trainer: training complete at 2024-03-04 18:31:41.227102.

README.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[60%:80%]
+      split: train[80%:100%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9235019241341397
+      value: 0.9138865510856758
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +32,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7415
-- Claim: {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}
-- Majorclaim: {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0}
-- O: {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}
-- Premise: {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0}
-- Accuracy: 0.9235
-- Macro avg: {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}
-- Weighted avg: {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0}
+- Loss: 0.7436
+- Claim: {'precision': 0.700735294117647, 'recall': 0.6859404990403071, 'f1-score': 0.6932589718719689, 'support': 4168.0}
+- Majorclaim: {'precision': 0.9293954776188279, 'recall': 0.9358736059479554, 'f1-score': 0.932623292428803, 'support': 2152.0}
+- O: {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}
+- Premise: {'precision': 0.9025936599423631, 'recall': 0.9079764764350203, 'f1-score': 0.9052770666446445, 'support': 12073.0}
+- Accuracy: 0.9139
+- Macro avg: {'precision': 0.8831590094489237, 'recall': 0.8824476453558208, 'f1-score': 0.8827787830125972, 'support': 29705.0}
+- Weighted avg: {'precision': 0.9132717427569804, 'recall': 0.9138865510856758, 'f1-score': 0.9135640049745629, 'support': 29705.0}
 
 ## Model description
 
@@ -70,56 +70,56 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2860          | {'precision': 0.6267132491265789, 'recall': 0.4720647773279352, 'f1-score': 0.5385059461955894, 'support': 4940.0} | {'precision': 0.9588039867109635, 'recall': 0.6595063985374772, 'f1-score': 0.7814784727863526, 'support': 2188.0} | {'precision': 0.9996969237763298, 'recall': 0.9880925634688834, 'f1-score': 0.9938608715302625, 'support': 13353.0} | {'precision': 0.8455112497215416, 'recall': 0.954902824076986, 'f1-score': 0.8968837690149166, 'support': 15899.0}  | 0.8838   | {'precision': 0.8576813523338533, 'recall': 0.7686416408528204, 'f1-score': 0.8026822648817803, 'support': 36380.0} | {'precision': 0.8792073379911217, 'recall': 0.8837548103353491, 'f1-score': 0.8768739289107891, 'support': 36380.0} |
-| No log        | 2.0   | 162  | 0.2489          | {'precision': 0.6453172205438067, 'recall': 0.648582995951417, 'f1-score': 0.6469459868753155, 'support': 4940.0}  | {'precision': 0.9669226225634967, 'recall': 0.7481718464351006, 'f1-score': 0.8435970110796187, 'support': 2188.0} | {'precision': 0.9983541557567143, 'recall': 0.9994008836965476, 'f1-score': 0.998877245508982, 'support': 13353.0}  | {'precision': 0.8972179761540813, 'recall': 0.922951129001824, 'f1-score': 0.9099026477336144, 'support': 15899.0}  | 0.9032   | {'precision': 0.8769529937545246, 'recall': 0.8297767137712222, 'f1-score': 0.8498307227993828, 'support': 36380.0} | {'precision': 0.9043261520711511, 'recall': 0.903243540406817, 'f1-score': 0.9028656814459712, 'support': 36380.0}  |
-| No log        | 3.0   | 243  | 0.2430          | {'precision': 0.6698958142935478, 'recall': 0.7419028340080972, 'f1-score': 0.7040630102775911, 'support': 4940.0} | {'precision': 0.8392204628501827, 'recall': 0.9446983546617916, 'f1-score': 0.8888411094388303, 'support': 2188.0} | {'precision': 0.9988769092542678, 'recall': 0.9991013255448213, 'f1-score': 0.998989104796136, 'support': 13353.0}  | {'precision': 0.9390987408880053, 'recall': 0.8913139191144097, 'f1-score': 0.914582593823615, 'support': 15899.0}  | 0.9138   | {'precision': 0.8617729818215009, 'recall': 0.8942541083322799, 'f1-score': 0.8766189545840432, 'support': 36380.0} | {'precision': 0.9184781183611038, 'recall': 0.9137987905442551, 'f1-score': 0.9154289662937856, 'support': 36380.0} |
-| No log        | 4.0   | 324  | 0.2398          | {'precision': 0.6754352763058289, 'recall': 0.7224696356275304, 'f1-score': 0.6981611893583725, 'support': 4940.0} | {'precision': 0.8836187966622749, 'recall': 0.9195612431444241, 'f1-score': 0.901231802911534, 'support': 2188.0}  | {'precision': 0.9998499399759904, 'recall': 0.9979779824758481, 'f1-score': 0.9989130842172332, 'support': 13353.0} | {'precision': 0.9266670970240785, 'recall': 0.9028869740235235, 'f1-score': 0.9146224912392481, 'support': 15899.0} | 0.9143   | {'precision': 0.8713927774920431, 'recall': 0.8857239588178316, 'f1-score': 0.8782321419315969, 'support': 36380.0} | {'precision': 0.9168247558035478, 'recall': 0.9142935678944475, 'f1-score': 0.9153623106642749, 'support': 36380.0} |
-| No log        | 5.0   | 405  | 0.2933          | {'precision': 0.6450999048525214, 'recall': 0.6862348178137652, 'f1-score': 0.6650318783717509, 'support': 4940.0} | {'precision': 0.8916702632714717, 'recall': 0.9442413162705667, 'f1-score': 0.9172031076581575, 'support': 2188.0} | {'precision': 0.9992495872730002, 'recall': 0.9972290870965326, 'f1-score': 0.9982383147794145, 'support': 13353.0} | {'precision': 0.9119622787753521, 'recall': 0.8880432731618341, 'f1-score': 0.8998438545616774, 'support': 15899.0} | 0.9041   | {'precision': 0.8619955085430864, 'recall': 0.8789371235856747, 'f1-score': 0.87007928884275, 'support': 36380.0}   | {'precision': 0.9065430476942037, 'recall': 0.9040956569543706, 'f1-score': 0.9051179642561333, 'support': 36380.0} |
-| No log        | 6.0   | 486  | 0.3605          | {'precision': 0.5740163325909429, 'recall': 0.7825910931174089, 'f1-score': 0.6622698072805139, 'support': 4940.0} | {'precision': 0.8842767295597485, 'recall': 0.9638939670932358, 'f1-score': 0.9223704351629127, 'support': 2188.0} | {'precision': 0.9993994444861497, 'recall': 0.9970044184827379, 'f1-score': 0.9982004948639124, 'support': 13353.0} | {'precision': 0.9398091685199799, 'recall': 0.8239511918988616, 'f1-score': 0.8780749379985253, 'support': 15899.0} | 0.8903   | {'precision': 0.8493754187892053, 'recall': 0.8918601676480611, 'f1-score': 0.865228918826466, 'support': 36380.0}  | {'precision': 0.9086708334194257, 'recall': 0.8902693787795491, 'f1-score': 0.8955262233990811, 'support': 36380.0} |
-| 0.2104        | 7.0   | 567  | 0.3641          | {'precision': 0.7110973341599504, 'recall': 0.6965587044534413, 'f1-score': 0.7037529399734124, 'support': 4940.0} | {'precision': 0.8959687906371911, 'recall': 0.9446983546617916, 'f1-score': 0.9196885428253615, 'support': 2188.0} | {'precision': 0.9996248780853777, 'recall': 0.997828203399985, 'f1-score': 0.9987257327036954, 'support': 13353.0}  | {'precision': 0.9187048098082364, 'recall': 0.9190515126737531, 'f1-score': 0.9188781285372909, 'support': 15899.0} | 0.9193   | {'precision': 0.8813489531726889, 'recall': 0.8895341937972427, 'f1-score': 0.8852613360099401, 'support': 36380.0} | {'precision': 0.9188476996393494, 'recall': 0.9192963166575041, 'f1-score': 0.9190227083446231, 'support': 36380.0} |
-| 0.2104        | 8.0   | 648  | 0.3522          | {'precision': 0.6562390158172232, 'recall': 0.7558704453441295, 'f1-score': 0.7025399811853246, 'support': 4940.0} | {'precision': 0.8848641655886158, 'recall': 0.9378427787934186, 'f1-score': 0.9105835367206567, 'support': 2188.0} | {'precision': 0.9991005172026085, 'recall': 0.9982026510896428, 'f1-score': 0.9986513823331086, 'support': 13353.0} | {'precision': 0.9345974717232203, 'recall': 0.8835146864582678, 'f1-score': 0.9083384525849526, 'support': 15899.0} | 0.9115   | {'precision': 0.8687002925829169, 'recall': 0.8938576404213647, 'f1-score': 0.8800283382060107, 'support': 36380.0} | {'precision': 0.9174837257168467, 'recall': 0.911544804837823, 'f1-score': 0.9136769997620249, 'support': 36380.0}  |
-| 0.2104        | 9.0   | 729  | 0.4436          | {'precision': 0.6275594908688434, 'recall': 0.6886639676113361, 'f1-score': 0.6566933693658913, 'support': 4940.0} | {'precision': 0.7706131078224101, 'recall': 0.9995429616087751, 'f1-score': 0.8702745722244328, 'support': 2188.0} | {'precision': 0.9983537862915295, 'recall': 0.9991762150827529, 'f1-score': 0.9987648313807688, 'support': 13353.0} | {'precision': 0.9350138917124077, 'recall': 0.8678533241084345, 'f1-score': 0.9001826722338205, 'support': 15899.0} | 0.8996   | {'precision': 0.8328850691737977, 'recall': 0.8888091171028246, 'f1-score': 0.8564788613012284, 'support': 36380.0} | {'precision': 0.90662587513727, 'recall': 0.8996426608026388, 'f1-score': 0.9015045934020747, 'support': 36380.0}   |
-| 0.2104        | 10.0  | 810  | 0.4409          | {'precision': 0.7145572025845686, 'recall': 0.7611336032388664, 'f1-score': 0.7371103705155853, 'support': 4940.0} | {'precision': 0.9194187582562747, 'recall': 0.9542961608775137, 'f1-score': 0.9365328549002018, 'support': 2188.0} | {'precision': 0.9993257416841475, 'recall': 0.9989515464689583, 'f1-score': 0.9991386090408599, 'support': 13353.0} | {'precision': 0.9344473837021743, 'recall': 0.9109377948298635, 'f1-score': 0.9225428371233836, 'support': 15899.0} | 0.9255   | {'precision': 0.8919372715567913, 'recall': 0.9063297763538004, 'f1-score': 0.8988311678950076, 'support': 36380.0} | {'precision': 0.927497977075915, 'recall': 0.9255085211654756, 'f1-score': 0.9263184587909816, 'support': 36380.0}  |
-| 0.2104        | 11.0  | 891  | 0.4955          | {'precision': 0.7086579123080348, 'recall': 0.6445344129554655, 'f1-score': 0.6750768578394996, 'support': 4940.0} | {'precision': 0.8220211161387632, 'recall': 0.9963436928702011, 'f1-score': 0.9008264462809917, 'support': 2188.0} | {'precision': 0.9998499849984999, 'recall': 0.9982775406275743, 'f1-score': 0.9990631440884392, 'support': 13353.0} | {'precision': 0.9167452681883921, 'recall': 0.9169759104346186, 'f1-score': 0.9168605748066159, 'support': 15899.0} | 0.9146   | {'precision': 0.8618185704084225, 'recall': 0.8890328892219649, 'f1-score': 0.8729567557538865, 'support': 36380.0} | {'precision': 0.9132952764575458, 'recall': 0.9145959318306762, 'f1-score': 0.9132365141301059, 'support': 36380.0} |
-| 0.2104        | 12.0  | 972  | 0.5210          | {'precision': 0.6866247209255125, 'recall': 0.6848178137651821, 'f1-score': 0.6857200770244248, 'support': 4940.0} | {'precision': 0.8543537680593518, 'recall': 1.0, 'f1-score': 0.9214571488734471, 'support': 2188.0}                | {'precision': 0.9979811574697174, 'recall': 0.9995506627724107, 'f1-score': 0.9987652935234033, 'support': 13353.0} | {'precision': 0.9239592731022039, 'recall': 0.9018177243851815, 'f1-score': 0.9127542413343095, 'support': 15899.0} | 0.9141   | {'precision': 0.8657297298891964, 'recall': 0.8965465502306935, 'f1-score': 0.8796741901888963, 'support': 36380.0} | {'precision': 0.9147147620844138, 'recall': 0.91412864211105, 'f1-score': 0.9140186385274314, 'support': 36380.0}   |
-| 0.0286        | 13.0  | 1053 | 0.5909          | {'precision': 0.7079991774624718, 'recall': 0.6969635627530364, 'f1-score': 0.7024380291747424, 'support': 4940.0} | {'precision': 0.8643507030603805, 'recall': 0.9552102376599635, 'f1-score': 0.9075119409465915, 'support': 2188.0} | {'precision': 0.9985774183887391, 'recall': 0.9988017673930952, 'f1-score': 0.9986895802912875, 'support': 13353.0} | {'precision': 0.9246014101505431, 'recall': 0.9155292785709793, 'f1-score': 0.9200429808482398, 'support': 15899.0} | 0.9188   | {'precision': 0.8738821772655336, 'recall': 0.8916262115942686, 'f1-score': 0.8821706328152152, 'support': 36380.0} | {'precision': 0.918717904416961, 'recall': 0.9188015393073117, 'f1-score': 0.9186076225687217, 'support': 36380.0}  |
-| 0.0286        | 14.0  | 1134 | 0.5594          | {'precision': 0.7137881581643106, 'recall': 0.7052631578947368, 'f1-score': 0.7095000509113125, 'support': 4940.0} | {'precision': 0.9252767527675276, 'recall': 0.916819012797075, 'f1-score': 0.921028466483012, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.9989515464689583, 'f1-score': 0.9994754982766372, 'support': 13353.0}                | {'precision': 0.9180215107553776, 'recall': 0.9233914082646707, 'f1-score': 0.9206986297074409, 'support': 15899.0} | 0.9211   | {'precision': 0.889271605421804, 'recall': 0.8861062813563602, 'f1-score': 0.8876756613446006, 'support': 36380.0}  | {'precision': 0.9208148168193181, 'recall': 0.9211105002748763, 'f1-score': 0.9209544908843665, 'support': 36380.0} |
-| 0.0286        | 15.0  | 1215 | 0.6214          | {'precision': 0.6282454109475774, 'recall': 0.7690283400809717, 'f1-score': 0.6915445526531356, 'support': 4940.0} | {'precision': 0.9042918454935622, 'recall': 0.9629798903107861, 'f1-score': 0.9327135900841081, 'support': 2188.0} | {'precision': 0.9998501199040767, 'recall': 0.9991762150827529, 'f1-score': 0.9995130539011873, 'support': 13353.0} | {'precision': 0.936421311139914, 'recall': 0.8633876344424177, 'f1-score': 0.8984226716408141, 'support': 15899.0}  | 0.9064   | {'precision': 0.8672021718712826, 'recall': 0.898643019979232, 'f1-score': 0.8805484670698113, 'support': 36380.0}  | {'precision': 0.9159231436204942, 'recall': 0.9064046179219352, 'f1-score': 0.9094977265082566, 'support': 36380.0} |
-| 0.0286        | 16.0  | 1296 | 0.6214          | {'precision': 0.6727738376674547, 'recall': 0.6912955465587044, 'f1-score': 0.6819089456869009, 'support': 4940.0} | {'precision': 0.9244343891402715, 'recall': 0.9337294332723949, 'f1-score': 0.9290586630286495, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9996255523103422, 'f1-score': 0.9998127410958391, 'support': 13353.0}                | {'precision': 0.9131843007748, 'recall': 0.9043965029247123, 'f1-score': 0.9087691578448412, 'support': 15899.0}    | 0.9122   | {'precision': 0.8775981318956315, 'recall': 0.8822617587665385, 'f1-score': 0.8798873769140577, 'support': 36380.0} | {'precision': 0.9130808795913876, 'recall': 0.9121770203408466, 'f1-score': 0.9126011797368843, 'support': 36380.0} |
-| 0.0286        | 17.0  | 1377 | 0.6075          | {'precision': 0.7524590163934426, 'recall': 0.6504048582995952, 'f1-score': 0.6977198697068404, 'support': 4940.0} | {'precision': 0.8998309382924767, 'recall': 0.9730347349177331, 'f1-score': 0.935002195871761, 'support': 2188.0}  | {'precision': 0.9994757732344791, 'recall': 0.9994757732344791, 'f1-score': 0.9994757732344791, 'support': 13353.0} | {'precision': 0.908120309926179, 'recall': 0.9362224039247752, 'f1-score': 0.9219572623103128, 'support': 15899.0}  | 0.9228   | {'precision': 0.8899715094616443, 'recall': 0.8897844425941457, 'f1-score': 0.8885387752808483, 'support': 36380.0} | {'precision': 0.9200160099363349, 'recall': 0.9228422210005498, 'f1-score': 0.9207454500932067, 'support': 36380.0} |
-| 0.0286        | 18.0  | 1458 | 0.6335          | {'precision': 0.7486433152442032, 'recall': 0.6143724696356275, 'f1-score': 0.6748943740271293, 'support': 4940.0} | {'precision': 0.8974247053688346, 'recall': 0.9396709323583181, 'f1-score': 0.9180620674257648, 'support': 2188.0} | {'precision': 0.9998501984870047, 'recall': 0.9997004418482738, 'f1-score': 0.9997753145596164, 'support': 13353.0} | {'precision': 0.898945097099017, 'recall': 0.9433297691678721, 'f1-score': 0.9206027683147655, 'support': 15899.0}  | 0.9191   | {'precision': 0.8862158290497649, 'recall': 0.874268403252523, 'f1-score': 0.878333631081819, 'support': 36380.0}   | {'precision': 0.9154807870211, 'recall': 0.9191313908741067, 'f1-score': 0.9161451676737934, 'support': 36380.0}    |
-| 0.0091        | 19.0  | 1539 | 0.6328          | {'precision': 0.7439243924392439, 'recall': 0.6692307692307692, 'f1-score': 0.7046035805626598, 'support': 4940.0} | {'precision': 0.8727272727272727, 'recall': 0.9872029250457038, 'f1-score': 0.9264422045893201, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9153078306156612, 'recall': 0.9285489653437323, 'f1-score': 0.921880854252529, 'support': 15899.0}  | 0.9225   | {'precision': 0.8829898739455444, 'recall': 0.8958524948309107, 'f1-score': 0.8880349201096995, 'support': 36380.0} | {'precision': 0.9205605544347316, 'recall': 0.9225123694337548, 'f1-score': 0.9210355324440019, 'support': 36380.0} |
-| 0.0091        | 20.0  | 1620 | 0.6888          | {'precision': 0.7153778942769768, 'recall': 0.6629554655870445, 'f1-score': 0.6881697835679765, 'support': 4940.0} | {'precision': 0.8919597989949749, 'recall': 0.973491773308958, 'f1-score': 0.9309440559440559, 'support': 2188.0}  | {'precision': 0.9997753313862053, 'recall': 0.9997753313862053, 'f1-score': 0.9997753313862053, 'support': 13353.0} | {'precision': 0.9115248116555632, 'recall': 0.92081262972514, 'f1-score': 0.9161451814768461, 'support': 15899.0}   | 0.9179   | {'precision': 0.87965945907843, 'recall': 0.8892588000018369, 'f1-score': 0.883758588093771, 'support': 36380.0}    | {'precision': 0.9161052176591827, 'recall': 0.9179494227597581, 'f1-score': 0.916774507023963, 'support': 36380.0}  |
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-| 0.0091        | 23.0  | 1863 | 0.6954          | {'precision': 0.6750700280112045, 'recall': 0.7317813765182186, 'f1-score': 0.7022826614861584, 'support': 4940.0} | {'precision': 0.8772901576480614, 'recall': 0.9410420475319927, 'f1-score': 0.9080485115766262, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9977533138620535, 'f1-score': 0.9988753936122357, 'support': 13353.0}                | {'precision': 0.9295994789970694, 'recall': 0.8977923139820114, 'f1-score': 0.9134190823574582, 'support': 15899.0} | 0.9145   | {'precision': 0.8704899161640838, 'recall': 0.892092262973569, 'f1-score': 0.8806564122581195, 'support': 36380.0}  | {'precision': 0.9177311412832249, 'recall': 0.9145409565695437, 'f1-score': 0.9157921828580727, 'support': 36380.0} |
