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Regression with Random Forest ?
I'm doing regression with 480 input features. I tried to use Deep Learning operator but the training Root Mean Square Error is still quite high. Now I'm trying to use Random Forest because of its Random Subspace approach, but found that the Random Forest operator cannot handle numerical label. How can I deal with this?
Thank you very much for your support.