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Table 1 The dimensions of OTS and new SEF

From: Time series classification based on statistical features

ClassOriginal dataSubsequence data
Train_sampleTest_sampleTrain_sampleTest sample
Beef(30,470,1,1)(30,470,1,1)(30,17,7,1)(30,17,7,1)
_ECG_torso(1380,1639,1,1)(40,1639,1,)(1380,64,7,)(40,64,7,1)
FISH(175,463,1,1)(175,463,1,1)(175,17,7,1)(175,17,7,1)
Haptics(308,1092,1,1)(155,1092,1,1)(308,42,7,1)(155,42,7,1)
nlineSkate(550,1882,1, 1)(100,1882,1,1)(550,74,7,1)(100,74,7,1)
Lighting2(61,637,1,1)(60,637,1,1)(61,24,7,1)(60,24,7,1)
MALLAT(2345,1024,1,1)(55,1024,1,1)(2345,750,1,1)(55,750,1,1)
CG_Thorax1(1965,750,1, 1)(1800,750,1,1)(1965,29,7,1)(1800,29,7,1)
CG_Thorax2(1965,750,1, 1)(1800,750,1,1)(1965,29,7,1)(1800,29,7,1)
OliveOil(30,570,1,1)(30,570,1,1)(30,21,7,1)(30,21,7,1)
OSULeaf(242,427,1,1)(200,427,1,1)(242,6,7,1)(200,16,7,1)
ightCurves(8236,1024,1,1)(1000,1024,1,1)(8236,39,7,1)(1000,39,7,1)
Symbols(995,398,1,1)(25,398,1,1)(995,14,7,1)(25,14,7,1)
yoga(3000,426,1,1)(300,426,1,1)(3000,16,7,1)(300,16,7,1)