Modelevaluering

41 metoder.

Classification Metric 13

Nøjagtighed Balanceret nøjagtighed F-beta-scoren F1-score Makro-gennemsnitlig F1 Matthews Korrelationskoefficient Mikro-gennemsnitlig F1 Præcision Præcisions-Recall AUC Genkald (Sensitivitet)Specificitet Vægtet F1 Youdens J-statistik

External Clustering Validation 4

Justeret Rand Index Fowlkes-Mallows-indekset Normaliseret gensidig information V-measure

Clustering Validation 4

Calinski-Harabasz-indekset Davies-Bouldin Index Dunn Index Silhuetkoefficient

Error metric 3

Middelfejl (MAE)Middelfejlskvadrat (MSE)Root Mean Squared Error (RMSE)

Regression evaluation 2

Justeret R-kvadrat (R²_adj)Determinationskoefficienten (R²)

Information-theoretic criterion 2

Akaike Information Criterion (AIC)Bayesiansk informationskriterium (BIC)

Probabilistic Loss Metric 2

Brier Score Log-tab (Krydsentropi-tab)

Cluster Number Selection 2

Elbow-metoden Gap-statistik

Multi-label Metric 2

Hamming-tab Jaccard-indeks

Relative error metric 2

Middelabsolut procentfejl (MAPE)Symmetrisk MAPE (sMAPE)

Diagnostic Tool 1

Forvirringsmatrix

Statistical testing 1

Goodness-of-Fit Testing

Cluster Cohesion Measure 1

Classification Evaluation Tool 1

Lift- og gain-diagrammer

Scaled error metric 1

Mean Absolute Scaled Error (MASE)