Accuracy, Machine Learning, Performance, Mathematics, Model.
When F1 score is 1 it’s best and on 0 it’s worst. F1 = 2 * (precision * recall) / (precision + recall) Precision and Recall should always be high. References: sklearn.metrics.f1_score - scikit-learn 0.22.1 documentation scikit-learn: machine learning in Pythonscikit-learn.org