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