predict_caLamviec_nhansu/phase2_output/data/phase1_vs_phase2_comparison...

1.0 KiB

1ModelPhase1_R2Phase2_R2R2_ImprovementR2_Improvement_%Phase1_MAEPhase2_MAEMAE_ImprovementMAE_Improvement_%
2Decision Tree0.41360.3338628951823436-0.07973710481765645-19.2787971029153.38412.5524723036819810.831627696318018924.574560335628938
3Random Forest0.30930.25211278591011277-0.05718721408988725-18.4892383090485743.55712.83883991120886270.718260088791137520.192293969557713
4Gradient Boosting0.39810.19174209143191168-0.20635790856808833-51.8356967013535053.03562.76435392792316660.27124607207683358.935501122573248
5XGBoost0.32250.1542147397994995-0.1682852602005005-52.1814760311629443.25992.74877142906188960.511128570938110415.679271478821754
6LightGBM0.29480.0008987806527034348-0.29390121934729657-99.695121895283783.60273.21007769404394640.3926223059560536310.898001664197785
7Baseline0.00.00.00.05.10823.7132492465676981.39495075343230227.30806846701973
8Linear Regression-0.082-0.4160644772969122-0.3340644772969122-407.395704020624634.93134.3487844793288650.582515520671135411.812615753881033