Unbalanced classification using RandomForestClassifier in sklearn

Question

I have a dataset where the classes are unbalanced. The classes are either \'1\' or \'0\' where the ratio of class \'1\':\'0\' is 5:1. How do you calculate the prediction e

Answer 1

Use the parameter class_weight='balanced'

From sklearn documentation: The balanced mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y))