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Matriks Kebingungan×Deria (Sensitiviti)×
BidangPenilaian ModelPenilaian Model
KeluargaMCDMMCDM
Tahun asal20th century20th century
PengasasStatistical foundationsHistorical statistical foundations
JenisEvaluation visualizationEvaluation metric
Sumber perintisEveritt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
AliasError Matrix, Contingency TableSensitivity, True Positive Rate, TPR
Berkaitan55
RingkasanThe 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.Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.
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ScholarGateBandingkan kaedah: Confusion Matrix · Recall (Sensitivity). Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare