পদ্ধতির তুলনা করুন

	বিভ্রান্তি ম্যাট্রিক্স	F1-স্কোর	নির্ভুলতা
ক্ষেত্র	মডেল মূল্যায়ন	মডেল মূল্যায়ন	মডেল মূল্যায়ন
পরিবার	MCDM	MCDM	MCDM
উদ্ভবের বছর	20th century	1979	20th century
প্রবর্তক	Statistical foundations	C. J. van Rijsbergen	Historical statistical foundations
ধরন	Evaluation visualization	Evaluation metric	Evaluation metric
মৌলিক উৎস	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
অপর নাম	Error Matrix, Contingency Table	F-measure, Harmonic Mean	Positive Predictive Value, PPV
সম্পর্কিত	5	5	5
সারসংক্ষেপ	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 F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.	Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.