908 B
908 B
| 1 | Model | Train_MAE | Train_RMSE | Train_R2 | Val_MAE | Val_RMSE | Val_R2 |
|---|---|---|---|---|---|---|---|
| 2 | Mean Baseline | 3.956762233641091 | 6.008718072893705 | 0.0 | 5.108172961558765 | 9.743328619259394 | 0.0 |
| 3 | Linear Regression | 2.8487431324413386 | 4.306219455232728 | 0.48639568660771626 | 4.93124960105569 | 10.131361272284664 | -0.0820337223062475 |
| 4 | Decision Tree | 1.4165098388571058 | 2.927374540160555 | 0.7626479824388336 | 3.384117292326248 | 7.458279107629457 | 0.41361553592413347 |
| 5 | Random Forest | 1.5188249096595474 | 2.651411767397892 | 0.8052889029203236 | 3.557118610267275 | 8.094827409344068 | 0.3092508183789415 |
| 6 | Gradient Boosting | 0.5002223075020469 | 1.163143548193567 | 0.9625283361855776 | 3.0356483741790528 | 7.556467123302565 | 0.39807443890459426 |
| 7 | XGBoost | 0.5888747572898865 | 1.2343001041144357 | 0.9578033685684204 | 3.2599263191223145 | 8.016751870107681 | 0.3225112557411194 |
| 8 | LightGBM | 1.527799546634308 | 2.6791994654613362 | 0.8011862391495337 | 3.602681095009421 | 8.17893904810045 | 0.29482138206791697 |