Machine Learning1 회귀 모델 성능 평가 방법 Contents Characteristics 1.1. Log & Root function의 특징 1.2. Squared Error Regression Performance Indicators 2.1. R²(R Square) 2.2. MAE (Mean Absolute Error) 2.3. MAPE (Mean Absolute Percentage Error) 2.4. MSE (Mean Squared Error) 2.5. RMSE (Root Mean Squared Error) 2.6. MSLE (Mean Squared Log Error) 2.7. RMSLE (Root Mean Squared Log Error) Conclusion Annotation $x$ : observed $y$ : predicted $n$ .. 2021. 5. 25. Previous 1 Next
