Iteration 1, loss = 5526009.39155152
Iteration 2, loss = 5521030.96747619
Iteration 3, loss = 5513918.77747958
Iteration 4, loss = 5503360.93906644
Iteration 5, loss = 5488744.91312786
Iteration 6, loss = 5468943.96139021
Iteration 7, loss = 5442011.25500002
Iteration 8, loss = 5405929.41143430
Iteration 9, loss = 5359532.71401770
Iteration 10, loss = 5302170.27276899
Iteration 11, loss = 5233092.36529831
Iteration 12, loss = 5151750.38233558
Iteration 13, loss = 5057722.97596615
Iteration 14, loss = 4950656.46586016
Iteration 15, loss = 4830359.24612216
Iteration 16, loss = 4697141.95840205
Iteration 17, loss = 4551118.73438669
Iteration 18, loss = 4392935.24560285
Iteration 19, loss = 4223366.77915567
Iteration 20, loss = 4043265.82035440
Iteration 21, loss = 3853553.71138942
Iteration 22, loss = 3655956.97768650
Iteration 23, loss = 3451733.74481843
Iteration 24, loss = 3242670.69626944
Iteration 25, loss = 3030745.68314583
Iteration 26, loss = 2817734.61542888
Iteration 27, loss = 2605063.60637487
Iteration 28, loss = 2395281.73540515
Iteration 29, loss = 2189678.48972077
Iteration 30, loss = 1990307.26379359
Iteration 31, loss = 1798498.30315708
Iteration 32, loss = 1615895.43304424
Iteration 33, loss = 1443722.35376947
Iteration 34, loss = 1282865.21203096
Iteration 35, loss = 1133869.04603910
Iteration 36, loss = 997496.44216448
Iteration 37, loss = 873799.12635523
Iteration 38, loss = 762485.47872092
Iteration 39, loss = 663750.35095017
Iteration 40, loss = 576534.29230934
Iteration 41, loss = 500571.25605225
Iteration 42, loss = 435008.91478709
Iteration 43, loss = 378693.28979490
Iteration 44, loss = 330826.35323368
Iteration 45, loss = 290377.48515395
Iteration 46, loss = 256485.77485695
Iteration 47, loss = 228214.30717182
Iteration 48, loss = 204663.30061767
Iteration 49, loss = 185129.71972775
Iteration 50, loss = 168988.04507984
Iteration 51, loss = 155562.19064881
Iteration 52, loss = 144429.01446109
Iteration 53, loss = 135136.27433365
Iteration 54, loss = 127342.24079211
Iteration 55, loss = 120835.43979339
Iteration 56, loss = 115331.11643160
Iteration 57, loss = 110644.54130416
Iteration 58, loss = 106669.99594952
Iteration 59, loss = 103270.43087533
Iteration 60, loss = 100352.31134427
Iteration 61, loss = 97837.35850474
Iteration 62, loss = 95674.43315839
Iteration 63, loss = 93798.49584594
Iteration 64, loss = 92178.53615280
Iteration 65, loss = 90763.14326763
Iteration 66, loss = 89546.02341607
Iteration 67, loss = 88485.35739127
Iteration 68, loss = 87557.26022417
Iteration 69, loss = 86739.67979828
Iteration 70, loss = 86040.14034749
Iteration 71, loss = 85405.53232848
Iteration 72, loss = 84851.87165165
Iteration 73, loss = 84367.70329660
Iteration 74, loss = 83921.10732234
Iteration 75, loss = 83534.65406575
Iteration 76, loss = 83187.31404234
Iteration 77, loss = 82862.90752547
Iteration 78, loss = 82571.77679455
Iteration 79, loss = 82295.76370597
Iteration 80, loss = 82055.05119918
Iteration 81, loss = 81819.90244336
Iteration 82, loss = 81605.90693108
Iteration 83, loss = 81398.66234563
Iteration 84, loss = 81198.73277596
Iteration 85, loss = 81003.30178102
Iteration 86, loss = 80815.78273902
Iteration 87, loss = 80643.93141851
Iteration 88, loss = 80470.55025254
Iteration 89, loss = 80303.92621614
Iteration 90, loss = 80139.62252890
Iteration 91, loss = 79978.02368561
Iteration 92, loss = 79820.68006669
Iteration 93, loss = 79671.09965625
Iteration 94, loss = 79514.92702785
Iteration 95, loss = 79367.85794928
Iteration 96, loss = 79210.99698420
Iteration 97, loss = 79055.79500687
Iteration 98, loss = 78905.85826320
Iteration 99, loss = 78738.66281846
Iteration 100, loss = 78567.49098945
Iteration 101, loss = 78408.10486622
Iteration 102, loss = 78243.10149558
Iteration 103, loss = 78066.35698586
Iteration 104, loss = 77924.96583569
Iteration 105, loss = 77740.37925394
Iteration 106, loss = 77584.29423179
Iteration 107, loss = 77429.43197369
Iteration 108, loss = 77262.78204945
