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Table 22 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 7 137.67 19.67 3564.07 0.0000
RUS 3 4.05 1.35 244.86 0.0000
Hyperparameters 1 0.95 0.95 171.29 0.0000
FST 4 0.48 0.12 21.65 0.0000
Residuals 15984 88.20 0.01