Question

A data scientist trains a scikit-learn RandomForestClassifier inside an MLflow run with autologging enabled. After training completes, they open the run in the MLflow UI and want to confirm which value was logged as a parameter versus a metric. Which of the following was recorded as a parameter (not a metric) by MLflow autologging?

Accepted Answer

n_estimators, the number of trees specified when constructing the model

Answer

training_accuracy_score computed on the training data

Answer

training_f1_score computed on the training data

Answer

training_log_loss computed on the training data