Iteration 109, loss = 77109.23431246
Iteration 110, loss = 76953.93605286
Iteration 111, loss = 76795.33066611
Iteration 112, loss = 76651.73606408
Iteration 113, loss = 76508.46389127
Iteration 114, loss = 76369.26744072
Iteration 115, loss = 76236.55900612
Iteration 116, loss = 76102.08334963
Iteration 117, loss = 75971.36976012
Iteration 118, loss = 75855.57136230
Iteration 119, loss = 75729.82227621
Iteration 120, loss = 75625.84830808
Iteration 121, loss = 75474.02620521
Iteration 122, loss = 75344.76903397
Iteration 123, loss = 75227.99107586
Iteration 124, loss = 75096.20836315
Iteration 125, loss = 74962.92532583
Iteration 126, loss = 74835.01570336
Iteration 127, loss = 74705.34725505
Iteration 128, loss = 74580.48105994
Iteration 129, loss = 74451.01372253
Iteration 130, loss = 74331.47075704
Iteration 131, loss = 74204.75322531
Iteration 132, loss = 74098.77761793
Iteration 133, loss = 73983.97372114
Iteration 134, loss = 73859.77581502
Iteration 135, loss = 73758.51377042
Iteration 136, loss = 73659.32591739
Iteration 137, loss = 73545.15006385
Iteration 138, loss = 73471.63900830
Iteration 139, loss = 73337.44100377
Iteration 140, loss = 73231.82276117
Iteration 141, loss = 73133.99406410
Iteration 142, loss = 73022.61669153
Iteration 143, loss = 72936.92592504
Iteration 144, loss = 72834.07431306
Iteration 145, loss = 72735.76123111
Iteration 146, loss = 72636.48071571
Iteration 147, loss = 72517.56404604
Iteration 148, loss = 72433.67601485
Iteration 149, loss = 72337.99619461
Iteration 150, loss = 72238.84764281
Iteration 151, loss = 72160.70160511
Iteration 152, loss = 72066.64892797
Iteration 153, loss = 71992.44241407
Iteration 154, loss = 71887.18994627
Iteration 155, loss = 71807.36876855
Iteration 156, loss = 71699.43049341
Iteration 157, loss = 71632.91312805
Iteration 158, loss = 71546.25886137
Iteration 159, loss = 71462.25368900
Iteration 160, loss = 71367.39732927
Iteration 161, loss = 71273.97756735
Iteration 162, loss = 71193.50037361
Iteration 163, loss = 71082.04329324
Iteration 164, loss = 70992.15180136
Iteration 165, loss = 70906.88475990
Iteration 166, loss = 70802.88541209
Iteration 167, loss = 70702.16623198
Iteration 168, loss = 70595.39340006
Iteration 169, loss = 70489.68362005
Iteration 170, loss = 70394.54828364
Iteration 171, loss = 70302.42069323
Iteration 172, loss = 70174.02194652
Iteration 173, loss = 70098.82919836
Iteration 174, loss = 69982.38719662
Iteration 175, loss = 69883.17642068
Iteration 176, loss = 69807.11231402
Iteration 177, loss = 69731.35728357
Iteration 178, loss = 69621.08784036
Iteration 179, loss = 69558.14571034
Iteration 180, loss = 69432.76103948
Iteration 181, loss = 69352.99873004
Iteration 182, loss = 69269.98065073
Iteration 183, loss = 69179.21510569
Iteration 184, loss = 69081.16655269
Iteration 185, loss = 68989.19362428
Iteration 186, loss = 68886.31489542
Iteration 187, loss = 68783.99693936
Iteration 188, loss = 68674.03463633
Iteration 189, loss = 68578.40936636
Iteration 190, loss = 68470.96478004
Iteration 191, loss = 68362.62656792
Iteration 192, loss = 68208.87183829
Iteration 193, loss = 68066.49211085
Iteration 194, loss = 67892.56851577
Iteration 195, loss = 67725.96677211
Iteration 196, loss = 67556.43600465
Iteration 197, loss = 67336.02851186
Iteration 198, loss = 67147.09983360
Iteration 199, loss = 66942.97297238
Iteration 200, loss = 66736.98241246
Iteration 201, loss = 66566.14379184
Iteration 202, loss = 66406.04489834
Iteration 203, loss = 66201.34643076
Iteration 204, loss = 66024.38015032
Iteration 205, loss = 65864.38634688
Iteration 206, loss = 65674.31266108
Iteration 207, loss = 65480.31169217
Iteration 208, loss = 65298.26380797
Iteration 209, loss = 65101.08432525
Iteration 210, loss = 64745.57705548
Iteration 211, loss = 64490.94574600
Iteration 212, loss = 64218.63943805
Iteration 213, loss = 63987.11486465
Iteration 214, loss = 63752.45348520
Iteration 215, loss = 63549.22773275
Iteration 216, loss = 63301.06543883
