An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques

Table 2

Classification accuracy (%) and comparison of different classifiers.

#	Algorithm	Heart	Diabetes	WBC	ACredit	GCredit	Sonar	Shuttle	Connect-4	Magic	Census
1	ABDRStErPCA (C4.5) [11]	92.4	79.15	98.25	91.31	80.42	90.02	98.15	47.95	72.5	83.54
2	ABDRkfStErPCA (C4.5) [11]	92.78	80.12	97.04	92.61	79.03	89.54	98.65	48.04	72.05	82.67
3	ABDRStErICA (C4.5)	91.21	78.21	96.2	91.6	78.2	87.01	98.5	47.62	71.9	81.52
4	ABDRkfStErICA (C4.5)	90.91	80.3	97.04	90.48	77.16	86.5	98.2	46.7	70.56	80.3
5	ABDRStErPLA (C4.5)	91.94	80.23	95.21	91.24	78.69	88.6	97.84	46.8	71.69	81.62
6	ABDRkfStErPLA (C4.5)	92.05	79.21	94.47	92	80.1	88.14	98.63	47.56	72.23	82.6
7	ABDRStErPCA (CART)	90.56	78.21	96.21	95.2	78.65	87.5	97.45	45.21	71.86	82.15
8	ABDRkfStErPCA (CART)	91.52	79.05	97.06	96.4	79.8	86.9	97.63	46.63	70.03	82.42
9	ABDRStErICA (CART)	90.72	78	95.28	94.26	77.76	85.71	98.05	45.77	72	81.62
10	ABDRkfStErICA (CART)	91.32	79.11	95.98	92.42	76.58	86.65	97.17	46.34	70.69	80.45
11	ABDRStErPLA (CART)	90.06	80.6	96.02	91.3	77.91	86	98.26	46.04	71.62	82.41
12	ABDRkfStErPLA (CART)	91.3	79.33	95.72	91.61	77.08	85.59	98.48	46.9	72.5	81.98
13	ABInDRkfStE [13]	93.01	80.71	98.08	92.04	78.45	90.57	98.41	46.98	72.59	82.68
14	ABInDRStE [13]	92.87	79.84	98.13	91.89	80.24	91.15	98.73	47.23	71.84	82.05
15	ABDRkfStE [14]	90.45	75.15	96.91	90.78	77.41	80.42	99.66	46.07	71.6	81.57
16	ABDRStE [14]	92.12	79.12	96.91	91.45	80.21	85.63	98.75	46.14	71.08	81.07
17	ABDRE with RM-RR [12]	92.84	80.4	96.4	90.8	78.2	83.4	97.51	45.67	70.96	81.65
18	ABDRE with RM-RW [12]	90.84	78.07	97.6	89.45	76.28	81.75	97.74	44.6	69.84	80.45
19	ABIS [35]	91.21	76.54	97.44	90.72	77.7	83.65	95.48	45.02	70.02	81.69
20	AdaBoost	82.23	73.55	63.09	91.05	73.01	86.09	96.13	54.16	68.57	80.6
21	Bagging	79.69	76.37	95.77	85.87	74.19	76.2	95.27	44.68	70.69	80.04
22	Random subspace method	84.44	74.81	71.08	82.14	75.4	85.18	92.81	43.58	70.56	79.05
23	C 4.5	77.8	73	94.7	84.5	70.5	76.09	95.6	45.89	69.13	80.61
24	SVM	81.5	77	97.2	84.8	72.5	90.4	—	—	—	—
25	DROP4 [20]	80.9	72.4	96.28	84.78	—	82.81	—	—	—	—