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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Matrica e konfuzionit×Saktësi×Kujtesë (ndjeshmëri)×
FushaVlerësimi i modeleveVlerësimi i modeleveVlerësimi i modeleve
FamiljaMCDMMCDMMCDM
Viti i origjinës20th century20th century20th century
KrijuesiStatistical foundationsHistorical statistical foundationsHistorical statistical foundations
LlojiEvaluation visualizationEvaluation metricEvaluation metric
Burimi themeluesEveritt, 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 ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
Emërtime të tjeraError Matrix, Contingency TablePositive Predictive Value, PPVSensitivity, True Positive Rate, TPR
Të lidhura555
PërmbledhjaThe 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.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.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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  1. v1
  2. 2 Burimet
  3. PUBLISHED
  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Confusion Matrix · Precision · Recall (Sensitivity). Marrë më 2026-06-18 nga https://scholargate.app/sq/compare