Iteration 217, loss = 63061.75275380
Iteration 218, loss = 62846.88726884
Iteration 219, loss = 62599.90823028
Iteration 220, loss = 62338.09004689
Iteration 221, loss = 62063.34692032
Iteration 222, loss = 61804.86268407
Iteration 223, loss = 61560.08931889
Iteration 224, loss = 61311.51770224
Iteration 225, loss = 61063.89909210
Iteration 226, loss = 60820.89053198
Iteration 227, loss = 60545.20468957
Iteration 228, loss = 60318.54870925
Iteration 229, loss = 60066.48306553
Iteration 230, loss = 59780.91445733
Iteration 231, loss = 59529.60090102
Iteration 232, loss = 59265.00204052
Iteration 233, loss = 58959.58170429
Iteration 234, loss = 58679.19893954
Iteration 235, loss = 58378.81982631
Iteration 236, loss = 58077.57739621
Iteration 237, loss = 57777.65256198
Iteration 238, loss = 57476.65028310
Iteration 239, loss = 57178.02014488
Iteration 240, loss = 56866.76890916
Iteration 241, loss = 56530.54722118
Iteration 242, loss = 56196.04955146
Iteration 243, loss = 55850.31893267
Iteration 244, loss = 55491.70464333
Iteration 245, loss = 55041.90814633
Iteration 246, loss = 54600.15839112
Iteration 247, loss = 54176.72783143
Iteration 248, loss = 53800.75324281
Iteration 249, loss = 53445.13063151
Iteration 250, loss = 53104.40777543
Iteration 251, loss = 52717.61987868
Iteration 252, loss = 52372.07594424
Iteration 253, loss = 51997.55868817
Iteration 254, loss = 51615.81684575
Iteration 255, loss = 51238.98108781
Iteration 256, loss = 50820.24023888
Iteration 257, loss = 50388.94802731
Iteration 258, loss = 49978.70967263
Iteration 259, loss = 49527.14485004
Iteration 260, loss = 49119.00228441
Iteration 261, loss = 48743.86260742
Iteration 262, loss = 48352.41391749
Iteration 263, loss = 47970.41742218
Iteration 264, loss = 47607.15891848
Iteration 265, loss = 47211.77044119
Iteration 266, loss = 46838.00589840
Iteration 267, loss = 46449.57011788
Iteration 268, loss = 46029.97342753
Iteration 269, loss = 45633.66129242
Iteration 270, loss = 45184.98149400
Iteration 271, loss = 44734.34048843
Iteration 272, loss = 44269.49975708
Iteration 273, loss = 43770.51067911
Iteration 274, loss = 43290.66470321
Iteration 275, loss = 42827.30525583
Iteration 276, loss = 42368.04750025
Iteration 277, loss = 41929.42640964
Iteration 278, loss = 41477.24494143
Iteration 279, loss = 41033.33329225
Iteration 280, loss = 40604.62902712
Iteration 281, loss = 40174.58453113
Iteration 282, loss = 39732.87110891
Iteration 283, loss = 39308.44395813
Iteration 284, loss = 38896.54456412
Iteration 285, loss = 38462.44511707
Iteration 286, loss = 38066.03745752
Iteration 287, loss = 37655.54971989
Iteration 288, loss = 37249.23818971
Iteration 289, loss = 36882.79728508
Iteration 290, loss = 36489.71920877
Iteration 291, loss = 36136.93924635
Iteration 292, loss = 35768.89675438
Iteration 293, loss = 35412.70296576
Iteration 294, loss = 35056.08060907
Iteration 295, loss = 34726.25712217
Iteration 296, loss = 34369.05837175
Iteration 297, loss = 34054.56356511
Iteration 298, loss = 33733.48503423
Iteration 299, loss = 33391.05819128
Iteration 300, loss = 33084.91254598
Iteration 301, loss = 32767.48390717
Iteration 302, loss = 32468.72026029
Iteration 303, loss = 32177.67610720
Iteration 304, loss = 31900.77924441
Iteration 305, loss = 31626.75093865
Iteration 306, loss = 31381.54601184
Iteration 307, loss = 31121.07272360
Iteration 308, loss = 30884.89468103
Iteration 309, loss = 30658.96270010
Iteration 310, loss = 30424.47879317
Iteration 311, loss = 30226.85517858
Iteration 312, loss = 30030.73877701
Iteration 313, loss = 29855.67645187
Iteration 314, loss = 29696.39234624
Iteration 315, loss = 29486.58164886
Iteration 316, loss = 29337.90498082
Iteration 317, loss = 29183.59240350
Iteration 318, loss = 29029.75823048
Iteration 319, loss = 28885.48264390
Iteration 320, loss = 28751.86258107
Iteration 321, loss = 28620.09214594
Iteration 322, loss = 28502.50990547
Iteration 323, loss = 28369.73689315
