mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and
the Best Threshold
The MCC-F1 analysis is a method to evaluate the performance of binary classifications.
The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth.
The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.
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