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-| 0.0045        | 25.0  | 2025 | 0.7267          | {'precision': 0.7481386392811297, 'recall': 0.5898785425101215, 'f1-score': 0.6596491228070176, 'support': 4940.0} | {'precision': 0.9177897574123989, 'recall': 0.9337294332723949, 'f1-score': 0.9256909832351607, 'support': 2188.0} | {'precision': 0.9999251048532055, 'recall': 0.9998502209241369, 'f1-score': 0.9998876614866129, 'support': 13353.0} | {'precision': 0.8901046903649376, 'recall': 0.9465375180828983, 'f1-score': 0.9174541242455649, 'support': 15899.0} | 0.9169   | {'precision': 0.888989547977918, 'recall': 0.867498928697388, 'f1-score': 0.8756704729435891, 'support': 36380.0}   | {'precision': 0.9128010792876335, 'recall': 0.9169048927982408, 'f1-score': 0.9131990545133639, 'support': 36380.0} |
-| 0.0045        | 26.0  | 2106 | 0.6803          | {'precision': 0.6994106090373281, 'recall': 0.7206477732793523, 'f1-score': 0.7098703888334996, 'support': 4940.0} | {'precision': 0.8851976450798991, 'recall': 0.9620658135283364, 'f1-score': 0.9220324134910205, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9991013255448213, 'f1-score': 0.9995504607777028, 'support': 13353.0}                | {'precision': 0.9268511977393873, 'recall': 0.9077300459148374, 'f1-score': 0.9171909755322529, 'support': 15899.0} | 0.9191   | {'precision': 0.8778648629641536, 'recall': 0.8973862395668368, 'f1-score': 0.887161059658619, 'support': 36380.0}  | {'precision': 0.9203108314716255, 'recall': 0.9191313908741067, 'f1-score': 0.9195597378864155, 'support': 36380.0} |
-| 0.0045        | 27.0  | 2187 | 0.6693          | {'precision': 0.7271731990365666, 'recall': 0.6722672064777327, 'f1-score': 0.698643105080467, 'support': 4940.0}  | {'precision': 0.8932754880694144, 'recall': 0.9410420475319927, 'f1-score': 0.9165368350767862, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9983524301655059, 'f1-score': 0.9991755359016639, 'support': 13353.0}                | {'precision': 0.9127155838536193, 'recall': 0.9286747594188314, 'f1-score': 0.9206260132186058, 'support': 15899.0} | 0.9202   | {'precision': 0.8832910677399001, 'recall': 0.8850841108985157, 'f1-score': 0.8837453723193808, 'support': 36380.0} | {'precision': 0.918388879571886, 'recall': 0.9201759208356239, 'f1-score': 0.9190682641369721, 'support': 36380.0}  |
-| 0.0045        | 28.0  | 2268 | 0.6845          | {'precision': 0.7188900747065101, 'recall': 0.6817813765182186, 'f1-score': 0.6998441558441558, 'support': 4940.0} | {'precision': 0.9094219390077378, 'recall': 0.9131627056672761, 'f1-score': 0.9112884834663626, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9139372175097518, 'recall': 0.9284231712686333, 'f1-score': 0.9211232449297972, 'support': 15899.0} | 0.9201   | {'precision': 0.8855435770050709, 'recall': 0.8807107566721517, 'f1-score': 0.8829890646930376, 'support': 36380.0} | {'precision': 0.9187416037176308, 'recall': 0.9200934579439253, 'f1-score': 0.9193256433193232, 'support': 36380.0} |
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-| 0.0045        | 30.0  | 2430 | 0.7106          | {'precision': 0.7097318978256281, 'recall': 0.6805668016194332, 'f1-score': 0.6948434432158727, 'support': 4940.0} | {'precision': 0.8985126859142607, 'recall': 0.9387568555758684, 'f1-score': 0.9181940098345999, 'support': 2188.0} | {'precision': 0.9999250543356066, 'recall': 0.9991762150827529, 'f1-score': 0.9995504944560982, 'support': 13353.0} | {'precision': 0.91476208317722, 'recall': 0.9213787030630858, 'f1-score': 0.9180584714693073, 'support': 15899.0}   | 0.9183   | {'precision': 0.8807329303131789, 'recall': 0.8849696438352851, 'f1-score': 0.8826616047439695, 'support': 36380.0} | {'precision': 0.9172023898575309, 'recall': 0.9182792743265531, 'f1-score': 0.917667523182169, 'support': 36380.0}  |
-| 0.0031        | 31.0  | 2511 | 0.6843          | {'precision': 0.7165338238299611, 'recall': 0.7097165991902834, 'f1-score': 0.7131089189464049, 'support': 4940.0} | {'precision': 0.8918217221981826, 'recall': 0.9419561243144424, 'f1-score': 0.9162036008001779, 'support': 2188.0} | {'precision': 0.9999250374812594, 'recall': 0.9989515464689583, 'f1-score': 0.9994380549207659, 'support': 13353.0} | {'precision': 0.9235918161151806, 'recall': 0.9199320711994465, 'f1-score': 0.9217583110130771, 'support': 15899.0} | 0.9217   | {'precision': 0.882968099906146, 'recall': 0.8926390852932827, 'f1-score': 0.8876272214201064, 'support': 36380.0}  | {'precision': 0.9215824169266671, 'recall': 0.9217152281473338, 'f1-score': 0.9216037183150064, 'support': 36380.0} |
-| 0.0031        | 32.0  | 2592 | 0.7217          | {'precision': 0.720086862106406, 'recall': 0.671255060728745, 'f1-score': 0.6948140387637506, 'support': 4940.0}   | {'precision': 0.8846646732165742, 'recall': 0.946526508226691, 'f1-score': 0.9145506734378449, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9131946600434647, 'recall': 0.9250267312409586, 'f1-score': 0.9190726159230096, 'support': 15899.0} | 0.9187   | {'precision': 0.8794865488416111, 'recall': 0.8852527378215094, 'f1-score': 0.8818844613318033, 'support': 36380.0} | {'precision': 0.9171181227002353, 'recall': 0.918719076415613, 'f1-score': 0.9177224560676552, 'support': 36380.0}  |
-| 0.0031        | 33.0  | 2673 | 0.7048          | {'precision': 0.7463226974428604, 'recall': 0.6676113360323886, 'f1-score': 0.7047761512982157, 'support': 4940.0} | {'precision': 0.8873358746293943, 'recall': 0.9574954296160878, 'f1-score': 0.921081556386019, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9127842655193608, 'recall': 0.9340839046480911, 'f1-score': 0.9233112623954739, 'support': 15899.0} | 0.9229   | {'precision': 0.8866107093979039, 'recall': 0.8893670527310353, 'f1-score': 0.8870767495093961, 'support': 36380.0} | {'precision': 0.9206619586736987, 'recall': 0.922869708631116, 'f1-score': 0.9213341528568705, 'support': 36380.0}  |
-| 0.0031        | 34.0  | 2754 | 0.7385          | {'precision': 0.7408897831433042, 'recall': 0.6708502024291498, 'f1-score': 0.704132582598534, 'support': 4940.0}  | {'precision': 0.8869675242513707, 'recall': 0.9611517367458866, 'f1-score': 0.9225707391971923, 'support': 2188.0} | {'precision': 0.9999249699879952, 'recall': 0.9980528720137797, 'f1-score': 0.9989880439263896, 'support': 13353.0} | {'precision': 0.9134378084896347, 'recall': 0.9311906409208126, 'f1-score': 0.9222287974584982, 'support': 15899.0} | 0.9222   | {'precision': 0.8853050214680762, 'recall': 0.8903113630274071, 'f1-score': 0.8869800407951536, 'support': 36380.0} | {'precision': 0.9201601515452535, 'recall': 0.9221825178669598, 'f1-score': 0.9208082115651994, 'support': 36380.0} |
-| 0.0031        | 35.0  | 2835 | 0.7338          | {'precision': 0.7179064496187925, 'recall': 0.7052631578947368, 'f1-score': 0.7115286429081996, 'support': 4940.0} | {'precision': 0.9028021015761821, 'recall': 0.9424131627056673, 'f1-score': 0.9221824686940967, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9207167557371896, 'recall': 0.9210642178753381, 'f1-score': 0.9208904540309396, 'support': 15899.0} | 0.9216   | {'precision': 0.8853375832932451, 'recall': 0.8918855764672093, 'f1-score': 0.8884911617054129, 'support': 36380.0} | {'precision': 0.9211727167186562, 'recall': 0.9215777899945025, 'f1-score': 0.9213419265864765, 'support': 36380.0} |
-| 0.0031        | 36.0  | 2916 | 0.7660          | {'precision': 0.6856398809523809, 'recall': 0.7461538461538462, 'f1-score': 0.7146180690189995, 'support': 4940.0} | {'precision': 0.893299189073837, 'recall': 0.956581352833638, 'f1-score': 0.9238578680203046, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9318893528183716, 'recall': 0.8984212843575068, 'f1-score': 0.9148493291062222, 'support': 15899.0} | 0.9180   | {'precision': 0.8777071057111474, 'recall': 0.89991467314659, 'f1-score': 0.8881439523753982, 'support': 36380.0}   | {'precision': 0.9211299741082354, 'recall': 0.9179769103903244, 'f1-score': 0.9191807659449058, 'support': 36380.0} |
-| 0.0031        | 37.0  | 2997 | 0.7609          | {'precision': 0.7443946188340808, 'recall': 0.6720647773279352, 'f1-score': 0.7063829787234043, 'support': 4940.0} | {'precision': 0.875306623058054, 'recall': 0.9785191956124314, 'f1-score': 0.9240397065170479, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9975286452482588, 'f1-score': 0.9987627938364638, 'support': 13353.0}                | {'precision': 0.9151293797201931, 'recall': 0.9298069060947229, 'f1-score': 0.9224097588369263, 'support': 15899.0} | 0.9226   | {'precision': 0.883707655403082, 'recall': 0.8944798810708371, 'f1-score': 0.8878988094784606, 'support': 36380.0}  | {'precision': 0.9207015480061224, 'recall': 0.9225948323254536, 'f1-score': 0.9211985468554017, 'support': 36380.0} |
-| 0.0007        | 38.0  | 3078 | 0.7454          | {'precision': 0.7367860187553282, 'recall': 0.6997975708502024, 'f1-score': 0.7178156146179401, 'support': 4940.0} | {'precision': 0.8893097643097643, 'recall': 0.9657221206581352, 'f1-score': 0.9259421560035057, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9218290009395553, 'recall': 0.9256557016164538, 'f1-score': 0.9237383881496359, 'support': 15899.0} | 0.9245   | {'precision': 0.8869624652002329, 'recall': 0.8976627915898177, 'f1-score': 0.8917991333257291, 'support': 36380.0} | {'precision': 0.9234109822253945, 'recall': 0.9244914788345244, 'f1-score': 0.9237901678906805, 'support': 36380.0} |
-| 0.0007        | 39.0  | 3159 | 0.7313          | {'precision': 0.7448151487826871, 'recall': 0.668825910931174, 'f1-score': 0.704778156996587, 'support': 4940.0}   | {'precision': 0.8852459016393442, 'recall': 0.9625228519195612, 'f1-score': 0.9222684475585724, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9137453021994948, 'recall': 0.9328259638971005, 'f1-score': 0.9231870525988172, 'support': 15899.0} | 0.9229   | {'precision': 0.8859515881553816, 'recall': 0.8906879563817841, 'f1-score': 0.8873804250053225, 'support': 36380.0} | {'precision': 0.9207515510567105, 'recall': 0.9228971962616822, 'f1-score': 0.9214065872594044, 'support': 36380.0} |
-| 0.0007        | 40.0  | 3240 | 0.7378          | {'precision': 0.7307852098047362, 'recall': 0.7121457489878542, 'f1-score': 0.7213450891941768, 'support': 4940.0} | {'precision': 0.8979416809605489, 'recall': 0.9570383912248629, 'f1-score': 0.9265486725663717, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9231446540880504, 'recall': 0.9232027171520222, 'f1-score': 0.9231736847070662, 'support': 15899.0} | 0.9242   | {'precision': 0.8879678862133338, 'recall': 0.89774098903601, 'f1-score': 0.8925888723337321, 'support': 36380.0}   | {'precision': 0.9237177622243814, 'recall': 0.9242440901594282, 'f1-score': 0.9239077758592451, 'support': 36380.0} |
-| 0.0007        | 41.0  | 3321 | 0.7536          | {'precision': 0.731932232468368, 'recall': 0.6908906882591093, 'f1-score': 0.7108195355618034, 'support': 4940.0}  | {'precision': 0.8881469115191987, 'recall': 0.9725776965265083, 'f1-score': 0.9284467713787086, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9187566451935706, 'recall': 0.9239574816026165, 'f1-score': 0.9213497240341193, 'support': 15899.0} | 0.9226   | {'precision': 0.8847089472952844, 'recall': 0.8964632965229179, 'f1-score': 0.8899572680022301, 'support': 36380.0} | {'precision': 0.9213667557100144, 'recall': 0.9225673446948873, 'f1-score': 0.921768033007181, 'support': 36380.0}  |
-| 0.0007        | 42.0  | 3402 | 0.7416          | {'precision': 0.7358247422680413, 'recall': 0.6935222672064777, 'f1-score': 0.7140475197999167, 'support': 4940.0} | {'precision': 0.8910766652702137, 'recall': 0.9721206581352834, 'f1-score': 0.9298360655737705, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.919265137786665, 'recall': 0.9252783193911567, 'f1-score': 0.9222619271519027, 'support': 15899.0}  | 0.9235   | {'precision': 0.88654163633123, 'recall': 0.8973745858780546, 'f1-score': 0.8913583888482258, 'support': 36380.0}   | {'precision': 0.9222937437076839, 'recall': 0.9235294117647059, 'f1-score': 0.9227160988312902, 'support': 36380.0} |
-| 0.0007        | 43.0  | 3483 | 0.7578          | {'precision': 0.7373890452478892, 'recall': 0.6894736842105263, 'f1-score': 0.7126268438121143, 'support': 4940.0} | {'precision': 0.8900961136648559, 'recall': 0.973491773308958, 'f1-score': 0.9299279633267845, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9181319366504551, 'recall': 0.9261588779168501, 'f1-score': 0.9221279393806557, 'support': 15899.0} | 0.9233   | {'precision': 0.8864042738908001, 'recall': 0.8968504690159773, 'f1-score': 0.8909551936193576, 'support': 36380.0} | {'precision': 0.9219519472520303, 'recall': 0.9233369983507421, 'f1-score': 0.9224150958693075, 'support': 36380.0} |
-| 0.0003        | 44.0  | 3564 | 0.7405          | {'precision': 0.7482868889904066, 'recall': 0.6631578947368421, 'f1-score': 0.7031551835157759, 'support': 4940.0} | {'precision': 0.8901098901098901, 'recall': 0.9625228519195612, 'f1-score': 0.924901185770751, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9114273446604919, 'recall': 0.9345870809484873, 'f1-score': 0.9228619340413639, 'support': 15899.0} | 0.9229   | {'precision': 0.8874560309401971, 'recall': 0.8896925092115648, 'f1-score': 0.8875422116709895, 'support': 36380.0} | {'precision': 0.9205025020321663, 'recall': 0.922869708631116, 'f1-score': 0.9211886969706305, 'support': 36380.0}  |
-| 0.0003        | 45.0  | 3645 | 0.7358          | {'precision': 0.7416612164813604, 'recall': 0.6886639676113361, 'f1-score': 0.7141807494489346, 'support': 4940.0} | {'precision': 0.8908167583580194, 'recall': 0.9620658135283364, 'f1-score': 0.9250714128762909, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9177690826656729, 'recall': 0.9294295238694258, 'f1-score': 0.9235625000000001, 'support': 15899.0} | 0.9239   | {'precision': 0.8875617643762631, 'recall': 0.8945904890246853, 'f1-score': 0.8904787948819586, 'support': 36380.0} | {'precision': 0.9224168257835843, 'recall': 0.9239417262231996, 'f1-score': 0.9229471838196122, 'support': 36380.0} |
-| 0.0003        | 46.0  | 3726 | 0.7377          | {'precision': 0.7419004131332898, 'recall': 0.6906882591093118, 'f1-score': 0.7153789705419855, 'support': 4940.0} | {'precision': 0.8880565959217644, 'recall': 0.9753199268738574, 'f1-score': 0.9296449575255936, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9979779824758481, 'f1-score': 0.9989879680647701, 'support': 13353.0}                | {'precision': 0.9186394218788936, 'recall': 0.9274797157053902, 'f1-score': 0.9230384025539106, 'support': 15899.0} | 0.9241   | {'precision': 0.887149107733487, 'recall': 0.8978664710411017, 'f1-score': 0.891762574671565, 'support': 36380.0}   | {'precision': 0.9226636624850962, 'recall': 0.9240791643760308, 'f1-score': 0.9231146009158029, 'support': 36380.0} |
-| 0.0003        | 47.0  | 3807 | 0.7395          | {'precision': 0.7348195329087048, 'recall': 0.7006072874493927, 'f1-score': 0.7173056994818653, 'support': 4940.0} | {'precision': 0.8904623073719283, 'recall': 0.9771480804387569, 'f1-score': 0.9317934190455436, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9211896843822551, 'recall': 0.9233914082646707, 'f1-score': 0.9222892323156174, 'support': 15899.0} | 0.9239   | {'precision': 0.8866178811657222, 'recall': 0.8998935239640644, 'f1-score': 0.8926503479693289, 'support': 36380.0} | {'precision': 0.9229613747414034, 'recall': 0.9239142385926333, 'f1-score': 0.9232606486484036, 'support': 36380.0} |
-| 0.0003        | 48.0  | 3888 | 0.7407          | {'precision': 0.730044463264874, 'recall': 0.6979757085020243, 'f1-score': 0.7136500051743766, 'support': 4940.0}  | {'precision': 0.8839801816680429, 'recall': 0.9785191956124314, 'f1-score': 0.9288503253796095, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9213935354043516, 'recall': 0.9215673941757343, 'f1-score': 0.9214804565894154, 'support': 15899.0} | 0.9229   | {'precision': 0.8838545450843172, 'recall': 0.8991411268828897, 'f1-score': 0.8908078326248671, 'support': 36380.0} | {'precision': 0.9220122074054958, 'recall': 0.922869708631116, 'f1-score': 0.9222475487146972, 'support': 36380.0}  |
-| 0.0003        | 49.0  | 3969 | 0.7422          | {'precision': 0.7314540059347181, 'recall': 0.698582995951417, 'f1-score': 0.714640712362808, 'support': 4940.0}   | {'precision': 0.8828865979381443, 'recall': 0.9785191956124314, 'f1-score': 0.9282462605679601, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9217806841046278, 'recall': 0.9220705704761306, 'f1-score': 0.9219256045027199, 'support': 15899.0} | 0.9232   | {'precision': 0.8840303219943725, 'recall': 0.899418742820337, 'f1-score': 0.8910157801973887, 'support': 36380.0}  | {'precision': 0.9223070302964718, 'recall': 0.9231720725673447, 'f1-score': 0.9225402866579788, 'support': 36380.0} |
-| 0.0004        | 50.0  | 4050 | 0.7415          | {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}  | {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0} | 0.9235   | {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}  | {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0} |
