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Table 25 Results of GB with CoClust for SMS Spam Collection

From: An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application

  

Accuracy

OOB error rate (%)

AUROC

Frank and Clayton Copula

Cluster 1

0.8903

10.97

0.884

Cluster 2

0.892

10.80

0.885

Cluster 3

0.894

10.60

0.884

Gumbel Copula

Cluster 1

0.8903

10.97

0.884

Cluster 2

0.892

10.80

0.885

Cluster 3

0.894

10.60

0.884

Cluster 4

0.883

11.70

0.879

Cluster 5

0.883

11.70

0.879