Table 5 Results of PCA analgesic consumption (PCA only) prediction
From: Decision tree-based learning to predict patient controlled analgesia consumption and readjustment
PCA Analgesic Consum. Prediction (%) | C4.5 bagging | C4.5 AdaBoost | C4.5 | ANN* | Random Forest | Rotation Forest | SVM‡ | NB |
|---|---|---|---|---|---|---|---|---|
Low Consum. Sensitivity | 84.3 | 79.0 | 76.9 | 89.2 | 95.4 | 84.1 | 99.9 | 81.4 |
Med Consum. Sensitivity | 65.8 | 54.3 | 51.5 | 19.1 | 47.2 | 60.6 | 0.0 | 48.1 |
High Consum. Sensitivity | 47.5 | 45.1 | 45.4 | 8.4 | 31.8 | 51.0 | 0.0 | 50.8 |
Low Consum. Precision | 81.7 | 77.4 | 76.1 | 62.0 | 73.2 | 80.5 | 52.8 | 75.4 |
Med Consum. Precision | 60.7 | 53.6 | 51.2 | 20.7 | 61.4 | 59.7 | 0.0 | 55.6 |
High Consum. Precision | 75.1 | 52.3 | 49.3 | 22.8 | 85.7 | 68.2 | 0.0 | 51.2 |
Overall Accuracy | 73.1 | 66.1 | 64.1 | 54.7 | 70.6 | 71.7 | 52.7 | 65.4 |