Table 4 Subset of the variations of R Squared, MAE and MSE w.r.t training iteration for Amazon stock data

1.0

0.3615177826550059

40.96361933203462

1737.5484136732996

41.68391

2.0

0.9255199796283194

12.716530955158412

202.6879335579717

14.23685

3.0

0.8515782541509318

18.79209251323908

403.9109658011402

20.09754

4.0

0.9243534700591688

12.850174272434495

205.8624414711924

14.34791

5.0

0.9609688128652012

8.408773012706197

106.218427776839

10.30623

6.0

0.9250792087966996

12.7731807363897

203.8874354994026

14.27892

7.0

0.9617042805276084

8.28923883674258

104.21694576934058

10.20867

8.0

0.9286376443006984

12.397115932683178

194.20360438059365

13.9357

9.0

0.8620514402837214

18.039734846372887

375.4095174337836

19.37549

10.0

0.8743202633104741

17.15786093304368

342.0214708936338

18.49382

11.0

0.9384821120168914

11.359716950476905

167.41313348093698

12.93882

12.0

0.926201780429661

12.678215539696287

200.83249910947848

14.17154

13.0

0.886739542665897

16.180369846213594

308.2239765284608

17.55631

14.0

0.9700487663367746

7.000049442662013

81.50848547591667

9.028205

15.0

0.937015264424928

11.541408384374543

171.40497324918394

13.09217

16.0

0.9410540724981264

11.10399754816772

160.4138690804599

12.66546

17.0

0.9401899223977492

11.208699766396784

162.76554402973278

12.75796

18.0

0.9690657845859636

7.1852609748363205

84.1835456974748

9.175159

19.0

0.9301302255728854

12.255617368765243

190.14173366389383

13.78919

20.0

0.9687592319636918

7.224793924087916

85.01778979709947

9.220509

21.0

0.9329022814368728

11.981803812313634

182.597935045486

13.51288

22.0

0.8915445081247867

15.806575027457988

295.1478721608782

17.17987

23.0

0.9417113504650878

11.02097510494964

158.62517041695585

12.59465

24.0

0.8899391463823086

15.94524740114928

299.5166606302168

17.30655

25.0

0.8886091525513703

16.034310572021777

303.1360702368802

17.4108

26.0

0.9646866618021436

7.913732518296435

96.10077320922473

9.8031

27.0

0.8782390101493596

16.834853979885658

331.35709815384695

18.20322

28.0

0.9293871623254576

12.325391285130737

192.16388609312807

13.86232

29.0

0.9234656574829344

12.936987208509857

208.2785108488014

14.43186

30.0

0.936571013803313

11.605372140959007

172.613944997952

13.13826

31.0

0.9324229835842084

12.02345397518054

183.9022833905925

13.56106

32.0

0.9386227055164836

11.382648650451255

167.03052609493136

12.92403

33.0

0.8809643858529465

16.64830154339

323.94033367429296

17.99834

34.0

0.962823034984888

8.212727580896487

101.17239733912844

10.05845

35.0

0.8808074393616578

16.66970512144188

324.36744365411994

18.0102

36.0

0.9367202845672844

11.582531265434168

172.20772353696154

13.12279

37.0

0.9631794592999776

8.134917631988039

100.20243374976867

10.01012

38.0

0.9410027797806186

11.112040113751195

160.55345570874437

12.67097

39.0

0.9633998162196346

8.042574696610275

99.60276032772089

9.980118

40.0

0.9412937119452012

11.07017553588928

159.761720704504

12.63969

41.0

0.9443041165103528

10.745022147360432

151.56928631150757

12.31135

42.0

0.9442515753995112

10.722724533058134

151.71227028398997

12.31715

43.0

0.9439412662172152

10.753689211848709

152.55673738549885

12.35139

44.0

0.945258265238518

10.609202304849765

148.97269150589858

12.20544

45.0

0.9446622804303602

10.674541218935016

150.5945886078944

12.2717

46.0

0.946493353930386

10.447767506782654

145.61155420402483

12.06696

47.0

0.968690355006104

7.186795514646853

85.20522970559553

9.230668

48.0

0.9677465038634836

7.378766903071973

87.77380093757685

9.368767

49.0

0.946317823711565

10.490168453791073

146.08923744245894

12.08674

50.0

0.945410926455777

10.565014394757728

148.5572433560955

12.18841

51.0

0.9707223047313192

6.906313573578722

79.67553612009034

8.926115

52.0

0.9437459057536264

10.786055982880171

153.08838612117538

12.37289

53.0

0.9473330837010708

10.340557274457414

143.32633608622862

11.9719

54.0

0.9422240857922032

10.953009493226672

157.22982622402222

12.53913

55.0

0.9780766721735912

4.970546977933044

59.66155744418119

7.724089

56.0

0.965823545175718

7.728229635687458

93.00688923153136

9.644008

57.0

0.9465771578711024

10.430880965837932

145.3834924032485

12.05751

58.0

0.9699918602787336

6.983781391599809

81.66334809885521

9.036778

59.0

0.9432256818716706

10.869668080030564

154.50410946677803

12.42997

60.0

0.9675333492919967

7.44109577081824

88.3538740821258

9.399674

61.0

0.9698010524426132

7.087261906356872

82.18260743601567

9.065462

62.0

0.9432546065766684

10.844841364264672

154.42539454893156

12.4268

63.0

0.944709929239288

10.689819574875214

150.4649184148697

12.26641

64.0

0.9449085794979192

10.637380077498303

149.92431691903553

12.24436

65.0

0.9699938961762776

7.084714695995746

81.65780766178169

9.036471

66.0

0.9470381533911216

10.43315927089861

144.12895153623575

12.00537

67.0

0.9446930165920684

10.62629156306595

150.51094404024994

12.26829

68.0

0.9439744782522378

10.80443010037735

152.4663550424978

12.34773

69.0

0.971156356925419

6.836967060228443

78.49431809894386

8.859702

70.0

0.9665326337963058

7.600628595806969

91.07719444225494

9.543437

71.0

0.947763712780499

10.287385426858236

142.15443363771007

11.92285

72.0

0.9468465832672822

10.43335397762259

144.6502853427884

12.02706

73.0

0.9718219903997166

6.709823238547304

76.68288098145766

8.756876

74.0

0.9671389256205566

7.479511358440764

89.42724810258935

9.456598

75.0

0.9698974336920227

7.066564034449682

81.92031808406514

9.050984

76.0

0.9662523083898398

7.675919504420153

91.84006449890738

9.583322

77.0

0.9668929760512146

7.561010331246476

90.09656867635692

9.491921

78.0

0.9443582413389444

10.746195145466636

151.42199245193723

12.30536

79.0

0.9449207608112742

10.691859863357596

149.8911670189732

12.243

80.0

0.9435800119287726

10.790699972764727

153.53984513504042

12.39112