Timeline for Radial basis function for increasing data
Current License: CC BY-SA 4.0
2 events
| when toggle format | what | by | license | comment | |
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| May 27 at 22:36 | comment | added | Erfan Mollai | Thank you very much. Honestly, R2 in the test and training set are close to each other, and in fact, both are 0.99, which shows that there is no overfit, but in some models, such as xgboost or decision tree regression, there is a huge difference between the RMSE metrics. , MSE, MAE gives the test and training set, which indicates overfit | |
| May 27 at 2:45 | history | answered | eliangius | CC BY-SA 4.0 |