Iteration 324, loss = 28253.71549955
Iteration 325, loss = 28135.97071832
Iteration 326, loss = 28039.60584656
Iteration 327, loss = 27920.38649898
Iteration 328, loss = 27832.09995599
Iteration 329, loss = 27737.41175254
Iteration 330, loss = 27641.74962103
Iteration 331, loss = 27562.76678803
Iteration 332, loss = 27489.04634618
Iteration 333, loss = 27407.05115226
Iteration 334, loss = 27342.53918061
Iteration 335, loss = 27259.11326930
Iteration 336, loss = 27199.12011933
Iteration 337, loss = 27134.94902631
Iteration 338, loss = 27078.65704583
Iteration 339, loss = 27018.83986563
Iteration 340, loss = 26972.98383664
Iteration 341, loss = 26929.10994873
Iteration 342, loss = 26865.13074592
Iteration 343, loss = 26814.71563995
Iteration 344, loss = 26768.63666822
Iteration 345, loss = 26717.98275442
Iteration 346, loss = 26699.46345256
Iteration 347, loss = 26662.21408424
Iteration 348, loss = 26602.15093370
Iteration 349, loss = 26564.59670345
Iteration 350, loss = 26521.50942203
Iteration 351, loss = 26490.28861309
Iteration 352, loss = 26465.85210562
Iteration 353, loss = 26419.63604835
Iteration 354, loss = 26397.14221173
Iteration 355, loss = 26392.06786651
Iteration 356, loss = 26331.84442870
Iteration 357, loss = 26318.54172632
Iteration 358, loss = 26267.45302545
Iteration 359, loss = 26266.35461193
Iteration 360, loss = 26226.00726800
Iteration 361, loss = 26191.86339508
Iteration 362, loss = 26176.57710334
Iteration 363, loss = 26149.28731990
Iteration 364, loss = 26130.76902186
Iteration 365, loss = 26096.02338532
Iteration 366, loss = 26085.99038187
Iteration 367, loss = 26066.65490711
Iteration 368, loss = 26037.50587238
Iteration 369, loss = 26028.78521877
Iteration 370, loss = 26002.77293252
Iteration 371, loss = 25977.37485791
Iteration 372, loss = 25962.61688409
Iteration 373, loss = 25940.93165184
Iteration 374, loss = 25917.74933655
Iteration 375, loss = 25904.81747025
Iteration 376, loss = 25882.69930130
Iteration 377, loss = 25868.16660695
Iteration 378, loss = 25842.50667258
Iteration 379, loss = 25845.66676443
Iteration 380, loss = 25818.71922182
Iteration 381, loss = 25798.66254246
Iteration 382, loss = 25790.86599401
Iteration 383, loss = 25756.91365030
Iteration 384, loss = 25755.51412764
Iteration 385, loss = 25734.54628524
Iteration 386, loss = 25740.01334573
Iteration 387, loss = 25720.41558809
Iteration 388, loss = 25683.01961205
Iteration 389, loss = 25680.03983774
Iteration 390, loss = 25667.15364364
Iteration 391, loss = 25645.77064213
Iteration 392, loss = 25661.42362678
Iteration 393, loss = 25640.67770310
Iteration 394, loss = 25601.98045036
Iteration 395, loss = 25596.07622044
Iteration 396, loss = 25593.71028938
Iteration 397, loss = 25578.07502197
Iteration 398, loss = 25563.82414967
Iteration 399, loss = 25559.47659047
Iteration 400, loss = 25538.07510173
Iteration 401, loss = 25524.67474584
Iteration 402, loss = 25519.46924675
Iteration 403, loss = 25503.42268022
Iteration 404, loss = 25487.31754604
Iteration 405, loss = 25472.62101640
Iteration 406, loss = 25473.31918570
Iteration 407, loss = 25459.16920847
Iteration 408, loss = 25446.15278809
Iteration 409, loss = 25429.43440504
Iteration 410, loss = 25414.64892088
Iteration 411, loss = 25431.33535986
Iteration 412, loss = 25401.94913677
Iteration 413, loss = 25402.70891743
Iteration 414, loss = 25385.48863166
Iteration 415, loss = 25367.81896775
Iteration 416, loss = 25351.35838476
Iteration 417, loss = 25354.84920264
Iteration 418, loss = 25338.91774560
Iteration 419, loss = 25334.53316854
Iteration 420, loss = 25316.09051339
Iteration 421, loss = 25303.54634259
Iteration 422, loss = 25303.46992224
Iteration 423, loss = 25279.98376709
Iteration 424, loss = 25264.31836658
Iteration 425, loss = 25251.63284679
Iteration 426, loss = 25237.59909099
Iteration 427, loss = 25225.91955151
Iteration 428, loss = 25216.50518557
Iteration 429, loss = 25197.26884166
Iteration 430, loss = 25189.74248528
Iteration 431, loss = 25181.73925916
