55 lines
4.3 KiB
Markdown
55 lines
4.3 KiB
Markdown
📊 BẢNG SO SÁNH KẾT QUẢ CÁC MÔ HÌNH
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### 1. Nhóm Phân loại Lớp phủ (Land Classification)
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| Model | Accuracy | Precision | Recall | F1-Score | Parameters |
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|-----------------------|------------|-------------|----------|------------|---------------------------|
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| XGBoost | 0.287611 | 0.353394 | 0.287611 | 0.234607 | estimators:200, depth:6 |
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| swin-unet | 0.724771 | 0.536633 | 0.59274 | 0.562804 | N/A |
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| swin-unet | 0.600917 | 0.569649 | 0.590866 | 0.564547 | N/A |
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| cnn | 0.507812 | 0.490742 | 0.474017 | 0.452274 | N/A |
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| swin-unet | 0.732283 | 0.722509 | 0.677869 | 0.660619 | estimators:500, depth:256 |
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| swin-unet | 0.203791 | 0.130717 | 0.167561 | 0.126147 | N/A |
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| LightGBM_Balanced | 0.185841 | 0.284595 | 0.185841 | 0.147651 | estimators:300, depth:-1 |
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| svm | 0.582677 | 0.441728 | 0.464997 | 0.433273 | N/A |
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| random_forest | 0.614173 | 0.503912 | 0.522185 | 0.509931 | N/A |
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| swin-unet | 0.724771 | 0.536905 | 0.59274 | 0.562949 | N/A |
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| swin-unet | 0.724771 | 0.537078 | 0.59274 | 0.562875 | N/A |
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| xgboost | 0.274336 | 0.297502 | 0.203779 | 0.146772 | N/A |
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| swin-unet | 0.720183 | 0.533799 | 0.589064 | 0.559531 | N/A |
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| xgboost | 0.637795 | 0.5391 | 0.546491 | 0.538521 | N/A |
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| swin-unet | 0.706422 | 0.523141 | 0.574641 | 0.547069 | N/A |
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| random_forest | 0.376106 | | | | N/A |
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| swin-unet | 0.234375 | 0.0334821 | 0.142857 | 0.0542495 | N/A |
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| xgboost | 0.578125 | 0.568048 | 0.534613 | 0.541406 | N/A |
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| mobilenet-lraspp | 0.566929 | 0.543959 | 0.52518 | 0.477603 | N/A |
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| cnn | 0.574803 | 0.476253 | 0.454007 | 0.400213 | N/A |
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| xgboost | 0.756881 | 0.712478 | 0.700939 | 0.704615 | N/A |
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| mobilenet-lraspp | 0.692661 | 0.65895 | 0.691875 | 0.650169 | N/A |
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| RandomForest_RealData | 0.274336 | 0.330072 | 0.274336 | 0.215733 | estimators:100, depth:15 |
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| decision_tree | 0.590551 | 0.604639 | 0.613393 | 0.607498 | N/A |
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| lightgbm | 0.598425 | 0.479595 | 0.507168 | 0.488216 | N/A |
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### 2. Nhóm Xóa mây (Cloud Removal)
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| Model | Epochs | Train Loss | Val Loss |
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|-------------------------------------|----------|--------------|------------|
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| SwinUNet_Cloud_Removal | 100 | 0.008 | 0.009 |
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| CNN_Cloud_Removal | 50 | 0.015 | 0.012 |
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| SwinUNet_Cloud_Removal_RealData_GPU | 1 | 0.157653 | 0.157653 |
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### 3. Nhóm Dự báo Thực vật (NDVI Forecasting)
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| Model | RMSE | MAE | Epochs |
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|---------------------------------------------|-----------|-------------|----------|
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| LSTM Time Series (Real Data & GPU) | 0.299411 | 0.0896472 | 50 |
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| Hybrid Physics-ML (DSSAT/WOFOST) | 0.018 | 0.012 | N/A |
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| Multi-Model Ensemble (Real Data & CPU) | 0.119913 | 0.0936021 | N/A |
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| LSTM/GRU Time Series | 0.03 | 0.025 | 200 |
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| Statistical (SARIMA) | 0.05 | 0.04 | N/A |
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| ConvLSTM Spatial-Temporal | 0.02 | 0.015 | 100 |
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| ConvLSTM Spatial-Temporal (Real Data & GPU) | 0.312591 | 0.0977133 | 20 |
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| Hybrid Physics-ML (Real Data & GPU) | 0.0010379 | 0.000608871 | N/A |
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| Multi-Model Ensemble | 0.015 | 0.01 | N/A |
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