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results.txt
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Proceses Finished for Legendre Dataset:
Optimal umcLS: [0.5, 20, 0.01, 5, 0.125, 25] with 96.7693529343
Optimal LS: [0.5, 20, 0.01, 5, 0.125, 25] with 48.7884068491
Optimal ucLS: [0.5, 20, 0.01, 5, 0.125, 25] with 58.4241385262
Proceses Finished for Legendre Dataset:
Optimal umcLS: [0.05, 5, 0.1, 20, 0.1, 5] with 1414.14341979
Optimal LS: [0.5, 10, 0.4, 1, 0.15, 50] with 445.643132581
Optimal ucLS: [0.5, 20, 0.1, 5, 0.125, 25] with 445.449965339
Proceses Finished for Legendre Dataset:
Optimal umcLS: [0.01, 20, 0.4, 15, 0.1, 5] with 106.155595414
Optimal LS: [1.0, 20, 0.1, 1, 0.75, 1] with 71.3931559878
Optimal ucmLS: [0.5, 20, 0.1, 5, 0.125, 25] with 70.4424321691
Proceses Finished for Legendre Dataset:
Optimal umcLS: [0.05, 40, 0.1, 20, 0.05, 5] with 68.1744818879
Optimal LS: [1.0, 20, 0.1, 20, 0.05, 5] with 71.7157240581
Optimal ucLS: [1.0, 20, 0.1, 20, 0.05, 5] with 69.390446287
Proceses Finished for Legendre Dataset:
Optimal umcLS: [0.05, 20, 0.4, 1, 0.05, 5] with 451.439446889
Optimal LS: [1.0, 10, 0.1, 7, 0.05, 5] with 465.887538031
Optimal ucLS: [0.5, 20, 0.4, 1, 0.05, 5] with 460.43155679
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 10, 0.4, 30, 0.05, 5] with 549.880627467
Optimal LS: [0.05, 3, 0.001, 20, 0.05, 5] with 418.101255889
Optimal gLS: [0.05, 10, 0.1, 20, 0.05, 5] with 507.610039706
Proceses Finished for Legendre Dataset:
Optimal GD: [0.05, 3, 0.1, 1, 0.05, 5] with 21323.3699004
Optimal LS: [1.0, 3, 0.001, 1, 0.05, 5] with 19523.8464539
Optimal gLS: [0.05, 3, 0.1, 1, 0.05, 5] with 21400.853621
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 10, 0.4, 30, 0.05, 5] with 1994.70826172
Optimal LS: [0.5, 3, 0.1, 30, 0.05, 5] with 1951.05509526
Optimal gLS: [0.5, 3, 0.4, 30, 0.05, 5] with 1841.38722663
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 384, 0.001, 1, 0.05, 5] with 8496.69899679
Optimal LS: [0.75, 96, 0.01, 20, 0.05, 5] with 3543.50017146
Optimal gLS: [1.0, 384, 0.001, 7, 0.05, 5] with 8487.30001234
Proceses Finished for Legendre Dataset:
Optimal GD: [4.0, 384, 0.001, 7, 0.05, 5] with 8495.49148853
Optimal LS: [0.75, 96, 0.01, 7, 0.05, 5] with 3688.70651401
Optimal gLS: [2.0, 384, 0.001, 20, 0.05, 5] with 8484.07549898
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 15, 0.01, 10, 0.05, 100] with 171.145904706
Optimal LS: [0.75, 10, 0.1, 150, 0.005, 2] with 76.7942139633
Optimal ChristmasLS: [0.75, 10, 0.1, 150, 0.005, 2] with 70.6593314051
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 5, 0.01, 100, 0.05, 100] with 1406.9637906
Optimal LS: [1.0, 15, 0.01, 10, 0.005, 2] with 445.99422908
Optimal ChristmasLS: [1.0, 15, 0.01, 10, 0.005, 2] with 493.310036378
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 5, 0.001, 100, 0.05, 100] with 2184.96553895
Optimal LS: [0.25, 5, 0.1, 25, 0.025, 50] with 1886.35837542
Optimal ChristmasLS: [0.5, 15, 0.1, 100, 0.01, 5] with 2105.70815739
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 96, 0.001, 15, 0.05, 5] with 4507.46567226
Optimal LS: [1.0, 96, 0.001, 15, 0.05, 5] with 4656.68424188