+| No log        | 1.0   | 81   | 0.2830          | {'precision': 0.5768789443488239, 'recall': 0.4824856046065259, 'f1-score': 0.5254768748366867, 'support': 4168.0} | {'precision': 0.7495921696574225, 'recall': 0.854089219330855, 'f1-score': 0.7984361424847959, 'support': 2152.0}  | {'precision': 0.9988511841640155, 'recall': 0.9992043847241867, 'f1-score': 0.9990277532260916, 'support': 11312.0} | {'precision': 0.8719781543651113, 'recall': 0.8992793837488611, 'f1-score': 0.8854183656825966, 'support': 12073.0} | 0.8756   | {'precision': 0.7993251131338432, 'recall': 0.8087646481026072, 'f1-score': 0.8020897840575427, 'support': 29705.0} | {'precision': 0.8700202202343714, 'recall': 0.8755765022723447, 'f1-score': 0.8718761173649596, 'support': 29705.0} |
+| No log        | 2.0   | 162  | 0.2736          | {'precision': 0.6124497991967871, 'recall': 0.5122360844529751, 'f1-score': 0.5578782336033447, 'support': 4168.0} | {'precision': 0.9571619812583668, 'recall': 0.6644981412639405, 'f1-score': 0.784421283598464, 'support': 2152.0}  | {'precision': 0.9997348652231551, 'recall': 1.0, 'f1-score': 0.9998674150351351, 'support': 11312.0}                | {'precision': 0.8530201342281879, 'recall': 0.9474861260664292, 'f1-score': 0.8977749872463995, 'support': 12073.0} | 0.8859   | {'precision': 0.8555916949766242, 'recall': 0.7810550879458362, 'f1-score': 0.8099854798708358, 'support': 29705.0} | {'precision': 0.8826802296805741, 'recall': 0.8859114627167144, 'f1-score': 0.8807489883812781, 'support': 29705.0} |
+| No log        | 3.0   | 243  | 0.2259          | {'precision': 0.6627322953289804, 'recall': 0.6331573896353166, 'f1-score': 0.64760736196319, 'support': 4168.0}   | {'precision': 0.8881875563570785, 'recall': 0.9154275092936803, 'f1-score': 0.9016018306636155, 'support': 2152.0} | {'precision': 1.0, 'recall': 0.9993811881188119, 'f1-score': 0.9996904982977407, 'support': 11312.0}                | {'precision': 0.8936065573770492, 'recall': 0.9030067091857865, 'f1-score': 0.8982820417748115, 'support': 12073.0} | 0.9027   | {'precision': 0.861131602265777, 'recall': 0.8627431990583988, 'f1-score': 0.8617954331748394, 'support': 29705.0}  | {'precision': 0.9013351218793044, 'recall': 0.9027436458508669, 'f1-score': 0.9019670975035187, 'support': 29705.0} |
+| No log        | 4.0   | 324  | 0.3234          | {'precision': 0.5561865427637239, 'recall': 0.7754318618042226, 'f1-score': 0.6477602966229081, 'support': 4168.0} | {'precision': 0.8627031650983746, 'recall': 0.9372676579925651, 'f1-score': 0.8984409799554566, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9384029675907849, 'recall': 0.7962395427814131, 'f1-score': 0.861495720750997, 'support': 12073.0}  | 0.8811   | {'precision': 0.8393231688632209, 'recall': 0.8772347656445502, 'f1-score': 0.8519242493323405, 'support': 29705.0} | {'precision': 0.9027457246003854, 'recall': 0.8811311227066151, 'f1-score': 0.8869263673393438, 'support': 29705.0} |
+| No log        | 5.0   | 405  | 0.3072          | {'precision': 0.6833864888373442, 'recall': 0.5654990403071017, 'f1-score': 0.6188788236838649, 'support': 4168.0} | {'precision': 0.9230033476805356, 'recall': 0.8968401486988847, 'f1-score': 0.909733679000707, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8706816059757236, 'recall': 0.9268615919821088, 'f1-score': 0.8978936810431294, 'support': 12073.0} | 0.9018   | {'precision': 0.8692457621526151, 'recall': 0.8473001952470238, 'f1-score': 0.8566154962081685, 'support': 29705.0} | {'precision': 0.8974043833368577, 'recall': 0.9018347079616226, 'f1-score': 0.8984684143294738, 'support': 29705.0} |
+| No log        | 6.0   | 486  | 0.3635          | {'precision': 0.6545212765957447, 'recall': 0.5904510556621881, 'f1-score': 0.620837537840565, 'support': 4168.0}  | {'precision': 0.8547509418166597, 'recall': 0.9488847583643123, 'f1-score': 0.8993613741466637, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8869558114841134, 'recall': 0.8994450426571688, 'f1-score': 0.8931567692054615, 'support': 12073.0} | 0.8980   | {'precision': 0.8490349090033436, 'recall': 0.8596952141709173, 'f1-score': 0.8533278705744156, 'support': 29705.0} | {'precision': 0.8950239457358053, 'recall': 0.8979633058407676, 'f1-score': 0.8960665959131486, 'support': 29705.0} |
+| 0.214         | 7.0   | 567  | 0.3469          | {'precision': 0.6769303647560397, 'recall': 0.685700575815739, 'f1-score': 0.6812872467222885, 'support': 4168.0}  | {'precision': 0.9319887429643527, 'recall': 0.9233271375464684, 'f1-score': 0.9276377217553688, 'support': 2152.0} | {'precision': 0.9999115983026874, 'recall': 0.9999115983026874, 'f1-score': 0.9999115983026874, 'support': 11312.0} | {'precision': 0.9029819752471135, 'recall': 0.9004389961070156, 'f1-score': 0.9017086927670869, 'support': 12073.0} | 0.9098   | {'precision': 0.8779531703175483, 'recall': 0.8773445769429775, 'f1-score': 0.8776363148868579, 'support': 29705.0} | {'precision': 0.910277290769933, 'recall': 0.9098468271334792, 'f1-score': 0.9100559053806798, 'support': 29705.0}  |
+| 0.214         | 8.0   | 648  | 0.4017          | {'precision': 0.6105725260654838, 'recall': 0.8008637236084453, 'f1-score': 0.6928905033731187, 'support': 4168.0} | {'precision': 0.9278779472954231, 'recall': 0.9326208178438662, 'f1-score': 0.9302433371958285, 'support': 2152.0} | {'precision': 1.0, 'recall': 0.9998231966053748, 'f1-score': 0.9999115904871364, 'support': 11312.0}                | {'precision': 0.9356247097073851, 'recall': 0.8342582622380519, 'f1-score': 0.8820387074174622, 'support': 12073.0} | 0.8997   | {'precision': 0.868518795767073, 'recall': 0.8918915000739345, 'f1-score': 0.8762710346183864, 'support': 29705.0}  | {'precision': 0.9139692560686062, 'recall': 0.8997475172529877, 'f1-score': 0.9038782866839282, 'support': 29705.0} |
+| 0.214         | 9.0   | 729  | 0.4713          | {'precision': 0.7130531589201224, 'recall': 0.6146833013435701, 'f1-score': 0.6602241979126401, 'support': 4168.0} | {'precision': 0.8839681133746679, 'recall': 0.9275092936802974, 'f1-score': 0.9052154195011338, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8903596204449405, 'recall': 0.9248736850824153, 'f1-score': 0.9072885349800925, 'support': 12073.0} | 0.9101   | {'precision': 0.8718231247141469, 'recall': 0.8667665700265708, 'f1-score': 0.8681709883747097, 'support': 29705.0} | {'precision': 0.9067368029754924, 'recall': 0.910149806429894, 'f1-score': 0.9077607320175198, 'support': 29705.0}  |
+| 0.214         | 10.0  | 810  | 0.4968          | {'precision': 0.6562300319488817, 'recall': 0.7392034548944337, 'f1-score': 0.6952499153785399, 'support': 4168.0} | {'precision': 0.9344422700587084, 'recall': 0.887546468401487, 'f1-score': 0.9103908484270734, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9174532349407929, 'recall': 0.8856125238134681, 'f1-score': 0.9012517385257303, 'support': 12073.0} | 0.9088   | {'precision': 0.8770313842370958, 'recall': 0.8780906117773473, 'f1-score': 0.8767231255828358, 'support': 29705.0} | {'precision': 0.9134657277821738, 'recall': 0.9087695674128935, 'f1-score': 0.9106135328171674, 'support': 29705.0} |
+| 0.214         | 11.0  | 891  | 0.5865          | {'precision': 0.6913151364764268, 'recall': 0.668426103646833, 'f1-score': 0.6796779702366431, 'support': 4168.0}  | {'precision': 0.9079646017699115, 'recall': 0.9535315985130112, 'f1-score': 0.9301903898458749, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9008428358948934, 'recall': 0.9030067091857865, 'f1-score': 0.901923474663909, 'support': 12073.0}  | 0.9107   | {'precision': 0.8750085450645222, 'recall': 0.8812411028364077, 'f1-score': 0.8779369089628499, 'support': 29705.0} | {'precision': 0.9096858090555641, 'recall': 0.9106884362901868, 'f1-score': 0.9101191594213591, 'support': 29705.0} |
+| 0.214         | 12.0  | 972  | 0.5556          | {'precision': 0.6425824731835661, 'recall': 0.7617562380038387, 'f1-score': 0.697112745636184, 'support': 4168.0}  | {'precision': 0.920556552962298, 'recall': 0.9530669144981413, 'f1-score': 0.9365296803652968, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9260513186029936, 'recall': 0.8609293464756067, 'f1-score': 0.8923037300940034, 'support': 12073.0} | 0.9066   | {'precision': 0.8722975861872144, 'recall': 0.8939381247443967, 'f1-score': 0.8814865390238711, 'support': 29705.0} | {'precision': 0.9140393543072853, 'recall': 0.9066487123379903, 'f1-score': 0.9091318205481447, 'support': 29705.0} |
+| 0.0252        | 13.0  | 1053 | 0.5548          | {'precision': 0.7212470526591565, 'recall': 0.6605086372360844, 'f1-score': 0.6895428929242329, 'support': 4168.0} | {'precision': 0.9069870939029817, 'recall': 0.9470260223048327, 'f1-score': 0.9265742214139577, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8989292667099286, 'recall': 0.917916010933488, 'f1-score': 0.9083234293676489, 'support': 12073.0}  | 0.9152   | {'precision': 0.8817687548472308, 'recall': 0.8813626676186013, 'f1-score': 0.8810990862027029, 'support': 29705.0} | {'precision': 0.9130371003853032, 'recall': 0.9151657970038714, 'f1-score': 0.9138424940934561, 'support': 29705.0} |
+| 0.0252        | 14.0  | 1134 | 0.5989          | {'precision': 0.6706368497812348, 'recall': 0.6619481765834933, 'f1-score': 0.6662641873943491, 'support': 4168.0} | {'precision': 0.9337434926644581, 'recall': 0.91682156133829, 'f1-score': 0.9252051582649472, 'support': 2152.0}   | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8933914187078744, 'recall': 0.9002733371987078, 'f1-score': 0.8968191757085687, 'support': 12073.0} | 0.9060   | {'precision': 0.8744429402883919, 'recall': 0.8697607687801228, 'f1-score': 0.8720721303419663, 'support': 29705.0} | {'precision': 0.9056571278963901, 'recall': 0.9060090893788925, 'f1-score': 0.9058181633386757, 'support': 29705.0} |
+| 0.0252        | 15.0  | 1215 | 0.5878          | {'precision': 0.7189061267420458, 'recall': 0.6559500959692899, 'f1-score': 0.6859867017940033, 'support': 4168.0} | {'precision': 0.9410912602607436, 'recall': 0.9056691449814126, 'f1-score': 0.9230404925408477, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.89272306094736, 'recall': 0.9257019796239543, 'f1-score': 0.9089134677944047, 'support': 12073.0}   | 0.9147   | {'precision': 0.8881801119875374, 'recall': 0.8718303051436642, 'f1-score': 0.8794851655323139, 'support': 29705.0} | {'precision': 0.9126906124611831, 'recall': 0.9146944958761152, 'f1-score': 0.9133441511431463, 'support': 29705.0} |
+| 0.0252        | 16.0  | 1296 | 0.5438          | {'precision': 0.6844300278035218, 'recall': 0.7087332053742802, 'f1-score': 0.6963696369636965, 'support': 4168.0} | {'precision': 0.9468033186920449, 'recall': 0.9014869888475836, 'f1-score': 0.9235896215186861, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9065513801130695, 'recall': 0.9031723680940943, 'f1-score': 0.9048587195552051, 'support': 12073.0} | 0.9126   | {'precision': 0.884446181652159, 'recall': 0.8783481405789896, 'f1-score': 0.881204494509397, 'support': 29705.0}   | {'precision': 0.9138872213369954, 'recall': 0.9126409695337485, 'f1-score': 0.913192823886985, 'support': 29705.0}  |
+| 0.0252        | 17.0  | 1377 | 0.6229          | {'precision': 0.7666776207689779, 'recall': 0.5597408829174664, 'f1-score': 0.647066981001248, 'support': 4168.0}  | {'precision': 0.8876889848812095, 'recall': 0.9549256505576208, 'f1-score': 0.9200805910006717, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8760165720423507, 'recall': 0.9457467075291974, 'f1-score': 0.9095471382482972, 'support': 12073.0} | 0.9129   | {'precision': 0.8825736959523487, 'recall': 0.8651033102510712, 'f1-score': 0.8691626278387974, 'support': 29705.0} | {'precision': 0.9087011338660376, 'recall': 0.912910284463895, 'f1-score': 0.9079094842894391, 'support': 29705.0}  |
+| 0.0252        | 18.0  | 1458 | 0.5978          | {'precision': 0.6511780104712042, 'recall': 0.7161708253358925, 'f1-score': 0.6821297989031078, 'support': 4168.0} | {'precision': 0.9169724770642201, 'recall': 0.9289033457249071, 'f1-score': 0.922899353647276, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9112487100103199, 'recall': 0.8776608962146939, 'f1-score': 0.8941394877853255, 'support': 12073.0} | 0.9053   | {'precision': 0.8698277009156502, 'recall': 0.8806837668188734, 'f1-score': 0.8747811103601705, 'support': 29705.0} | {'precision': 0.9089358856298488, 'recall': 0.9053021376872581, 'f1-score': 0.9067713337488226, 'support': 29705.0} |
+| 0.0101        | 19.0  | 1539 | 0.6089          | {'precision': 0.711257519335434, 'recall': 0.5957293666026872, 'f1-score': 0.6483875179527353, 'support': 4168.0}  | {'precision': 0.9259431765253843, 'recall': 0.9237918215613383, 'f1-score': 0.9248662479646429, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8779302234417875, 'recall': 0.92752422761534, 'f1-score': 0.9020460770098276, 'support': 12073.0}   | 0.9083   | {'precision': 0.8787827298256514, 'recall': 0.8617613539448413, 'f1-score': 0.8688249607318015, 'support': 29705.0} | {'precision': 0.9045077476547858, 'recall': 0.9082982662851372, 'f1-score': 0.9054096491562553, 'support': 29705.0} |
+| 0.0101        | 20.0  | 1620 | 0.6036          | {'precision': 0.66363819907127, 'recall': 0.7886276391554703, 'f1-score': 0.7207543032562219, 'support': 4168.0}   | {'precision': 0.9459078080903104, 'recall': 0.9344795539033457, 'f1-score': 0.9401589527816735, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9299982322785929, 'recall': 0.8715315166073055, 'f1-score': 0.8998161371702227, 'support': 12073.0} | 0.9134   | {'precision': 0.8848860598600434, 'recall': 0.8986596774165303, 'f1-score': 0.8901823483020296, 'support': 29705.0} | {'precision': 0.9204344815700675, 'recall': 0.9133815855916513, 'f1-score': 0.9157652323317351, 'support': 29705.0} |
+| 0.0101        | 21.0  | 1701 | 0.6373          | {'precision': 0.7248196633716271, 'recall': 0.650911708253359, 'f1-score': 0.6858804196688157, 'support': 4168.0}  | {'precision': 0.9418113561708118, 'recall': 0.9326208178438662, 'f1-score': 0.9371935559187485, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8915248821790878, 'recall': 0.9244595378116458, 'f1-score': 0.907693558880937, 'support': 12073.0}  | 0.9154   | {'precision': 0.8895389754303817, 'recall': 0.8769980159772177, 'f1-score': 0.8826918836171254, 'support': 29705.0} | {'precision': 0.9130855511853444, 'recall': 0.9154351119340178, 'f1-score': 0.913858759733591, 'support': 29705.0}  |
+| 0.0101        | 22.0  | 1782 | 0.6425          | {'precision': 0.6827107279693486, 'recall': 0.684021113243762, 'f1-score': 0.6833652924256951, 'support': 4168.0}  | {'precision': 0.8973136915077989, 'recall': 0.962360594795539, 'f1-score': 0.9286995515695068, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9070372858582466, 'recall': 0.8946409343162428, 'f1-score': 0.9007964638672282, 'support': 12073.0} | 0.9101   | {'precision': 0.8717433278630627, 'recall': 0.8852556605888859, 'f1-score': 0.8782042772418507, 'support': 29705.0} | {'precision': 0.910224494827858, 'recall': 0.9101161420636257, 'f1-score': 0.9100704832242509, 'support': 29705.0}  |
+| 0.0101        | 23.0  | 1863 | 0.6442          | {'precision': 0.6941337594156586, 'recall': 0.7296065259117083, 'f1-score': 0.7114282372207277, 'support': 4168.0} | {'precision': 0.918018018018018, 'recall': 0.9470260223048327, 'f1-score': 0.9322964318389753, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9177408412483039, 'recall': 0.8963803528534747, 'f1-score': 0.9069348418185628, 'support': 12073.0} | 0.9161   | {'precision': 0.8824731546704951, 'recall': 0.893253225267504, 'f1-score': 0.8876648777195664, 'support': 29705.0}  | {'precision': 0.917711141572463, 'recall': 0.9161083992593839, 'f1-score': 0.9167803117094421, 'support': 29705.0}  |
+| 0.0101        | 24.0  | 1944 | 0.6410          | {'precision': 0.6809843400447427, 'recall': 0.7303262955854126, 'f1-score': 0.70479277610558, 'support': 4168.0}   | {'precision': 0.915985467756585, 'recall': 0.9372676579925651, 'f1-score': 0.9265043638033992, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.917754457810767, 'recall': 0.8909964383334714, 'f1-score': 0.904177523745482, 'support': 12073.0}   | 0.9133   | {'precision': 0.8786810664030237, 'recall': 0.8896475979778622, 'f1-score': 0.8838686659136152, 'support': 29705.0} | {'precision': 0.9157243906772613, 'recall': 0.9133142568591146, 'f1-score': 0.9143090027231838, 'support': 29705.0} |
+| 0.0041        | 25.0  | 2025 | 0.6537          | {'precision': 0.761817627325404, 'recall': 0.5993282149712092, 'f1-score': 0.6708741775211494, 'support': 4168.0}  | {'precision': 0.9236430542778289, 'recall': 0.9330855018587361, 'f1-score': 0.9283402681460935, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.881839258114374, 'recall': 0.94516690135012, 'f1-score': 0.9124055491144605, 'support': 12073.0}    | 0.9166   | {'precision': 0.8918249849294018, 'recall': 0.8693951545450163, 'f1-score': 0.8779049986954259, 'support': 29705.0} | {'precision': 0.9130241066053866, 'recall': 0.9166470291196768, 'f1-score': 0.9130268986169812, 'support': 29705.0} |
+| 0.0041        | 26.0  | 2106 | 0.6640          | {'precision': 0.682358215646716, 'recall': 0.7303262955854126, 'f1-score': 0.7055278711322285, 'support': 4168.0}  | {'precision': 0.9260808926080892, 'recall': 0.9256505576208178, 'f1-score': 0.9258656751103881, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9157894736842105, 'recall': 0.8935641514122422, 'f1-score': 0.9045403093950447, 'support': 12073.0} | 0.9135   | {'precision': 0.8810350470139681, 'recall': 0.8873852511546182, 'f1-score': 0.8839724141856584, 'support': 29705.0} | {'precision': 0.9158162439956733, 'recall': 0.9135162430567244, 'f1-score': 0.9144964914035518, 'support': 29705.0} |
