iterations: 0 training error: 0.17749837497881069
iterations: 100 training error: 0.17410920220516277
iterations: 200 training error: 0.1724969983060984
iterations: 300 training error: 0.17108070529893782
iterations: 400 training error: 0.1702468138625266
iterations: 500 training error: 0.16952502114805681
iterations: 600 training error: 0.16856142911665647
iterations: 700 training error: 0.16794430555108814
iterations: 800 training error: 0.16654894628988304
iterations: 900 training error: 0.16430079703140227
iterations: 1000 training error: 0.16215744146720912
iterations: 1100 training error: 0.1602797047074282
iterations: 1200 training error: 0.15867860378262064
iterations: 1300 training error: 0.15754241881575226
iterations: 1400 training error: 0.1567383276348564
iterations: 1500 training error: 0.15609822996682707
iterations: 1600 training error: 0.1555648269656497
iterations: 1700 training error: 0.15507881104356752
iterations: 1800 training error: 0.15462440127801685
iterations: 1900 training error: 0.15416682116154634
iterations: 2000 training error: 0.1536297807989961
iterations: 2100 training error: 0.15306707302019767
iterations: 2200 training error: 0.15253065119670386
iterations: 2300 training error: 0.1520038497155666
iterations: 2400 training error: 0.1514807444767584
iterations: 2500 training error: 0.15096149492244945
iterations: 2600 training error: 0.150438858086509
iterations: 2700 training error: 0.149902395746727
iterations: 2800 training error: 0.14934659009085782
iterations: 2900 training error: 0.1487727883953936
iterations: 3000 training error: 0.14818756173956124
iterations: 3100 training error: 0.147600367073473
iterations: 3200 training error: 0.147021545498532
iterations: 3300 training error: 0.14646077217265968
iterations: 3400 training error: 0.14592592791579148
iterations: 3500 training error: 0.14542247844596096
iterations: 3600 training error: 0.14495341601219935
iterations: 3700 training error: 0.14451962430944051
iterations: 3800 training error: 0.14412040594761474
iterations: 3900 training error: 0.14375398072004864
iterations: 4000 training error: 0.14341721143274117
iterations: 4100 training error: 0.14310867262403795
iterations: 4200 training error: 0.14282479359214523
iterations: 4300 training error: 0.1425627556136947
iterations: 4400 training error: 0.14231993058452383
iterations: 4500 training error: 0.14209392947431113
iterations: 4600 training error: 0.14188262012393169
iterations: 4700 training error: 0.14168412000429317
iterations: 4800 training error: 0.14149677260821247
iterations: 4900 training error: 0.14131911476310763
iterations: 5000 training error: 0.1411498424902562
iterations: 5100 training error: 0.14098778315401883
iterations: 5200 training error: 0.140831878851269
iterations: 5300 training error: 0.14068118005060126
iterations: 5400 training error: 0.14053484314300765
iterations: 5500 training error: 0.1403921251347895
iterations: 5600 training error: 0.1402523730691855
iterations: 5700 training error: 0.1401150105186679
iterations: 5800 training error: 0.13997952494843036
iterations: 5900 training error: 0.13984545782744293
iterations: 6000 training error: 0.13971239615142125
iterations: 6100 training error: 0.13957996143401846
iterations: 6200 training error: 0.13944779113048864
iterations: 6300 training error: 0.1393155081785987
iterations: 6400 training error: 0.1391826767000433
iterations: 6500 training error: 0.13904874459914301
iterations: 6600 training error: 0.1389129741910568
iterations: 6700 training error: 0.1387743584204166
iterations: 6800 training error: 0.13863151474406124
iterations: 6900 training error: 0.1384825451192044
iterations: 7000 training error: 0.1383248473409112
iterations: 7100 training error: 0.13815484567517658
iterations: 7200 training error: 0.13796755040303924
iterations: 7300 training error: 0.1377557645246083
iterations: 7400 training error: 0.13750880009422636
iterations: 7500 training error: 0.13721116710177184
iterations: 7600 training error: 0.13684342737620298
iterations: 7700 training error: 0.13639012614349755
iterations: 7800 training error: 0.13585803338293445
iterations: 7900 training error: 0.1352902834624845
iterations: 8000 training error: 0.13474834887132778
iterations: 8100 training error: 0.13427432890883187
iterations: 8200 training error: 0.1338766602693511
iterations: 8300 training error: 0.13354120439855008
iterations: 8400 training error: 0.1332494770590914
iterations: 8500 training error: 0.13298783514625
iterations: 8600 training error: 0.13274690857175928
iterations: 8700 training error: 0.1325200433939631
iterations: 8800 training error: 0.13230250178828432
iterations: 8900 training error: 0.13209094289628337
iterations: 9000 training error: 0.13188302971759708
iterations: 9100 training error: 0.13167713751958304
iterations: 9200 training error: 0.13147214308568533
iterations: 9300 training error: 0.13126727117399442
iterations: 9400 training error: 0.1310619788467361
iterations: 9500 training error: 0.13085586518802036
iterations: 9600 training error: 0.1306486003520865
iterations: 9700 training error: 0.13043987276421343
iterations: 9800 training error: 0.13022935568669208
iterations: 9900 training error: 0.13001669285170758
iterations: 10000 training error: 0.12980149661625776
iterations: 10100 training error: 0.12958334350513964
iterations: 10200 training error: 0.12936174784575483
iterations: 10300 training error: 0.12913609987412825
iterations: 10400 training error: 0.12890556501394768
iterations: 10500 training error: 0.1286689436838032
iterations: 10600 training error: 0.12842448350339764
iterations: 10700 training error: 0.1281696292323276
iterations: 10800 training error: 0.12790070195883865
iterations: 10900 training error: 0.12761253278896215
iterations: 11000 training error: 0.12729817924317402
iterations: 11100 training error: 0.1269491031941181
iterations: 11200 training error: 0.12655661318640568
iterations: 11300 training error: 0.12611559347640058
iterations: 11400 training error: 0.12563037088653983
iterations: 11500 training error: 0.12511923829151206
iterations: 11600 training error: 0.12461194756675527
iterations: 11700 training error: 0.12413902647136141
iterations: 11800 training error: 0.12372005048153267
iterations: 11900 training error: 0.12335938444752188
iterations: 12000 training error: 0.12305040969431347
iterations: 12100 training error: 0.12278271487402673
iterations: 12200 training error: 0.12254733187206188
iterations: 12300 training error: 0.12233810125062387
iterations: 12400 training error: 0.12214954804482936
iterations: 12500 training error: 0.12197522243299663
iterations: 12600 training error: 0.12180887040401145
iterations: 12700 training error: 0.12164579266838811
iterations: 12800 training error: 0.1214829252652736
iterations: 12900 training error: 0.12131839853561269
iterations: 13000 training error: 0.12115117788699896
iterations: 13100 training error: 0.12098085503182471
iterations: 13200 training error: 0.12080750436945238
iterations: 13300 training error: 0.12063155188456243
iterations: 13400 training error: 0.12045365322843068
