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	Matriks Kebingungan	Koefisien Korelasi Matthews
Bidang	Penilaian Model	Penilaian Model
Keluarga	MCDM	MCDM
Tahun asal	20th century	1975
Pengasas	Statistical foundations	Brian W. Matthews
Jenis	Evaluation visualization	Evaluation metric
Sumber perintis	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.	Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451.
Alias	Error Matrix, Contingency Table	Phi Coefficient, Binary Classification Correlation
Berkaitan	5	5
Ringkasan	The confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.	The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets.