Research Article
[Retracted] Efficient Prediction of Missed Clinical Appointment Using Machine Learning
Table 6
Show and no-show Adasyn appointment prediction result evaluation by threshold discriminative metrics.
| | Algorithm | Accuracy | Precision | Recall | F1-score |
| | Random forest | 85.26% | 78% | 93% | 85% | | Decision tree | 86.50% | 81% | 90% | 86% | | Logistic regression | 64.77% | 66% | 66% | 66% | | XG Boost | 79.12% | 77% | 81% | 79% | | Gradient boosting | 75.69% | 74% | 75% | 75% | | Adaboost | 71.90% | 72% | 70% | 71% | | Naive Bayes | 65.37% | 65% | 68% | 67% | | SGD | 60.96% | 59% | 83% | 69% | | Multilayer perceptron | 63.61% | 65% | 69% | 67% | | SVM | 68.58% | 67% | 72% | 70% |
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