iterations: 13500 training error: 0.12027458976731316
iterations: 13600 training error: 0.1200951770196483
iterations: 13700 training error: 0.11991617067427654
iterations: 13800 training error: 0.11973816535574668
iterations: 13900 training error: 0.11956149905805598
iterations: 14000 training error: 0.11938618430945357
iterations: 14100 training error: 0.11921187984105146
iterations: 14200 training error: 0.11903790125895969
iterations: 14300 training error: 0.11886325862852992
iterations: 14400 training error: 0.11868671107049723
iterations: 14500 training error: 0.1185068403583232
iterations: 14600 training error: 0.11832215367825008
iterations: 14700 training error: 0.1181312162502368
iterations: 14800 training error: 0.11793278967818786
iterations: 14900 training error: 0.11772594087067856
iterations: 15000 training error: 0.11751012238098103
iterations: 15100 training error: 0.1172852897466857
iterations: 15200 training error: 0.1170521215961978
iterations: 15300 training error: 0.11681224952713906
iterations: 15400 training error: 0.11656817869574039
iterations: 15500 training error: 0.11632268439690116
iterations: 15600 training error: 0.1160780562016468
iterations: 15700 training error: 0.11583581907609793
iterations: 15800 training error: 0.11559697366337583
iterations: 15900 training error: 0.11536231099098307
iterations: 16000 training error: 0.11513254263628707
iterations: 16100 training error: 0.11490829139634084
iterations: 16200 training error: 0.11469005033123865
iterations: 16300 training error: 0.11447816110553877
iterations: 16400 training error: 0.11427281694530604
iterations: 16500 training error: 0.11407408073389157
iterations: 16600 training error: 0.11388190837517774
iterations: 16700 training error: 0.11369617051004002
iterations: 16800 training error: 0.11351666864384957
iterations: 16900 training error: 0.11334314432533607
iterations: 17000 training error: 0.11317528217309385
iterations: 17100 training error: 0.11301270901861057
iterations: 17200 training error: 0.11285499195723102
iterations: 17300 training error: 0.11270163770814548
iterations: 17400 training error: 0.1125520947876255
iterations: 17500 training error: 0.11240575913898421
iterations: 17600 training error: 0.11226198339782471
iterations: 17700 training error: 0.11212008990600744
iterations: 17800 training error: 0.11197938758796465
iterations: 17900 training error: 0.11183919229584753
iterations: 18000 training error: 0.11169884853560677
iterations: 18100 training error: 0.11155774710756317
iterations: 18200 training error: 0.11141532848243495
iterations: 18300 training error: 0.1112710578918251
iterations: 18400 training error: 0.11112435989402003
iterations: 18500 training error: 0.11097451413158715
iterations: 18600 training error: 0.1108205447804838
iterations: 18700 training error: 0.11066117163725228
iterations: 18800 training error: 0.11049484587830675
iterations: 18900 training error: 0.11031952493072161
iterations: 19000 training error: 0.11013084783937913
iterations: 19100 training error: 0.10991466674239167
iterations: 19200 training error: 0.10961219482111298
iterations: 19300 training error: 0.10899281230940061
iterations: 19400 training error: 0.10807501416094506
iterations: 19500 training error: 0.1071165817917199
iterations: 19600 training error: 0.10622119222213408
iterations: 19700 training error: 0.10532844240794943
iterations: 19800 training error: 0.10438250262677644
iterations: 19900 training error: 0.10343243845412674
iterations: 20000 training error: 0.10258215391834866
iterations: 20100 training error: 0.10191113786190638
iterations: 20200 training error: 0.10149530054274085
iterations: 20300 training error: 0.10136755543827208
iterations: 20400 training error: 0.1013053812810941
iterations: 20500 training error: 0.1010884181244421
iterations: 20600 training error: 0.10063629216135435
iterations: 20700 training error: 0.09999033303392463
iterations: 20800 training error: 0.09926042313049298
iterations: 20900 training error: 0.09856083676984218
iterations: 21000 training error: 0.09798835521134339
iterations: 21100 training error: 0.09759336354926179
iterations: 21200 training error: 0.09750396271463703
iterations: 21300 training error: 0.09824552401848186
iterations: 21400 training error: 0.09860742976193339
iterations: 21500 training error: 0.09845111484878893
iterations: 21600 training error: 0.09822931286059904
iterations: 21700 training error: 0.09799655051313917
iterations: 21800 training error: 0.09776260846264548
iterations: 21900 training error: 0.09753024357637935
iterations: 22000 training error: 0.09730069314853199
iterations: 22100 training error: 0.0970759127655839
iterations: 22200 training error: 0.09685927798187324
iterations: 22300 training error: 0.09665413785790039
iterations: 22400 training error: 0.09646078901612878
iterations: 22500 training error: 0.09627448970435316
iterations: 22600 training error: 0.09608688562990557
iterations: 22700 training error: 0.09589028752837048
iterations: 22800 training error: 0.09568132638771439
iterations: 22900 training error: 0.09546149276093384
iterations: 23000 training error: 0.09523537645164735
iterations: 23100 training error: 0.09500843407724481
iterations: 23200 training error: 0.09478547029781274
iterations: 23300 training error: 0.09457010395555253
iterations: 23400 training error: 0.09436482688222872
iterations: 23500 training error: 0.09417117068311641
iterations: 23600 training error: 0.09398967545144048
iterations: 23700 training error: 0.09381957195376223
iterations: 23800 training error: 0.09365858290267126
iterations: 23900 training error: 0.09350386407770653
iterations: 24000 training error: 0.09335368730052704
iterations: 24100 training error: 0.09320758070709442
iterations: 24200 training error: 0.09306527808206949
iterations: 24300 training error: 0.09292624305599576
iterations: 24400 training error: 0.09278976470521835
iterations: 24500 training error: 0.09265504019944126
iterations: 24600 training error: 0.09252106457543179
iterations: 24700 training error: 0.09238642392926907
iterations: 24800 training error: 0.09224913456315009
iterations: 24900 training error: 0.09210661345008372
iterations: 25000 training error: 0.09195579496441356
iterations: 25100 training error: 0.09179336624132448
iterations: 25200 training error: 0.09161608341388723
iterations: 25300 training error: 0.09142116386683383
iterations: 25400 training error: 0.09120682919737988
iterations: 25500 training error: 0.0909730396859933
iterations: 25600 training error: 0.09072206694615706
iterations: 25700 training error: 0.09045824785892206
iterations: 25800 training error: 0.09018685630084246
iterations: 25900 training error: 0.08991280204954305
iterations: 26000 training error: 0.08963975922224304
iterations: 26100 training error: 0.08936990232796148
iterations: 26200 training error: 0.08910419668070638
iterations: 26300 training error: 0.0888429534856917
iterations: 26400 training error: 0.08858631493011968
iterations: 26500 training error: 0.08833454131309688
iterations: 26600 training error: 0.08808813239587802
iterations: 26700 training error: 0.08784784266666726
