regression #msle #rmse #r2 #rsquare #error #mae #mape #mse #rmse #rmsle #회귀 #모델 #회귀모델 #분석 #머신러닝 #machine #learning #머신 #러닝 #ml #오차 #잔차 #kpi #performance #indicator #성능 #평가 #성능평가 #예측 #관측 #1 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