+| 0.0041        | 27.0  | 2187 | 0.6806          | {'precision': 0.7442748091603053, 'recall': 0.6082053742802304, 'f1-score': 0.6693952997095327, 'support': 4168.0} | {'precision': 0.9292604501607717, 'recall': 0.9400557620817844, 'f1-score': 0.9346269346269347, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8811085089773615, 'recall': 0.9348960490350369, 'f1-score': 0.9072057227826226, 'support': 12073.0} | 0.9142   | {'precision': 0.8886609420746096, 'recall': 0.8707892963492629, 'f1-score': 0.8778069892797724, 'support': 29705.0} | {'precision': 0.9106725777549173, 'recall': 0.9142231947483589, 'f1-score': 0.9111614699094798, 'support': 29705.0} |
+| 0.0041        | 28.0  | 2268 | 0.6814          | {'precision': 0.6839739267251068, 'recall': 0.7300863723608445, 'f1-score': 0.7062782871068818, 'support': 4168.0} | {'precision': 0.9005305039787799, 'recall': 0.9465613382899628, 'f1-score': 0.9229723606705936, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9208183530217429, 'recall': 0.8909964383334714, 'f1-score': 0.9056619659019154, 'support': 12073.0} | 0.9140   | {'precision': 0.8763306959314074, 'recall': 0.8919110372460697, 'f1-score': 0.8837281534198478, 'support': 29705.0} | {'precision': 0.9162694814739634, 'recall': 0.9139538798182124, 'f1-score': 0.914864882516695, 'support': 29705.0}  |
+| 0.0041        | 29.0  | 2349 | 0.7109          | {'precision': 0.7038007863695938, 'recall': 0.644193857965451, 'f1-score': 0.6726794438181135, 'support': 4168.0}  | {'precision': 0.9101876675603218, 'recall': 0.9465613382899628, 'f1-score': 0.9280182232346242, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8940756949509685, 'recall': 0.9137745382257931, 'f1-score': 0.9038177945272816, 'support': 12073.0} | 0.9112   | {'precision': 0.8769939387494352, 'recall': 0.8761324336203018, 'f1-score': 0.8761178156712479, 'support': 29705.0} | {'precision': 0.9088483922476083, 'recall': 0.9111597374179431, 'f1-score': 0.9097497186891812, 'support': 29705.0} |
+| 0.0041        | 30.0  | 2430 | 0.6746          | {'precision': 0.7230121116377041, 'recall': 0.6588291746641075, 'f1-score': 0.6894300778307808, 'support': 4168.0} | {'precision': 0.9276887871853547, 'recall': 0.9419144981412639, 'f1-score': 0.934747521328107, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8963738920225625, 'recall': 0.9213948480079516, 'f1-score': 0.9087121676265164, 'support': 12073.0} | 0.9160   | {'precision': 0.8867686977114053, 'recall': 0.8805346302033308, 'f1-score': 0.883222441696351, 'support': 29705.0}  | {'precision': 0.9137795909684305, 'recall': 0.9159737417943107, 'f1-score': 0.9145936115149541, 'support': 29705.0} |
+| 0.0026        | 31.0  | 2511 | 0.6795          | {'precision': 0.71953166577967, 'recall': 0.6487523992322457, 'f1-score': 0.6823113802674742, 'support': 4168.0}   | {'precision': 0.9182389937106918, 'recall': 0.949814126394052, 'f1-score': 0.9337597076290544, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8948343943911677, 'recall': 0.9197382589248737, 'f1-score': 0.9071154317457725, 'support': 12073.0} | 0.9145   | {'precision': 0.8831512634703823, 'recall': 0.8795761961377929, 'f1-score': 0.8807966299105753, 'support': 29705.0} | {'precision': 0.9119809439797892, 'recall': 0.914458845312237, 'f1-score': 0.9128742410785817, 'support': 29705.0}  |
+| 0.0026        | 32.0  | 2592 | 0.7193          | {'precision': 0.7251544076361595, 'recall': 0.619721689059501, 'f1-score': 0.6683053040103493, 'support': 4168.0}  | {'precision': 0.9136021267168808, 'recall': 0.95817843866171, 'f1-score': 0.9353594919482876, 'support': 2152.0}   | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.886909495784953, 'recall': 0.9237140727242608, 'f1-score': 0.904937720615085, 'support': 12073.0}   | 0.9126   | {'precision': 0.8814165075344984, 'recall': 0.875403550111368, 'f1-score': 0.8771506291434306, 'support': 29705.0}  | {'precision': 0.9092130513494017, 'recall': 0.9126073051674802, 'f1-score': 0.9101398160166225, 'support': 29705.0} |
+| 0.0026        | 33.0  | 2673 | 0.6994          | {'precision': 0.6801324503311258, 'recall': 0.7392034548944337, 'f1-score': 0.7084387215451827, 'support': 4168.0} | {'precision': 0.9304029304029304, 'recall': 0.9442379182156134, 'f1-score': 0.937269372693727, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9178868053771727, 'recall': 0.8879317485297772, 'f1-score': 0.9026608285618052, 'support': 12073.0} | 0.9138   | {'precision': 0.8821055465278073, 'recall': 0.8928432804099561, 'f1-score': 0.8870922307001787, 'support': 29705.0} | {'precision': 0.9167031328236271, 'recall': 0.9138192223531392, 'f1-score': 0.9149840250686382, 'support': 29705.0} |
+| 0.0026        | 34.0  | 2754 | 0.7248          | {'precision': 0.6961510877360746, 'recall': 0.6986564299424184, 'f1-score': 0.6974015088013411, 'support': 4168.0} | {'precision': 0.92686230248307, 'recall': 0.953996282527881, 'f1-score': 0.9402335699564919, 'support': 2152.0}    | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9066277615673197, 'recall': 0.9007703139236313, 'f1-score': 0.9036895462855244, 'support': 12073.0} | 0.9141   | {'precision': 0.882410287946616, 'recall': 0.8883557565984826, 'f1-score': 0.8853311562608394, 'support': 29705.0}  | {'precision': 0.9141182418458097, 'recall': 0.9140548729170174, 'f1-score': 0.9140682047983671, 'support': 29705.0} |
+| 0.0026        | 35.0  | 2835 | 0.7356          | {'precision': 0.7119196988707653, 'recall': 0.680662188099808, 'f1-score': 0.6959401447320005, 'support': 4168.0}  | {'precision': 0.9223867205024675, 'recall': 0.9553903345724907, 'f1-score': 0.9385984934946359, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9029397273772376, 'recall': 0.9107926778762528, 'f1-score': 0.9068492020947589, 'support': 12073.0} | 0.9157   | {'precision': 0.8842894382168318, 'recall': 0.8867113001371378, 'f1-score': 0.885335910356592, 'support': 29705.0}  | {'precision': 0.914473958742095, 'recall': 0.9157044268641643, 'f1-score': 0.9150120491578154, 'support': 29705.0}  |
+| 0.0026        | 36.0  | 2916 | 0.7340          | {'precision': 0.6965634901291737, 'recall': 0.685700575815739, 'f1-score': 0.6910893483254744, 'support': 4168.0}  | {'precision': 0.8989943156974202, 'recall': 0.9553903345724907, 'f1-score': 0.9263347600810993, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9079396817462301, 'recall': 0.9026753913691709, 'f1-score': 0.9052998837016115, 'support': 12073.0} | 0.9131   | {'precision': 0.8758743718932059, 'recall': 0.8859415754393501, 'f1-score': 0.8806809980270462, 'support': 29705.0} | {'precision': 0.9126903946124048, 'recall': 0.9131122706615048, 'f1-score': 0.912830106158716, 'support': 29705.0}  |
+| 0.0026        | 37.0  | 2997 | 0.7739          | {'precision': 0.6693262411347518, 'recall': 0.7245681381957774, 'f1-score': 0.6958525345622121, 'support': 4168.0} | {'precision': 0.9029424681598595, 'recall': 0.9553903345724907, 'f1-score': 0.9284262813276133, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.917873147190624, 'recall': 0.8822165161931583, 'f1-score': 0.8996916839126579, 'support': 12073.0}  | 0.9103   | {'precision': 0.8725354641213088, 'recall': 0.8905437472403566, 'f1-score': 0.8809926249506208, 'support': 29705.0} | {'precision': 0.9131919363932695, 'recall': 0.9102507995286989, 'f1-score': 0.9113706251927232, 'support': 29705.0} |
+| 0.0015        | 38.0  | 3078 | 0.7573          | {'precision': 0.6993977481015973, 'recall': 0.6408349328214972, 'f1-score': 0.6688368598973332, 'support': 4168.0} | {'precision': 0.9250814332247557, 'recall': 0.9237918215613383, 'f1-score': 0.9244361776331085, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8903822937625755, 'recall': 0.9163422513045639, 'f1-score': 0.9031757694505674, 'support': 12073.0} | 0.9101   | {'precision': 0.8787153687722321, 'recall': 0.8702422514218499, 'f1-score': 0.8741122017452523, 'support': 29705.0} | {'precision': 0.9078421306508232, 'recall': 0.9100824776973574, 'f1-score': 0.9087069433056804, 'support': 29705.0} |
+| 0.0015        | 39.0  | 3159 | 0.7572          | {'precision': 0.7304557802595835, 'recall': 0.5806142034548945, 'f1-score': 0.6469723299024195, 'support': 4168.0} | {'precision': 0.9357581483230987, 'recall': 0.9205390334572491, 'f1-score': 0.9280862028578122, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8742575021214225, 'recall': 0.9387062039261161, 'f1-score': 0.9053363157053842, 'support': 12073.0} | 0.9105   | {'precision': 0.8851178576760261, 'recall': 0.859964860209565, 'f1-score': 0.870098712116404, 'support': 29705.0}   | {'precision': 0.9064198636736301, 'recall': 0.910486450092577, 'f1-score': 0.9067816030666352, 'support': 29705.0}  |
+| 0.0015        | 40.0  | 3240 | 0.7419          | {'precision': 0.7146529562982005, 'recall': 0.6669865642994242, 'f1-score': 0.6899975179945396, 'support': 4168.0} | {'precision': 0.9298978644382544, 'recall': 0.9307620817843866, 'f1-score': 0.9303297724105899, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8984533160579804, 'recall': 0.9189927938374887, 'f1-score': 0.9086069936942102, 'support': 12073.0} | 0.9153   | {'precision': 0.8857510341986088, 'recall': 0.8791853599803248, 'f1-score': 0.8822335710248349, 'support': 29705.0} | {'precision': 0.913611870422152, 'recall': 0.9153341188352129, 'f1-score': 0.9143104379767389, 'support': 29705.0}  |
+| 0.0015        | 41.0  | 3321 | 0.7466          | {'precision': 0.6777356808558057, 'recall': 0.7296065259117083, 'f1-score': 0.7027151935297515, 'support': 4168.0} | {'precision': 0.925756186984418, 'recall': 0.9386617100371747, 'f1-score': 0.9321642824180896, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9155578300921188, 'recall': 0.8890913608879317, 'f1-score': 0.902130520653864, 'support': 12073.0}  | 0.9125   | {'precision': 0.8797624244830856, 'recall': 0.8893398992092036, 'f1-score': 0.8842524991504263, 'support': 29705.0} | {'precision': 0.9150836328867065, 'recall': 0.9125399764349437, 'f1-score': 0.9135955643241823, 'support': 29705.0} |
+| 0.0015        | 42.0  | 3402 | 0.7536          | {'precision': 0.6951059931954986, 'recall': 0.6372360844529751, 'f1-score': 0.6649142571035175, 'support': 4168.0} | {'precision': 0.9253592953175707, 'recall': 0.9275092936802974, 'f1-score': 0.9264330471106985, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8890052356020942, 'recall': 0.9141886854965626, 'f1-score': 0.9014211042143091, 'support': 12073.0} | 0.9090   | {'precision': 0.8773676310287909, 'recall': 0.8697335159074588, 'f1-score': 0.8731921021071313, 'support': 29705.0} | {'precision': 0.9067003936235091, 'recall': 0.9089715536105033, 'f1-score': 0.9075880670651082, 'support': 29705.0} |
+| 0.0015        | 43.0  | 3483 | 0.7570          | {'precision': 0.6914354644149577, 'recall': 0.6876199616122841, 'f1-score': 0.6895224347407675, 'support': 4168.0} | {'precision': 0.9220369535826949, 'recall': 0.9507434944237918, 'f1-score': 0.9361702127659575, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9040571998669771, 'recall': 0.9006874844694773, 'f1-score': 0.9023691962989088, 'support': 12073.0} | 0.9122   | {'precision': 0.8793603059953716, 'recall': 0.8847627351263884, 'f1-score': 0.8820044112276516, 'support': 29705.0} | {'precision': 0.9120285878532032, 'recall': 0.9122369971385289, 'f1-score': 0.9121148336942613, 'support': 29705.0} |
+| 0.0013        | 44.0  | 3564 | 0.7517          | {'precision': 0.6876495931067497, 'recall': 0.689299424184261, 'f1-score': 0.6884735202492213, 'support': 4168.0}  | {'precision': 0.9240969364426155, 'recall': 0.9391263940520446, 'f1-score': 0.9315510486287162, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9038829300740001, 'recall': 0.9004389961070156, 'f1-score': 0.9021576763485477, 'support': 12073.0} | 0.9115   | {'precision': 0.8788852664350555, 'recall': 0.8822162035858303, 'f1-score': 0.8805345115828644, 'support': 29705.0} | {'precision': 0.9115757890749278, 'recall': 0.9115300454468944, 'f1-score': 0.9115470505875514, 'support': 29705.0} |
+| 0.0013        | 45.0  | 3645 | 0.7445          | {'precision': 0.713818479149632, 'recall': 0.628358925143954, 'f1-score': 0.6683679979584024, 'support': 4168.0}   | {'precision': 0.9268518518518518, 'recall': 0.9302973977695167, 'f1-score': 0.9285714285714285, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8871288704927167, 'recall': 0.9231342665451835, 'f1-score': 0.9047735021919143, 'support': 12073.0} | 0.9116   | {'precision': 0.8819277019027643, 'recall': 0.8704476473646635, 'f1-score': 0.8754171824566794, 'support': 29705.0} | {'precision': 0.9086378572002458, 'recall': 0.9115637098131628, 'f1-score': 0.9095732719689872, 'support': 29705.0} |
+| 0.0013        | 46.0  | 3726 | 0.7457          | {'precision': 0.7061894108873975, 'recall': 0.6816218809980806, 'f1-score': 0.693688194359663, 'support': 4168.0}  | {'precision': 0.9259936043855642, 'recall': 0.9419144981412639, 'f1-score': 0.9338862013360976, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9022167487684729, 'recall': 0.9102128716971755, 'f1-score': 0.9061971714839401, 'support': 12073.0} | 0.9146   | {'precision': 0.8835778425395728, 'recall': 0.88343731270913, 'f1-score': 0.8834318420711683, 'support': 29705.0}   | {'precision': 0.9136373875607494, 'recall': 0.9146271671435785, 'f1-score': 0.9140896809557788, 'support': 29705.0} |
+| 0.0013        | 47.0  | 3807 | 0.7466          | {'precision': 0.717948717948718, 'recall': 0.6583493282149712, 'f1-score': 0.6868585732165207, 'support': 4168.0}  | {'precision': 0.9279816513761467, 'recall': 0.9400557620817844, 'f1-score': 0.9339796860572483, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8955609362389023, 'recall': 0.9190756232916425, 'f1-score': 0.9071659240485632, 'support': 12073.0} | 0.9148   | {'precision': 0.885350727920156, 'recall': 0.8793701783970995, 'f1-score': 0.8819899961068263, 'support': 29705.0}  | {'precision': 0.9127262764442979, 'recall': 0.9148291533411883, 'f1-score': 0.913531898357159, 'support': 29705.0}  |
+| 0.0013        | 48.0  | 3888 | 0.7467          | {'precision': 0.7121250315099571, 'recall': 0.6777831094049904, 'f1-score': 0.6945298094652735, 'support': 4168.0} | {'precision': 0.9271978021978022, 'recall': 0.9409851301115242, 'f1-score': 0.9340405904059041, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9010701740053917, 'recall': 0.9136088793174852, 'f1-score': 0.9072962079460393, 'support': 12073.0} | 0.9154   | {'precision': 0.8850761534575019, 'recall': 0.8830942797085, 'f1-score': 0.8839556022305474, 'support': 29705.0}    | {'precision': 0.914091469477332, 'recall': 0.9154014475677495, 'f1-score': 0.9146656366617318, 'support': 29705.0}  |
+| 0.0013        | 49.0  | 3969 | 0.7450          | {'precision': 0.695160125210691, 'recall': 0.692658349328215, 'f1-score': 0.6939069823338541, 'support': 4168.0}   | {'precision': 0.9298569450853715, 'recall': 0.9363382899628253, 'f1-score': 0.9330863625839315, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9042412193505633, 'recall': 0.904166321543941, 'f1-score': 0.9042037688962519, 'support': 12073.0}  | 0.9133   | {'precision': 0.8822924739408706, 'recall': 0.8832907402087453, 'f1-score': 0.8827882287297525, 'support': 29705.0} | {'precision': 0.9131925223805796, 'recall': 0.9133142568591146, 'f1-score': 0.9132522564764188, 'support': 29705.0} |
+| 0.0007        | 50.0  | 4050 | 0.7436          | {'precision': 0.700735294117647, 'recall': 0.6859404990403071, 'f1-score': 0.6932589718719689, 'support': 4168.0}  | {'precision': 0.9293954776188279, 'recall': 0.9358736059479554, 'f1-score': 0.932623292428803, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9025936599423631, 'recall': 0.9079764764350203, 'f1-score': 0.9052770666446445, 'support': 12073.0} | 0.9139   | {'precision': 0.8831590094489237, 'recall': 0.8824476453558208, 'f1-score': 0.8827787830125972, 'support': 29705.0} | {'precision': 0.9132717427569804, 'recall': 0.9138865510856758, 'f1-score': 0.9135640049745629, 'support': 29705.0} |
 
 
 ### Framework versions

meta_data/README_s42_e50.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[60%:80%]
+      split: train[80%:100%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9235019241341397
+      value: 0.9138865510856758
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +32,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7415
-- Claim: {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}
-- Majorclaim: {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0}
-- O: {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}
-- Premise: {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0}
-- Accuracy: 0.9235
-- Macro avg: {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}
-- Weighted avg: {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0}
+- Loss: 0.7436
+- Claim: {'precision': 0.700735294117647, 'recall': 0.6859404990403071, 'f1-score': 0.6932589718719689, 'support': 4168.0}
+- Majorclaim: {'precision': 0.9293954776188279, 'recall': 0.9358736059479554, 'f1-score': 0.932623292428803, 'support': 2152.0}
+- O: {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}
+- Premise: {'precision': 0.9025936599423631, 'recall': 0.9079764764350203, 'f1-score': 0.9052770666446445, 'support': 12073.0}
+- Accuracy: 0.9139
+- Macro avg: {'precision': 0.8831590094489237, 'recall': 0.8824476453558208, 'f1-score': 0.8827787830125972, 'support': 29705.0}
+- Weighted avg: {'precision': 0.9132717427569804, 'recall': 0.9138865510856758, 'f1-score': 0.9135640049745629, 'support': 29705.0}
 