iterations: 26800 training error: 0.08761463337098556
iterations: 26900 training error: 0.08738959299020993
iterations: 27000 training error: 0.08717385258534649
iterations: 27100 training error: 0.08696851485349451
iterations: 27200 training error: 0.086774603451133
iterations: 27300 training error: 0.08659302301360429
iterations: 27400 training error: 0.08642450180558274
iterations: 27500 training error: 0.08626947511411479
iterations: 27600 training error: 0.08612788458509373
iterations: 27700 training error: 0.08599896512902327
iterations: 27800 training error: 0.08588127295922372
iterations: 27900 training error: 0.08576432301382667
iterations: 28000 training error: 0.08597236522047311
iterations: 28100 training error: 0.08501802370211764
iterations: 28200 training error: 0.0861521230652149
iterations: 28300 training error: 0.08452719728666717
iterations: 28400 training error: 0.08675243493787048
iterations: 28500 training error: 0.08641444863332624
iterations: 28600 training error: 0.08714645620981643
iterations: 28700 training error: 0.08406606705041454
iterations: 28800 training error: 0.0868839709327523
iterations: 28900 training error: 0.08628373551752822
iterations: 29000 training error: 0.0852236465014752
iterations: 29100 training error: 0.08555558229832175
iterations: 29200 training error: 0.08369656441760376
iterations: 29300 training error: 0.08477955659693896
iterations: 29400 training error: 0.08540370246414411
iterations: 29500 training error: 0.08516821305200002
iterations: 29600 training error: 0.08726943731604782
iterations: 29700 training error: 0.08515594382328003
iterations: 29800 training error: 0.08400045441105357
iterations: 29900 training error: 0.08591983792979482
iterations: 30000 training error: 0.08650522794443315
iterations: 30100 training error: 0.08614585059432497
iterations: 30200 training error: 0.08711468836540814
iterations: 30300 training error: 0.08455275170271809
iterations: 30400 training error: 0.08265518109062656
iterations: 30500 training error: 0.0867788639023727
iterations: 30600 training error: 0.0840013158716364
iterations: 30700 training error: 0.08598871987005541
iterations: 30800 training error: 0.08394667879963577
iterations: 30900 training error: 0.08608308819557045
iterations: 31000 training error: 0.0826914785649811
iterations: 31100 training error: 0.08420559224627483
iterations: 31200 training error: 0.08791262003307863
iterations: 31300 training error: 0.08676149090182461
iterations: 31400 training error: 0.08426819672183443
iterations: 31500 training error: 0.08457692824552152
iterations: 31600 training error: 0.08476801695788283
iterations: 31700 training error: 0.08219343075178123
iterations: 31800 training error: 0.08619624439525064
iterations: 31900 training error: 0.0824895736640585
iterations: 32000 training error: 0.0845715187717049
iterations: 32100 training error: 0.08418008212422262
iterations: 32200 training error: 0.0833751622985612
iterations: 32300 training error: 0.08480259889583944
iterations: 32400 training error: 0.08451933387731257
iterations: 32500 training error: 0.08299574373546326
iterations: 32600 training error: 0.08419879501454768
iterations: 32700 training error: 0.08392593293256681
iterations: 32800 training error: 0.08233081927815074
iterations: 32900 training error: 0.08308588373514339
iterations: 33000 training error: 0.08346139868772051
iterations: 33100 training error: 0.08194539693867038
iterations: 33200 training error: 0.08415981884329322
iterations: 33300 training error: 0.08445180279007797
iterations: 33400 training error: 0.08398747741318796
iterations: 33500 training error: 0.08071110736406834
iterations: 33600 training error: 0.08179585601621234
iterations: 33700 training error: 0.0836878143102405
iterations: 33800 training error: 0.08459042533516281
iterations: 33900 training error: 0.08077606306171903
iterations: 34000 training error: 0.0833218421826568
iterations: 34100 training error: 0.08231529154265496
iterations: 34200 training error: 0.08163923088155152
iterations: 34300 training error: 0.08357387495635796
iterations: 34400 training error: 0.08400132936754318
iterations: 34500 training error: 0.08236747824655422
iterations: 34600 training error: 0.08250903950277591
iterations: 34700 training error: 0.08129277970944604
iterations: 34800 training error: 0.08176621698717423
iterations: 34900 training error: 0.08050757285570179
iterations: 35000 training error: 0.08064756394020468
iterations: 35100 training error: 0.08104324570538897
iterations: 35200 training error: 0.08356871584953676
iterations: 35300 training error: 0.08203813551941244
iterations: 35400 training error: 0.08222088044972825
iterations: 35500 training error: 0.08073801526828381
iterations: 35600 training error: 0.08197764340404001
iterations: 35700 training error: 0.08364415434392873
iterations: 35800 training error: 0.08202451440022271
iterations: 35900 training error: 0.08191114404008304
iterations: 36000 training error: 0.08208231662921875
iterations: 36100 training error: 0.08220610581353903
iterations: 36200 training error: 0.08286745295575097
iterations: 36300 training error: 0.08258284348096499
iterations: 36400 training error: 0.08428938738652436
iterations: 36500 training error: 0.08236500970872243
iterations: 36600 training error: 0.08144458914438359
iterations: 36700 training error: 0.08305621469507916
iterations: 36800 training error: 0.0816345410408176
iterations: 36900 training error: 0.08356823839953527
iterations: 37000 training error: 0.08315013108502924
iterations: 37100 training error: 0.08213597165825033
iterations: 37200 training error: 0.08219025873273114
iterations: 37300 training error: 0.08347232734175294
iterations: 37400 training error: 0.09275318416423554
iterations: 37500 training error: 0.08188656570509721
iterations: 37600 training error: 0.08340338131451581
iterations: 37700 training error: 0.08852985243536182
iterations: 37800 training error: 0.08283380832009027
iterations: 37900 training error: 0.08327186397710085
iterations: 38000 training error: 0.08400732091704119
iterations: 38100 training error: 0.08506725857021548
iterations: 38200 training error: 0.0845548958281197
iterations: 38300 training error: 0.08601279370758955
iterations: 38400 training error: 0.08732168789488762
iterations: 38500 training error: 0.08143610948349034
iterations: 38600 training error: 0.08247717154313863
iterations: 38700 training error: 0.0807018328866985
iterations: 38800 training error: 0.10300854858921689
iterations: 38900 training error: 0.08384262435833353
iterations: 39000 training error: 0.07995531879105493
iterations: 39100 training error: 0.08305239395199535
iterations: 39200 training error: 0.08270132059213756
iterations: 39300 training error: 0.08589137993166607
iterations: 39400 training error: 0.0832196789531982
iterations: 39500 training error: 0.08111758587547285
iterations: 39600 training error: 0.08140336722500142
iterations: 39700 training error: 0.0819960891822235
iterations: 39800 training error: 0.0818352314486107
iterations: 39900 training error: 0.08066362446118265
iterations: 40000 training error: 0.08671954576339352
