Table 4 Results of total analgesic consumption (Continuous + PCA) prediction
From: Decision tree-based learning to predict patient controlled analgesia consumption and readjustment
Total Analgesic Consum. Prediction (%) | C4.5 bagging | C4.5 AdaBoost | C4.5 | ANN* | Random Forest | Rotation Forest | SVM‡ | NB |
|---|---|---|---|---|---|---|---|---|
Low Consum. Sensitivity | 84.3 | 79.2 | 77.4 | 69.8 | 80.1 | 83.1 | 8.0 | 79.0 |
Med Consum. Sensitivity | 83.5 | 75.8 | 72.8 | 79.6 | 83.6 | 82.0 | 96.1 | 67.7 |
High Consum. Sensitivity | 62.4 | 61.2 | 60.6 | 21.6 | 47.4 | 62.0 | 0.0 | 38.0 |
Low Consum. Precision | 84.3 | 78.8 | 76.3 | 80.2 | 81.4 | 82.9 | 59.4 | 71.8 |
Med Consum. Precision | 79.7 | 75.3 | 73.5 | 66.1 | 74.8 | 78.8 | 50.6 | 70.2 |
High Consum. Precision | 78.5 | 66.0 | 62.8 | 56.9 | 80.4 | 76.3 | 0.0 | 46.3 |
Overall Accuracy | 80.9 | 75.1 | 72.8 | 68.5 | 77.4 | 79.7 | 50.7 | 67.9 |