The example under uses RFE With all the logistic regression algorithm to pick the highest 3 attributes. The selection of algorithm would not matter an excessive amount as long as it truly is skillful and constant.
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What I recognize is the fact that in attribute range strategies, the label information and facts is commonly useful for guiding the seek for a fantastic aspect subset, but in one-class classification troubles, all schooling information belong to only one course. For that motive, I used to be looking for aspect collection implementations for a person-class classification.
However, The 2 other techniques don’t have exact prime three functions? Are some techniques additional trustworthy than Other people? Or does this appear right down to area know-how?
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Your code is right and my result is the same as yours. My position is that the best features identified with RFE are preg, mass and pedi.
Essentially I used to be not able to be familiar with the output of chi^two for attribute variety. The problem is solved now.
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