 ## Model description
 
@@ -70,56 +70,56 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.2860          | {'precision': 0.6267132491265789, 'recall': 0.4720647773279352, 'f1-score': 0.5385059461955894, 'support': 4940.0} | {'precision': 0.9588039867109635, 'recall': 0.6595063985374772, 'f1-score': 0.7814784727863526, 'support': 2188.0} | {'precision': 0.9996969237763298, 'recall': 0.9880925634688834, 'f1-score': 0.9938608715302625, 'support': 13353.0} | {'precision': 0.8455112497215416, 'recall': 0.954902824076986, 'f1-score': 0.8968837690149166, 'support': 15899.0}  | 0.8838   | {'precision': 0.8576813523338533, 'recall': 0.7686416408528204, 'f1-score': 0.8026822648817803, 'support': 36380.0} | {'precision': 0.8792073379911217, 'recall': 0.8837548103353491, 'f1-score': 0.8768739289107891, 'support': 36380.0} |
-| No log        | 2.0   | 162  | 0.2489          | {'precision': 0.6453172205438067, 'recall': 0.648582995951417, 'f1-score': 0.6469459868753155, 'support': 4940.0}  | {'precision': 0.9669226225634967, 'recall': 0.7481718464351006, 'f1-score': 0.8435970110796187, 'support': 2188.0} | {'precision': 0.9983541557567143, 'recall': 0.9994008836965476, 'f1-score': 0.998877245508982, 'support': 13353.0}  | {'precision': 0.8972179761540813, 'recall': 0.922951129001824, 'f1-score': 0.9099026477336144, 'support': 15899.0}  | 0.9032   | {'precision': 0.8769529937545246, 'recall': 0.8297767137712222, 'f1-score': 0.8498307227993828, 'support': 36380.0} | {'precision': 0.9043261520711511, 'recall': 0.903243540406817, 'f1-score': 0.9028656814459712, 'support': 36380.0}  |
-| No log        | 3.0   | 243  | 0.2430          | {'precision': 0.6698958142935478, 'recall': 0.7419028340080972, 'f1-score': 0.7040630102775911, 'support': 4940.0} | {'precision': 0.8392204628501827, 'recall': 0.9446983546617916, 'f1-score': 0.8888411094388303, 'support': 2188.0} | {'precision': 0.9988769092542678, 'recall': 0.9991013255448213, 'f1-score': 0.998989104796136, 'support': 13353.0}  | {'precision': 0.9390987408880053, 'recall': 0.8913139191144097, 'f1-score': 0.914582593823615, 'support': 15899.0}  | 0.9138   | {'precision': 0.8617729818215009, 'recall': 0.8942541083322799, 'f1-score': 0.8766189545840432, 'support': 36380.0} | {'precision': 0.9184781183611038, 'recall': 0.9137987905442551, 'f1-score': 0.9154289662937856, 'support': 36380.0} |
-| No log        | 4.0   | 324  | 0.2398          | {'precision': 0.6754352763058289, 'recall': 0.7224696356275304, 'f1-score': 0.6981611893583725, 'support': 4940.0} | {'precision': 0.8836187966622749, 'recall': 0.9195612431444241, 'f1-score': 0.901231802911534, 'support': 2188.0}  | {'precision': 0.9998499399759904, 'recall': 0.9979779824758481, 'f1-score': 0.9989130842172332, 'support': 13353.0} | {'precision': 0.9266670970240785, 'recall': 0.9028869740235235, 'f1-score': 0.9146224912392481, 'support': 15899.0} | 0.9143   | {'precision': 0.8713927774920431, 'recall': 0.8857239588178316, 'f1-score': 0.8782321419315969, 'support': 36380.0} | {'precision': 0.9168247558035478, 'recall': 0.9142935678944475, 'f1-score': 0.9153623106642749, 'support': 36380.0} |
-| No log        | 5.0   | 405  | 0.2933          | {'precision': 0.6450999048525214, 'recall': 0.6862348178137652, 'f1-score': 0.6650318783717509, 'support': 4940.0} | {'precision': 0.8916702632714717, 'recall': 0.9442413162705667, 'f1-score': 0.9172031076581575, 'support': 2188.0} | {'precision': 0.9992495872730002, 'recall': 0.9972290870965326, 'f1-score': 0.9982383147794145, 'support': 13353.0} | {'precision': 0.9119622787753521, 'recall': 0.8880432731618341, 'f1-score': 0.8998438545616774, 'support': 15899.0} | 0.9041   | {'precision': 0.8619955085430864, 'recall': 0.8789371235856747, 'f1-score': 0.87007928884275, 'support': 36380.0}   | {'precision': 0.9065430476942037, 'recall': 0.9040956569543706, 'f1-score': 0.9051179642561333, 'support': 36380.0} |
-| No log        | 6.0   | 486  | 0.3605          | {'precision': 0.5740163325909429, 'recall': 0.7825910931174089, 'f1-score': 0.6622698072805139, 'support': 4940.0} | {'precision': 0.8842767295597485, 'recall': 0.9638939670932358, 'f1-score': 0.9223704351629127, 'support': 2188.0} | {'precision': 0.9993994444861497, 'recall': 0.9970044184827379, 'f1-score': 0.9982004948639124, 'support': 13353.0} | {'precision': 0.9398091685199799, 'recall': 0.8239511918988616, 'f1-score': 0.8780749379985253, 'support': 15899.0} | 0.8903   | {'precision': 0.8493754187892053, 'recall': 0.8918601676480611, 'f1-score': 0.865228918826466, 'support': 36380.0}  | {'precision': 0.9086708334194257, 'recall': 0.8902693787795491, 'f1-score': 0.8955262233990811, 'support': 36380.0} |
-| 0.2104        | 7.0   | 567  | 0.3641          | {'precision': 0.7110973341599504, 'recall': 0.6965587044534413, 'f1-score': 0.7037529399734124, 'support': 4940.0} | {'precision': 0.8959687906371911, 'recall': 0.9446983546617916, 'f1-score': 0.9196885428253615, 'support': 2188.0} | {'precision': 0.9996248780853777, 'recall': 0.997828203399985, 'f1-score': 0.9987257327036954, 'support': 13353.0}  | {'precision': 0.9187048098082364, 'recall': 0.9190515126737531, 'f1-score': 0.9188781285372909, 'support': 15899.0} | 0.9193   | {'precision': 0.8813489531726889, 'recall': 0.8895341937972427, 'f1-score': 0.8852613360099401, 'support': 36380.0} | {'precision': 0.9188476996393494, 'recall': 0.9192963166575041, 'f1-score': 0.9190227083446231, 'support': 36380.0} |
-| 0.2104        | 8.0   | 648  | 0.3522          | {'precision': 0.6562390158172232, 'recall': 0.7558704453441295, 'f1-score': 0.7025399811853246, 'support': 4940.0} | {'precision': 0.8848641655886158, 'recall': 0.9378427787934186, 'f1-score': 0.9105835367206567, 'support': 2188.0} | {'precision': 0.9991005172026085, 'recall': 0.9982026510896428, 'f1-score': 0.9986513823331086, 'support': 13353.0} | {'precision': 0.9345974717232203, 'recall': 0.8835146864582678, 'f1-score': 0.9083384525849526, 'support': 15899.0} | 0.9115   | {'precision': 0.8687002925829169, 'recall': 0.8938576404213647, 'f1-score': 0.8800283382060107, 'support': 36380.0} | {'precision': 0.9174837257168467, 'recall': 0.911544804837823, 'f1-score': 0.9136769997620249, 'support': 36380.0}  |
-| 0.2104        | 9.0   | 729  | 0.4436          | {'precision': 0.6275594908688434, 'recall': 0.6886639676113361, 'f1-score': 0.6566933693658913, 'support': 4940.0} | {'precision': 0.7706131078224101, 'recall': 0.9995429616087751, 'f1-score': 0.8702745722244328, 'support': 2188.0} | {'precision': 0.9983537862915295, 'recall': 0.9991762150827529, 'f1-score': 0.9987648313807688, 'support': 13353.0} | {'precision': 0.9350138917124077, 'recall': 0.8678533241084345, 'f1-score': 0.9001826722338205, 'support': 15899.0} | 0.8996   | {'precision': 0.8328850691737977, 'recall': 0.8888091171028246, 'f1-score': 0.8564788613012284, 'support': 36380.0} | {'precision': 0.90662587513727, 'recall': 0.8996426608026388, 'f1-score': 0.9015045934020747, 'support': 36380.0}   |
-| 0.2104        | 10.0  | 810  | 0.4409          | {'precision': 0.7145572025845686, 'recall': 0.7611336032388664, 'f1-score': 0.7371103705155853, 'support': 4940.0} | {'precision': 0.9194187582562747, 'recall': 0.9542961608775137, 'f1-score': 0.9365328549002018, 'support': 2188.0} | {'precision': 0.9993257416841475, 'recall': 0.9989515464689583, 'f1-score': 0.9991386090408599, 'support': 13353.0} | {'precision': 0.9344473837021743, 'recall': 0.9109377948298635, 'f1-score': 0.9225428371233836, 'support': 15899.0} | 0.9255   | {'precision': 0.8919372715567913, 'recall': 0.9063297763538004, 'f1-score': 0.8988311678950076, 'support': 36380.0} | {'precision': 0.927497977075915, 'recall': 0.9255085211654756, 'f1-score': 0.9263184587909816, 'support': 36380.0}  |
-| 0.2104        | 11.0  | 891  | 0.4955          | {'precision': 0.7086579123080348, 'recall': 0.6445344129554655, 'f1-score': 0.6750768578394996, 'support': 4940.0} | {'precision': 0.8220211161387632, 'recall': 0.9963436928702011, 'f1-score': 0.9008264462809917, 'support': 2188.0} | {'precision': 0.9998499849984999, 'recall': 0.9982775406275743, 'f1-score': 0.9990631440884392, 'support': 13353.0} | {'precision': 0.9167452681883921, 'recall': 0.9169759104346186, 'f1-score': 0.9168605748066159, 'support': 15899.0} | 0.9146   | {'precision': 0.8618185704084225, 'recall': 0.8890328892219649, 'f1-score': 0.8729567557538865, 'support': 36380.0} | {'precision': 0.9132952764575458, 'recall': 0.9145959318306762, 'f1-score': 0.9132365141301059, 'support': 36380.0} |
-| 0.2104        | 12.0  | 972  | 0.5210          | {'precision': 0.6866247209255125, 'recall': 0.6848178137651821, 'f1-score': 0.6857200770244248, 'support': 4940.0} | {'precision': 0.8543537680593518, 'recall': 1.0, 'f1-score': 0.9214571488734471, 'support': 2188.0}                | {'precision': 0.9979811574697174, 'recall': 0.9995506627724107, 'f1-score': 0.9987652935234033, 'support': 13353.0} | {'precision': 0.9239592731022039, 'recall': 0.9018177243851815, 'f1-score': 0.9127542413343095, 'support': 15899.0} | 0.9141   | {'precision': 0.8657297298891964, 'recall': 0.8965465502306935, 'f1-score': 0.8796741901888963, 'support': 36380.0} | {'precision': 0.9147147620844138, 'recall': 0.91412864211105, 'f1-score': 0.9140186385274314, 'support': 36380.0}   |
-| 0.0286        | 13.0  | 1053 | 0.5909          | {'precision': 0.7079991774624718, 'recall': 0.6969635627530364, 'f1-score': 0.7024380291747424, 'support': 4940.0} | {'precision': 0.8643507030603805, 'recall': 0.9552102376599635, 'f1-score': 0.9075119409465915, 'support': 2188.0} | {'precision': 0.9985774183887391, 'recall': 0.9988017673930952, 'f1-score': 0.9986895802912875, 'support': 13353.0} | {'precision': 0.9246014101505431, 'recall': 0.9155292785709793, 'f1-score': 0.9200429808482398, 'support': 15899.0} | 0.9188   | {'precision': 0.8738821772655336, 'recall': 0.8916262115942686, 'f1-score': 0.8821706328152152, 'support': 36380.0} | {'precision': 0.918717904416961, 'recall': 0.9188015393073117, 'f1-score': 0.9186076225687217, 'support': 36380.0}  |
-| 0.0286        | 14.0  | 1134 | 0.5594          | {'precision': 0.7137881581643106, 'recall': 0.7052631578947368, 'f1-score': 0.7095000509113125, 'support': 4940.0} | {'precision': 0.9252767527675276, 'recall': 0.916819012797075, 'f1-score': 0.921028466483012, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.9989515464689583, 'f1-score': 0.9994754982766372, 'support': 13353.0}                | {'precision': 0.9180215107553776, 'recall': 0.9233914082646707, 'f1-score': 0.9206986297074409, 'support': 15899.0} | 0.9211   | {'precision': 0.889271605421804, 'recall': 0.8861062813563602, 'f1-score': 0.8876756613446006, 'support': 36380.0}  | {'precision': 0.9208148168193181, 'recall': 0.9211105002748763, 'f1-score': 0.9209544908843665, 'support': 36380.0} |
-| 0.0286        | 15.0  | 1215 | 0.6214          | {'precision': 0.6282454109475774, 'recall': 0.7690283400809717, 'f1-score': 0.6915445526531356, 'support': 4940.0} | {'precision': 0.9042918454935622, 'recall': 0.9629798903107861, 'f1-score': 0.9327135900841081, 'support': 2188.0} | {'precision': 0.9998501199040767, 'recall': 0.9991762150827529, 'f1-score': 0.9995130539011873, 'support': 13353.0} | {'precision': 0.936421311139914, 'recall': 0.8633876344424177, 'f1-score': 0.8984226716408141, 'support': 15899.0}  | 0.9064   | {'precision': 0.8672021718712826, 'recall': 0.898643019979232, 'f1-score': 0.8805484670698113, 'support': 36380.0}  | {'precision': 0.9159231436204942, 'recall': 0.9064046179219352, 'f1-score': 0.9094977265082566, 'support': 36380.0} |
-| 0.0286        | 16.0  | 1296 | 0.6214          | {'precision': 0.6727738376674547, 'recall': 0.6912955465587044, 'f1-score': 0.6819089456869009, 'support': 4940.0} | {'precision': 0.9244343891402715, 'recall': 0.9337294332723949, 'f1-score': 0.9290586630286495, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9996255523103422, 'f1-score': 0.9998127410958391, 'support': 13353.0}                | {'precision': 0.9131843007748, 'recall': 0.9043965029247123, 'f1-score': 0.9087691578448412, 'support': 15899.0}    | 0.9122   | {'precision': 0.8775981318956315, 'recall': 0.8822617587665385, 'f1-score': 0.8798873769140577, 'support': 36380.0} | {'precision': 0.9130808795913876, 'recall': 0.9121770203408466, 'f1-score': 0.9126011797368843, 'support': 36380.0} |
-| 0.0286        | 17.0  | 1377 | 0.6075          | {'precision': 0.7524590163934426, 'recall': 0.6504048582995952, 'f1-score': 0.6977198697068404, 'support': 4940.0} | {'precision': 0.8998309382924767, 'recall': 0.9730347349177331, 'f1-score': 0.935002195871761, 'support': 2188.0}  | {'precision': 0.9994757732344791, 'recall': 0.9994757732344791, 'f1-score': 0.9994757732344791, 'support': 13353.0} | {'precision': 0.908120309926179, 'recall': 0.9362224039247752, 'f1-score': 0.9219572623103128, 'support': 15899.0}  | 0.9228   | {'precision': 0.8899715094616443, 'recall': 0.8897844425941457, 'f1-score': 0.8885387752808483, 'support': 36380.0} | {'precision': 0.9200160099363349, 'recall': 0.9228422210005498, 'f1-score': 0.9207454500932067, 'support': 36380.0} |
-| 0.0286        | 18.0  | 1458 | 0.6335          | {'precision': 0.7486433152442032, 'recall': 0.6143724696356275, 'f1-score': 0.6748943740271293, 'support': 4940.0} | {'precision': 0.8974247053688346, 'recall': 0.9396709323583181, 'f1-score': 0.9180620674257648, 'support': 2188.0} | {'precision': 0.9998501984870047, 'recall': 0.9997004418482738, 'f1-score': 0.9997753145596164, 'support': 13353.0} | {'precision': 0.898945097099017, 'recall': 0.9433297691678721, 'f1-score': 0.9206027683147655, 'support': 15899.0}  | 0.9191   | {'precision': 0.8862158290497649, 'recall': 0.874268403252523, 'f1-score': 0.878333631081819, 'support': 36380.0}   | {'precision': 0.9154807870211, 'recall': 0.9191313908741067, 'f1-score': 0.9161451676737934, 'support': 36380.0}    |
-| 0.0091        | 19.0  | 1539 | 0.6328          | {'precision': 0.7439243924392439, 'recall': 0.6692307692307692, 'f1-score': 0.7046035805626598, 'support': 4940.0} | {'precision': 0.8727272727272727, 'recall': 0.9872029250457038, 'f1-score': 0.9264422045893201, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9153078306156612, 'recall': 0.9285489653437323, 'f1-score': 0.921880854252529, 'support': 15899.0}  | 0.9225   | {'precision': 0.8829898739455444, 'recall': 0.8958524948309107, 'f1-score': 0.8880349201096995, 'support': 36380.0} | {'precision': 0.9205605544347316, 'recall': 0.9225123694337548, 'f1-score': 0.9210355324440019, 'support': 36380.0} |
-| 0.0091        | 20.0  | 1620 | 0.6888          | {'precision': 0.7153778942769768, 'recall': 0.6629554655870445, 'f1-score': 0.6881697835679765, 'support': 4940.0} | {'precision': 0.8919597989949749, 'recall': 0.973491773308958, 'f1-score': 0.9309440559440559, 'support': 2188.0}  | {'precision': 0.9997753313862053, 'recall': 0.9997753313862053, 'f1-score': 0.9997753313862053, 'support': 13353.0} | {'precision': 0.9115248116555632, 'recall': 0.92081262972514, 'f1-score': 0.9161451814768461, 'support': 15899.0}   | 0.9179   | {'precision': 0.87965945907843, 'recall': 0.8892588000018369, 'f1-score': 0.883758588093771, 'support': 36380.0}    | {'precision': 0.9161052176591827, 'recall': 0.9179494227597581, 'f1-score': 0.916774507023963, 'support': 36380.0}  |
-| 0.0091        | 21.0  | 1701 | 0.7242          | {'precision': 0.7307692307692307, 'recall': 0.573076923076923, 'f1-score': 0.6423871114136601, 'support': 4940.0}  | {'precision': 0.9239130434782609, 'recall': 0.8546617915904936, 'f1-score': 0.8879392212725545, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9970044184827379, 'f1-score': 0.9984999624990625, 'support': 13353.0}                | {'precision': 0.883336245558856, 'recall': 0.9538964714761935, 'f1-score': 0.9172614007499698, 'support': 15899.0}  | 0.9120   | {'precision': 0.8845046299515869, 'recall': 0.844659901156587, 'f1-score': 0.8615219239838117, 'support': 36380.0}  | {'precision': 0.9078802833224489, 'recall': 0.9120395821880154, 'f1-score': 0.9079909938510604, 'support': 36380.0} |
-| 0.0091        | 22.0  | 1782 | 0.7164          | {'precision': 0.7086419753086419, 'recall': 0.6390688259109312, 'f1-score': 0.6720596061734965, 'support': 4940.0} | {'precision': 0.8903625110521662, 'recall': 0.9204753199268738, 'f1-score': 0.9051685393258427, 'support': 2188.0} | {'precision': 0.9995507973347308, 'recall': 0.9998502209241369, 'f1-score': 0.9997004867090977, 'support': 13353.0} | {'precision': 0.9051882742548755, 'recall': 0.9283602742310837, 'f1-score': 0.9166278528178853, 'support': 15899.0} | 0.9148   | {'precision': 0.8759358894876037, 'recall': 0.8719386602482564, 'f1-score': 0.8733891212565805, 'support': 36380.0} | {'precision': 0.9122428450081295, 'recall': 0.9148433205057724, 'f1-score': 0.9132201772820274, 'support': 36380.0} |
-| 0.0091        | 23.0  | 1863 | 0.6954          | {'precision': 0.6750700280112045, 'recall': 0.7317813765182186, 'f1-score': 0.7022826614861584, 'support': 4940.0} | {'precision': 0.8772901576480614, 'recall': 0.9410420475319927, 'f1-score': 0.9080485115766262, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9977533138620535, 'f1-score': 0.9988753936122357, 'support': 13353.0}                | {'precision': 0.9295994789970694, 'recall': 0.8977923139820114, 'f1-score': 0.9134190823574582, 'support': 15899.0} | 0.9145   | {'precision': 0.8704899161640838, 'recall': 0.892092262973569, 'f1-score': 0.8806564122581195, 'support': 36380.0}  | {'precision': 0.9177311412832249, 'recall': 0.9145409565695437, 'f1-score': 0.9157921828580727, 'support': 36380.0} |