Optimal ChristmasLS: [1.0, 96, 0.001, 15, 0.05, 5] with 12566.0743249
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 96, 0.001, 15, 0.05, 5] with 199.830617879
Optimal LS: [1.0, 96, 0.001, 15, 0.05, 5] with 138.935379057
Optimal ChristmasLS: [1.0, 96, 0.001, 15, 0.05, 5] with 161.908455281
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 96, 0.001, 15, 0.05, 5] with 1724.40770417
Optimal LS: [1.0, 96, 0.001, 15, 0.05, 5] with 722.279471175
Optimal ChristmasLS: [1.0, 96, 0.001, 15, 0.05, 5] with 2254.48546992
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 96, 0.001, 15, 0.05, 5] with 6198.99186197
Optimal LS: [1.0, 96, 0.001, 15, 0.05, 5] with 6071.60237746
Optimal ChristmasLS: [1.0, 96, 0.001, 15, 0.05, 5] with 12218.1165176
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 96, 0.001, 15, 0.05, 5] with 340.849586121
Optimal LS: [1.0, 96, 0.001, 15, 0.05, 5] with 279.814957215
Optimal ChristmasLS: [1.0, 96, 0.001, 15, 0.05, 5] with 293.333171034
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 10, 0.1, 150, 0.05, 100] with 164.137278185
Optimal LS: [0.75, 5, 0.1, 25, 0.05, 100] with 74.4359204282
Optimal umvcLS: [0.75, 5, 0.001, 10, 0.01, 5] with 81.2750850435
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 15, 0.1, 100, 0.05, 100] with 175.267644746
Optimal LS: [0.25, 10, 0.001, 10, 0.005, 2] with 60.9394484881
Optimal umvcLS: [0.25, 10, 0.001, 10, 0.005, 2] with 88.8593516091
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 100, 0.001, 25, 0.05, 100] with 136.233001032
Optimal LS: [0.5, 100, 0.001, 25, 0.05, 100] with 58.0242716374
Optimal umvcLS: [0.75, 15, 0.01, 10, 0.01, 5] with 81.7271813144
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 5, 0.1, 10, 0.05, 100] with 172.781148036
Optimal LS: [0.5, 15, 0.1, 25, 0.01, 5] with 70.6214846891
Optimal umvcLS: [0.5, 10, 0.1, 25, 0.05, 100] with 106.233835555
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 10, 0.1, 150, 0.05, 100] with 160.040814229
Optimal LS: [0.75, 5, 0.1, 150, 0.01, 5] with 71.8345719734
Optimal umvcLS: [0.75, 5, 0.1, 150, 0.01, 5] with 99.2158742829
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 15, 0.1, 100, 0.05, 100] with 142.074931489
Optimal LS: [0.25, 10, 0.001, 10, 0.005, 2] with 75.2989895401
Optimal umvcLS: [0.25, 100, 0.1, 10, 0.025, 50] with 89.4457219572
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 5, 0.01, 100, 0.05, 100] with 165.084840329
Optimal LS: [0.5, 10, 0.001, 150, 0.025, 50] with 76.9362277704
Optimal umvcLS: [0.25, 100, 0.001, 100, 0.01, 5] with 115.484336187
Proceses Finished for Legendre Dataset:
Optimal GD: [0.25, 15, 0.001, 100, 0.05, 100] with 165.137652058
Optimal LS: [0.75, 15, 0.001, 10, 0.005, 2] with 59.4952618844
Optimal umvcLS: [1.0, 5, 0.01, 150, 0.025, 50] with 79.3588818534
Proceses Finished for Legendre Dataset:
Optimal GD: [0.25, 5, 0.1, 25, 0.025, 50] with 1384.98520365
Optimal LS: [0.25, 10, 0.01, 10, 0.005, 2] with 451.934888754
Optimal umvcLS: [0.5, 10, 0.001, 100, 0.005, 2] with 1704.01685703
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 100, 0.01, 10, 0.05, 100] with 6236.82080931
