Linganisha mbinu

	Matriki ya Kuchanganyikiwa	Kiwango cha Uwiano cha Matthews
Nyanja	Tathmini ya Modeli	Tathmini ya Modeli
Familia	MCDM	MCDM
Mwaka wa asili	20th century	1975
Mwanzilishi	Statistical foundations	Brian W. Matthews
Aina	Evaluation visualization	Evaluation metric
Chanzo asilia	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.
Majina mbadala	Error Matrix, Contingency Table	Phi Coefficient, Binary Classification Correlation
Zinazohusiana	5	5
Muhtasari	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.