Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients

Table 4

5 split cross-validation.

Performance (%)	KNN	SVM	NB	Decision tree
Accuracy test set 1	82.11	81.36	84.52	86.28
Sensitivity test set 1	0.8746	0.7801	0.8225	0.9152
Specificity test set 1	0.8452	0.725	0.8654	0.8833
Accuracy test set 2	83.64	84.25	81.20	84.31
Sensitivity test set 2	0.8055	0.8139	0.8558	0.8631
Specificity test set 2	0.8519	0.8687	0.8411	0.8551
Accuracy test set 3	86.32	84.93	85.31	82.28
Sensitivity test set 3	0.9025	0.8755	0.9032	0.8111
Specificity test set 3	0.8947	0.9054	0.8748	0.8364
Accuracy test set 4	85.57	87.23	84.41	88.46
Sensitivity test set 4	0.9125	0.9189	0.8956	0.9286
Specificity test set 4	0.8836	0.8997	0.8735	0.9091
Accuracy test set 5	87.26	84.39	79.32	87.32
Sensitivity test set 5	0.8568	0.8793	0.8178	0.9025
Specificity test set 5	0.9034	0.8998	0.8227	0.9131