3 votes
Accepted

Usefulness of KS tests and other similar distribution comparing tests

This is one of those ideas that starts out sounding great but winds up being less helpful than one might hope. For instance, just because KS (or a similar test) says that the feature has a different ...
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1 vote

Is it normal for simple logistic regression to significantly outperform any other statistical ML algorithm?

My informal answer is that maximum likelihood estimation, the method behind logistic regression, finds the set of parameters that fit the data the best given some assumptions. If your dataset ...
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  • 3,110
1 vote

Tensor Classification Models

You can flatten the tensor and run the usual machine learning methods on the vector: random forest, kNN, SVM, logistic regression, multilayer perceptron neural networks, etc. This has been done for $2$...
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