Task: evaluate
Training on train, Test on test, feature set ['example_iris_features'] ...
	featurizing and training new RandomForestClassifier model
	best f1_score_micro grid search score: 0.93
	hyperparameters: bootstrap: True, class_weight: None, criterion: gini, max_depth: 5, max_features: auto, max_leaf_nodes: None, min_impurity_decrease: 0.0, min_impurity_split: None, min_samples_leaf: 1, min_samples_split: 2, min_weight_fraction_leaf: 0.0, n_estimators: 500, n_jobs: 1, oob_score: False, random_state: 123456789, verbose: 0, warm_start: False
	evaluating predictions
