Table 7.
Show and no-show Adasyn appointment prediction result by mean square error and AUC.
| Algorithm | MSE | AUC |
|---|---|---|
| Random forest | 0.16 | 83.26% |
| Decision tree | 0.15 | 85.03% |
| Logistic regression | 0.334 | 66.51% |
| XG Boost | 0.21 | 78.43% |
| Gradient boosting | 0.255 | 74.46% |
| Adaboost | 0.279 | 71.98% |
| Naive Bayes | 0.338 | 66.20% |
| SGD | 0.339 | 63.49% |
| Multilayer perceptron | 0.3408 | 65.94% |
| SVM | 0.28 | 68.90% |