-| 0.0091        | 24.0  | 1944 | 0.7690          | {'precision': 0.6463308349311487, 'recall': 0.7506072874493928, 'f1-score': 0.6945771284068559, 'support': 4940.0} | {'precision': 0.8826677645121449, 'recall': 0.979890310786106, 'f1-score': 0.9287416071041802, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9339381720430108, 'recall': 0.8740801308258381, 'f1-score': 0.9030182916923878, 'support': 15899.0} | 0.9094   | {'precision': 0.8657341928715762, 'recall': 0.9007887069601594, 'f1-score': 0.8814062675176844, 'support': 36380.0} | {'precision': 0.9160482240413489, 'recall': 0.9093732820230896, 'f1-score': 0.911596446033489, 'support': 36380.0}  |
-| 0.0045        | 25.0  | 2025 | 0.7267          | {'precision': 0.7481386392811297, 'recall': 0.5898785425101215, 'f1-score': 0.6596491228070176, 'support': 4940.0} | {'precision': 0.9177897574123989, 'recall': 0.9337294332723949, 'f1-score': 0.9256909832351607, 'support': 2188.0} | {'precision': 0.9999251048532055, 'recall': 0.9998502209241369, 'f1-score': 0.9998876614866129, 'support': 13353.0} | {'precision': 0.8901046903649376, 'recall': 0.9465375180828983, 'f1-score': 0.9174541242455649, 'support': 15899.0} | 0.9169   | {'precision': 0.888989547977918, 'recall': 0.867498928697388, 'f1-score': 0.8756704729435891, 'support': 36380.0}   | {'precision': 0.9128010792876335, 'recall': 0.9169048927982408, 'f1-score': 0.9131990545133639, 'support': 36380.0} |
-| 0.0045        | 26.0  | 2106 | 0.6803          | {'precision': 0.6994106090373281, 'recall': 0.7206477732793523, 'f1-score': 0.7098703888334996, 'support': 4940.0} | {'precision': 0.8851976450798991, 'recall': 0.9620658135283364, 'f1-score': 0.9220324134910205, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9991013255448213, 'f1-score': 0.9995504607777028, 'support': 13353.0}                | {'precision': 0.9268511977393873, 'recall': 0.9077300459148374, 'f1-score': 0.9171909755322529, 'support': 15899.0} | 0.9191   | {'precision': 0.8778648629641536, 'recall': 0.8973862395668368, 'f1-score': 0.887161059658619, 'support': 36380.0}  | {'precision': 0.9203108314716255, 'recall': 0.9191313908741067, 'f1-score': 0.9195597378864155, 'support': 36380.0} |
-| 0.0045        | 27.0  | 2187 | 0.6693          | {'precision': 0.7271731990365666, 'recall': 0.6722672064777327, 'f1-score': 0.698643105080467, 'support': 4940.0}  | {'precision': 0.8932754880694144, 'recall': 0.9410420475319927, 'f1-score': 0.9165368350767862, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9983524301655059, 'f1-score': 0.9991755359016639, 'support': 13353.0}                | {'precision': 0.9127155838536193, 'recall': 0.9286747594188314, 'f1-score': 0.9206260132186058, 'support': 15899.0} | 0.9202   | {'precision': 0.8832910677399001, 'recall': 0.8850841108985157, 'f1-score': 0.8837453723193808, 'support': 36380.0} | {'precision': 0.918388879571886, 'recall': 0.9201759208356239, 'f1-score': 0.9190682641369721, 'support': 36380.0}  |
-| 0.0045        | 28.0  | 2268 | 0.6845          | {'precision': 0.7188900747065101, 'recall': 0.6817813765182186, 'f1-score': 0.6998441558441558, 'support': 4940.0} | {'precision': 0.9094219390077378, 'recall': 0.9131627056672761, 'f1-score': 0.9112884834663626, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9139372175097518, 'recall': 0.9284231712686333, 'f1-score': 0.9211232449297972, 'support': 15899.0} | 0.9201   | {'precision': 0.8855435770050709, 'recall': 0.8807107566721517, 'f1-score': 0.8829890646930376, 'support': 36380.0} | {'precision': 0.9187416037176308, 'recall': 0.9200934579439253, 'f1-score': 0.9193256433193232, 'support': 36380.0} |
-| 0.0045        | 29.0  | 2349 | 0.7010          | {'precision': 0.6914387633769322, 'recall': 0.7062753036437247, 'f1-score': 0.6987782896054476, 'support': 4940.0} | {'precision': 0.8771560790912916, 'recall': 0.9529250457038391, 'f1-score': 0.9134720700985761, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9233625712273513, 'recall': 0.907101075539342, 'f1-score': 0.9151595913446284, 'support': 15899.0}  | 0.9162   | {'precision': 0.8729706099840976, 'recall': 0.8912757980700003, 'f1-score': 0.8816932580592669, 'support': 36380.0} | {'precision': 0.9171925615027781, 'recall': 0.916245189664651, 'f1-score': 0.9165821661881187, 'support': 36380.0}  |
-| 0.0045        | 30.0  | 2430 | 0.7106          | {'precision': 0.7097318978256281, 'recall': 0.6805668016194332, 'f1-score': 0.6948434432158727, 'support': 4940.0} | {'precision': 0.8985126859142607, 'recall': 0.9387568555758684, 'f1-score': 0.9181940098345999, 'support': 2188.0} | {'precision': 0.9999250543356066, 'recall': 0.9991762150827529, 'f1-score': 0.9995504944560982, 'support': 13353.0} | {'precision': 0.91476208317722, 'recall': 0.9213787030630858, 'f1-score': 0.9180584714693073, 'support': 15899.0}   | 0.9183   | {'precision': 0.8807329303131789, 'recall': 0.8849696438352851, 'f1-score': 0.8826616047439695, 'support': 36380.0} | {'precision': 0.9172023898575309, 'recall': 0.9182792743265531, 'f1-score': 0.917667523182169, 'support': 36380.0}  |
-| 0.0031        | 31.0  | 2511 | 0.6843          | {'precision': 0.7165338238299611, 'recall': 0.7097165991902834, 'f1-score': 0.7131089189464049, 'support': 4940.0} | {'precision': 0.8918217221981826, 'recall': 0.9419561243144424, 'f1-score': 0.9162036008001779, 'support': 2188.0} | {'precision': 0.9999250374812594, 'recall': 0.9989515464689583, 'f1-score': 0.9994380549207659, 'support': 13353.0} | {'precision': 0.9235918161151806, 'recall': 0.9199320711994465, 'f1-score': 0.9217583110130771, 'support': 15899.0} | 0.9217   | {'precision': 0.882968099906146, 'recall': 0.8926390852932827, 'f1-score': 0.8876272214201064, 'support': 36380.0}  | {'precision': 0.9215824169266671, 'recall': 0.9217152281473338, 'f1-score': 0.9216037183150064, 'support': 36380.0} |
-| 0.0031        | 32.0  | 2592 | 0.7217          | {'precision': 0.720086862106406, 'recall': 0.671255060728745, 'f1-score': 0.6948140387637506, 'support': 4940.0}   | {'precision': 0.8846646732165742, 'recall': 0.946526508226691, 'f1-score': 0.9145506734378449, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9131946600434647, 'recall': 0.9250267312409586, 'f1-score': 0.9190726159230096, 'support': 15899.0} | 0.9187   | {'precision': 0.8794865488416111, 'recall': 0.8852527378215094, 'f1-score': 0.8818844613318033, 'support': 36380.0} | {'precision': 0.9171181227002353, 'recall': 0.918719076415613, 'f1-score': 0.9177224560676552, 'support': 36380.0}  |
-| 0.0031        | 33.0  | 2673 | 0.7048          | {'precision': 0.7463226974428604, 'recall': 0.6676113360323886, 'f1-score': 0.7047761512982157, 'support': 4940.0} | {'precision': 0.8873358746293943, 'recall': 0.9574954296160878, 'f1-score': 0.921081556386019, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9127842655193608, 'recall': 0.9340839046480911, 'f1-score': 0.9233112623954739, 'support': 15899.0} | 0.9229   | {'precision': 0.8866107093979039, 'recall': 0.8893670527310353, 'f1-score': 0.8870767495093961, 'support': 36380.0} | {'precision': 0.9206619586736987, 'recall': 0.922869708631116, 'f1-score': 0.9213341528568705, 'support': 36380.0}  |
-| 0.0031        | 34.0  | 2754 | 0.7385          | {'precision': 0.7408897831433042, 'recall': 0.6708502024291498, 'f1-score': 0.704132582598534, 'support': 4940.0}  | {'precision': 0.8869675242513707, 'recall': 0.9611517367458866, 'f1-score': 0.9225707391971923, 'support': 2188.0} | {'precision': 0.9999249699879952, 'recall': 0.9980528720137797, 'f1-score': 0.9989880439263896, 'support': 13353.0} | {'precision': 0.9134378084896347, 'recall': 0.9311906409208126, 'f1-score': 0.9222287974584982, 'support': 15899.0} | 0.9222   | {'precision': 0.8853050214680762, 'recall': 0.8903113630274071, 'f1-score': 0.8869800407951536, 'support': 36380.0} | {'precision': 0.9201601515452535, 'recall': 0.9221825178669598, 'f1-score': 0.9208082115651994, 'support': 36380.0} |
-| 0.0031        | 35.0  | 2835 | 0.7338          | {'precision': 0.7179064496187925, 'recall': 0.7052631578947368, 'f1-score': 0.7115286429081996, 'support': 4940.0} | {'precision': 0.9028021015761821, 'recall': 0.9424131627056673, 'f1-score': 0.9221824686940967, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9207167557371896, 'recall': 0.9210642178753381, 'f1-score': 0.9208904540309396, 'support': 15899.0} | 0.9216   | {'precision': 0.8853375832932451, 'recall': 0.8918855764672093, 'f1-score': 0.8884911617054129, 'support': 36380.0} | {'precision': 0.9211727167186562, 'recall': 0.9215777899945025, 'f1-score': 0.9213419265864765, 'support': 36380.0} |
-| 0.0031        | 36.0  | 2916 | 0.7660          | {'precision': 0.6856398809523809, 'recall': 0.7461538461538462, 'f1-score': 0.7146180690189995, 'support': 4940.0} | {'precision': 0.893299189073837, 'recall': 0.956581352833638, 'f1-score': 0.9238578680203046, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9318893528183716, 'recall': 0.8984212843575068, 'f1-score': 0.9148493291062222, 'support': 15899.0} | 0.9180   | {'precision': 0.8777071057111474, 'recall': 0.89991467314659, 'f1-score': 0.8881439523753982, 'support': 36380.0}   | {'precision': 0.9211299741082354, 'recall': 0.9179769103903244, 'f1-score': 0.9191807659449058, 'support': 36380.0} |
-| 0.0031        | 37.0  | 2997 | 0.7609          | {'precision': 0.7443946188340808, 'recall': 0.6720647773279352, 'f1-score': 0.7063829787234043, 'support': 4940.0} | {'precision': 0.875306623058054, 'recall': 0.9785191956124314, 'f1-score': 0.9240397065170479, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9975286452482588, 'f1-score': 0.9987627938364638, 'support': 13353.0}                | {'precision': 0.9151293797201931, 'recall': 0.9298069060947229, 'f1-score': 0.9224097588369263, 'support': 15899.0} | 0.9226   | {'precision': 0.883707655403082, 'recall': 0.8944798810708371, 'f1-score': 0.8878988094784606, 'support': 36380.0}  | {'precision': 0.9207015480061224, 'recall': 0.9225948323254536, 'f1-score': 0.9211985468554017, 'support': 36380.0} |
-| 0.0007        | 38.0  | 3078 | 0.7454          | {'precision': 0.7367860187553282, 'recall': 0.6997975708502024, 'f1-score': 0.7178156146179401, 'support': 4940.0} | {'precision': 0.8893097643097643, 'recall': 0.9657221206581352, 'f1-score': 0.9259421560035057, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9218290009395553, 'recall': 0.9256557016164538, 'f1-score': 0.9237383881496359, 'support': 15899.0} | 0.9245   | {'precision': 0.8869624652002329, 'recall': 0.8976627915898177, 'f1-score': 0.8917991333257291, 'support': 36380.0} | {'precision': 0.9234109822253945, 'recall': 0.9244914788345244, 'f1-score': 0.9237901678906805, 'support': 36380.0} |
-| 0.0007        | 39.0  | 3159 | 0.7313          | {'precision': 0.7448151487826871, 'recall': 0.668825910931174, 'f1-score': 0.704778156996587, 'support': 4940.0}   | {'precision': 0.8852459016393442, 'recall': 0.9625228519195612, 'f1-score': 0.9222684475585724, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9137453021994948, 'recall': 0.9328259638971005, 'f1-score': 0.9231870525988172, 'support': 15899.0} | 0.9229   | {'precision': 0.8859515881553816, 'recall': 0.8906879563817841, 'f1-score': 0.8873804250053225, 'support': 36380.0} | {'precision': 0.9207515510567105, 'recall': 0.9228971962616822, 'f1-score': 0.9214065872594044, 'support': 36380.0} |
-| 0.0007        | 40.0  | 3240 | 0.7378          | {'precision': 0.7307852098047362, 'recall': 0.7121457489878542, 'f1-score': 0.7213450891941768, 'support': 4940.0} | {'precision': 0.8979416809605489, 'recall': 0.9570383912248629, 'f1-score': 0.9265486725663717, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9231446540880504, 'recall': 0.9232027171520222, 'f1-score': 0.9231736847070662, 'support': 15899.0} | 0.9242   | {'precision': 0.8879678862133338, 'recall': 0.89774098903601, 'f1-score': 0.8925888723337321, 'support': 36380.0}   | {'precision': 0.9237177622243814, 'recall': 0.9242440901594282, 'f1-score': 0.9239077758592451, 'support': 36380.0} |
-| 0.0007        | 41.0  | 3321 | 0.7536          | {'precision': 0.731932232468368, 'recall': 0.6908906882591093, 'f1-score': 0.7108195355618034, 'support': 4940.0}  | {'precision': 0.8881469115191987, 'recall': 0.9725776965265083, 'f1-score': 0.9284467713787086, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9187566451935706, 'recall': 0.9239574816026165, 'f1-score': 0.9213497240341193, 'support': 15899.0} | 0.9226   | {'precision': 0.8847089472952844, 'recall': 0.8964632965229179, 'f1-score': 0.8899572680022301, 'support': 36380.0} | {'precision': 0.9213667557100144, 'recall': 0.9225673446948873, 'f1-score': 0.921768033007181, 'support': 36380.0}  |
-| 0.0007        | 42.0  | 3402 | 0.7416          | {'precision': 0.7358247422680413, 'recall': 0.6935222672064777, 'f1-score': 0.7140475197999167, 'support': 4940.0} | {'precision': 0.8910766652702137, 'recall': 0.9721206581352834, 'f1-score': 0.9298360655737705, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.919265137786665, 'recall': 0.9252783193911567, 'f1-score': 0.9222619271519027, 'support': 15899.0}  | 0.9235   | {'precision': 0.88654163633123, 'recall': 0.8973745858780546, 'f1-score': 0.8913583888482258, 'support': 36380.0}   | {'precision': 0.9222937437076839, 'recall': 0.9235294117647059, 'f1-score': 0.9227160988312902, 'support': 36380.0} |
-| 0.0007        | 43.0  | 3483 | 0.7578          | {'precision': 0.7373890452478892, 'recall': 0.6894736842105263, 'f1-score': 0.7126268438121143, 'support': 4940.0} | {'precision': 0.8900961136648559, 'recall': 0.973491773308958, 'f1-score': 0.9299279633267845, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9181319366504551, 'recall': 0.9261588779168501, 'f1-score': 0.9221279393806557, 'support': 15899.0} | 0.9233   | {'precision': 0.8864042738908001, 'recall': 0.8968504690159773, 'f1-score': 0.8909551936193576, 'support': 36380.0} | {'precision': 0.9219519472520303, 'recall': 0.9233369983507421, 'f1-score': 0.9224150958693075, 'support': 36380.0} |
-| 0.0003        | 44.0  | 3564 | 0.7405          | {'precision': 0.7482868889904066, 'recall': 0.6631578947368421, 'f1-score': 0.7031551835157759, 'support': 4940.0} | {'precision': 0.8901098901098901, 'recall': 0.9625228519195612, 'f1-score': 0.924901185770751, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9114273446604919, 'recall': 0.9345870809484873, 'f1-score': 0.9228619340413639, 'support': 15899.0} | 0.9229   | {'precision': 0.8874560309401971, 'recall': 0.8896925092115648, 'f1-score': 0.8875422116709895, 'support': 36380.0} | {'precision': 0.9205025020321663, 'recall': 0.922869708631116, 'f1-score': 0.9211886969706305, 'support': 36380.0}  |
-| 0.0003        | 45.0  | 3645 | 0.7358          | {'precision': 0.7416612164813604, 'recall': 0.6886639676113361, 'f1-score': 0.7141807494489346, 'support': 4940.0} | {'precision': 0.8908167583580194, 'recall': 0.9620658135283364, 'f1-score': 0.9250714128762909, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9177690826656729, 'recall': 0.9294295238694258, 'f1-score': 0.9235625000000001, 'support': 15899.0} | 0.9239   | {'precision': 0.8875617643762631, 'recall': 0.8945904890246853, 'f1-score': 0.8904787948819586, 'support': 36380.0} | {'precision': 0.9224168257835843, 'recall': 0.9239417262231996, 'f1-score': 0.9229471838196122, 'support': 36380.0} |
-| 0.0003        | 46.0  | 3726 | 0.7377          | {'precision': 0.7419004131332898, 'recall': 0.6906882591093118, 'f1-score': 0.7153789705419855, 'support': 4940.0} | {'precision': 0.8880565959217644, 'recall': 0.9753199268738574, 'f1-score': 0.9296449575255936, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9979779824758481, 'f1-score': 0.9989879680647701, 'support': 13353.0}                | {'precision': 0.9186394218788936, 'recall': 0.9274797157053902, 'f1-score': 0.9230384025539106, 'support': 15899.0} | 0.9241   | {'precision': 0.887149107733487, 'recall': 0.8978664710411017, 'f1-score': 0.891762574671565, 'support': 36380.0}   | {'precision': 0.9226636624850962, 'recall': 0.9240791643760308, 'f1-score': 0.9231146009158029, 'support': 36380.0} |
-| 0.0003        | 47.0  | 3807 | 0.7395          | {'precision': 0.7348195329087048, 'recall': 0.7006072874493927, 'f1-score': 0.7173056994818653, 'support': 4940.0} | {'precision': 0.8904623073719283, 'recall': 0.9771480804387569, 'f1-score': 0.9317934190455436, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9211896843822551, 'recall': 0.9233914082646707, 'f1-score': 0.9222892323156174, 'support': 15899.0} | 0.9239   | {'precision': 0.8866178811657222, 'recall': 0.8998935239640644, 'f1-score': 0.8926503479693289, 'support': 36380.0} | {'precision': 0.9229613747414034, 'recall': 0.9239142385926333, 'f1-score': 0.9232606486484036, 'support': 36380.0} |
-| 0.0003        | 48.0  | 3888 | 0.7407          | {'precision': 0.730044463264874, 'recall': 0.6979757085020243, 'f1-score': 0.7136500051743766, 'support': 4940.0}  | {'precision': 0.8839801816680429, 'recall': 0.9785191956124314, 'f1-score': 0.9288503253796095, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9213935354043516, 'recall': 0.9215673941757343, 'f1-score': 0.9214804565894154, 'support': 15899.0} | 0.9229   | {'precision': 0.8838545450843172, 'recall': 0.8991411268828897, 'f1-score': 0.8908078326248671, 'support': 36380.0} | {'precision': 0.9220122074054958, 'recall': 0.922869708631116, 'f1-score': 0.9222475487146972, 'support': 36380.0}  |
