विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| ROC विश्लेषण (रिसीवर ऑपरेटिंग कैरेक्टरिस्टिक)× | विवेचक विश्लेषण× | |
|---|---|---|
| क्षेत्र | सांख्यिकी | सांख्यिकी |
| परिवार≠ | Hypothesis test | Latent structure |
| उद्भव वर्ष≠ | 1954 (signal detection); 1982 (AUC formalization) | 1936 |
| प्रवर्तक≠ | Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics) | Ronald A. Fisher |
| प्रकार≠ | Diagnostic accuracy evaluation | Supervised classification and dimension reduction |
| मौलिक स्रोत≠ | Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36. DOI ↗ | Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗ |
| उपनाम | ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis |
| संबंधित | 4 | 4 |
| सारांश≠ | ROC analysis evaluates how well a continuous or ordinal test variable discriminates between two binary outcome classes. By plotting the true positive rate (sensitivity) against the false positive rate (1 − specificity) across all decision thresholds, it produces a curve whose area under the curve (AUC) quantifies overall discriminative power, ranging from 0.5 (chance) to 1.0 (perfect discrimination). | Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error. |
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