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Is Random forest regression is a good method to approach this problem? Overall, decision trees tend not to be good regressors. But it can be that for your case it is working well. You need to evaluate the results corresponding to a metric and then compare different models. I like MAE in regression models because it's very intuitive. How can I improve the ...


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If you must select features in this way, the traditional method is to pick the number of top features that you want to obtain, instead of a threshold. Normally this kind of feature selection is done only when there too many features with respect to the number of instances. This is why one tries to guess what would be a reasonable number of features $n$, then ...


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You can not feed your network with two inputs with different number of samples, and this also does not make sense. You have 2 inputs with shape (502,) and (1002,) (You have said you want to extract features also from your second dataset). Let's consider the batch size is 1 for the sake of simplicity. So the model takes one sample each time to move it through ...


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