Skip to main content

Table 37 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 1.64 0.23 6477.60 0.0000
RUS 2 0.01 0.01 172.54 0.0000
Hyperparameters 1 0.01 0.01 164.64 0.0000
FST 4 0.00 0.00 33.30 0.0000
Residuals 11985 0.43 0.00