Artificial Intelligence, Data Science, Machine Learning, Technology, Programming.
multilabel dataset with 5 feature"s and 4 possible labels X, y = make_multilabel_classification(n_samples=1000, n_features=5, n_classes=4, n_labels=3, random_state=42) # Splitting the dataset into train and test sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,