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precision recall f1-score support |
|
|
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0 0.89 0.97 0.92 88 |
|
1 0.89 0.86 0.87 36 |
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2 0.92 0.94 0.93 35 |
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3 0.91 0.89 0.90 35 |
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4 0.85 0.88 0.87 26 |
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5 0.00 0.00 0.00 1 |
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6 0.66 0.86 0.75 43 |
|
7 1.00 0.25 0.40 4 |
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8 1.00 0.78 0.88 18 |
|
9 0.97 0.90 0.94 72 |
|
10 0.97 1.00 0.99 39 |
|
11 0.75 1.00 0.86 15 |
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12 0.68 0.56 0.61 169 |
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13 0.97 0.96 0.96 156 |
|
14 0.83 0.77 0.80 13 |
|
15 0.56 0.75 0.64 12 |
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16 0.83 0.86 0.84 22 |
|
17 0.81 0.85 0.83 26 |
|
18 0.81 0.96 0.88 27 |
|
19 0.87 0.87 0.87 31 |
|
20 0.82 0.78 0.80 41 |
|
21 0.88 0.72 0.79 39 |
|
22 0.71 0.92 0.80 124 |
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23 1.00 0.85 0.92 34 |
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24 1.00 0.80 0.89 10 |
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25 1.00 1.00 1.00 19 |
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26 0.94 0.84 0.89 57 |
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27 0.90 0.72 0.80 25 |
|
28 0.43 0.50 0.46 6 |
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29 1.00 0.50 0.67 6 |
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30 0.93 0.97 0.95 67 |
|
31 0.90 0.90 0.90 21 |
|
32 0.72 0.82 0.77 126 |
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33 0.94 0.92 0.93 114 |
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34 0.96 0.88 0.92 26 |
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35 0.91 0.91 0.91 11 |
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36 0.77 0.88 0.82 72 |
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37 0.00 0.00 0.00 0 |
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38 1.00 0.53 0.70 15 |
|
39 0.88 0.88 0.88 25 |
|
40 0.93 0.95 0.94 43 |
|
41 0.00 0.00 0.00 3 |
|
42 0.89 0.78 0.83 51 |
|
43 0.88 0.83 0.86 36 |
|
44 0.96 0.93 0.94 119 |
|
45 0.87 0.93 0.90 176 |
|
46 0.86 0.97 0.91 32 |
|
47 0.94 0.91 0.93 81 |
|
48 0.95 0.95 0.95 41 |
|
49 0.77 0.78 0.78 141 |
|
50 0.98 0.91 0.94 209 |
|
51 0.97 0.94 0.96 35 |
|
52 1.00 1.00 1.00 21 |
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53 0.92 0.90 0.91 52 |
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54 0.92 0.96 0.94 23 |
|
55 0.67 0.80 0.73 20 |
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56 1.00 0.97 0.99 36 |
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57 0.94 0.83 0.88 35 |
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58 0.92 0.76 0.83 63 |
|
59 0.77 0.86 0.81 51 |
|
|
|
accuracy 0.87 2974 |
|
macro avg 0.83 0.80 0.81 2974 |
|
weighted avg 0.87 0.87 0.87 2974 |
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|
|
Confusion matrix: |
|
[[85 0 0 ... 0 0 0] |
|
[ 0 31 0 ... 0 0 0] |
|
[ 0 0 33 ... 0 0 0] |
|
... |
|
[ 0 0 0 ... 29 0 0] |
|
[ 0 0 0 ... 0 48 0] |
|
[ 0 0 0 ... 0 1 44]] |