feat: implement comprehensive land cover classification pipeline with model benchmarking and experiment logging
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🚀 BẮT ĐẦU HUẤN LUYỆN MÔ HÌNH DECISION TREE (GPU & CACHE)
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Initializing FeatureExtractor (mode=extended)...
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📦 Đang load cache: training_data_507bd2ba4ec0d3fe107839cbf73a7a7d.joblib...
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✅ Loaded 632 samples từ cache!
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⚡ Đã bỏ qua download위성 data (tiết kiệm thời gian)
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[CACHE HIT] Using cached dataset with 632 samples
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Training DECISION_TREE model...
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Evaluating model...
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Generating classification report...
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Saving model...
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[MODEL MANAGER] Saving model to: model_train/model_decision_tree_auto.joblib
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[MODEL MANAGER] Saving metadata to: model_train/model_decision_tree_auto_info.json
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[MODEL MANAGER] Model saved successfully!
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Training complete!
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✅ Hoàn thành! Accuracy: 0.5906
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