Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation

Table 8

Performance of implemented classification models with the full set of features of the dataset.

Metric	SVM	RF	kNN	GB	ET	NB
AUC	0.97	0.98	0.95	0.98	0.98	0.97
Specificity	0.92	0.93	0.85	0.94	0.94	0.90
Sensitivity	0.97	0.97	0.94	0.95	0.96	0.94
Accuracy	0.94	0.95	0.85	0.95	0.95	0.92
score	0.95	0.96	0.89	0.95	0.95	0.92
Precision	0.96	0.98	0.94	0.96	0.96	0.94