Iteration 432, loss = 25178.98617197
Iteration 433, loss = 25176.10710212
Iteration 434, loss = 25150.94099393
Iteration 435, loss = 25123.08497890
Iteration 436, loss = 25129.81778763
Iteration 437, loss = 25124.63889637
Iteration 438, loss = 25129.48608518
Iteration 439, loss = 25114.02971114
Iteration 440, loss = 25086.57017604
Iteration 441, loss = 25077.33303426
Iteration 442, loss = 25071.94469670
Iteration 443, loss = 25060.04967944
Iteration 444, loss = 25055.46784132
Iteration 445, loss = 25045.15503869
Iteration 446, loss = 25043.74906239
Iteration 447, loss = 25031.71248447
Iteration 448, loss = 25028.27509140
Iteration 449, loss = 25014.36974658
Iteration 450, loss = 25006.23451627
Iteration 451, loss = 24989.56960986
Iteration 452, loss = 25015.84168981
Iteration 453, loss = 24988.08912229
Iteration 454, loss = 24986.32356984
Iteration 455, loss = 24975.10418324
Iteration 456, loss = 24966.72130975
Iteration 457, loss = 24961.38855562
Iteration 458, loss = 24959.10451957
Iteration 459, loss = 24937.25482200
Iteration 460, loss = 24947.49504337
Iteration 461, loss = 24945.79704600
Iteration 462, loss = 24928.86393379
Iteration 463, loss = 24927.54894681
Iteration 464, loss = 24915.44167768
Iteration 465, loss = 24916.93931838
Iteration 466, loss = 24905.38599109
Iteration 467, loss = 24901.21679312
Iteration 468, loss = 24897.43867564
Iteration 469, loss = 24893.52846541
Iteration 470, loss = 24900.54900545
Iteration 471, loss = 24891.14944947
Iteration 472, loss = 24874.73750001
Iteration 473, loss = 24882.82225265
Iteration 474, loss = 24872.07062626
Iteration 475, loss = 24868.08914011
Iteration 476, loss = 24873.16343363
Iteration 477, loss = 24842.40875639
Iteration 478, loss = 24854.14042381
Iteration 479, loss = 24859.49559406
Iteration 480, loss = 24848.73942774
Iteration 481, loss = 24861.12970665
Iteration 482, loss = 24829.60236512
Iteration 483, loss = 24853.15693442
Iteration 484, loss = 24815.31966909
Iteration 485, loss = 24824.58559652
Iteration 486, loss = 24808.97685075
Iteration 487, loss = 24814.14725277
Iteration 488, loss = 24796.15080471
Iteration 489, loss = 24803.03048936
Iteration 490, loss = 24804.67794927
Iteration 491, loss = 24781.35605186
Iteration 492, loss = 24795.50725503
Iteration 493, loss = 24790.34498380
Iteration 494, loss = 24786.90963792
Iteration 495, loss = 24775.39058185
Iteration 496, loss = 24775.65465739
Iteration 497, loss = 24778.70834585
Iteration 498, loss = 24758.17982763
Iteration 499, loss = 24772.46157485
Iteration 500, loss = 24751.48003722
Iteration 501, loss = 24752.42236991
Iteration 502, loss = 24752.61301915
Iteration 503, loss = 24752.93303694
Iteration 504, loss = 24743.09402400
Iteration 505, loss = 24764.52697005
Iteration 506, loss = 24730.77301245
Iteration 507, loss = 24725.53149400
Iteration 508, loss = 24735.45082286
Iteration 509, loss = 24731.23478605
Iteration 510, loss = 24715.09250999
Iteration 511, loss = 24717.44109231
Iteration 512, loss = 24707.86154945
Iteration 513, loss = 24704.48013083
Iteration 514, loss = 24709.39381564
Iteration 515, loss = 24699.82159574
Iteration 516, loss = 24705.55646992
Iteration 517, loss = 24707.71652103
Iteration 518, loss = 24692.82003141
Iteration 519, loss = 24690.32449948
Iteration 520, loss = 24672.52774041
Iteration 521, loss = 24682.73395859
Iteration 522, loss = 24674.74916391
Iteration 523, loss = 24662.97515983
Iteration 524, loss = 24663.16586903
Iteration 525, loss = 24663.56214148
Iteration 526, loss = 24649.37892532
Iteration 527, loss = 24654.17531685
Iteration 528, loss = 24654.15170352
Iteration 529, loss = 24652.73394863
Iteration 530, loss = 24640.33704742
Iteration 531, loss = 24633.45377172
Iteration 532, loss = 24649.04492721
Iteration 533, loss = 24625.06783046
Iteration 534, loss = 24625.73910653
Iteration 535, loss = 24624.37588082
Iteration 536, loss = 24619.14192082
Iteration 537, loss = 24620.26362766
Iteration 538, loss = 24632.53916502
