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	कन्फ्यूजन मैट्रिक्स	मैट्यूज़ सहसंबंध गुणांक (Matthews Correlation Coefficient)
क्षेत्र	मॉडल मूल्यांकन	मॉडल मूल्यांकन
परिवार	MCDM	MCDM
उद्भव वर्ष	20th century	1975
प्रवर्तक	Statistical foundations	Brian W. Matthews
प्रकार	Evaluation visualization	Evaluation metric
मौलिक स्रोत	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.
उपनाम	Error Matrix, Contingency Table	Phi Coefficient, Binary Classification Correlation
संबंधित	5	5
सारांश	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.