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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