Application of Discrete Wavelet Transform in Shapelet-Based Classification

Table 2

Testing accuracy and ranks of base classifiers.

#	Naïve Bayes	C4.5	SVM	Random forest	Bayesian networks
1	0.8100	0.7900	0.8700	0.8800	0.8000
2	0.9895	0.9768	0.9849	0.9978	0.9977
3	0.9719	0.8788	0.9991	0.9745	0.9930
4	0.8836	0.8862	0.8733	0.8933	0.8942
5	0.7500	0.6500	0.9000	0.8500	0.9000
6	0.7000	0.7000	0.8000	0.7500	0.8000
7	0.6594	0.6884	0.5870	0.6051	0.6884
8	0.5000	0.6250	0.5938	0.6563	0.6250
9	0.5704	0.6598	0.5704	0.6598	0.6564
10	0.6492	0.6678	0.6480	0.6853	0.6538
11	0.6357	0.7801	0.8007	0.8797	0.6667
12	0.6493	0.7647	0.7050	0.8383	0.6753
13	0.9886	0.7273	1.0000	1.0000	1.0000
14	0.9200	0.8171	0.9771	0.9314	0.9486
15	0.5543	0.6114	0.7257	0.7200	0.6286
16	0.9065	0.9712	0.8777	1.0000	0.8129
17	0.6977	0.7038	0.7098	0.6864	0.7060
18	0.6247	0.6370	0.6407	0.6074	0.6370
19	0.9407	0.8552	0.9446	0.9417	0.9193
20	0.9273	0.8043	0.9081	0.9401	0.9401
21	0.9584	0.9750	0.9384	0.9401	0.9401
22	0.7067	0.5512	0.6929	0.6772	0.5512
23	0.9683	0.9603	0.9841	0.9841	0.9683
24	1.0000	0.9048	0.9048	1.0000	1.0000
25	0.6500	0.6833	0.7833	0.7833	0.7000
Average rank	3.7000	3.6200	2.7200	2.2200	2.7400
Win	2	3	11	13	7