Artificial Intelligence, Machine Learning, Math, Computer Science, Software Engineering.
random_state=42) Next, we initialize an instance of the RandomForestClassifier class. rf = RandomForestClassifier(random_state=42) We fit our model to the training set. rf.fit(X_train, y_train) Finally, we use our model to predict whether a transaction is fraudulent given what it has learnt. y_pred