iterations: 40100 training error: 0.0810396230891489
iterations: 40200 training error: 0.0823864617773177
iterations: 40300 training error: 0.08212870955545858
iterations: 40400 training error: 0.0842640811071619
iterations: 40500 training error: 0.08450783228091747
iterations: 40600 training error: 0.08302282317366441
iterations: 40700 training error: 0.10888558164916182
iterations: 40800 training error: 0.0824137721316729
iterations: 40900 training error: 0.08353200311090184
iterations: 41000 training error: 0.08361726044012752
iterations: 41100 training error: 0.08131686530711187
iterations: 41200 training error: 0.08351462617253834
iterations: 41300 training error: 0.08231311092950029
iterations: 41400 training error: 0.07929939142587998
iterations: 41500 training error: 0.07899139374917057
iterations: 41600 training error: 0.08096478203588464
iterations: 41700 training error: 0.08071475967336987
iterations: 41800 training error: 0.07969156132649577
iterations: 41900 training error: 0.08001557958656524
iterations: 42000 training error: 0.07725155110469477
iterations: 42100 training error: 0.07705748293993875
iterations: 42200 training error: 0.07634985506391861
iterations: 42300 training error: 0.07663715387265213
iterations: 42400 training error: 0.08021237238928661
iterations: 42500 training error: 0.07679968906453047
iterations: 42600 training error: 0.07787713388920363
iterations: 42700 training error: 0.07939657438458131
iterations: 42800 training error: 0.07828885407889574
iterations: 42900 training error: 0.07936154774006829
iterations: 43000 training error: 0.08507650946426598
iterations: 43100 training error: 0.08006818554396712
iterations: 43200 training error: 0.08447430604503302
iterations: 43300 training error: 0.07859430960128892
iterations: 43400 training error: 0.08092895839550499
iterations: 43500 training error: 0.09298307708257592
iterations: 43600 training error: 0.08203059766851811
iterations: 43700 training error: 0.07862374513547632
iterations: 43800 training error: 0.079238986276791
iterations: 43900 training error: 0.07756178943184712
iterations: 44000 training error: 0.07988742036475006
iterations: 44100 training error: 0.08341430462269277
iterations: 44200 training error: 0.07687090786786191
iterations: 44300 training error: 0.075692515973194
iterations: 44400 training error: 0.07837022046371173
iterations: 44500 training error: 0.07998461815566907
iterations: 44600 training error: 0.08223700652860386
iterations: 44700 training error: 0.08064005893492984
iterations: 44800 training error: 0.0744898546736098
iterations: 44900 training error: 0.08253784278167511
iterations: 45000 training error: 0.08245125934553608
iterations: 45100 training error: 0.07820137483988793
iterations: 45200 training error: 0.07690097135893495
iterations: 45300 training error: 0.08309208146116195
iterations: 45400 training error: 0.08321606234069925
iterations: 45500 training error: 0.07626046930237342
iterations: 45600 training error: 0.0776460193293559
iterations: 45700 training error: 0.08192361919604217
iterations: 45800 training error: 0.07621476470548745
iterations: 45900 training error: 0.0738246052283486
iterations: 46000 training error: 0.07508490789776068
iterations: 46100 training error: 0.08062092441171406
iterations: 46200 training error: 0.08092427954320448
iterations: 46300 training error: 0.07396492015364003
iterations: 46400 training error: 0.07962154292728264
iterations: 46500 training error: 0.0742070410643561
iterations: 46600 training error: 0.07765301507783397
iterations: 46700 training error: 0.07594609815728637
iterations: 46800 training error: 0.07584084145384841
iterations: 46900 training error: 0.07600436419017284
iterations: 47000 training error: 0.0995721371998679
iterations: 47100 training error: 0.07812154546087022
iterations: 47200 training error: 0.08220419323143272
iterations: 47300 training error: 0.07941060431625169
iterations: 47400 training error: 0.07572921408863863
iterations: 47500 training error: 0.0752477645328314
iterations: 47600 training error: 0.07415246093880543
iterations: 47700 training error: 0.07737512196369443
iterations: 47800 training error: 0.07636949610104966
iterations: 47900 training error: 0.09303928339808529
iterations: 48000 training error: 0.07355262125040016
iterations: 48100 training error: 0.07990399451201262
iterations: 48200 training error: 0.08443435955325256
iterations: 48300 training error: 0.08294442487544142
iterations: 48400 training error: 0.07754595003157039
iterations: 48500 training error: 0.09201121186236083
iterations: 48600 training error: 0.0873519464853401
iterations: 48700 training error: 0.07826382140628581
iterations: 48800 training error: 0.09350038623117722
iterations: 48900 training error: 0.07842132468431516
iterations: 49000 training error: 0.07477309803596706
iterations: 49100 training error: 0.07448846252867147
iterations: 49200 training error: 0.09273202603716191
iterations: 49300 training error: 0.07223269558711128
iterations: 49400 training error: 0.08940731795251562
iterations: 49500 training error: 0.07470392793412677
iterations: 49600 training error: 0.07664889630938292
iterations: 49700 training error: 0.07316736366704751
iterations: 49800 training error: 0.07776557821339032
iterations: 49900 training error: 0.08087453708552146
iterations: 50000 training error: 0.07941081007744685
iterations: 50100 training error: 0.0790967106901265
iterations: 50200 training error: 0.07916857111294787
iterations: 50300 training error: 0.08191988831789522
iterations: 50400 training error: 0.07959423511740134
iterations: 50500 training error: 0.07979105855838059
iterations: 50600 training error: 0.07979126948095017
iterations: 50700 training error: 0.07946889146676388
iterations: 50800 training error: 0.07922574210542674
iterations: 50900 training error: 0.07903080539258876
iterations: 51000 training error: 0.0796665237966587
iterations: 51100 training error: 0.07912769949918523
iterations: 51200 training error: 0.07888589871199053
iterations: 51300 training error: 0.07857567114406896
iterations: 51400 training error: 0.07804104958562053
iterations: 51500 training error: 0.0775895967056651
iterations: 51600 training error: 0.07718940040229524
iterations: 51700 training error: 0.07664879583398318
iterations: 51800 training error: 0.07620577276403
iterations: 51900 training error: 0.07589209937856423
iterations: 52000 training error: 0.07564885623363563
iterations: 52100 training error: 0.07544925217470386
iterations: 52200 training error: 0.07528488257593098
iterations: 52300 training error: 0.07515521995748074
iterations: 52400 training error: 0.07506821112988246
iterations: 52500 training error: 0.07504633200534633
iterations: 52600 training error: 0.07510430644780737
iterations: 52700 training error: 0.07519135638696142
iterations: 52800 training error: 0.07527252145431103
iterations: 52900 training error: 0.07534834357287758
iterations: 53000 training error: 0.07542659229472685
iterations: 53100 training error: 0.0755173893853567
iterations: 53200 training error: 0.07563411492123073
iterations: 53300 training error: 0.07574001544838443
