Time Series Classification by Shapelet Dictionary Learning with SVM-Based Ensemble Classifier

Table 2

Accuracies for the 45 datasets.

No	Dataset	Classification accuracy
		SD	LTS	FCN	SDL-S	SDL-SEC
1	50words	0.680	0.768	0.679	0.692	0.789
2	Adiac	0.583	0.522	0.857	0.591	0.790
3	Beef	0.507	0.800	0.750	0.833	0.867
4	CBF	0.975	0.990	1.000	0.994	0.997
5	Chlorine	0.553	0.590	0.843	0.602	0.616
6	CinC ECG	0.773	0.856	0.813	0.821	0.926
7	Coffee	0.961	1.000	1.000	1.000	1.000
8	Cricket X	0.672	0.744	0.815	0.751	0.774
9	Cricket Y	0.675	0.718	0.792	0.741	0.769
10	Cricket Z	0.673	0.721	0.813	0.782	0.800
11	Diatom.	0.896	0.967	0.930	0.892	0.922
12	ECG200	0.818	0.850	0.900	0.850	0.860
13	ECGFive	0.953	1.000	0.985	0.999	1.000
14	FaceAll	0.714	0.776	0.929	0.792	0.803
15	FaceFour	0.820	0.966	0.932	0.932	0.955
16	FacesUCR	0.847	0.943	0.948	0.893	0.929
17	Fish	0.755	0.966	0.971	0.977	0.977
18	Gun point	0.931	1.000	1.000	0.987	1.000
19	Haptics	0.356	0.464	0.551	0.477	0.477
20	InlineSkate	0.385	0.364	0.411	0.356	0.415
21	ItalyPower	0.920	0.963	0.970	0.952	0.971
22	Lighting2	0.795	0.852	0.803	0.787	0.787
23	Lighting7	0.652	0.808	0.863	0.726	0.795
24	MALLAT	0.926	0.953	0.980	0.921	0.951
25	MedicalImages	0.676	0.679	0.792	0.664	0.709
26	MoteStrain	0.783	0.858	0.950	0.905	0.905
27	Non.FatalECG.1	0.814	0.869	0.961	0.895	0.906
28	Non.FatalECG.2	0.855	0.911	0.955	0.912	0.938
29	OliveOil	0.790	0.700	0.833	0.900	0.900
30	OSULeaf	0.566	0.769	0.988	0.934	0.955
31	Sony.I	0.850	0.827	0.968	0.813	0.813
32	Sony.II	0.780	0.890	0.962	0.953	0.953
33	StarLight	0.933	0.937	0.967	0.974	0.974
34	SwedishLeaf	0.849	0.917	0.966	0.917	0.925
35	Symbols	0.865	0.930	0.962	0.951	0.951
36	Synthetic.	0.983	0.997	0.990	0.997	0.997
37	Trace	0.965	1.000	1.000	1.000	1.000
38	Two patterns	0.981	0.997	1.000	0.988	0.988
39	TwoLeadECG	0.867	0.997	0.897	0.999	0.999
40	uWave.X	0.761	0.801	0.754	0.785	0.793
41	uWave.Y	0.671	0.712	0.725	0.699	0.703
42	uWave.Z	0.676	0.752	0.729	0.731	0.741
43	Wafer	0.993	0.996	0.997	0.997	0.997
44	WordsS	0.625	0.680	0.580	0.594	0.672
45	Yoga	0.625	0.831	0.845	0.839	0.839
Average rank		4.64	2.84	1.96	2.87	1.91
Total wins		0	11	28	8	15