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use sample weights fit model multiclass

from sklearn.utils import class_weight


class_weights = class_weight.compute_class_weight('balanced',
                                                 np.unique(y_train),
                                                 y_train)


model.fit(X_train, y_train, class_weight=class_weights)
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