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Table 23 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 7 891.99 127.43 7741.19 0.0000
RUS 3 67.63 22.54 1369.58 0.0000
Hyperparameters 1 0.99 0.99 60.31 0.0000
FST 4 4.94 1.24 75.07 0.0000
Residuals 15984 263.11 0.02