Time series classification based on statistical features

EURASIP Journal on Wireless Communications and Networking

Table 3 Comparison of loss, accuracy, and time of OTS and characteristic subsequences on ResNet

Class	Sub_acc	Ori_acc	Sub_loss	Ori_loss	Sub_time (ms)	Ori_time (ms)	MPCE
Class	Sub_acc	Ori_acc	Sub_loss	Ori_loss	Sub_time (ms)	Ori_time (ms)	Sub	Ori
Beef	0.20000000	0.20000000	1.74496531	1.73106301	5158	3086	0.0266	0.0266
_ECG_torso	0.25000000	0.57500000	0.39711393	0.76636980	8006	12008	0.0187	0.0106
FISH	0.29142857	0.12000000	1.74508711	2.00773776	5028	6034	0.0040	0.0050
Haptics	0.21935484	0.11612903	1.59135229	1.63156084	80255	9029	0.0050	0.0057
nlineSkate	0.18000000	0.18000000	1.80085803	1.99357187	13023	13023	0.0082	0.0082
Lighting2	0.66666666	0.66666665	0.82555122	0.80486704	10167	11185	0.0055	0.0055
MALLAT	0.81818181	0.25454545	0.45194966	0.68730921	16007	22009	0.0033	0.0135
CG_Thorax1	0.09777778	0.08388889	3.28499700	3.29407895	18009	23012	0.0005	0.0005
CG_Thorax2	0.13000000	0.02277778	3.31574941	3.43187079	20010	25013	0.0005	0.0005
OliveOil	0.16666667	0.43333334	1.71029079	1.31717467	18609	20650	0.0278	0.0189
OSULeaf	0.27000000	0.22000000	1.52914039	1.45554120	21089	22093	0.0036	0.0039
ightCurves	0.96600000	0.84100000	0.11879947	0.24178773	36004	555007	0.0000	0.0001
Symbols	0.87999999	0.40000000	0.43127703	0.52733892	27027	30030	0.0048	0.0240
yoga	0.45666666	0.45666666	0.52088028	0.64692467	32011	36012	0.0018	0.0018
mean	0.399482	0.326429	1.390572	1.466943	22171.64	56299.36	0.0079	0.0089