Table 4 K-Fold study performed for all ML models.
Model | MSE | RMSE | MAE | MAPE | R2 | Number of folds |
|---|---|---|---|---|---|---|
Linear Regression | 188415.38 | 434.07 | 335.28 | 8.64 | 0.81 | 2 |
Gradient Boosting | 255052.04 | 505.03 | 362.82 | 9.81 | 0.75 | 2 |
AdaBoost | 271540.33 | 521.10 | 361.69 | 9.95 | 0.73 | 2 |
Linear Regression | 174700.57 | 417.97 | 314.34 | 8.05 | 0.83 | 3 |
Gradient Boosting | 240544.01 | 490.45 | 319.16 | 8.63 | 0.76 | 3 |
AdaBoost | 332477.19 | 576.61 | 352.92 | 9.45 | 0.67 | 3 |
Linear Regression | 187830.23 | 433.39 | 325.02 | 8.34 | 0.81 | 5 |
Gradient Boosting | 177329.34 | 421.10 | 258.55 | 6.70 | 0.82 | 5 |
AdaBoost | 264542.67 | 514.34 | 311.05 | 7.98 | 0.74 | 5 |
Linear Regression | 187530.01 | 433.05 | 326.15 | 8.33 | 0.81 | 10 |
Gradient Boosting | 178226.22 | 422.17 | 252.92 | 6.72 | 0.82 | 10 |
AdaBoost | 216532.59 | 465.33 | 248.08 | 6.60 | 0.79 | 10 |
Linear Regression | 184273.87 | 429.27 | 322.80 | 8.29 | 0.82 | 20 |
Gradient Boosting | 177208.49 | 420.96 | 252.26 | 6.74 | 0.83 | 20 |
AdaBoost | 254190.28 | 504.17 | 273.72 | 7.22 | 0.75 | 20 |
