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 |