Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities

Table 4

Performance comparison of MIL approaches.

Datasets	EMDD; Acc ± std (%); Rank	DD; Acc ± std (%); Rank	MILR; Acc ± std (%); Rank	Citation k-NN; Acc ± std (%); Rank	MIL Boost; Acc ± std (%); Rank	BP-MLP; Acc ± std (%); Rank	MILES; Acc ± std (%); Rank	MISVM; Acc ± std (%); Rank	MIL-TWSVM (min-Hausdorff); Acc ± std (%); Rank
Musk 1	83.61 ± 13.16	84.65 ± 11.83	73.51 ± 13.43	90.37 ± 10.40	84.84 ± 11.55	83.7 ± 9.2	92.28 ± 10.45	89.21 ± 9.84	96.67 ± 5.09
	8	6	9	3	5	7	2	4	1
Musk 2	85.57 ± 10.28	80.39 ± 13.44	78.51 ± 13.06	84.61 ± 11.54	79.50 ± 12.39	80.4 ± 10.34	89.66 ± 12.36	83.92 ± 10.36	92.85 ± 4.77
	3	7	9	4	8	6	2	5	1
Mutagenesis-atoms	68.89 ± 12.29	72.89 ± 9.34	74.00 ± 10.37	73.35 ± 10.13	79.26 ± 9.24	78.88 ± 8.85	75.56 ± 8.88	66.54 ± 1.85	87.04 ± 2.63
	8	7	5	6	2	3	4	9	1
Winter wren	96.85 ± 3.02	85.56 ± 4.16	89.45 ± 2.3	94.8 ± 4.22	92.34 ± 5.16	96.67 ± 7.53	96.35 ± 6.02	97.16 ± 2.85	98.02 ± 2.2
	3	9	8	6	7	4	5	2	1
Brown creeper	94.5 ± 2.26	93.78 ± 3.88	93.6 ± 4.24	85.77 ± 4.35	94.02 ± 5.75	95.36 ± 6.14	95.8 ± 5.84	92.80 ± 3.16	97.89 ± 3.71
	4	6	7	9	5	3	2	8	1
Elephant	75.25 ± 10.57	81.45 ± 10.23	78.90 ± 9.28	50 ± 0.0	84.70 ± 8.46	83.72 ± 8.82	80.36 ± 8.26	79.45 ± 9.32	85.56 ± 5.49
	8	4	7	9	2	3	5	6	1
Fox	59.65 ± 9.16	59.40 ± 9.88	57.35 ± 10.81	50 ± 0.0	66.90 ± 9.58	62.05 ± 7.43	68.87 ± 9.04	49.35 ± 5.71	75 ± 4.49
	5	6	7	8	3	4	2	9	1
Tiger	71.35 ± 9.45	72.20 ± 8.80	75.30 ± 8.98	50 ± 0.0	87.62 ± 8.07	79.45 ± 9.12	84.22 ± 7.65	80.70 ± 7.42	86.25 ± 5.89
	8	7	6	9	1	5	3	4	2
eastWest	64.00 ± 28.50	64.50 ± 32.79	67.00 ± 36.39	45 ± 24.10	55.00 ± 32.18	60.50 ± 21.67	55.00 ± 32.18	60.50 ± 21.67	80 ± 24.49
	4	3	2	9	7.5	5.5	7.5	5.5	1
westEast	38.00 ± 27.63	36.00 ± 29.37	35.50 ± 34.30	50.5 ± 27.06	56.50 ± 33.83	55.00 ± 32.18	50.5 ± 27.06	38.00 ± 25.74	90 ± 20.00
	6.5	8	9	4.5	2	3	4.5	6.5	1
Average rank	5.75	6.3	6.9	6.75	4.25	4.35	3.7	5.9	1.1

Friedman test statistic = 36.83.