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Table 7 Results of PCA control adjustment prediction (before and after data cleaning)

From: Decision tree-based learning to predict patient controlled analgesia consumption and readjustment

(a) PCA control readjustment prediction (before data cleaning)
PCA Control Prediction (%) C4.5 bagging C4.5 bagging over-sampling C4.5 bagging under-sampling C4.5 AdaBoost C4.5 AdaBoost over-sampling C4.5 AdaBoost under-sampling C4.5 Random Forest Rotation Forest DataBoost-IM
TPR 4.3 16.1 41.5 19.6 32.8 47.3 25.5 2.6 12.0 19.7
FPR 1.3 9.6 25.6 11.8 23.5 37.1 17.5 0.4 5.0 14.6
Pos Predict Val 39.3 28.2 27.5 27.9 24.6 23.1 25.4 38.2 36.3 23.7
F-score 7.5 20.2 32.9 22.5 27.9 30.9 25.2 4.7 17.6 21.4
(b) PCA control readjustment prediction (after data cleaning)
TPR 40.7 51.1 54.4 42.5 55.4 54.0 43.5 31.8 41.8 49.6
FPR 22.8 34.0 36.0 30.5 42.1 44.1 33.7 17.3 27.1 36.2
Pos Predict Val 29.5 26.1 26.2 24.5 23.6 22.3 23.2 30.2 26.6 24.3
F-score 33.9 33.8 35.3 30.9 33.0 31.5 30.2 30.5 32.3 32.1