Tathmini ya Modeli

Mbinu 41.

Classification Metric 13

Usahihi Usawa wa Usahihi (Balanced Accuracy)Kiwango cha F-beta F1-Score F1 ya wastani wa makro Kiwango cha Uwiano cha Matthews Micro-averaged F1 Usahihi AUC ya Precision-Recall Kumbukumbu (Usikivu)Umahiri (Specificity)F1-yenye-uzito Takwimu ya J ya Youden

External Clustering Validation 4

Kielelezo cha Rand Kilichorekebishwa Kielezo cha Fowlkes-Mallows Taarifa Iliyounganika Iliyopimwa V-measure

Clustering Validation 4

Kielezo cha Calinski-Harabasz Kielezo cha Davies-Bouldin Dunn Index Kiwango cha Silhouette

Error metric 3

Kosa Kamili la Wastani (MAE)Kosa la Wastani Lililopigwa Mraba (MSE)Hitilafu ya Mizizi ya Mraba (RMSE)

Regression evaluation 2

R² iliyorekebishwa (R²_adj)R-squared (R²)

Information-theoretic criterion 2

Kigezo cha Taarifa cha Akaike (AIC)Kigezo cha Taarifa cha Bayesian (BIC)

Probabilistic Loss Metric 2

Alama ya Brier Log-Loss (aucdoti ya msalaba-entropi)

Cluster Number Selection 2

Njia ya Kiwiko Takwimu ya Pengo

Multi-label Metric 2

Kupoteza kwa Hamming Kielezo cha Jaccard

Relative error metric 2

Kosa la Wastani la Asilimia Kamili (MAPE)Symmetric MAPE (sMAPE)

Diagnostic Tool 1

Matriki ya Kuchanganyikiwa

Statistical testing 1

Upimaji wa Ubora wa Kufaa

Cluster Cohesion Measure 1

Classification Evaluation Tool 1

Chati za Kunyanyua na Faida (Lift and Gain Charts)

Scaled error metric 1

Kosa Kamili Lililopimwa kwa Wastani (MASE)