Table 3 Classification accuracy rates of algorithms based on nearest neighbor ED

1

InsectWingbeatSound

0.5616

0.5717

2

FiftyWords

0.6308

0.6462

3

WordSynonyms

0.6176

0.6191

4

Trace

0.7600

0.7600

5

ToeSegmentation1

0.6798

0.6842

6

Coffee

1.0000

1.0000

7

CricketX

0.5769

0.6154

8

CricketY

0.5667

0.5641

9

CricketZ

0.5872

0.6128

10

FreezerRegularTrain

0.8049

0.8600

11

FreezerSmallTrain

0.6758

0.6789

12

UWaveGestureLibraryX

0.7393

0.7409

13

UWaveGestureLibraryY

0.6616

0.6714

14

Lightning7

0.5753

0.6164

15

ToeSegmentation2

0.8077

0.8308

16

DiatomSizeReduction

0.9346

0.9346

17

FaceFour

0.7841

0.7386

18

Symbols

0.8995

0.9005

19

Yoga

0.8303

0.8300

20

OSULeaf

0.5207

0.5248

21

Ham

0.6000

0.5143

22

Meat

0.9333

0.9333

23

Fish

0.7829

0.7486

24

Beef

0.6667

0.6667

25

FordA

0.6652

0.6583

26

FordB

0.6062

0.5852

27

ShapeletSim

0.5389

0.5667

28

BeetleFly

0.7500

0.7500

29

BirdChicken

0.5500

0.5500

30

Earthquakes

0.7122

0.6619

31

Herring

0.5156

0.5469

32

ShapesAll

0.7517

0.7500

33

OliveOil

0.8667

0.6667

34

Car

0.7333

0.7167

35

InsectEPGRegularTrain

0.6787

0.6948

36

InsectEPGSmallTrain

0.6627

0.6747

37

Lightning2

0.7541

0.7705

38

Computers

0.5760

0.5840

39

LargeKitchenAppliances

0.4933

0.5013

40

RefrigerationDevices

0.3947

0.4053

41

ScreenType

0.3600

0.3680

42

SmallKitchenAppliances

0.3413

0.3387

43

NonInvasiveFetalECGThorax1

0.8290

0.8254

44

NonInvasiveFetalECGThorax2

0.8799

0.8692

45

Worms

0.4545

0.4286

46

WormsTwoClass

0.6104

0.5714

47

UWaveGestureLibraryAll

0.9481

0.9509

48

Mallat

0.9143

0.9147

49

MixedShapesRegularTrain

0.8973

0.8990

50

MixedShapesSmallTrain

0.8355

0.8388

51

Phoneme

0.1092

0.1055

52

StarLightCurves

0.8488

0.8481

53

Haptics

0.3701

0.3701

54

EOGHorizontalSignal

0.4171

0.4171

55

EOGVerticalSignal

0.4420

0.4392

56

ACSF1

0.5400

0.5200

57

SemgHandGenderCh2

0.7617

0.8917

58

SemgHandMovementCh2

0.3689

0.6400

59

SemgHandSubjectCh2

0.4044

0.8311

60

CinCECGTorso

0.8971

0.8986

61

EthanolLevel

0.2740

0.2800

62

InlineSkate

0.3418

0.3418

63

HouseTwenty

0.6639

0.6555

64

PigAirwayPressure

0.0577

0.0625

65

PigArtPressure

0.1250

0.1394

66

PigCVP

0.0817

0.0673

67

HandOutlines

0.8622

0.8676

68

Rock

0.8400

0.8400

Mean accuracy rate

0.6312

0.6407

Number of optimal performances

33

46