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| TWITTER Bot Detection Model - Performance Report | |
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| Date: 2025-11-27 12:08:54.462391 | |
| Training Configuration: | |
| - Platform: twitter | |
| - Train samples: 29951 | |
| - Test samples: 7487 | |
| - Features: 12 | |
| - CV Folds: 5 | |
| - Random State: 42 | |
| Best Hyperparameters: | |
| - class_weight: balanced | |
| - max_depth: 20 | |
| - max_features: sqrt | |
| - min_samples_leaf: 1 | |
| - min_samples_split: 2 | |
| - n_estimators: 300 | |
| Performance Metrics (Test Set): | |
| - Accuracy: 0.8771 | |
| - Precision: 0.8595 | |
| - Recall: 0.7558 | |
| - F1: 0.8043 | |
| - Roc_auc: 0.9354 | |
| - Avg_precision: 0.9008 | |
| Cross-Validation Results: | |
| - Mean ROC-AUC: 0.9352 | |
| Feature Importance (Top 5): | |
| - followers_count: 0.1895 | |
| - favourites_count: 0.1813 | |
| - friends_count: 0.1494 | |
| - statuses_count: 0.1244 | |
| - account_age_days: 0.1010 | |