Iteration 539, loss = 24605.96135948
Iteration 540, loss = 24614.59720841
Iteration 541, loss = 24595.04854348
Iteration 542, loss = 24603.28966282
Iteration 543, loss = 24600.87222149
Iteration 544, loss = 24596.44775251
Iteration 545, loss = 24578.43876174
Iteration 546, loss = 24588.38644173
Iteration 547, loss = 24579.12147300
Iteration 548, loss = 24572.77307521
Iteration 549, loss = 24578.42428694
Iteration 550, loss = 24573.86779952
Iteration 551, loss = 24564.07683860
Iteration 552, loss = 24564.29560692
Iteration 553, loss = 24567.60312503
Iteration 554, loss = 24568.45786773
Iteration 555, loss = 24576.67743953
Iteration 556, loss = 24548.85681108
Iteration 557, loss = 24552.85180165
Iteration 558, loss = 24544.49539712
Iteration 559, loss = 24544.72591151
Iteration 560, loss = 24537.94094543
Iteration 561, loss = 24542.97820206
Iteration 562, loss = 24539.98081315
Iteration 563, loss = 24538.48026394
Iteration 564, loss = 24528.49074599
Iteration 565, loss = 24529.25375825
Iteration 566, loss = 24522.77351568
Iteration 567, loss = 24520.70931774
Iteration 568, loss = 24529.59991830
Iteration 569, loss = 24513.06054038
Iteration 570, loss = 24519.65812405
Iteration 571, loss = 24517.33141606
Iteration 572, loss = 24514.10723073
Iteration 573, loss = 24495.04849222
Iteration 574, loss = 24501.43615701
Iteration 575, loss = 24508.39513098
Iteration 576, loss = 24487.47157624
Iteration 577, loss = 24486.84135226
Iteration 578, loss = 24482.00469192
Iteration 579, loss = 24487.23524825
Iteration 580, loss = 24509.68334100
Iteration 581, loss = 24482.09610864
Iteration 582, loss = 24474.17824055
Iteration 583, loss = 24500.01283933
Iteration 584, loss = 24474.41134049
Iteration 585, loss = 24464.21506712
Iteration 586, loss = 24469.75139670
Iteration 587, loss = 24477.13223399
Iteration 588, loss = 24487.74369932
Iteration 589, loss = 24465.75858094
Iteration 590, loss = 24458.39779826
Iteration 591, loss = 24454.45965897
Iteration 592, loss = 24456.58712460
Iteration 593, loss = 24453.28449678
Iteration 594, loss = 24444.53968347
Iteration 595, loss = 24449.33466268
Iteration 596, loss = 24453.03888270
Iteration 597, loss = 24446.06330575
Iteration 598, loss = 24434.34711606
Iteration 599, loss = 24430.48489020
Iteration 600, loss = 24426.29723571
Iteration 601, loss = 24422.85489651
Iteration 602, loss = 24420.33605582
Iteration 603, loss = 24421.81965737
Iteration 604, loss = 24418.11297801
Iteration 605, loss = 24439.74662482
Iteration 606, loss = 24411.94411690
Iteration 607, loss = 24443.89850876
Iteration 608, loss = 24418.42686798
Iteration 609, loss = 24405.49024546
Iteration 610, loss = 24397.61974784
Iteration 611, loss = 24416.15072869
Iteration 612, loss = 24417.09344003
Iteration 613, loss = 24425.47498458
Iteration 614, loss = 24399.30361404
Iteration 615, loss = 24395.36077099
Iteration 616, loss = 24398.26564212
Iteration 617, loss = 24382.72832986
Iteration 618, loss = 24383.62454332
Iteration 619, loss = 24382.09088382
Iteration 620, loss = 24377.52407640
Iteration 621, loss = 24400.70257173
Iteration 622, loss = 24385.50494274
Iteration 623, loss = 24383.26382535
Iteration 624, loss = 24364.15551974
Iteration 625, loss = 24385.87933093
Iteration 626, loss = 24375.94471865
Iteration 627, loss = 24371.92008165
Iteration 628, loss = 24362.47154918
Iteration 629, loss = 24373.15092142
Iteration 630, loss = 24350.82401263
Iteration 631, loss = 24356.44013687
Iteration 632, loss = 24353.96799793
Iteration 633, loss = 24346.15432320
Iteration 634, loss = 24343.48402814
Iteration 635, loss = 24352.55854700
Iteration 636, loss = 24339.61107613
Iteration 637, loss = 24333.49717213
Iteration 638, loss = 24345.17744163
Iteration 639, loss = 24338.52944259
Iteration 640, loss = 24324.20337676
Iteration 641, loss = 24332.80841031
Iteration 642, loss = 24320.99018177
Iteration 643, loss = 24328.22755194
Iteration 644, loss = 24338.19856597
Iteration 645, loss = 24333.38752618
Iteration 646, loss = 24324.95150420
