Update README.md
Browse files
README.md
CHANGED
|
@@ -1,4 +1,69 @@
|
|
| 1 |
---
|
| 2 |
datasets:
|
| 3 |
- marcelomoreno26/geoguessr
|
| 4 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
datasets:
|
| 3 |
- marcelomoreno26/geoguessr
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
```py
|
| 7 |
+
Classification Report:
|
| 8 |
+
precision recall f1-score support
|
| 9 |
+
|
| 10 |
+
Argentina 0.5292 0.5083 0.5185 482
|
| 11 |
+
Australia 0.7850 0.8146 0.7995 1192
|
| 12 |
+
Austria 0.6199 0.4380 0.5133 242
|
| 13 |
+
Bangladesh 0.4583 0.1486 0.2245 74
|
| 14 |
+
Belgium 0.2500 0.0065 0.0127 153
|
| 15 |
+
Bolivia 0.0000 0.0000 0.0000 81
|
| 16 |
+
Botswana 0.5263 0.2000 0.2899 100
|
| 17 |
+
Brazil 0.6562 0.8356 0.7351 1624
|
| 18 |
+
Bulgaria 0.5091 0.3709 0.4291 151
|
| 19 |
+
Cambodia 0.0000 0.0000 0.0000 82
|
| 20 |
+
Canada 0.7464 0.7973 0.7710 967
|
| 21 |
+
Chile 0.5000 0.1360 0.2138 228
|
| 22 |
+
Colombia 0.3191 0.0857 0.1351 175
|
| 23 |
+
Croatia 0.6667 0.0222 0.0430 90
|
| 24 |
+
Czechia 0.5000 0.0335 0.0628 179
|
| 25 |
+
Denmark 0.0000 0.0000 0.0000 138
|
| 26 |
+
Finland 0.6609 0.8338 0.7373 734
|
| 27 |
+
France 0.6129 0.7913 0.6908 2501
|
| 28 |
+
Germany 0.7943 0.8627 0.8271 488
|
| 29 |
+
Ghana 0.4706 0.1081 0.1758 74
|
| 30 |
+
Greece 0.3684 0.0809 0.1327 173
|
| 31 |
+
Hungary 0.5000 0.0342 0.0640 117
|
| 32 |
+
India 0.8261 0.5089 0.6298 112
|
| 33 |
+
Indonesia 0.6211 0.2935 0.3986 201
|
| 34 |
+
Ireland 0.6316 0.0591 0.1081 203
|
| 35 |
+
Israel 0.5427 0.5570 0.5498 228
|
| 36 |
+
Italy 0.4092 0.2736 0.3279 552
|
| 37 |
+
Japan 0.7996 0.9632 0.8738 2688
|
| 38 |
+
Kenya 0.4359 0.1868 0.2615 91
|
| 39 |
+
Latvia 0.0000 0.0000 0.0000 81
|
| 40 |
+
Lithuania 0.0000 0.0000 0.0000 98
|
| 41 |
+
Malaysia 0.5413 0.3986 0.4591 296
|
| 42 |
+
Mexico 0.4721 0.4571 0.4645 630
|
| 43 |
+
Netherlands 0.5101 0.3753 0.4324 405
|
| 44 |
+
New Zealand 0.6910 0.5116 0.5879 389
|
| 45 |
+
Nigeria 0.4000 0.3488 0.3727 86
|
| 46 |
+
Norway 0.7384 0.7055 0.7216 472
|
| 47 |
+
Peru 0.5000 0.3016 0.3762 189
|
| 48 |
+
Philippines 0.5217 0.1569 0.2412 153
|
| 49 |
+
Poland 0.5122 0.6275 0.5640 604
|
| 50 |
+
Portugal 0.2000 0.0059 0.0115 169
|
| 51 |
+
Romania 0.4167 0.3512 0.3812 242
|
| 52 |
+
Russia 0.6232 0.7946 0.6985 1232
|
| 53 |
+
Singapore 0.7339 0.9211 0.8169 494
|
| 54 |
+
Slovakia 0.0000 0.0000 0.0000 75
|
| 55 |
+
South Africa 0.7535 0.7717 0.7625 828
|
| 56 |
+
South Korea 0.5478 0.5059 0.5260 170
|
| 57 |
+
Spain 0.4589 0.5492 0.5000 752
|
| 58 |
+
Sweden 0.5311 0.3701 0.4362 508
|
| 59 |
+
Switzerland 1.0000 0.0165 0.0325 121
|
| 60 |
+
Taiwan 0.6029 0.4293 0.5015 382
|
| 61 |
+
Thailand 0.5309 0.7939 0.6363 660
|
| 62 |
+
Turkey 0.4872 0.2032 0.2868 187
|
| 63 |
+
Ukraine 0.0000 0.0000 0.0000 79
|
| 64 |
+
United Kingdom 0.6792 0.8746 0.7646 1738
|
| 65 |
+
|
| 66 |
+
accuracy 0.6485 25160
|
| 67 |
+
macro avg 0.4944 0.3713 0.3836 25160
|
| 68 |
+
weighted avg 0.6147 0.6485 0.6106 25160
|
| 69 |
+
```
|