iterations: 53400 training error: 0.07653291895248535
iterations: 53500 training error: 0.07526921504759491
iterations: 53600 training error: 0.07493564890175579
iterations: 53700 training error: 0.07425646890780233
iterations: 53800 training error: 0.0738437717588198
iterations: 53900 training error: 0.07394911276842263
iterations: 54000 training error: 0.0739156651307757
iterations: 54100 training error: 0.0736456257199952
iterations: 54200 training error: 0.0735010985170753
iterations: 54300 training error: 0.07343741517377414
iterations: 54400 training error: 0.0733760823966046
iterations: 54500 training error: 0.07329210814044443
iterations: 54600 training error: 0.07320493403812607
iterations: 54700 training error: 0.07313250116394253
iterations: 54800 training error: 0.07307050655133408
iterations: 54900 training error: 0.07301026301018934
iterations: 55000 training error: 0.07295132379703205
iterations: 55100 training error: 0.07289695756031077
iterations: 55200 training error: 0.07284923410170034
iterations: 55300 training error: 0.0728100023187042
iterations: 55400 training error: 0.07278266779820147
iterations: 55500 training error: 0.07277264331544876
iterations: 55600 training error: 0.07278774672267004
iterations: 55700 training error: 0.07283982725778024
iterations: 55800 training error: 0.07294967602660488
iterations: 55900 training error: 0.0731710772118256
iterations: 56000 training error: 0.07352965719310993
iterations: 56100 training error: 0.07296832700673407
iterations: 56200 training error: 0.07264785303470801
iterations: 56300 training error: 0.07242445258905125
iterations: 56400 training error: 0.07224031362666589
iterations: 56500 training error: 0.07207128327459747
iterations: 56600 training error: 0.07190576945849705
iterations: 56700 training error: 0.07160089917021102
iterations: 56800 training error: 0.0711429426183703
iterations: 56900 training error: 0.07078723200487251
iterations: 57000 training error: 0.07104976281626978
iterations: 57100 training error: 0.07076169175770822
iterations: 57200 training error: 0.07066003059384712
iterations: 57300 training error: 0.07057654408904937
iterations: 57400 training error: 0.07049969274819019
iterations: 57500 training error: 0.07063032672052644
iterations: 57600 training error: 0.07103675724190237
iterations: 57700 training error: 0.07156829228400677
iterations: 57800 training error: 0.07183112579561
iterations: 57900 training error: 0.0718819530965467
iterations: 58000 training error: 0.07187721685360458
iterations: 58100 training error: 0.07187418508618519
iterations: 58200 training error: 0.07164842296140805
iterations: 58300 training error: 0.07169840000861631
iterations: 58400 training error: 0.07157545198759116
iterations: 58500 training error: 0.07149143427594763
iterations: 58600 training error: 0.07149239418853386
iterations: 58700 training error: 0.07165453580543715
iterations: 58800 training error: 0.07131908390477658
iterations: 58900 training error: 0.0702737545707027
iterations: 59000 training error: 0.07004842660249407
iterations: 59100 training error: 0.06990427696457767
iterations: 59200 training error: 0.06981052714833712
iterations: 59300 training error: 0.06967911083753857
iterations: 59400 training error: 0.07262192163600693
iterations: 59500 training error: 0.07323571065284395
iterations: 59600 training error: 0.06911770219683175
iterations: 59700 training error: 0.06851363672555844
iterations: 59800 training error: 0.06948315779171473
iterations: 59900 training error: 0.06612006925976069
iterations: 60000 training error: 0.06734676247550175
iterations: 60100 training error: 0.06807252745246069
iterations: 60200 training error: 0.0652292673775965
iterations: 60300 training error: 0.06918192154681733
iterations: 60400 training error: 0.06562129584294592
iterations: 60500 training error: 0.06649412944259558
iterations: 60600 training error: 0.06857703926422355
iterations: 60700 training error: 0.06561289553282097
iterations: 60800 training error: 0.06574012203776407
iterations: 60900 training error: 0.06895429063581637
iterations: 61000 training error: 0.06541521687824366
iterations: 61100 training error: 0.0649846501621878
iterations: 61200 training error: 0.07436110419223205
iterations: 61300 training error: 0.06402227259024247
iterations: 61400 training error: 0.06903660831615271
iterations: 61500 training error: 0.06786769044048556
iterations: 61600 training error: 0.07015712325158266
iterations: 61700 training error: 0.06909773252967122
iterations: 61800 training error: 0.06846321677990246
iterations: 61900 training error: 0.06828444600039774
iterations: 62000 training error: 0.06927267490325362
iterations: 62100 training error: 0.06801289355376884
iterations: 62200 training error: 0.06867478733458736
iterations: 62300 training error: 0.06751583214978814
iterations: 62400 training error: 0.06798813362036303
iterations: 62500 training error: 0.06774398508518256
iterations: 62600 training error: 0.06780938339510763
iterations: 62700 training error: 0.06753993961479549
iterations: 62800 training error: 0.06761529032714532
iterations: 62900 training error: 0.0679685165322171
iterations: 63000 training error: 0.06701059223501674
iterations: 63100 training error: 0.06870819320264479
iterations: 63200 training error: 0.06808633840115953
iterations: 63300 training error: 0.06788789773926346
iterations: 63400 training error: 0.0670823346516653
iterations: 63500 training error: 0.06775811359512773
iterations: 63600 training error: 0.0678009031005944
iterations: 63700 training error: 0.06657719402321383
iterations: 63800 training error: 0.06688274660769475
iterations: 63900 training error: 0.06549451421670009
iterations: 64000 training error: 0.08755965272579905
iterations: 64100 training error: 0.06726894547545999
iterations: 64200 training error: 0.06562089719391068
iterations: 64300 training error: 0.06644935307134181
iterations: 64400 training error: 0.06936378213516527
iterations: 64500 training error: 0.06693050686054092
iterations: 64600 training error: 0.07357089981115289
iterations: 64700 training error: 0.07047938105825492
iterations: 64800 training error: 0.07367514550815417
iterations: 64900 training error: 0.07166408057449628
iterations: 65000 training error: 0.07051131418677747
iterations: 65100 training error: 0.07214174998196062
iterations: 65200 training error: 0.07482281565312345
iterations: 65300 training error: 0.07470961212981195
iterations: 65400 training error: 0.07227580946027447
iterations: 65500 training error: 0.07064008729466406
iterations: 65600 training error: 0.07226658343872586
iterations: 65700 training error: 0.07469093198274736
iterations: 65800 training error: 0.07217739907257219
iterations: 65900 training error: 0.0728070321611884
iterations: 66000 training error: 0.07019777947820786
iterations: 66100 training error: 0.07048186515594232
iterations: 66200 training error: 0.07369300876805092
iterations: 66300 training error: 0.07054746536412423
iterations: 66400 training error: 0.07109947153230298
iterations: 66500 training error: 0.072968768705675
iterations: 66600 training error: 0.06855675535367821
