Suppose that we have binary features (+1 and -1 or 0 and 1). We have some well-knows feature selection techniques like Information Gain, t-test, f-test, Symmetrical uncertainty, Correlation-based feature selection(CFS), Mutual information, Chi-square,Balanced Mutual information` etc. Can we use these types of feature selection techniques for binary features or these are only suitable for continues data? What are your recommended techniques for this special type of feature selection?
Hello,
One example for binary dependent variable would be logistic regression.
The other one would be linear regression and then binary variable accompanied with continuous variables could be a predictor of the dependent continuous variable.
Regards, Witold
Hello again,
You may also calculate frequencies using descriptive statistics.
Witold
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