Table 7.

Performance analysis of ovarian dataset using sym2 with variations in window sizes and levels.

Classifier	Window size	Classification accuracy (%)
		Level 1	Level 2	Level 3	Level 4	Level 5	Level 6	Level 7	Level 8
KNN	64	91.31	97.28	91.36	91.04	0.00	0.00	0.00	0.00
	128	94.08	87.99	87.66	70.92	85.49	0.00	0.00	0.00
	256	88.64	73.05	82.50	71.84	67.43	80.61	0.00	0.00
	512	84.62	53.85	74.50	64.07	65.98	62.61	72.88	0.00
	1024	68.31	69.62	65.81	60.75	78.27	65.21	57.23	61.96
Bayes	64	89.35	96.20	90.98	91.69	0.00	0.00	0.00	0.00
	128	80.07	82.78	88.32	93.10	89.95	0.00	0.00	0.00
	256	82.45	83.91	83.53	79.08	87.54	84.79	0.00	0.00
	512	83.76	80.47	82.83	74.67	78.96	73.74	75.00	0.00
	1024	71.73	69.36	79.95	63.85	84.41	70.82	69.03	67.77
SVM	64	90.00	93.75	92.72	83.65	0.00	0.00	0.00	0.00
	128	85.01	90.60	86.03	95.54	90.33	0.00	0.00	0.00
	256	80.82	83.33	88.97	81.74	86.68	78.31	0.00	0.00
	512	72.52	82.98	76.63	70.82	76.36	77.98	73.04	0.00
	1024	61.20	60.31	80.35	69.12	81.86	67.22	60.49	62.17
Hybrid	64	98.81	100.00	95.26	98.81	0.00	0.00	0.00	0.00
	128	99.21	95.65	98.81	96.44	94.47	0.00	0.00	0.00
	256	99.21	94.47	89.33	87.35	91.30	93.68	0.00	0.00
	512	96.84	86.96	92.09	87.75	88.14	81.82	85.77	0.00
	1024	84.98	84.98	85.38	72.73	89.72	79.45	81.03	84.98