905 B
905 B
| 1 | Model | Train_R2 | Train_MAE | Train_RMSE | Val_R2 | Val_MAE | Val_RMSE |
|---|---|---|---|---|---|---|---|
| 2 | Decision Tree | 0.7409683883839024 | 2.0122070931759515 | 3.6656706322935677 | 0.3338628951823436 | 2.552472303681981 | 4.257919838268628 |
| 3 | Random Forest | 0.7338910880089801 | 2.083618467797101 | 3.7154101741974097 | 0.25211278591011277 | 2.8388399112088627 | 4.5116325639175505 |
| 4 | Gradient Boosting | 0.8736624534770011 | 1.0784509022390272 | 2.5600195134408104 | 0.19174209143191168 | 2.7643539279231666 | 4.690192304020972 |
| 5 | XGBoost | 0.8657979965209961 | 1.2728514671325684 | 2.6384963987382632 | 0.1542147397994995 | 2.7487714290618896 | 4.797839735603935 |
| 6 | LightGBM | 0.6969634353255707 | 2.180260561406943 | 3.96483002350704 | 0.0008987806527034348 | 3.2100776940439464 | 5.214592946365383 |
| 7 | Baseline | 0.0 | 4.48356700710001 | 7.202397002051521 | 0.0 | 3.713249246567698 | 5.27320508287812 |
| 8 | Linear Regression | 0.610783151514886 | 2.897917761538457 | 4.493377147911575 | -0.4160644772969122 | 4.348784479328865 | 6.2080782527107505 |