33 lines
2.0 KiB
Markdown
33 lines
2.0 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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| LightGBM_Balanced | 0.185841 | 0.284595 | 0.185841 | 0.147651 | estimators:300, depth:-1 |
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| RandomForest_RealData | 0.274336 | 0.330072 | 0.274336 | 0.215733 | estimators:100, depth:15 |
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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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