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I tried KNN,MLP,SVR,GBM,RF All of KNN, MLP, SVR, and GBM gave close results between the training and testing (no overfitting) On the other hand, the

I tried KNN,MLP,SVR,GBM,RF

All of KNN, MLP, SVR, and GBM gave close results between the training and testing (no overfitting)

On the other hand, the RF gave a huge variety between the training and the testing (there is overfitting).

The problem is that even with this huge variety, the best test set is the RF!!!

How to explain this ?

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