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Table 7 ANOVA for classifier, RUS, hyperparameters and FST as factors of performance in terms of AUC

From: IoT information theft prediction using ensemble feature selection

  Df Sum Sq Mean Sq F value Pr(>F)
Classifier 7 2.66 0.38 5531.44 0.0000
RUS 2 0.04 0.02 326.04 0.0000
Hyperparameters 1 0.01 0.01 113.22 0.0000
FST 4 0.01 0.00 19.18 0.0000
Residuals 11985 0.82 0.00