Iteration 647, loss = 24313.44043688
Iteration 648, loss = 24309.68342451
Iteration 649, loss = 24315.05986216
Iteration 650, loss = 24309.46841514
Iteration 651, loss = 24300.43435648
Iteration 652, loss = 24305.45001406
Iteration 653, loss = 24294.02444061
Iteration 654, loss = 24296.50402190
Iteration 655, loss = 24297.91846515
Iteration 656, loss = 24299.25117126
Iteration 657, loss = 24290.31122614
Iteration 658, loss = 24293.36795048
Iteration 659, loss = 24294.18097784
Iteration 660, loss = 24278.85566510
Iteration 661, loss = 24292.50939055
Iteration 662, loss = 24281.65565269
Iteration 663, loss = 24286.13111059
Iteration 664, loss = 24285.49793739
Iteration 665, loss = 24272.29662124
Iteration 666, loss = 24273.27856016
Iteration 667, loss = 24281.50006015
Iteration 668, loss = 24262.93010277
Iteration 669, loss = 24255.49501669
Iteration 670, loss = 24258.45381553
Iteration 671, loss = 24263.38034862
Iteration 672, loss = 24277.20412829
Iteration 673, loss = 24266.47708687
Iteration 674, loss = 24255.08152905
Iteration 675, loss = 24249.88367857
Iteration 676, loss = 24258.80067631
Iteration 677, loss = 24260.60577685
Iteration 678, loss = 24253.12733942
Iteration 679, loss = 24249.22479266
Iteration 680, loss = 24250.75221294
Iteration 681, loss = 24268.67519172
Iteration 682, loss = 24242.30102274
Iteration 683, loss = 24232.74709564
Iteration 684, loss = 24234.30135894
Iteration 685, loss = 24236.10228798
Iteration 686, loss = 24241.45493106
Iteration 687, loss = 24234.76403654
Iteration 688, loss = 24237.45876326
Iteration 689, loss = 24234.69116786
Iteration 690, loss = 24237.42517739
Iteration 691, loss = 24248.45180880
Iteration 692, loss = 24217.78042607
Iteration 693, loss = 24236.61961957
Iteration 694, loss = 24221.89026044
Iteration 695, loss = 24214.00370156
Iteration 696, loss = 24214.76407566
Iteration 697, loss = 24214.70463534
Iteration 698, loss = 24221.84075692
Iteration 699, loss = 24214.34352557
Iteration 700, loss = 24214.78474311
Iteration 701, loss = 24209.94189639
Iteration 702, loss = 24220.66468754
Iteration 703, loss = 24224.35258935
Iteration 704, loss = 24217.05477129
Iteration 705, loss = 24215.59769598
Iteration 706, loss = 24193.88018822
Iteration 707, loss = 24211.33374235
Iteration 708, loss = 24210.05493304
Iteration 709, loss = 24193.21936380
Iteration 710, loss = 24200.56364884
Iteration 711, loss = 24187.86419332
Iteration 712, loss = 24186.58315272
Iteration 713, loss = 24192.30441078
Iteration 714, loss = 24185.53277905
Iteration 715, loss = 24181.82707390
Iteration 716, loss = 24187.50960939
Iteration 717, loss = 24196.40255890
Iteration 718, loss = 24192.04349786
Iteration 719, loss = 24192.93738818
Iteration 720, loss = 24204.55877067
Iteration 721, loss = 24171.89514635
Iteration 722, loss = 24173.12585907
Iteration 723, loss = 24166.35294916
Iteration 724, loss = 24159.67719457
Iteration 725, loss = 24178.33259962
Iteration 726, loss = 24164.01868684
Iteration 727, loss = 24189.24462797
Iteration 728, loss = 24164.93386175
Iteration 729, loss = 24159.17418991
Iteration 730, loss = 24162.83207300
Iteration 731, loss = 24163.59464797
Iteration 732, loss = 24177.80823364
Iteration 733, loss = 24172.29781918
Iteration 734, loss = 24160.95361360
Iteration 735, loss = 24162.81582655
Iteration 736, loss = 24159.08744949
Iteration 737, loss = 24168.42307540
Iteration 738, loss = 24153.63506594
Iteration 739, loss = 24170.14393718
Iteration 740, loss = 24143.07013953
Iteration 741, loss = 24150.20109143
Iteration 742, loss = 24152.55860206
Iteration 743, loss = 24145.73132956
Iteration 744, loss = 24159.41672939
Iteration 745, loss = 24148.02461678
Iteration 746, loss = 24144.03961321
Iteration 747, loss = 24142.01925275
Iteration 748, loss = 24153.03574489
Iteration 749, loss = 24137.46738280
Iteration 750, loss = 24147.57088591
Iteration 751, loss = 24160.08666744
Iteration 752, loss = 24138.90480243
Iteration 753, loss = 24137.34157152
Iteration 754, loss = 24137.79135628
