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README.md
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| | Train | Validation | Test|
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## Evaluation
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| | Precision | Recall | F-score |
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* Overall weighted-average model performances
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| | Precision | Recall | F-score |
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* Model performances (Test set)
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| | Precision | Recall | F-score | Support |
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| | Train | Validation | Test|
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| Ville | 3786 | 811 | 811 |
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| Île | 543 | 116 | 117 |
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| Rivière | 342 | 73 | 74 |
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| Région | 329 | 70 | 71 |
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| Montagne | 138 | 29 | 30 |
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| Pays | 64 | 14 | 13 |
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| Mer | 57 | 13 | 12 |
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| Autre | 55 | 12 | 12 |
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| ConstructionHumaine | 43 | 10 | 9 |
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| Lac | 44 | 9 | 9 |
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## Evaluation
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| | Precision | Recall | F-score |
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|0.94 | 0.92 | 0.92 | 1158|
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* Overall weighted-average model performances
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| | Precision | Recall | F-score |
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|0.99 | 0.99 | 0.99 | 1158|
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* Model performances (Test set)
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| | Precision | Recall | F-score | Support |
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|---|:---:|:---:|:---:|:---:|
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| Ville | 0.99 | 1.00 | 1.00 | 811|
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| Île | 0.99 | 0.98 | 0.99 | 117|
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| Rivière | 1.00 | 0.99 | 0.99 | 74|
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| Région | 0.97 | 0.94 | 0.96 | 71|
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| Montagne | 0.97 | 0.97 | 0.97 | 30|
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| Pays | 0.87 | 1.00 | 0.93 | 13|
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| Mer | 1.00 | 1.00 | 1.00 | 12|
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| Autre | 0.60 | 0.75 | 0.67 | 12|
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|ConstructionHumaine | 1.00 | 0.67 | 0.80 | 9|
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| Lac | 1.00 | 0.89 | 0.94 | 9|
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