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Table 8 ANOVA for classifier, RUS, hyperparameters and FST as factors of performance in terms of AUPRC

From: IoT information theft prediction using ensemble feature selection

  Df Sum Sq Mean Sq F value Pr(>F)
Classifier 7 13.34 1.91 5767.49 0.0000
RUS 2 0.16 0.08 249.67 0.0000
Hyperparameters 1 0.00 0.00 8.15 0.0043
FST 4 0.17 0.04 131.17 0.0000
Residuals 11985 3.96 0.00