-| 0.0003        | 49.0  | 3969 | 0.7422          | {'precision': 0.7314540059347181, 'recall': 0.698582995951417, 'f1-score': 0.714640712362808, 'support': 4940.0}   | {'precision': 0.8828865979381443, 'recall': 0.9785191956124314, 'f1-score': 0.9282462605679601, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9217806841046278, 'recall': 0.9220705704761306, 'f1-score': 0.9219256045027199, 'support': 15899.0} | 0.9232   | {'precision': 0.8840303219943725, 'recall': 0.899418742820337, 'f1-score': 0.8910157801973887, 'support': 36380.0}  | {'precision': 0.9223070302964718, 'recall': 0.9231720725673447, 'f1-score': 0.9225402866579788, 'support': 36380.0} |
-| 0.0004        | 50.0  | 4050 | 0.7415          | {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}  | {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0} | 0.9235   | {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}  | {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0} |
+| No log        | 1.0   | 81   | 0.2830          | {'precision': 0.5768789443488239, 'recall': 0.4824856046065259, 'f1-score': 0.5254768748366867, 'support': 4168.0} | {'precision': 0.7495921696574225, 'recall': 0.854089219330855, 'f1-score': 0.7984361424847959, 'support': 2152.0}  | {'precision': 0.9988511841640155, 'recall': 0.9992043847241867, 'f1-score': 0.9990277532260916, 'support': 11312.0} | {'precision': 0.8719781543651113, 'recall': 0.8992793837488611, 'f1-score': 0.8854183656825966, 'support': 12073.0} | 0.8756   | {'precision': 0.7993251131338432, 'recall': 0.8087646481026072, 'f1-score': 0.8020897840575427, 'support': 29705.0} | {'precision': 0.8700202202343714, 'recall': 0.8755765022723447, 'f1-score': 0.8718761173649596, 'support': 29705.0} |
+| No log        | 2.0   | 162  | 0.2736          | {'precision': 0.6124497991967871, 'recall': 0.5122360844529751, 'f1-score': 0.5578782336033447, 'support': 4168.0} | {'precision': 0.9571619812583668, 'recall': 0.6644981412639405, 'f1-score': 0.784421283598464, 'support': 2152.0}  | {'precision': 0.9997348652231551, 'recall': 1.0, 'f1-score': 0.9998674150351351, 'support': 11312.0}                | {'precision': 0.8530201342281879, 'recall': 0.9474861260664292, 'f1-score': 0.8977749872463995, 'support': 12073.0} | 0.8859   | {'precision': 0.8555916949766242, 'recall': 0.7810550879458362, 'f1-score': 0.8099854798708358, 'support': 29705.0} | {'precision': 0.8826802296805741, 'recall': 0.8859114627167144, 'f1-score': 0.8807489883812781, 'support': 29705.0} |
+| No log        | 3.0   | 243  | 0.2259          | {'precision': 0.6627322953289804, 'recall': 0.6331573896353166, 'f1-score': 0.64760736196319, 'support': 4168.0}   | {'precision': 0.8881875563570785, 'recall': 0.9154275092936803, 'f1-score': 0.9016018306636155, 'support': 2152.0} | {'precision': 1.0, 'recall': 0.9993811881188119, 'f1-score': 0.9996904982977407, 'support': 11312.0}                | {'precision': 0.8936065573770492, 'recall': 0.9030067091857865, 'f1-score': 0.8982820417748115, 'support': 12073.0} | 0.9027   | {'precision': 0.861131602265777, 'recall': 0.8627431990583988, 'f1-score': 0.8617954331748394, 'support': 29705.0}  | {'precision': 0.9013351218793044, 'recall': 0.9027436458508669, 'f1-score': 0.9019670975035187, 'support': 29705.0} |
+| No log        | 4.0   | 324  | 0.3234          | {'precision': 0.5561865427637239, 'recall': 0.7754318618042226, 'f1-score': 0.6477602966229081, 'support': 4168.0} | {'precision': 0.8627031650983746, 'recall': 0.9372676579925651, 'f1-score': 0.8984409799554566, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9384029675907849, 'recall': 0.7962395427814131, 'f1-score': 0.861495720750997, 'support': 12073.0}  | 0.8811   | {'precision': 0.8393231688632209, 'recall': 0.8772347656445502, 'f1-score': 0.8519242493323405, 'support': 29705.0} | {'precision': 0.9027457246003854, 'recall': 0.8811311227066151, 'f1-score': 0.8869263673393438, 'support': 29705.0} |
+| No log        | 5.0   | 405  | 0.3072          | {'precision': 0.6833864888373442, 'recall': 0.5654990403071017, 'f1-score': 0.6188788236838649, 'support': 4168.0} | {'precision': 0.9230033476805356, 'recall': 0.8968401486988847, 'f1-score': 0.909733679000707, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8706816059757236, 'recall': 0.9268615919821088, 'f1-score': 0.8978936810431294, 'support': 12073.0} | 0.9018   | {'precision': 0.8692457621526151, 'recall': 0.8473001952470238, 'f1-score': 0.8566154962081685, 'support': 29705.0} | {'precision': 0.8974043833368577, 'recall': 0.9018347079616226, 'f1-score': 0.8984684143294738, 'support': 29705.0} |
+| No log        | 6.0   | 486  | 0.3635          | {'precision': 0.6545212765957447, 'recall': 0.5904510556621881, 'f1-score': 0.620837537840565, 'support': 4168.0}  | {'precision': 0.8547509418166597, 'recall': 0.9488847583643123, 'f1-score': 0.8993613741466637, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8869558114841134, 'recall': 0.8994450426571688, 'f1-score': 0.8931567692054615, 'support': 12073.0} | 0.8980   | {'precision': 0.8490349090033436, 'recall': 0.8596952141709173, 'f1-score': 0.8533278705744156, 'support': 29705.0} | {'precision': 0.8950239457358053, 'recall': 0.8979633058407676, 'f1-score': 0.8960665959131486, 'support': 29705.0} |
+| 0.214         | 7.0   | 567  | 0.3469          | {'precision': 0.6769303647560397, 'recall': 0.685700575815739, 'f1-score': 0.6812872467222885, 'support': 4168.0}  | {'precision': 0.9319887429643527, 'recall': 0.9233271375464684, 'f1-score': 0.9276377217553688, 'support': 2152.0} | {'precision': 0.9999115983026874, 'recall': 0.9999115983026874, 'f1-score': 0.9999115983026874, 'support': 11312.0} | {'precision': 0.9029819752471135, 'recall': 0.9004389961070156, 'f1-score': 0.9017086927670869, 'support': 12073.0} | 0.9098   | {'precision': 0.8779531703175483, 'recall': 0.8773445769429775, 'f1-score': 0.8776363148868579, 'support': 29705.0} | {'precision': 0.910277290769933, 'recall': 0.9098468271334792, 'f1-score': 0.9100559053806798, 'support': 29705.0}  |
+| 0.214         | 8.0   | 648  | 0.4017          | {'precision': 0.6105725260654838, 'recall': 0.8008637236084453, 'f1-score': 0.6928905033731187, 'support': 4168.0} | {'precision': 0.9278779472954231, 'recall': 0.9326208178438662, 'f1-score': 0.9302433371958285, 'support': 2152.0} | {'precision': 1.0, 'recall': 0.9998231966053748, 'f1-score': 0.9999115904871364, 'support': 11312.0}                | {'precision': 0.9356247097073851, 'recall': 0.8342582622380519, 'f1-score': 0.8820387074174622, 'support': 12073.0} | 0.8997   | {'precision': 0.868518795767073, 'recall': 0.8918915000739345, 'f1-score': 0.8762710346183864, 'support': 29705.0}  | {'precision': 0.9139692560686062, 'recall': 0.8997475172529877, 'f1-score': 0.9038782866839282, 'support': 29705.0} |
+| 0.214         | 9.0   | 729  | 0.4713          | {'precision': 0.7130531589201224, 'recall': 0.6146833013435701, 'f1-score': 0.6602241979126401, 'support': 4168.0} | {'precision': 0.8839681133746679, 'recall': 0.9275092936802974, 'f1-score': 0.9052154195011338, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8903596204449405, 'recall': 0.9248736850824153, 'f1-score': 0.9072885349800925, 'support': 12073.0} | 0.9101   | {'precision': 0.8718231247141469, 'recall': 0.8667665700265708, 'f1-score': 0.8681709883747097, 'support': 29705.0} | {'precision': 0.9067368029754924, 'recall': 0.910149806429894, 'f1-score': 0.9077607320175198, 'support': 29705.0}  |
+| 0.214         | 10.0  | 810  | 0.4968          | {'precision': 0.6562300319488817, 'recall': 0.7392034548944337, 'f1-score': 0.6952499153785399, 'support': 4168.0} | {'precision': 0.9344422700587084, 'recall': 0.887546468401487, 'f1-score': 0.9103908484270734, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9174532349407929, 'recall': 0.8856125238134681, 'f1-score': 0.9012517385257303, 'support': 12073.0} | 0.9088   | {'precision': 0.8770313842370958, 'recall': 0.8780906117773473, 'f1-score': 0.8767231255828358, 'support': 29705.0} | {'precision': 0.9134657277821738, 'recall': 0.9087695674128935, 'f1-score': 0.9106135328171674, 'support': 29705.0} |
+| 0.214         | 11.0  | 891  | 0.5865          | {'precision': 0.6913151364764268, 'recall': 0.668426103646833, 'f1-score': 0.6796779702366431, 'support': 4168.0}  | {'precision': 0.9079646017699115, 'recall': 0.9535315985130112, 'f1-score': 0.9301903898458749, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9008428358948934, 'recall': 0.9030067091857865, 'f1-score': 0.901923474663909, 'support': 12073.0}  | 0.9107   | {'precision': 0.8750085450645222, 'recall': 0.8812411028364077, 'f1-score': 0.8779369089628499, 'support': 29705.0} | {'precision': 0.9096858090555641, 'recall': 0.9106884362901868, 'f1-score': 0.9101191594213591, 'support': 29705.0} |
+| 0.214         | 12.0  | 972  | 0.5556          | {'precision': 0.6425824731835661, 'recall': 0.7617562380038387, 'f1-score': 0.697112745636184, 'support': 4168.0}  | {'precision': 0.920556552962298, 'recall': 0.9530669144981413, 'f1-score': 0.9365296803652968, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9260513186029936, 'recall': 0.8609293464756067, 'f1-score': 0.8923037300940034, 'support': 12073.0} | 0.9066   | {'precision': 0.8722975861872144, 'recall': 0.8939381247443967, 'f1-score': 0.8814865390238711, 'support': 29705.0} | {'precision': 0.9140393543072853, 'recall': 0.9066487123379903, 'f1-score': 0.9091318205481447, 'support': 29705.0} |
+| 0.0252        | 13.0  | 1053 | 0.5548          | {'precision': 0.7212470526591565, 'recall': 0.6605086372360844, 'f1-score': 0.6895428929242329, 'support': 4168.0} | {'precision': 0.9069870939029817, 'recall': 0.9470260223048327, 'f1-score': 0.9265742214139577, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8989292667099286, 'recall': 0.917916010933488, 'f1-score': 0.9083234293676489, 'support': 12073.0}  | 0.9152   | {'precision': 0.8817687548472308, 'recall': 0.8813626676186013, 'f1-score': 0.8810990862027029, 'support': 29705.0} | {'precision': 0.9130371003853032, 'recall': 0.9151657970038714, 'f1-score': 0.9138424940934561, 'support': 29705.0} |
+| 0.0252        | 14.0  | 1134 | 0.5989          | {'precision': 0.6706368497812348, 'recall': 0.6619481765834933, 'f1-score': 0.6662641873943491, 'support': 4168.0} | {'precision': 0.9337434926644581, 'recall': 0.91682156133829, 'f1-score': 0.9252051582649472, 'support': 2152.0}   | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8933914187078744, 'recall': 0.9002733371987078, 'f1-score': 0.8968191757085687, 'support': 12073.0} | 0.9060   | {'precision': 0.8744429402883919, 'recall': 0.8697607687801228, 'f1-score': 0.8720721303419663, 'support': 29705.0} | {'precision': 0.9056571278963901, 'recall': 0.9060090893788925, 'f1-score': 0.9058181633386757, 'support': 29705.0} |
+| 0.0252        | 15.0  | 1215 | 0.5878          | {'precision': 0.7189061267420458, 'recall': 0.6559500959692899, 'f1-score': 0.6859867017940033, 'support': 4168.0} | {'precision': 0.9410912602607436, 'recall': 0.9056691449814126, 'f1-score': 0.9230404925408477, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.89272306094736, 'recall': 0.9257019796239543, 'f1-score': 0.9089134677944047, 'support': 12073.0}   | 0.9147   | {'precision': 0.8881801119875374, 'recall': 0.8718303051436642, 'f1-score': 0.8794851655323139, 'support': 29705.0} | {'precision': 0.9126906124611831, 'recall': 0.9146944958761152, 'f1-score': 0.9133441511431463, 'support': 29705.0} |
+| 0.0252        | 16.0  | 1296 | 0.5438          | {'precision': 0.6844300278035218, 'recall': 0.7087332053742802, 'f1-score': 0.6963696369636965, 'support': 4168.0} | {'precision': 0.9468033186920449, 'recall': 0.9014869888475836, 'f1-score': 0.9235896215186861, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9065513801130695, 'recall': 0.9031723680940943, 'f1-score': 0.9048587195552051, 'support': 12073.0} | 0.9126   | {'precision': 0.884446181652159, 'recall': 0.8783481405789896, 'f1-score': 0.881204494509397, 'support': 29705.0}   | {'precision': 0.9138872213369954, 'recall': 0.9126409695337485, 'f1-score': 0.913192823886985, 'support': 29705.0}  |
+| 0.0252        | 17.0  | 1377 | 0.6229          | {'precision': 0.7666776207689779, 'recall': 0.5597408829174664, 'f1-score': 0.647066981001248, 'support': 4168.0}  | {'precision': 0.8876889848812095, 'recall': 0.9549256505576208, 'f1-score': 0.9200805910006717, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8760165720423507, 'recall': 0.9457467075291974, 'f1-score': 0.9095471382482972, 'support': 12073.0} | 0.9129   | {'precision': 0.8825736959523487, 'recall': 0.8651033102510712, 'f1-score': 0.8691626278387974, 'support': 29705.0} | {'precision': 0.9087011338660376, 'recall': 0.912910284463895, 'f1-score': 0.9079094842894391, 'support': 29705.0}  |
+| 0.0252        | 18.0  | 1458 | 0.5978          | {'precision': 0.6511780104712042, 'recall': 0.7161708253358925, 'f1-score': 0.6821297989031078, 'support': 4168.0} | {'precision': 0.9169724770642201, 'recall': 0.9289033457249071, 'f1-score': 0.922899353647276, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9112487100103199, 'recall': 0.8776608962146939, 'f1-score': 0.8941394877853255, 'support': 12073.0} | 0.9053   | {'precision': 0.8698277009156502, 'recall': 0.8806837668188734, 'f1-score': 0.8747811103601705, 'support': 29705.0} | {'precision': 0.9089358856298488, 'recall': 0.9053021376872581, 'f1-score': 0.9067713337488226, 'support': 29705.0} |
+| 0.0101        | 19.0  | 1539 | 0.6089          | {'precision': 0.711257519335434, 'recall': 0.5957293666026872, 'f1-score': 0.6483875179527353, 'support': 4168.0}  | {'precision': 0.9259431765253843, 'recall': 0.9237918215613383, 'f1-score': 0.9248662479646429, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8779302234417875, 'recall': 0.92752422761534, 'f1-score': 0.9020460770098276, 'support': 12073.0}   | 0.9083   | {'precision': 0.8787827298256514, 'recall': 0.8617613539448413, 'f1-score': 0.8688249607318015, 'support': 29705.0} | {'precision': 0.9045077476547858, 'recall': 0.9082982662851372, 'f1-score': 0.9054096491562553, 'support': 29705.0} |
+| 0.0101        | 20.0  | 1620 | 0.6036          | {'precision': 0.66363819907127, 'recall': 0.7886276391554703, 'f1-score': 0.7207543032562219, 'support': 4168.0}   | {'precision': 0.9459078080903104, 'recall': 0.9344795539033457, 'f1-score': 0.9401589527816735, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9299982322785929, 'recall': 0.8715315166073055, 'f1-score': 0.8998161371702227, 'support': 12073.0} | 0.9134   | {'precision': 0.8848860598600434, 'recall': 0.8986596774165303, 'f1-score': 0.8901823483020296, 'support': 29705.0} | {'precision': 0.9204344815700675, 'recall': 0.9133815855916513, 'f1-score': 0.9157652323317351, 'support': 29705.0} |
+| 0.0101        | 21.0  | 1701 | 0.6373          | {'precision': 0.7248196633716271, 'recall': 0.650911708253359, 'f1-score': 0.6858804196688157, 'support': 4168.0}  | {'precision': 0.9418113561708118, 'recall': 0.9326208178438662, 'f1-score': 0.9371935559187485, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8915248821790878, 'recall': 0.9244595378116458, 'f1-score': 0.907693558880937, 'support': 12073.0}  | 0.9154   | {'precision': 0.8895389754303817, 'recall': 0.8769980159772177, 'f1-score': 0.8826918836171254, 'support': 29705.0} | {'precision': 0.9130855511853444, 'recall': 0.9154351119340178, 'f1-score': 0.913858759733591, 'support': 29705.0}  |
+| 0.0101        | 22.0  | 1782 | 0.6425          | {'precision': 0.6827107279693486, 'recall': 0.684021113243762, 'f1-score': 0.6833652924256951, 'support': 4168.0}  | {'precision': 0.8973136915077989, 'recall': 0.962360594795539, 'f1-score': 0.9286995515695068, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9070372858582466, 'recall': 0.8946409343162428, 'f1-score': 0.9007964638672282, 'support': 12073.0} | 0.9101   | {'precision': 0.8717433278630627, 'recall': 0.8852556605888859, 'f1-score': 0.8782042772418507, 'support': 29705.0} | {'precision': 0.910224494827858, 'recall': 0.9101161420636257, 'f1-score': 0.9100704832242509, 'support': 29705.0}  |
+| 0.0101        | 23.0  | 1863 | 0.6442          | {'precision': 0.6941337594156586, 'recall': 0.7296065259117083, 'f1-score': 0.7114282372207277, 'support': 4168.0} | {'precision': 0.918018018018018, 'recall': 0.9470260223048327, 'f1-score': 0.9322964318389753, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9177408412483039, 'recall': 0.8963803528534747, 'f1-score': 0.9069348418185628, 'support': 12073.0} | 0.9161   | {'precision': 0.8824731546704951, 'recall': 0.893253225267504, 'f1-score': 0.8876648777195664, 'support': 29705.0}  | {'precision': 0.917711141572463, 'recall': 0.9161083992593839, 'f1-score': 0.9167803117094421, 'support': 29705.0}  |
+| 0.0101        | 24.0  | 1944 | 0.6410          | {'precision': 0.6809843400447427, 'recall': 0.7303262955854126, 'f1-score': 0.70479277610558, 'support': 4168.0}   | {'precision': 0.915985467756585, 'recall': 0.9372676579925651, 'f1-score': 0.9265043638033992, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.917754457810767, 'recall': 0.8909964383334714, 'f1-score': 0.904177523745482, 'support': 12073.0}   | 0.9133   | {'precision': 0.8786810664030237, 'recall': 0.8896475979778622, 'f1-score': 0.8838686659136152, 'support': 29705.0} | {'precision': 0.9157243906772613, 'recall': 0.9133142568591146, 'f1-score': 0.9143090027231838, 'support': 29705.0} |
