This documentation is for scikit-learn version 0.11-gitOther versions


If you use the software, please consider citing scikit-learn.

This page

8.8.9. sklearn.feature_selection.f_classif

sklearn.feature_selection.f_classif(X, y)

Compute the Anova F-value for the provided sample

Parameters :

X : array of shape (n_samples, n_features)

the set of regressors sthat will tested sequentially

y : array of shape(n_samples)

the data matrix

Returns :

F : array of shape (m),

the set of F values

pval : array of shape(m),

the set of p-values