Table 3 The results of the tuning the GB algorithm, and the n_estimators hyper parameter values.
n_estimators | R2 | MAE | MSE |
|---|---|---|---|
50 | 0.645 (0.216) | − 0.996 (0.417) | − 2.510 (3.271) |
100 | 0.709 (0.138) | − 0.915 (0.417) | − 2.352 (3.070) |
150 | 0.704 (0.139) | − 0.902 (0.408) | − 2.326 (2.923) |
250 | 0.871 (0.737) | − 0.982 (0.407) | − 2.303 (2.965) |
300 | 0.704 (0.139) | − 0.902 (0.408) | − 2.326 (2.923) |
350 | 0.703 (0.139) | − 0.902 (0.408) | − 2.326 (2.921) |
400 | 0.703 (0.139) | − 0.902 (0.408) | − 2.326 (2.920) |
45O | 0.703 (0.139) | − 0.902 (0.407) | − 2.326 (2.919) |
500 | 0.703 (0.139) | − 0.902 (0.408) | − 2.326 (2.919) |