+| 0.0041        | 25.0  | 2025 | 0.6537          | {'precision': 0.761817627325404, 'recall': 0.5993282149712092, 'f1-score': 0.6708741775211494, 'support': 4168.0}  | {'precision': 0.9236430542778289, 'recall': 0.9330855018587361, 'f1-score': 0.9283402681460935, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.881839258114374, 'recall': 0.94516690135012, 'f1-score': 0.9124055491144605, 'support': 12073.0}    | 0.9166   | {'precision': 0.8918249849294018, 'recall': 0.8693951545450163, 'f1-score': 0.8779049986954259, 'support': 29705.0} | {'precision': 0.9130241066053866, 'recall': 0.9166470291196768, 'f1-score': 0.9130268986169812, 'support': 29705.0} |
+| 0.0041        | 26.0  | 2106 | 0.6640          | {'precision': 0.682358215646716, 'recall': 0.7303262955854126, 'f1-score': 0.7055278711322285, 'support': 4168.0}  | {'precision': 0.9260808926080892, 'recall': 0.9256505576208178, 'f1-score': 0.9258656751103881, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9157894736842105, 'recall': 0.8935641514122422, 'f1-score': 0.9045403093950447, 'support': 12073.0} | 0.9135   | {'precision': 0.8810350470139681, 'recall': 0.8873852511546182, 'f1-score': 0.8839724141856584, 'support': 29705.0} | {'precision': 0.9158162439956733, 'recall': 0.9135162430567244, 'f1-score': 0.9144964914035518, 'support': 29705.0} |
+| 0.0041        | 27.0  | 2187 | 0.6806          | {'precision': 0.7442748091603053, 'recall': 0.6082053742802304, 'f1-score': 0.6693952997095327, 'support': 4168.0} | {'precision': 0.9292604501607717, 'recall': 0.9400557620817844, 'f1-score': 0.9346269346269347, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8811085089773615, 'recall': 0.9348960490350369, 'f1-score': 0.9072057227826226, 'support': 12073.0} | 0.9142   | {'precision': 0.8886609420746096, 'recall': 0.8707892963492629, 'f1-score': 0.8778069892797724, 'support': 29705.0} | {'precision': 0.9106725777549173, 'recall': 0.9142231947483589, 'f1-score': 0.9111614699094798, 'support': 29705.0} |
+| 0.0041        | 28.0  | 2268 | 0.6814          | {'precision': 0.6839739267251068, 'recall': 0.7300863723608445, 'f1-score': 0.7062782871068818, 'support': 4168.0} | {'precision': 0.9005305039787799, 'recall': 0.9465613382899628, 'f1-score': 0.9229723606705936, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9208183530217429, 'recall': 0.8909964383334714, 'f1-score': 0.9056619659019154, 'support': 12073.0} | 0.9140   | {'precision': 0.8763306959314074, 'recall': 0.8919110372460697, 'f1-score': 0.8837281534198478, 'support': 29705.0} | {'precision': 0.9162694814739634, 'recall': 0.9139538798182124, 'f1-score': 0.914864882516695, 'support': 29705.0}  |
+| 0.0041        | 29.0  | 2349 | 0.7109          | {'precision': 0.7038007863695938, 'recall': 0.644193857965451, 'f1-score': 0.6726794438181135, 'support': 4168.0}  | {'precision': 0.9101876675603218, 'recall': 0.9465613382899628, 'f1-score': 0.9280182232346242, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8940756949509685, 'recall': 0.9137745382257931, 'f1-score': 0.9038177945272816, 'support': 12073.0} | 0.9112   | {'precision': 0.8769939387494352, 'recall': 0.8761324336203018, 'f1-score': 0.8761178156712479, 'support': 29705.0} | {'precision': 0.9088483922476083, 'recall': 0.9111597374179431, 'f1-score': 0.9097497186891812, 'support': 29705.0} |
+| 0.0041        | 30.0  | 2430 | 0.6746          | {'precision': 0.7230121116377041, 'recall': 0.6588291746641075, 'f1-score': 0.6894300778307808, 'support': 4168.0} | {'precision': 0.9276887871853547, 'recall': 0.9419144981412639, 'f1-score': 0.934747521328107, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8963738920225625, 'recall': 0.9213948480079516, 'f1-score': 0.9087121676265164, 'support': 12073.0} | 0.9160   | {'precision': 0.8867686977114053, 'recall': 0.8805346302033308, 'f1-score': 0.883222441696351, 'support': 29705.0}  | {'precision': 0.9137795909684305, 'recall': 0.9159737417943107, 'f1-score': 0.9145936115149541, 'support': 29705.0} |
+| 0.0026        | 31.0  | 2511 | 0.6795          | {'precision': 0.71953166577967, 'recall': 0.6487523992322457, 'f1-score': 0.6823113802674742, 'support': 4168.0}   | {'precision': 0.9182389937106918, 'recall': 0.949814126394052, 'f1-score': 0.9337597076290544, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8948343943911677, 'recall': 0.9197382589248737, 'f1-score': 0.9071154317457725, 'support': 12073.0} | 0.9145   | {'precision': 0.8831512634703823, 'recall': 0.8795761961377929, 'f1-score': 0.8807966299105753, 'support': 29705.0} | {'precision': 0.9119809439797892, 'recall': 0.914458845312237, 'f1-score': 0.9128742410785817, 'support': 29705.0}  |
+| 0.0026        | 32.0  | 2592 | 0.7193          | {'precision': 0.7251544076361595, 'recall': 0.619721689059501, 'f1-score': 0.6683053040103493, 'support': 4168.0}  | {'precision': 0.9136021267168808, 'recall': 0.95817843866171, 'f1-score': 0.9353594919482876, 'support': 2152.0}   | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.886909495784953, 'recall': 0.9237140727242608, 'f1-score': 0.904937720615085, 'support': 12073.0}   | 0.9126   | {'precision': 0.8814165075344984, 'recall': 0.875403550111368, 'f1-score': 0.8771506291434306, 'support': 29705.0}  | {'precision': 0.9092130513494017, 'recall': 0.9126073051674802, 'f1-score': 0.9101398160166225, 'support': 29705.0} |
+| 0.0026        | 33.0  | 2673 | 0.6994          | {'precision': 0.6801324503311258, 'recall': 0.7392034548944337, 'f1-score': 0.7084387215451827, 'support': 4168.0} | {'precision': 0.9304029304029304, 'recall': 0.9442379182156134, 'f1-score': 0.937269372693727, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9178868053771727, 'recall': 0.8879317485297772, 'f1-score': 0.9026608285618052, 'support': 12073.0} | 0.9138   | {'precision': 0.8821055465278073, 'recall': 0.8928432804099561, 'f1-score': 0.8870922307001787, 'support': 29705.0} | {'precision': 0.9167031328236271, 'recall': 0.9138192223531392, 'f1-score': 0.9149840250686382, 'support': 29705.0} |
+| 0.0026        | 34.0  | 2754 | 0.7248          | {'precision': 0.6961510877360746, 'recall': 0.6986564299424184, 'f1-score': 0.6974015088013411, 'support': 4168.0} | {'precision': 0.92686230248307, 'recall': 0.953996282527881, 'f1-score': 0.9402335699564919, 'support': 2152.0}    | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9066277615673197, 'recall': 0.9007703139236313, 'f1-score': 0.9036895462855244, 'support': 12073.0} | 0.9141   | {'precision': 0.882410287946616, 'recall': 0.8883557565984826, 'f1-score': 0.8853311562608394, 'support': 29705.0}  | {'precision': 0.9141182418458097, 'recall': 0.9140548729170174, 'f1-score': 0.9140682047983671, 'support': 29705.0} |
+| 0.0026        | 35.0  | 2835 | 0.7356          | {'precision': 0.7119196988707653, 'recall': 0.680662188099808, 'f1-score': 0.6959401447320005, 'support': 4168.0}  | {'precision': 0.9223867205024675, 'recall': 0.9553903345724907, 'f1-score': 0.9385984934946359, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9029397273772376, 'recall': 0.9107926778762528, 'f1-score': 0.9068492020947589, 'support': 12073.0} | 0.9157   | {'precision': 0.8842894382168318, 'recall': 0.8867113001371378, 'f1-score': 0.885335910356592, 'support': 29705.0}  | {'precision': 0.914473958742095, 'recall': 0.9157044268641643, 'f1-score': 0.9150120491578154, 'support': 29705.0}  |
+| 0.0026        | 36.0  | 2916 | 0.7340          | {'precision': 0.6965634901291737, 'recall': 0.685700575815739, 'f1-score': 0.6910893483254744, 'support': 4168.0}  | {'precision': 0.8989943156974202, 'recall': 0.9553903345724907, 'f1-score': 0.9263347600810993, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9079396817462301, 'recall': 0.9026753913691709, 'f1-score': 0.9052998837016115, 'support': 12073.0} | 0.9131   | {'precision': 0.8758743718932059, 'recall': 0.8859415754393501, 'f1-score': 0.8806809980270462, 'support': 29705.0} | {'precision': 0.9126903946124048, 'recall': 0.9131122706615048, 'f1-score': 0.912830106158716, 'support': 29705.0}  |
+| 0.0026        | 37.0  | 2997 | 0.7739          | {'precision': 0.6693262411347518, 'recall': 0.7245681381957774, 'f1-score': 0.6958525345622121, 'support': 4168.0} | {'precision': 0.9029424681598595, 'recall': 0.9553903345724907, 'f1-score': 0.9284262813276133, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.917873147190624, 'recall': 0.8822165161931583, 'f1-score': 0.8996916839126579, 'support': 12073.0}  | 0.9103   | {'precision': 0.8725354641213088, 'recall': 0.8905437472403566, 'f1-score': 0.8809926249506208, 'support': 29705.0} | {'precision': 0.9131919363932695, 'recall': 0.9102507995286989, 'f1-score': 0.9113706251927232, 'support': 29705.0} |
+| 0.0015        | 38.0  | 3078 | 0.7573          | {'precision': 0.6993977481015973, 'recall': 0.6408349328214972, 'f1-score': 0.6688368598973332, 'support': 4168.0} | {'precision': 0.9250814332247557, 'recall': 0.9237918215613383, 'f1-score': 0.9244361776331085, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8903822937625755, 'recall': 0.9163422513045639, 'f1-score': 0.9031757694505674, 'support': 12073.0} | 0.9101   | {'precision': 0.8787153687722321, 'recall': 0.8702422514218499, 'f1-score': 0.8741122017452523, 'support': 29705.0} | {'precision': 0.9078421306508232, 'recall': 0.9100824776973574, 'f1-score': 0.9087069433056804, 'support': 29705.0} |
+| 0.0015        | 39.0  | 3159 | 0.7572          | {'precision': 0.7304557802595835, 'recall': 0.5806142034548945, 'f1-score': 0.6469723299024195, 'support': 4168.0} | {'precision': 0.9357581483230987, 'recall': 0.9205390334572491, 'f1-score': 0.9280862028578122, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8742575021214225, 'recall': 0.9387062039261161, 'f1-score': 0.9053363157053842, 'support': 12073.0} | 0.9105   | {'precision': 0.8851178576760261, 'recall': 0.859964860209565, 'f1-score': 0.870098712116404, 'support': 29705.0}   | {'precision': 0.9064198636736301, 'recall': 0.910486450092577, 'f1-score': 0.9067816030666352, 'support': 29705.0}  |
+| 0.0015        | 40.0  | 3240 | 0.7419          | {'precision': 0.7146529562982005, 'recall': 0.6669865642994242, 'f1-score': 0.6899975179945396, 'support': 4168.0} | {'precision': 0.9298978644382544, 'recall': 0.9307620817843866, 'f1-score': 0.9303297724105899, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8984533160579804, 'recall': 0.9189927938374887, 'f1-score': 0.9086069936942102, 'support': 12073.0} | 0.9153   | {'precision': 0.8857510341986088, 'recall': 0.8791853599803248, 'f1-score': 0.8822335710248349, 'support': 29705.0} | {'precision': 0.913611870422152, 'recall': 0.9153341188352129, 'f1-score': 0.9143104379767389, 'support': 29705.0}  |
+| 0.0015        | 41.0  | 3321 | 0.7466          | {'precision': 0.6777356808558057, 'recall': 0.7296065259117083, 'f1-score': 0.7027151935297515, 'support': 4168.0} | {'precision': 0.925756186984418, 'recall': 0.9386617100371747, 'f1-score': 0.9321642824180896, 'support': 2152.0}  | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.9155578300921188, 'recall': 0.8890913608879317, 'f1-score': 0.902130520653864, 'support': 12073.0}  | 0.9125   | {'precision': 0.8797624244830856, 'recall': 0.8893398992092036, 'f1-score': 0.8842524991504263, 'support': 29705.0} | {'precision': 0.9150836328867065, 'recall': 0.9125399764349437, 'f1-score': 0.9135955643241823, 'support': 29705.0} |
+| 0.0015        | 42.0  | 3402 | 0.7536          | {'precision': 0.6951059931954986, 'recall': 0.6372360844529751, 'f1-score': 0.6649142571035175, 'support': 4168.0} | {'precision': 0.9253592953175707, 'recall': 0.9275092936802974, 'f1-score': 0.9264330471106985, 'support': 2152.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 11312.0}                                              | {'precision': 0.8890052356020942, 'recall': 0.9141886854965626, 'f1-score': 0.9014211042143091, 'support': 12073.0} | 0.9090   | {'precision': 0.8773676310287909, 'recall': 0.8697335159074588, 'f1-score': 0.8731921021071313, 'support': 29705.0} | {'precision': 0.9067003936235091, 'recall': 0.9089715536105033, 'f1-score': 0.9075880670651082, 'support': 29705.0} |
+| 0.0015        | 43.0  | 3483 | 0.7570          | {'precision': 0.6914354644149577, 'recall': 0.6876199616122841, 'f1-score': 0.6895224347407675, 'support': 4168.0} | {'precision': 0.9220369535826949, 'recall': 0.9507434944237918, 'f1-score': 0.9361702127659575, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9040571998669771, 'recall': 0.9006874844694773, 'f1-score': 0.9023691962989088, 'support': 12073.0} | 0.9122   | {'precision': 0.8793603059953716, 'recall': 0.8847627351263884, 'f1-score': 0.8820044112276516, 'support': 29705.0} | {'precision': 0.9120285878532032, 'recall': 0.9122369971385289, 'f1-score': 0.9121148336942613, 'support': 29705.0} |
+| 0.0013        | 44.0  | 3564 | 0.7517          | {'precision': 0.6876495931067497, 'recall': 0.689299424184261, 'f1-score': 0.6884735202492213, 'support': 4168.0}  | {'precision': 0.9240969364426155, 'recall': 0.9391263940520446, 'f1-score': 0.9315510486287162, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9038829300740001, 'recall': 0.9004389961070156, 'f1-score': 0.9021576763485477, 'support': 12073.0} | 0.9115   | {'precision': 0.8788852664350555, 'recall': 0.8822162035858303, 'f1-score': 0.8805345115828644, 'support': 29705.0} | {'precision': 0.9115757890749278, 'recall': 0.9115300454468944, 'f1-score': 0.9115470505875514, 'support': 29705.0} |
+| 0.0013        | 45.0  | 3645 | 0.7445          | {'precision': 0.713818479149632, 'recall': 0.628358925143954, 'f1-score': 0.6683679979584024, 'support': 4168.0}   | {'precision': 0.9268518518518518, 'recall': 0.9302973977695167, 'f1-score': 0.9285714285714285, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8871288704927167, 'recall': 0.9231342665451835, 'f1-score': 0.9047735021919143, 'support': 12073.0} | 0.9116   | {'precision': 0.8819277019027643, 'recall': 0.8704476473646635, 'f1-score': 0.8754171824566794, 'support': 29705.0} | {'precision': 0.9086378572002458, 'recall': 0.9115637098131628, 'f1-score': 0.9095732719689872, 'support': 29705.0} |
+| 0.0013        | 46.0  | 3726 | 0.7457          | {'precision': 0.7061894108873975, 'recall': 0.6816218809980806, 'f1-score': 0.693688194359663, 'support': 4168.0}  | {'precision': 0.9259936043855642, 'recall': 0.9419144981412639, 'f1-score': 0.9338862013360976, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9022167487684729, 'recall': 0.9102128716971755, 'f1-score': 0.9061971714839401, 'support': 12073.0} | 0.9146   | {'precision': 0.8835778425395728, 'recall': 0.88343731270913, 'f1-score': 0.8834318420711683, 'support': 29705.0}   | {'precision': 0.9136373875607494, 'recall': 0.9146271671435785, 'f1-score': 0.9140896809557788, 'support': 29705.0} |
+| 0.0013        | 47.0  | 3807 | 0.7466          | {'precision': 0.717948717948718, 'recall': 0.6583493282149712, 'f1-score': 0.6868585732165207, 'support': 4168.0}  | {'precision': 0.9279816513761467, 'recall': 0.9400557620817844, 'f1-score': 0.9339796860572483, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.8955609362389023, 'recall': 0.9190756232916425, 'f1-score': 0.9071659240485632, 'support': 12073.0} | 0.9148   | {'precision': 0.885350727920156, 'recall': 0.8793701783970995, 'f1-score': 0.8819899961068263, 'support': 29705.0}  | {'precision': 0.9127262764442979, 'recall': 0.9148291533411883, 'f1-score': 0.913531898357159, 'support': 29705.0}  |
+| 0.0013        | 48.0  | 3888 | 0.7467          | {'precision': 0.7121250315099571, 'recall': 0.6777831094049904, 'f1-score': 0.6945298094652735, 'support': 4168.0} | {'precision': 0.9271978021978022, 'recall': 0.9409851301115242, 'f1-score': 0.9340405904059041, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9010701740053917, 'recall': 0.9136088793174852, 'f1-score': 0.9072962079460393, 'support': 12073.0} | 0.9154   | {'precision': 0.8850761534575019, 'recall': 0.8830942797085, 'f1-score': 0.8839556022305474, 'support': 29705.0}    | {'precision': 0.914091469477332, 'recall': 0.9154014475677495, 'f1-score': 0.9146656366617318, 'support': 29705.0}  |
+| 0.0013        | 49.0  | 3969 | 0.7450          | {'precision': 0.695160125210691, 'recall': 0.692658349328215, 'f1-score': 0.6939069823338541, 'support': 4168.0}   | {'precision': 0.9298569450853715, 'recall': 0.9363382899628253, 'f1-score': 0.9330863625839315, 'support': 2152.0} | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9042412193505633, 'recall': 0.904166321543941, 'f1-score': 0.9042037688962519, 'support': 12073.0}  | 0.9133   | {'precision': 0.8822924739408706, 'recall': 0.8832907402087453, 'f1-score': 0.8827882287297525, 'support': 29705.0} | {'precision': 0.9131925223805796, 'recall': 0.9133142568591146, 'f1-score': 0.9132522564764188, 'support': 29705.0} |
+| 0.0007        | 50.0  | 4050 | 0.7436          | {'precision': 0.700735294117647, 'recall': 0.6859404990403071, 'f1-score': 0.6932589718719689, 'support': 4168.0}  | {'precision': 0.9293954776188279, 'recall': 0.9358736059479554, 'f1-score': 0.932623292428803, 'support': 2152.0}  | {'precision': 0.9999116061168567, 'recall': 1.0, 'f1-score': 0.9999558011049724, 'support': 11312.0}                | {'precision': 0.9025936599423631, 'recall': 0.9079764764350203, 'f1-score': 0.9052770666446445, 'support': 12073.0} | 0.9139   | {'precision': 0.8831590094489237, 'recall': 0.8824476453558208, 'f1-score': 0.8827787830125972, 'support': 29705.0} | {'precision': 0.9132717427569804, 'recall': 0.9138865510856758, 'f1-score': 0.9135640049745629, 'support': 29705.0} |
 
 
 ### Framework versions