🤖 Earth AI Models Training Center
🧠 Advanced Machine Learning Model Development & Evaluation
🚀 Best Trained Models (Climatic Drought Detection)
MVP: Random Forest - Superior Performance
🥇 Random Forest - MVP
🎯 Accuracy:
93% (Industry Leading)
🔍 F1 Score:
91% (Excellent Balance)
🎯 Precision:
92% (High Reliability)
🔄 Recall:
90% (Comprehensive Detection)
💪 Robustness:
Excellent (Noise Resistant)
📊 Interpretability:
High (Feature Importance Clear)
🏆 Other Trained Models:
🥈 XGBoost:
91% Acc | 89% F1 | 89% Prec | 88% Rec
🥉 LightGBM:
90% Acc | 88% F1 | 87% Prec | 89% Rec
🔹 CatBoost:
89% Acc | 87% F1 | 88% Prec | 86% Rec
📈 Logistic Regression:
85% Acc | 83% F1 | 84% Prec | 82% Rec
🔍 SVM:
87% Acc | 85% F1 | 86% Prec | 84% Rec
👥 KNN:
82% Acc | 80% F1 | 81% Prec | 79% Rec
🧠 MLP Neural Network: