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| Noggrannhet× | Förväxlingsmatris× | |
|---|---|---|
| Ämnesområde | Modellutvärdering | Modellutvärdering |
| Familj | MCDM | MCDM |
| Ursprungsår | 20th century | 20th century |
| Upphovsperson≠ | Historical statistical foundations | Statistical foundations |
| Typ≠ | Evaluation metric | Evaluation visualization |
| Ursprungskälla≠ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ | Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗ |
| Alias | Overall Accuracy, Correct Classification Rate | Error Matrix, Contingency Table |
| Närliggande | 5 | 5 |
| Sammanfattning≠ | Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class. | 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. |
| ScholarGateDatamängd ↗ |
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