[Retracted] Efficient Prediction of Missed Clinical Appointment Using Machine Learning

Table 10

Comparison of all balanced analyzed data against random forest and decision tree.

Measures	Algorithms	Random forest (%)	Decision tree
Accuracy (%)	SM-AD-RUS	84.96-83.17-85.26	85.18-85.03-86.50
Precision (%)	SM-AD-RUS	80-78-80	82-81-83
Recall (%)	SM-AD-RUS	93-93-94	90-90-92
F1-score (%)	SM-AD-RUS	86.25-85-86	86.42-86-87
MSE	SM-AD-RUS	0.1069-0.16-0.1473	0.1285-0.15-0.135
AUC (%)	SM-AD-RUS	92.09-83.26-85.26	87.13-85.03-86.50