Evaluering og tillid
73 metoder i denne familie.
Udvalgte
NøjagtighedAccuracy 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 howJusteret R-kvadrat (R²_adj)Adjusted R² is a corrected version of the coefficient of determination that accounts for the number of predictors in a regression model. Introduced by Henri Theil in 1961, it addreJusteret Rand IndexThe Adjusted Rand Index (ARI), developed by Hubert and Arabie in 1985, is an external clustering evaluation metric that measures the agreement between a predicted clustering and a Akaike Information Criterion (AIC)The Akaike Information Criterion is an information-theoretic measure for model selection that balances goodness of fit against model complexity. Introduced by Hirotugu Akaike in 19Balanceret nøjagtighedBalanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regarBrier ScoreThe Brier score measures the mean squared difference between predicted probabilities and actual binary outcomes. It is a simple, interpretable metric for evaluating the accuracy of
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Dette emnes mest refererede grundlæggende metoder, i den rækkefølge de blev udviklet — et godt sted at begynde, hvis du er ny her.
Alle metoder 73
NøjagtighedJusteret R-kvadrat (R²_adj)Justeret Rand IndexAkaike Information Criterion (AIC)Balanceret nøjagtighedBrier ScoreBody Shape Questionnaire (BSQ)Calinski-Harabasz-indeksetKalorimeterkalibreringAnalyse af genstande i computerbaserede adaptive testsForvirringsmatrixKontrafaktiske ForklaringerDavies-Bouldin IndexDunn IndexElbow-metodenForklarlige AssociationsreglerForklarlig Autoencoder AnomalidetektionForklarligt beslutningstræForklarlig FP-VækstForklarlig Gaussisk BlandingsmodelForklarlig Gaussisk ProcesForklarlig HDBSCANForklarlig Isolation ForestForklarlig K-MeansForklarbare K-Nærmeste NaboerForklarbar LightGBMForklarbar Naive BayesForklarlig One-Class SVMForklarlig Random ForestForklarlig Stacking EnsembleForklarlig Support Vector MachineForklarligt stemmeensembleForklarlig XGBoostF-beta-scorenF1-scoreRetfærdighedsbevidst maskinlæringFowlkes-Mallows-indeksetGap-statistikGeometrisk MorfometriGlaukom Livskvalitet-15Hamming-tabInertiJaccard-indeksLift- og gain-diagrammerLIME: Local Interpretable Model-agnostic ExplanationsLog-tab (Krydsentropi-tab)Longitudinal Item AnalysisMakro-gennemsnitlig F1Middelfejl (MAE)Middelabsolut procentfejl (MAPE)Mean Absolute Scaled Error (MASE)Middelfejlskvadrat (MSE)Mikro-gennemsnitlig F1ModelkalibreringNormaliseret gensidig informationPræcisionPræcisions-Recall AUCPrisretfærdighedsskalaDeterminationskoefficienten (R²)Genkald (Sensitivitet)Robust Rasch-modelRoot Mean Squared Error (RMSE)SHAP (SHapley Additive exPlanations)Kort Form Rasch ModelKortform Item Response Theory (SF-IRT)SilhuetkoefficientSpecificitetVægtning og kalibrering af surveysSymmetrisk MAPE (sMAPE)Token Bucket Rate Limiting AlgoritmenV-measureVægtet F1Youdens J-statistik