MCDMClassification Metric
Usahihi
Usahihi hupima uwiano wa utabiri chanya ambao kwa kweli ulikuwa sahihi. Unajibu swali: ' Kati ya visa vyote tulivyotabiri kama chanya, ni vingapi vilikuwa chanya kweli?' Usahihi ni muhimu katika hali ambapo utabiri hasi bandia ni wa gharama kubwa.
Soma mbinu kamili
Kwa wanachama pekee
IngiaIngia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI: 10.1016/j.patrec.2005.10.010 ↗
- Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Precision (Positive Predictive Value). ScholarGate. https://scholargate.app/sw/model-evaluation/precision
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- UsahihiTathmini ya Modeli↔ compare
- F1-ScoreTathmini ya Modeli↔ compare
- Kiwango cha Uwiano cha MatthewsTathmini ya Modeli↔ compare
- Kumbukumbu (Usikivu)Tathmini ya Modeli↔ compare
- Umahiri (Specificity)Tathmini ya Modeli↔ compare
Imerejelewa na
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