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73 mbinu katika familia hii.
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UsahihiAccuracy 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 howR² iliyorekebishwa (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 addreKielelezo cha Rand KilichorekebishwaThe 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 Kigezo cha Taarifa cha Akaike (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 19Usawa wa Usahihi (Balanced Accuracy)Balanced 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, regarAlama ya BrierThe 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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Mbinu zote 73
UsahihiR² iliyorekebishwa (R²_adj)Kielelezo cha Rand KilichorekebishwaKigezo cha Taarifa cha Akaike (AIC)Usawa wa Usahihi (Balanced Accuracy)Alama ya BrierKiwango cha Mwili (BSQ)Kielezo cha Calinski-HarabaszUrekebishaji wa kalori (Calorimeter Calibration)Uchambuzi wa Kipengee cha Kujiendesha kwa KompyutaMatriki ya KuchanganyikiwaMaelezo ya Kinyume (Counterfactual Explanations)Kielezo cha Davies-BouldinDunn IndexNjia ya KiwikoSheria za Chama ZinazoelewekaUgunduzi wa Anomaly wa Autoencoder unaoelezekaMti wa Maamuzi Unaoweza KufafanuliwaUchanganuzi wa FP-Grow ExplainedMuundo wa Gaussian Mixture unaoelezekaMchakato wa Gaussia UnaofafanulikaExplainable HDBSCANExplainable Isolation ForestExplainable K-MeansK-Nearest Neighbors InayoelezekaExplainable LightGBMBayesi ya UfafanuziOne-Class SVM InayoelewekaExplainable Random ForestMkusanyiko wa Kuweka Safu Unaoweza KufafanuliwaDharira ya Msaidizi inayoelewekaExplainable Voting EnsembleXGBoost InayoelewekaKiwango cha F-betaF1-ScoreUjuzi wa Mashine Unaofahamu HakiKielezo cha Fowlkes-MallowsTakwimu ya PengoGeometric MorphometricsUbora wa Maisha wa Glakoma-15Kupoteza kwa HammingInertiaKielezo cha JaccardChati za Kunyanyua na Faida (Lift and Gain Charts)LIME: Maelezo Yanayoweza Kufasiriwa Kienyeji Kwa Kila MfumoLog-Loss (aucdoti ya msalaba-entropi)Uchambuzi wa Kipengee cha Muda MrefuF1 ya wastani wa makroKosa Kamili la Wastani (MAE)Kosa la Wastani la Asilimia Kamili (MAPE)Kosa Kamili Lililopimwa kwa Wastani (MASE)Kosa la Wastani Lililopigwa Mraba (MSE)Micro-averaged F1Urekebishaji wa ModeliTaarifa Iliyounganika IliyopimwaUsahihiAUC ya Precision-RecallPrice Fairness ScaleR-squared (R²)Kumbukumbu (Usikivu)Mfumo Imara wa RaschHitilafu ya Mizizi ya Mraba (RMSE)SHAP (SHapley Additive exPlanations)Mfumo mfupi wa RaschNadharia ya Majibu ya Vipengee ya Fomu Fupi (SF-IRT)Kiwango cha SilhouetteUmahiri (Specificity)Uzito wa sampuli na urekebishajiSymmetric MAPE (sMAPE)Algoriti ya Kufungia Kasi ya Ndoo ya TokeniV-measureF1-yenye-uzitoTakwimu ya J ya Youden