iterations: 66700 training error: 0.06991278250791057
iterations: 66800 training error: 0.06915799078292728
iterations: 66900 training error: 0.07081623490568098
iterations: 67000 training error: 0.06916776593477078
iterations: 67100 training error: 0.07357386551360565
iterations: 67200 training error: 0.07273344499657716
iterations: 67300 training error: 0.06997379711819271
iterations: 67400 training error: 0.0705848325079862
iterations: 67500 training error: 0.07363498785855599
iterations: 67600 training error: 0.08136005834538156
iterations: 67700 training error: 0.07222479698804751
iterations: 67800 training error: 0.07224038582693337
iterations: 67900 training error: 0.07860657946512616
iterations: 68000 training error: 0.07750097640095814
iterations: 68100 training error: 0.08611029347271862
iterations: 68200 training error: 0.06951364562523055
iterations: 68300 training error: 0.07069422250648368
iterations: 68400 training error: 0.07253928764807455
iterations: 68500 training error: 0.07461989573558131
iterations: 68600 training error: 0.07369441707916194
iterations: 68700 training error: 0.0734108654448996
iterations: 68800 training error: 0.07238368563849931
iterations: 68900 training error: 0.0714412716511335
iterations: 69000 training error: 0.07369022965861179
iterations: 69100 training error: 0.0716345196924895
iterations: 69200 training error: 0.07093901770713434
iterations: 69300 training error: 0.07105766591472983
iterations: 69400 training error: 0.07148237722101665
iterations: 69500 training error: 0.07132548635205346
iterations: 69600 training error: 0.07219468304314082
iterations: 69700 training error: 0.07041739064046294
iterations: 69800 training error: 0.07026960325645462
iterations: 69900 training error: 0.07022117952770693
iterations: 70000 training error: 0.07035042536098869
iterations: 70100 training error: 0.0704952283820426
iterations: 70200 training error: 0.0706608858119566
iterations: 70300 training error: 0.07091002276359398
iterations: 70400 training error: 0.07122730626316824
iterations: 70500 training error: 0.07148309329489555
iterations: 70600 training error: 0.07158746096024853
iterations: 70700 training error: 0.07160884021907632
iterations: 70800 training error: 0.07160853789654859
iterations: 70900 training error: 0.07733228149975704
iterations: 71000 training error: 0.07649138919874501
iterations: 71100 training error: 0.07665487894057114
iterations: 71200 training error: 0.07579327203874898
iterations: 71300 training error: 0.07534008099064109
iterations: 71400 training error: 0.0752250399068239
iterations: 71500 training error: 0.075131243576349
iterations: 71600 training error: 0.07509285882431702
iterations: 71700 training error: 0.07541177300400068
iterations: 71800 training error: 0.07488411063582899
iterations: 71900 training error: 0.07265761067854441
iterations: 72000 training error: 0.07300010625606691
iterations: 72100 training error: 0.07288845116698241
iterations: 72200 training error: 0.07533051583096936
iterations: 72300 training error: 0.07653832049618083
iterations: 72400 training error: 0.07606737156730539
iterations: 72500 training error: 0.07545745016092936
iterations: 72600 training error: 0.07469786341874962
iterations: 72700 training error: 0.07307203566388704
iterations: 72800 training error: 0.07302556559988234
iterations: 72900 training error: 0.0730256447146755
iterations: 73000 training error: 0.07241399180262793
iterations: 73100 training error: 0.07188815152252448
iterations: 73200 training error: 0.07157397642310934
iterations: 73300 training error: 0.07152381289467864
iterations: 73400 training error: 0.07157899189429066
iterations: 73500 training error: 0.07187018352224138
iterations: 73600 training error: 0.07483563110909495
iterations: 73700 training error: 0.07129046492812281
iterations: 73800 training error: 0.0712311320224043
iterations: 73900 training error: 0.07146302799535272
iterations: 74000 training error: 0.07162091990866694
iterations: 74100 training error: 0.07452033407864125
iterations: 74200 training error: 0.0751010509236299
iterations: 74300 training error: 0.07474287598502412
iterations: 74400 training error: 0.07389315926692044
iterations: 74500 training error: 0.07221690758113516
iterations: 74600 training error: 0.07319650016000989
iterations: 74700 training error: 0.0729432708678614
iterations: 74800 training error: 0.07255164143274435
iterations: 74900 training error: 0.07171302640083721
iterations: 75000 training error: 0.07163354571838763
iterations: 75100 training error: 0.07033383022157194
iterations: 75200 training error: 0.07023688709978894
iterations: 75300 training error: 0.06973747741744823
iterations: 75400 training error: 0.06909464055521064
iterations: 75500 training error: 0.06815847248404776
iterations: 75600 training error: 0.0693648227012293
iterations: 75700 training error: 0.06917870359410053
iterations: 75800 training error: 0.06926526790377893
iterations: 75900 training error: 0.06948770787329228
iterations: 76000 training error: 0.0697830868270996
iterations: 76100 training error: 0.07003143166413353
iterations: 76200 training error: 0.07021843736319364
iterations: 76300 training error: 0.07042479327891199
iterations: 76400 training error: 0.07065015996979294
iterations: 76500 training error: 0.06494201793969918
iterations: 76600 training error: 0.06515209113386461
iterations: 76700 training error: 0.0647797425965209
iterations: 76800 training error: 0.06510575861386768
iterations: 76900 training error: 0.06566732161161179
iterations: 77000 training error: 0.06490816478429866
iterations: 77100 training error: 0.07104827420414077
iterations: 77200 training error: 0.06447154893143545
iterations: 77300 training error: 0.0677211901273884
iterations: 77400 training error: 0.06251627078465367
iterations: 77500 training error: 0.06724026626957993
iterations: 77600 training error: 0.06406232721986299
iterations: 77700 training error: 0.07613642076743318
iterations: 77800 training error: 0.06470321442189149
iterations: 77900 training error: 0.06337691136112426
iterations: 78000 training error: 0.09116116278406958
iterations: 78100 training error: 0.07208027831684005
iterations: 78200 training error: 0.07159021016479662
iterations: 78300 training error: 0.0741360350364689
iterations: 78400 training error: 0.07365395675664997
iterations: 78500 training error: 0.0689170842032826
iterations: 78600 training error: 0.07314862639908118
iterations: 78700 training error: 0.07125984766873088
iterations: 78800 training error: 0.06184281007301291
iterations: 78900 training error: 0.07109226471160093
iterations: 79000 training error: 0.07109364033092049
iterations: 79100 training error: 0.07034081290009656
iterations: 79200 training error: 0.06787681867975762
iterations: 79300 training error: 0.0627827685855837
iterations: 79400 training error: 0.06614416904851902
iterations: 79500 training error: 0.06756173482327746
iterations: 79600 training error: 0.06280147390763989
iterations: 79700 training error: 0.07129982613138135
iterations: 79800 training error: 0.06589694119607259
iterations: 79900 training error: 0.06756779800043881
