Conduct Pearson's independence test for every feature against the label. For each feature, the (feature, label) pairs are converted into a contingency matrix for which the Chi-squared statistic is computed. All label and feature values must be categorical.
ml_chisquare_test(x, features, label)
The name(s) of the feature columns. This can also be the name
of a single vector column created using
The name of the label column.
A data frame with one row for each (feature, label) pair with p-values, degrees of freedom, and test statistics.