Research Article
[Retracted] Efficient Prediction of Missed Clinical Appointment Using Machine Learning
Table 5
Show and no-show appointment prediction result by mean square error and AUC.
| | Algorithm | MSE | AUC |
| | Random forest | 0.1069 | 92.09% | | Decision tree | 0.1285 | 87.13% | | Logistic regression | 0.1273 | 87.25% | | XG Boost | 0.1906 | 80.92% | | Gradient boosting | 0.2330 | 76.69% | | Adaboost | 0.2646 | 73.53% | | SVM | 0.2953 | 70.45% | | Naive Bayes | 0.3277 | 67.21% | | SGD | 17.71 | 55.47% | | Multilayer perceptron | 0.3282 | 67.14% |
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