iterations: 80000 training error: 0.06522183367948947
iterations: 80100 training error: 0.07212112227807378
iterations: 80200 training error: 0.06319980294680197
iterations: 80300 training error: 0.06930202327148909
iterations: 80400 training error: 0.0643928458608379
iterations: 80500 training error: 0.06614447406619746
iterations: 80600 training error: 0.06949837612069662
iterations: 80700 training error: 0.06431980943729475
iterations: 80800 training error: 0.07784275988212533
iterations: 80900 training error: 0.06533794805061048
iterations: 81000 training error: 0.07572878735590545
iterations: 81100 training error: 0.06580397495412274
iterations: 81200 training error: 0.07822484105532211
iterations: 81300 training error: 0.06354716497480417
iterations: 81400 training error: 0.06458304100483916
iterations: 81500 training error: 0.06450547442238999
iterations: 81600 training error: 0.06438719900251662
iterations: 81700 training error: 0.06431235832778853
iterations: 81800 training error: 0.06404235357308097
iterations: 81900 training error: 0.06337504081040163
iterations: 82000 training error: 0.0641002629894909
iterations: 82100 training error: 0.06127250650208803
iterations: 82200 training error: 0.06279131979889656
iterations: 82300 training error: 0.06065700093470771
iterations: 82400 training error: 0.06261474465570772
iterations: 82500 training error: 0.06369677687824052
iterations: 82600 training error: 0.06253442210975865
iterations: 82700 training error: 0.06310997894664809
iterations: 82800 training error: 0.06213883503648882
iterations: 82900 training error: 0.1778368338229291
iterations: 83000 training error: 0.06311294920872118
iterations: 83100 training error: 0.06293664882019802
iterations: 83200 training error: 0.06279966047398217
iterations: 83300 training error: 0.06152483816803527
iterations: 83400 training error: 0.06309279729747254
iterations: 83500 training error: 0.06714590396099311
iterations: 83600 training error: 0.06156400463295585
iterations: 83700 training error: 0.06300594065459374
iterations: 83800 training error: 0.06678042498388034
iterations: 83900 training error: 0.06711091390072953
iterations: 84000 training error: 0.06945302239987552
iterations: 84100 training error: 0.07158587205928169
iterations: 84200 training error: 0.06339894825106182
iterations: 84300 training error: 0.06380112459469131
iterations: 84400 training error: 0.06395979756109466
iterations: 84500 training error: 0.06665297016989631
iterations: 84600 training error: 0.06435599668128218
iterations: 84700 training error: 0.06672069524374284
iterations: 84800 training error: 0.0692948062774883
iterations: 84900 training error: 0.06836665806676911
iterations: 85000 training error: 0.0650961562753509
iterations: 85100 training error: 0.0681427036192432
iterations: 85200 training error: 0.06028199800967329
iterations: 85300 training error: 0.06436711719990297
iterations: 85400 training error: 0.1265255609596601
iterations: 85500 training error: 0.11747504088557384
iterations: 85600 training error: 0.11418549452345765
iterations: 85700 training error: 0.1120363146181854
iterations: 85800 training error: 0.1050943861295642
iterations: 85900 training error: 0.10558701178135471
iterations: 86000 training error: 0.10523523450201465
iterations: 86100 training error: 0.10384575498041558
iterations: 86200 training error: 0.1022126044620272
iterations: 86300 training error: 0.10188683698490776
iterations: 86400 training error: 0.10131467188824035
iterations: 86500 training error: 0.10096894117193604
iterations: 86600 training error: 0.10068620740813561
iterations: 86700 training error: 0.10046961580089654
iterations: 86800 training error: 0.10027675992368387
iterations: 86900 training error: 0.10009111728160686
iterations: 87000 training error: 0.0993451447344122
iterations: 87100 training error: 0.09934884219624036
iterations: 87200 training error: 0.09924565757039765
iterations: 87300 training error: 0.09939552301182945
iterations: 87400 training error: 0.09963664271673825
iterations: 87500 training error: 0.09956101086685294
iterations: 87600 training error: 0.09955297639037597
iterations: 87700 training error: 0.09954389710103798
iterations: 87800 training error: 0.09953806712902255
iterations: 87900 training error: 0.09960785140495987
iterations: 88000 training error: 0.10188864604915174
iterations: 88100 training error: 0.06613510871000862
iterations: 88200 training error: 0.06376090183052019
iterations: 88300 training error: 0.06311341253812942
iterations: 88400 training error: 0.0629634209896307
iterations: 88500 training error: 0.06284194134219313
iterations: 88600 training error: 0.06276541116600876
iterations: 88700 training error: 0.06691775318656207
iterations: 88800 training error: 0.06989503599792678
iterations: 88900 training error: 0.06598947978115606
iterations: 89000 training error: 0.0660990436223863
iterations: 89100 training error: 0.06832465990858386
iterations: 89200 training error: 0.06958124875208394
iterations: 89300 training error: 0.07002912858460737
iterations: 89400 training error: 0.06723120127200262
iterations: 89500 training error: 0.06734369576651873
iterations: 89600 training error: 0.06513295270997282
iterations: 89700 training error: 0.06495618026039543
iterations: 89800 training error: 0.0608924260949005
iterations: 89900 training error: 0.06996561040195493
iterations: 90000 training error: 0.06117750625724028
iterations: 90100 training error: 0.05927240384269842
iterations: 90200 training error: 0.05355521902616961
iterations: 90300 training error: 0.05391418982845206
iterations: 90400 training error: 0.06254448012653209
iterations: 90500 training error: 0.05744288460684259
iterations: 90600 training error: 0.05873058976785302
iterations: 90700 training error: 0.059101741612891015
iterations: 90800 training error: 0.058902579819058054
iterations: 90900 training error: 0.06002948597838135
iterations: 91000 training error: 0.05631806282474768
iterations: 91100 training error: 0.06925470810947884
iterations: 91200 training error: 0.05512566136604977
iterations: 91300 training error: 0.055781146538232115
iterations: 91400 training error: 0.05906700320263586
iterations: 91500 training error: 0.0847112245653284
iterations: 91600 training error: 0.05642355687798098
iterations: 91700 training error: 0.057713298460362855
iterations: 91800 training error: 0.07050220981557229
iterations: 91900 training error: 0.06254920557034596
iterations: 92000 training error: 0.06347670974039732
iterations: 92100 training error: 0.05791545347984439
iterations: 92200 training error: 0.060926063620860636
iterations: 92300 training error: 0.06124874752247798
iterations: 92400 training error: 0.05134940043962315
iterations: 92500 training error: 0.05616259439676041
iterations: 92600 training error: 0.055405834123934045
iterations: 92700 training error: 0.05329079164250913
iterations: 92800 training error: 0.05727518003285531
iterations: 92900 training error: 0.05647819527688545
iterations: 93000 training error: 0.057116678013784505
iterations: 93100 training error: 0.05777020161221576
