Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
the model model = RandomForestClassifier(n_estimators=n_estimators, random_state=42) model.fit(X_train, y_train) # Evaluate the model y_pred = model.predict(X_test) accuracy = accuracy_score(y_test, y_pred) # Log the model and metrics mlflow.log_param("n_estimators", n_estimators)