Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation

Table 5

Performance indexes of comparative classifiers with SAE on Oxford Dataset (average of 10 runs).

Performance indexes		Classifiers
		KELM	LSVM	MSVM	RSVM	CART	KNN	LDA	NB
SAE 10-8	Specificity	0.2083	0.0889	0.0816	0.8148	0.7302	0.9565	0.4872	0.0286
	Sensitivity	0.0423	0.7	0.2174	0.3824	0.0625	0.9306	0.1429	0.2
	-score	0.0645	0.5556	0.198	0.5253	0.0784	0.9571	0.1905	0.102
	MCC	−0.7719	−0.2635	−0.7095	0.1897	−0.245	0.8425	−0.3992	−0.8053
SAE 10-7	Specificity	0.3455	0.2794	0.3421	0.3256	0.7273	0.9710	0.6667	0.8571
	Sensitivity	0.775	0.7407	0.7193	0.7692	0.5616	0.9231	0.5581	0.7778
	-score	0.5794	0.4167	0.6667	0.6612	0.6833	0.9231	0.7007	0.6512
	MCC	0.1304	0.0204	0.0653	0.1058	0.2438	0.8941	0.132	0.565
SAE 10-6	Specificity	0.5714	0.3387	0.7273	0.2581	0.8621	0.7432	0.0556	0.8806
	Sensitivity	0.5672	0.9091	0.7581	0.9375	0.3939	0.9048	0.0779	0.9286
	-score	0.6496	0.5769	0.7966	0.8163	0.5417	0.6441	0.1200	0.8387
	MCC	0.1266	0.2715	0.4698	0.276	0.2536	0.5489	−0.7927	0.7696
SAE 9-8	Specificity	0.4462	0.2000	0.0274	0.1207	0.4615	0.6066	0.2500	0.6316
	Sensitivity	0.8333	0.9091	0.3182	0.3243	0.1829	0.8235	0.2069	0.7368
	-score	0.5495	0.7299	0.1400	0.2400	0.2885	0.6512	0.3243	0.6437
	MCC	0.271	0.1567	−0.7202	−0.5726	−0.2897	0.4142	−0.3471	0.3612
SAE 9-7	Specificity	0.2597	0.125	0.0455	0.3667	0.4000	0.9492	0.4792	0.2917
	Sensitivity	0.0556	0.4366	0.2192	0.2857	0.6222	0.5000	0.2766	0.7447
	-score	0.0263	0.5041	0.2909	0.2410	0.7517	0.6316	0.3059	0.6034
	MCC	−0.5503	−0.3827	−0.6362	−0.3354	0.0102	0.5251	−0.2493	0.0408
SAE 9-6	Specificity	0.8929	0.8462	0.0606	0.7857	0.3404	0.9500	0.0879	0.9241
	Sensitivity	0.7612	0.2558	0.0484	0.0256	0.7500	0.8182	0.2500	0.5000
	-score	0.8430	0.3548	0.0625	0.0385	0.6261	0.8824	0.0227	0.5333
	MCC	0.6021	0.1269	−0.8850	−0.2700	0.0992	0.7586	−0.4156	0.4477
SAE 8-8	Specificity	0.1522	1.0000	0.9286	0.2683	0.8409	0.9889	0.6111	0.3542
	Sensitivity	0.1429	0.7647	0.5373	0.6111	0.5490	0.6000	0.9870	0.234
	-score	0.1474	0.8667	0.6857	0.5641	0.6512	0.6667	0.9500	0.2472
	MCC	−0.705	0.8529	0.4336	−0.1264	0.4031	0.6548	0.7056	−0.4146
SAE 8-7	Specificity	0.7222	0.7500	0.3529	0.7500	0.1600	0.9808	0.2188	0.4118
	Sensitivity	0.7805	0.1205	0.0769	0.011	0.3143	0.7442	0.1290	0.4103
	-score	0.7273	0.2083	0.1263	0.0215	0.3894	0.8421	0.0941	0.5333
	MCC	0.4980	−0.1252	−0.5701	−0.3344	−0.4651	0.7579	−0.6174	−0.1374
SAE 8-6	Specificity	0.8462	0.1333	0.375	0.125	0.2414	0.0308	0.9231	0.557
	Sensitivity	0.3415	0.6000	0.5057	0.7419	0.3333	0.1667	0.7857	0.6875
	-score	0.5000	0.6809	0.6471	0.4182	0.4000	0.1020	0.8544	0.3548
	MCC	0.1387	−0.2028	−0.0663	−0.1667	−0.3928	−0.8271	0.6974	0.1831