iterations: 93200 training error: 0.05775041260323214
iterations: 93300 training error: 0.05822608215238316
iterations: 93400 training error: 0.05914183296109765
iterations: 93500 training error: 0.0604858524709983
iterations: 93600 training error: 0.06575784530041413
iterations: 93700 training error: 0.05384042806172111
iterations: 93800 training error: 0.0639070487740626
iterations: 93900 training error: 0.054303696643541975
iterations: 94000 training error: 0.05897640373619205
iterations: 94100 training error: 0.08397806570808712
iterations: 94200 training error: 0.05208727804626179
iterations: 94300 training error: 0.06262789130464454
iterations: 94400 training error: 0.06969443086163486
iterations: 94500 training error: 0.07292526355262167
iterations: 94600 training error: 0.06542379566294206
iterations: 94700 training error: 0.0786282235671471
iterations: 94800 training error: 0.0520663991023324
iterations: 94900 training error: 0.06259989462614853
iterations: 95000 training error: 0.07999617552234053
{ error: 0.04967763128115725, iterations: 95045 }
train time: 512609ms
[ { url: 'http://www.rajaut.cz/85495-audi-a6-allroad-30-tdi',
    mark: 0.5,
    evaluatedMark: 0.5435026226640268 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a8/14825288',
    mark: 0.25,
    evaluatedMark: 0.35847223991942634 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a8/15017895',
    mark: 1,
    evaluatedMark: 0.43252078505970576 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-3/14997196',
    mark: 0.25,
    evaluatedMark: 0.1781713233967507 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-5/15178599',
    mark: 0.5,
    evaluatedMark: 0.35635353102790723 },
  { url: 'http://www.cars.cz/inzerce/osobni-auto-O/BMW/X3/X3-2.5-i-Hatchback-13949048234541652.html?clksrc=Y2Fyc2hwX2NsaWNrWzhd',
    mark: 0.25,
    evaluatedMark: 0.1905619316536548 },
  { url: 'http://www.sauto.cz/osobni/detail/skoda/superb/15336144',
    mark: 0,
    evaluatedMark: 0.002107868263220502 },
  { url: 'http://www.sauto.cz/osobni/detail/skoda/fabia/14503063',
    mark: 1,
    evaluatedMark: 0.9980728248647982 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a7/15246806',
    mark: 0.5,
    evaluatedMark: 0.4216598460635708 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a6/15358416',
    mark: 0,
    evaluatedMark: 0.34742619125007734 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/m3/12704780',
    mark: 1,
    evaluatedMark: 0.9774673440181343 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/q3/15189278',
    mark: 1,
    evaluatedMark: 0.999929378430264 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-5/14998149',
    mark: 0.5,
    evaluatedMark: 0.2156944945913053 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/q7/15177961',
    mark: 0,
    evaluatedMark: 0.3161049642250721 },
  { url: 'http://www.dasweltauto.cz/cs/Car/712920/q7-3-0-tdi-quattro-tiptronic',
    mark: 1,
    evaluatedMark: 0.610166211736536 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-3/10551345',
    mark: 0,
    evaluatedMark: 0.037711629911271125 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a4/15097347',
    mark: 0,
    evaluatedMark: 0.24118770536273934 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a4/15057186',
    mark: 0.5,
    evaluatedMark: 0.23990276189246235 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_3_320d-xdrive-sedan-inz350611.html?search=1&category=1&buy=0&',
    mark: 0.5,
    evaluatedMark: 0.2994677097580765 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_5_530d-xdrive-sedan-inz334997.html?search=1&category=1&buy=0&',
    mark: 0.5,
    evaluatedMark: 0.5047953671658968 },
  { url: 'http://osobni.auto-iq.cz/bmw_rada-3gt_320d-xdrive-gt-inz335035.html?search=1&category=1&buy=0&',
    mark: 0,
    evaluatedMark: 0.1804245573116486 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_5_520d-xdrive-touring-inz365451.html?search=1&category=1&buy=0&',
    mark: 0.5,
    evaluatedMark: 0.21882779032061198 },
  { url: 'http://osobni.auto-iq.cz/skoda_skoda_superb_com-ii-2-0-tdi-cr-4x4-125-kw-inz343259.html?search=1&category=1&buy=0&',
    mark: 0,
    evaluatedMark: 0.038368869418748223 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_x6_x6-m50d-inz365416.html?search=1&category=1&buy=0&',
    mark: 1,
    evaluatedMark: 0.9999096522937102 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_5_530d-xdrive-sedan-inz365428.html?search=1&category=1&buy=0&',
    mark: 0.75,
    evaluatedMark: 0.5996993489879222 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_6_640d-xdrive-gran-coupe-inz365425.html?search=1&category=1&buy=0&',
    mark: 0.5,
    evaluatedMark: 0.4989069442346347 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/q3/14959766',
    mark: 0,
    evaluatedMark: 0.07001950933142806 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/q5/15178244',
    mark: 1,
    evaluatedMark: 0.9431958268803474 },
  { url: 'http://osobni.auto-iq.cz/skoda_skoda_superb_com-ii-fl-2-0-tdi-cr-dsg-125-k-inz366782.html?search=1&category=1&buy=0&',
    mark: 0,
    evaluatedMark: 0.03909924193036641 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/x5/14483845',
    mark: 0,
    evaluatedMark: 0.04249354297031192 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-3/12526716',
    mark: 0,
    evaluatedMark: 0.0205292257910243 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_x5_x5-xdrive-30d-inz365442.html?search=1&category=1&buy=0&',
    mark: 0,
    evaluatedMark: 0.015770348254451158 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-4/15178586',
    mark: 0.5,
    evaluatedMark: 0.4211784377027908 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_5_530d-xdrive-touring-steptr-xe-inz356395.html?search=1&category=1&buy=0&',
    mark: 1,
    evaluatedMark: 0.9422930312425308 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a6/14966715',
    mark: 0.75,
    evaluatedMark: 0.7921996444886686 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a6/14906795',
    mark: 1,
    evaluatedMark: 0.9521855991417186 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/a8/15017888',
    mark: 1,
    evaluatedMark: 0.4038583689062766 },
  { url: 'http://www.annonce.cz/inzerat/audi-tt-rs-coupe-2-5-24757814-wmpxgj.html',
    mark: 0.5,
    evaluatedMark: 0.41340699983659956 },
  { url: 'http://www.sauto.cz/osobni/detail/audi/ostatni/15165600',
    mark: 0.25,
    evaluatedMark: 0.5467228941333119 },
  { url: 'http://osobni.auto-iq.cz/bmw_bmw_rada_3_320d-xdrive-sedan-inz361757.html?search=1&category=1&buy=0&',
    mark: 0,
    evaluatedMark: 0.3006069013833056 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-3/14657128',
    mark: 0,
    evaluatedMark: 0.023186926150876027 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-5/15004229',
    mark: 0.5,
    evaluatedMark: 0.5334960049231762 },
  { url: 'http://www.dobrakoupe.cz/bmw/bmw_rada_5_30_m550d_adaptivedrive_tv_1386478.htm',
    mark: 0,
    evaluatedMark: 0.031145594415079955 },
  { url: 'http://www.sauto.cz/osobni/detail/bmw/rada-5/14992719',
    mark: 0.25,
    evaluatedMark: 0.4817060795074875 } ]
Avarage error: 0.1341738133348024
