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Table 38 ANOVA for classifier, RUS, hperparameters 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 9.21 1.32 7851.99 0.0000
RUS 2 0.07 0.03 203.36 0.0000
Hyperparameters 1 0.00 0.00 0.06 0.8137
FST 4 0.08 0.02 126.09 0.0000
Residuals 11985 2.01 0.00