Model free feature screening with dependent variable in ultrahigh dimensional binary classification

The feature screening procedure based on the expected conditional Kolmogorov filter is proposed for the ultrahigh dimensional binary classification problem with dependent variable. The sure screening and ranking consistency properties are established. Some numerical examples are also presented.