A voting-based machine learning approach for classifying biological and clinical datasets

Daneshvar, Negar Hossein-Nezhad; Masoudi-Sobhanzadeh, Yosef; Omidi, Yadollah

doi:10.1186/s12859-023-05274-4

BMC Bioinformatics

Table 3 Comparing the utilized methods based on the fivefold cross-validation technique

From: A voting-based machine learning approach for classifying biological and clinical datasets

Dataset (size)	Algorithm	# selected features	Accuracy	Specificity	Precision	Sensitivity	F-SCORE
LIV 345 × 6	TRADER	4	67.14	64.80	69.19	67.14	68.15
	WCC	4	67.14	64.80	69.19	67.14	68.15
	LCA	2	60	55.15	77.23	60	67.53
	PSO	4	67.14	64.80	69.19	67.14	68.15
	ICA	4	62.86	58.68	73.10	62.86	67.59
	VOTING	4	67.14	64.80	69.19	67.14	68.15
PID 768 × 8	TRADER	4	76.77	67.08	76.15	76.77	76.46
	WCC	4	77.42	64.70	77.07	77.42	77.25
	LCA	4	77.4	67.42	76.84	73.55	77.13
	PSO	4	76.77	67.08	76.15	76.77	76.46
	ICA	3	74.19	63.02	73.32	74.19	73.75
	VOTING	4	78.06	65.94	77.74	78.06	77.56
CHD2 303 × 13	TRADER	5	86.89	85.31	86.92	86.89	86.90
	WCC	4	85.24	80.77	85.22	85.24	84.90
	LCA	5	86.88	80.04	87.87	86.88	87.39
	PSO	5	82.32	83.22	83.49	82.32	83.30
	ICA	5	85.24	85.92	85.95	85.24	85.34
	VOTING	5	86.89	85.31	86.92	86.89	86.90
CHD5 303 × 13	TRADER	5	63.93	61.43	61.62	63.93	62.76
	WCC	5	62.29	67.75	58.69	62.29	64.70
	LCA	5	63.93	66.23	62.83	63.93	65.12
	PSO	4	60.66	52.09	58.11	60.66	59.35
	ICA	4	62.29	64.59	58.05	62.29	63.32
	VOTING	5	67.21	63.30	63.95	67.21	65.54
SHD 270 × 13	TRADER	5	92.73	89.43	92.82	92.73	92.77
	WCC	5	90.90	88.38	90.84	90.90	90.89
	LCA	5	92.73	89.43	92.82	92.73	92.77
	PSO	5	89.09	87.34	89.09	89.09	89.09
	ICA	5	87.27	82.01	87.35	87.27	87.31
	VOTING	5	92.73	89.43	92.82	92.73	92.77
HEP 150 × 19	TRADER	6	78.13	75.21	84.51	78.13	81.19
	WCC	5	75	71.67	83	75	78.80
	LCA	6	68.75	66.15	71.11	68.75	69.91
	PSO	6	65.63	62.61	68.36	65.63	66.96
	ICA	6	71.88	70.48	72.34	71.88	72.11
	VOTING	6	78.13	75.21	84.51	78.13	81.19
PAR 197 × 22	TRADER	6	90	70	91.18	90	90.58
	WCC	6	90	70	91.18	90	90.58
	LCA	6	90	70	91.18	90	90.58
	PSO	6	80	40	84.21	80	82.5
	ICA	5	87.50	69.17	87.34	87.50	87.42
	VOTING	6	90	70	91.18	90	90.58
WBDC 569 × 31	TRADER	6	100	100	100	100	100
	WCC	6	100	100	100	100	100
	LCA	5	98.26	96.86	98.31	98.26	98.28
	PSO	6	95.65	95.11	95.65	95.65	95.65
	ICA	6	94.78	93.89	94.80	94.78	94.83
	VOTING	6	100	100	100	100	100
LUNG 32 × 56	TRADER	8	87.50	87.50	90	87.50	88.75
	WCC	8	87.50	98.21	93.75	87.50	87.50
	LCA	8	87.50	98.21	93.75	87.50	87.50
	PSO	10	62.5	72.50	73.75	62.5	62.5
	ICA	8	75.00	96.42	91.66	75.00	75.00
	VOTING	8	100	100	100	100	100
ARRYTM 452 × 279	TRADER	9	73.91	70.84	78.95	73.91	76.35
	WCC	7	77.17	72.75	76.90	77.17	77.17
	LCA	9	82.60	77.61	82.84	79.34	82.09
	PSO	9	64.13	63.68	64.09	64.13	64.11
	ICA	9	78.26	73.41	77.99	78.26	78.26
	VOTING	9	77.17	74.84	80.01	77.17	88.57
PARKINSON 756 × 754	TRADER	10	83.66	52.95	82.92	83.66	83.29
	WCC	9	82.35	46.53	81.78	82.35	82.7
	LCA	10	79.08	43.55	76.40	79.08	77.72
	PSO	10	77.12	22.88	70.92	77.12	73.89
	ICA	10	83.66	52.95	82.92	83.66	83.29
	VOTING	10	84.31	47.11	86.96	84.31	85.62
ARCENE 200 × 10,000	TRADER	10	90.24	89.42	90.57	90.24	90.41
	WCC	9	82.93	80.95	84.77	82.93	83.84
	LCA	8	90.24	89.42	90.57	90.24	90.41
	PSO	10	80.49	82.43	83.67	80.49	82.05
	ICA	10	87.80	86.82	87.82	87.80	87.81
	VOTING	10	90.24	89.94	90.24	90.24	90.23
GENEEXPR 801 × 20,531	TRADER	15	100	100	100	100	100
	WCC	15	100	100	100	100	100
	LCA	15	100	100	100	100	100
	PSO	14	95.23	100	100	90.90	95.23
	ICA	14	95.23	100	100	90.90	95.23
	VOTING	15	100	100	100	100	100

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ISSN: 1471-2105

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