Iteration 755, loss = 24141.34413626
Iteration 756, loss = 24133.88737238
Iteration 757, loss = 24127.14746650
Iteration 758, loss = 24144.46314762
Iteration 759, loss = 24133.84480961
Iteration 760, loss = 24135.87466267
Iteration 761, loss = 24133.99142754
Iteration 762, loss = 24130.46181088
Iteration 763, loss = 24120.50462358
Iteration 764, loss = 24130.13009435
Iteration 765, loss = 24116.84375611
Iteration 766, loss = 24130.78600442
Iteration 767, loss = 24146.47162761
Iteration 768, loss = 24123.44461690
Iteration 769, loss = 24123.55694354
Iteration 770, loss = 24134.25181701
Iteration 771, loss = 24123.72620876
Iteration 772, loss = 24114.33596837
Iteration 773, loss = 24129.76240435
Iteration 774, loss = 24140.08622093
Iteration 775, loss = 24127.96246910
Iteration 776, loss = 24110.13843567
Iteration 777, loss = 24115.25072331
Iteration 778, loss = 24126.96528499
Iteration 779, loss = 24114.88149357
Iteration 780, loss = 24109.56383703
Iteration 781, loss = 24103.81933425
Iteration 782, loss = 24116.39125317
Iteration 783, loss = 24121.58377503
Iteration 784, loss = 24107.81965645
Iteration 785, loss = 24114.25928480
Iteration 786, loss = 24117.63501283
Iteration 787, loss = 24105.67808069
Iteration 788, loss = 24105.53329327
Iteration 789, loss = 24106.24584247
Iteration 790, loss = 24100.91344471
Iteration 791, loss = 24108.79807854
Iteration 792, loss = 24118.75615034
Iteration 793, loss = 24096.65494942
Iteration 794, loss = 24107.77719369
Iteration 795, loss = 24103.77591660
Iteration 796, loss = 24108.32438056
Iteration 797, loss = 24122.27252679
Iteration 798, loss = 24098.36596943
Iteration 799, loss = 24095.93209765
Iteration 800, loss = 24104.72964076
Iteration 801, loss = 24102.23677993
Iteration 802, loss = 24094.32903566
Iteration 803, loss = 24099.07211507
Iteration 804, loss = 24104.75197548
Iteration 805, loss = 24100.55388481
Iteration 806, loss = 24103.91752554
Iteration 807, loss = 24089.91038593
Iteration 808, loss = 24101.01603622
Iteration 809, loss = 24088.26480056
Iteration 810, loss = 24102.80534088
Iteration 811, loss = 24084.70908784
Iteration 812, loss = 24092.58352411
Iteration 813, loss = 24094.22036347
Iteration 814, loss = 24100.42401689
Iteration 815, loss = 24099.83269656
Iteration 816, loss = 24083.10801264
Iteration 817, loss = 24089.10580237
Iteration 818, loss = 24096.19923371
Iteration 819, loss = 24080.97851890
Iteration 820, loss = 24096.30158764
Iteration 821, loss = 24076.61520751
Iteration 822, loss = 24094.22490309
Iteration 823, loss = 24081.43879402
Iteration 824, loss = 24094.30087390
Iteration 825, loss = 24075.56764537
Iteration 826, loss = 24089.02282661
Iteration 827, loss = 24076.29358873
Iteration 828, loss = 24089.65735564
Iteration 829, loss = 24081.91563205
Iteration 830, loss = 24099.90305851
Iteration 831, loss = 24069.82654357
Iteration 832, loss = 24075.27474529
Iteration 833, loss = 24081.09808310
Iteration 834, loss = 24072.49909765
Iteration 835, loss = 24065.17063459
Iteration 836, loss = 24082.75877311
Iteration 837, loss = 24071.94559666
Iteration 838, loss = 24081.62551839
Iteration 839, loss = 24069.98628603
Iteration 840, loss = 24067.00754319
Iteration 841, loss = 24064.65258967
Iteration 842, loss = 24079.21989564
Iteration 843, loss = 24064.05964430
Iteration 844, loss = 24069.95438478
Iteration 845, loss = 24077.45275966
Iteration 846, loss = 24050.77918750
Iteration 847, loss = 24078.54426970
Iteration 848, loss = 24076.85277752
Iteration 849, loss = 24076.51088421
Iteration 850, loss = 24064.18582990
Iteration 851, loss = 24075.42785565
Iteration 852, loss = 24063.17166332
Iteration 853, loss = 24060.48874850
Iteration 854, loss = 24059.49998649
Iteration 855, loss = 24059.33152804
Iteration 856, loss = 24054.28714868
Iteration 857, loss = 24063.43881214
Training loss did not improve more than tol=0.000010 for 10 consecutive epochs. Stopping.
train R2 score= 0.8757665807741901
test R2 score= 0.8665886639074808