What should be the criteria to select features using correlation factors between features?
58709
How to further improve the kaggle titanic submission accuracy?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
25535
Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
26034
Choosing variables to include in a multiple linear regression model
9621
Bound for the correlation of three random variables
110802
Model selection with low N?
123072
Three versions of discriminant analysis: differences and how to use them
101622
Choosing number of principal components to retain
19603
Conflicting approaches to variable selection: AIC, p-values or both?
47428
Can a random forest be used for feature selection in multiple linear regression?
126595
Does feature selection help improve the performance of machine learning?
156676
How to compare features and classifiers which achieve perfect accuracy?
45349
Why is variable selection necessary?
39839
Doing principal component analysis or factor analysis on binary data
81918
Multicollinearity in Decision Tree
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
130037
correlation between categorical variables