4. Classification

4.1. Unbalance Dataset

4.1.1. Multiclasse Classification

• Sklearn utils

from sklearn.utils import class_weight
class_weight = class_weight.compute_class_weight('balanced,
                                                 np.unique(y_train),
                                                 y_train)
model = LogisticRegression(class_weight = class_weight)
model.fit(X_train, y_train)

• Counts to Length. #(TODO : fill when used)

• Smoothen Weights. #(TODO : fill when used)

• Sample Weight Strategy, for XGBoost #(TODO : fill when used)