The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation - Chicco, Davide; Jurman, Giuseppe (BMC genomics, 2020)
Keywords: Accuracy; Algorithms; Analysis; Animal Genetics and Genomics; Binary classification; Biomedical and Life Sciences; Biostatistics; Business metrics; Classification; Comparative and evolutionary genomics; Computational Biology - statistics & numerical data; Confusion; Confusion matrices; Correlation coefficient; Correlation coefficients; Correlation of Data; Data Interpretation, Statistical; Datasets; Evaluation; F1 score; Gene expression; Genomics; Learning algorithms; Life Sciences; Machine learning; Machine Learning - statistics & numerical data; Mathematical analysis; Matrix methods; Matthews correlation coefficient; Microarrays; Microbial Genetics and Genomics; Plant Genetics and Genomics; Proteomics; Research Article; Researchers; Statistics; score; Biostatistics; Accuracy; Dataset imbalance; Confusion matrices; F; Genomics; Matthews correlation coefficient; Machine learning; Binary classification; F1 score