Optimal LS: [0.5, 100, 0.01, 150, 0.025, 50] with 6479.95139407
Optimal umvcLS: [0.25, 5, 0.1, 25, 0.01, 5] with 6736.81274342
Proceses Finished for Legendre Dataset:
Optimal GD: [0.75, 5, 0.01, 25, 0.005, 2] with 51375.2009425
Optimal LS: [1.0, 5, 0.001, 25, 0.01, 5] with 22841.7390554
Optimal umvcLS: [0.75, 5, 0.001, 10, 0.025, 50] with 58726.5793107
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 5, 0.001, 100, 0.05, 100] with 2122.57770089
Optimal LS: [0.5, 10, 0.1, 100, 0.05, 100] with 1684.84122456
Optimal umvcLS: [0.25, 5, 0.01, 25, 0.025, 50] with 3090.72702254
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 100, 0.001, 150, 0.05, 100] with 178.413636689
Optimal LS: [0.25, 100, 0.1, 10, 0.025, 50] with 70.9511240006
Optimal umvcLS: [0.25, 100, 0.1, 10, 0.025, 50] with 74.3519662738
Proceses Finished for Legendre Dataset:
Optimal GD: [1.0, 100, 0.01, 10, 0.05, 100] with 170.394808309
Optimal LS: [0.5, 10, 0.001, 100, 0.005, 2] with 77.6253608542
Optimal umvcLS: [1.0, 100, 0.01, 10, 0.05, 100] with 107.18714503
Proceses Finished for Legendre Dataset:
Optimal GD: [2.0, 10, 0.001, 50, 0.75, 5] with 128.379613713
Optimal LS: [0.6, 10, 0.01, 125, 0.05, 2] with 79.2611255523
Optimal umvcLS: [1.0, 150, 0.001, 50, 0.1, 50] with 99.1401275037
Proceses Finished for Legendre Dataset:
Optimal GD: [2.0, 10, 0.0005, 100, 0.1, 50] with 562.515493958
Optimal LS: [1.0, 100, 0.001, 125, 0.75, 5] with 504.157597859
Optimal umvcLS: [2.0, 10, 0.0005, 100, 0.1, 50] with 563.728164985
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 200, 0.01, 125, 0.1, 50] with 680.028591545
Optimal LS: [0.6, 100, 0.0005, 125, 0.75, 5] with 441.604935745
Optimal umvcLS: [0.6, 100, 0.0005, 125, 0.75, 5] with 476.800992638
Proceses Finished for Legendre Dataset:
Optimal GD: [0.6, 125, 0.0005, 100, 0.1, 50] with 650.148177893
Optimal LS: [0.6, 125, 0.0005, 100, 0.1, 50] with 491.847083783
Optimal umvcLS: [0.6, 200, 0.01, 125, 0.05, 2] with 552.443844758
Proceses Finished for Legendre Dataset:
Optimal GD: [0.4, 75, 0.01, 50, 0.1, 50] with 619.551072516
Optimal LS: [0.4, 75, 0.01, 50, 0.1, 50] with 481.749694735
Optimal umvcLS: [0.5, 200, 0.0005, 125, 0.75, 5] with 504.813468963
Proceses Finished for Legendre Dataset:
Optimal GD: [0.4, 200, 0.001, 100, 0.1, 50] with 649.377323936
Optimal LS: [0.4, 200, 0.001, 100, 0.1, 50] with 491.668238099
Optimal umvcLS: [0.6, 125, 0.0005, 125, 0.05, 2] with 610.527233338
Proceses Finished for Legendre Dataset:
Optimal GD: [0.6, 75, 0.01, 125, 0.1, 50] with 607.492005461
Optimal LS: [0.6, 75, 0.01, 125, 0.1, 50] with 486.308548822
Optimal umvcLS: [0.6, 125, 0.001, 125, 0.75, 5] with 605.484461936
Proceses Finished for Legendre Dataset:
Optimal GD: [0.6, 125, 0.01, 50, 0.1, 50] with 644.987509664
Optimal LS: [0.6, 200, 0.001, 100, 0.1, 50] with 510.084960102
Optimal umvcLS: [0.6, 200, 0.01, 100, 0.75, 5] with 635.26039047
Proceses Finished for Legendre Dataset:
Optimal GD: [0.5, 100, 0.0005, 50, 0.05, 2] with 579.609999029
Optimal LS: [0.5, 125, 0.01, 125, 0.1, 50] with 489.835651155
Optimal umvcLS: [0.5, 100, 0.0005, 50, 0.05, 2] with 617.119061841