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.
[email protected] low health (49/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-mccf1First published · 2020-08-14 12:28:45.156000+00:00
Last updated · 2025-09-23 11:25:40.944000+00:00