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xgboost_pp_gridsearch_result.csv
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xgboost_pp_gridsearch_result.csv
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id params train_rmse test_rmse train_mape test_mape
0 1.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.9574895337997 7.784205768749768 8.562401843156639 5.696554194188804
1 1.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.439383797564403 7.828547317975078 8.26489791357861 5.758176668311483
2 1.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.942658877549423 7.7560570354486975 7.96719583296594 5.725135212828622
3 1.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.374147876313422 7.040924860904901 4.843352948966537 5.07346026659123
4 1.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.215144405693979 7.154566132899399 4.095460217445835 5.022195313752883
5 1.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.139464825593669 7.183007611662121 3.3913079773515964 5.06436309270072
6 1.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.22887892468951 7.0623490765910635 4.062769505525134 5.034989437953991
7 1.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.96783513819161 7.138481458021042 3.2534758967226534 5.002322850452539
8 1.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9598083573650653 7.151573126047263 2.565958059940192 5.07240548136031
9 1.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.9574895337997 7.784205768749768 8.562401843156639 5.696554194188804
10 1.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.439383797564403 7.828547317975078 8.26489791357861 5.758176668311483
11 1.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.942658883224059 7.7560570354486975 7.96719581907723 5.725135212828622
12 1.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.374147876313422 7.040924860904901 4.843352948966537 5.07346026659123
13 1.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.21514513299587 7.154565800869695 4.0954533577870516 5.022194894792167
14 1.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.171050284538392 7.058863739001881 3.4070104099854697 4.9374484868704975
15 1.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.228878660408651 7.0623499860529275 4.062770140641472 5.034989963188685
16 1.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.007636817156056 7.087157393961785 3.263178850341141 5.052067411560456
17 1.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.91700146396529 7.1313009258020195 2.542383581682301 5.0894165940753275
18 1.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.9574895337997 7.784205768749768 8.562401843156639 5.696554194188804
19 1.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.439383797564403 7.828547317975078 8.26489791357861 5.758176668311483
20 1.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.942658884675046 7.7560570354486975 7.967195817739974 5.725135212828622
21 1.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.3741475522694415 7.040927221268347 4.843350743822088 5.073462430739213
22 1.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.215145372099676 7.154565538030527 4.095449081470161 5.022194426439949
23 1.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.171056867840207 7.058854195079328 3.407022469284618 4.937443713976903
24 1.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.228880074600995 7.062349248931796 4.062764227967587 5.034993498028785
25 1.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.007637859384806 7.087154602685391 3.2631560342126433 5.052066402221351
26 1.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.954382682073639 6.8563472367470295 2.5626505265870456 4.961241312097898
27 2.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.78696368325763 12.97887966229575 8.428963186043553 7.824571442976655
28 2.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.269847932703042 12.90462983321762 8.134543866562915 7.812936054995147
29 2.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.753548131333565 12.772844988352304 7.821204924292916 7.749728349671425
30 2.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.32228187005188 10.78066105202007 4.79593393098254 6.818462130750673
31 2.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.221395615908438 10.578663296299172 4.102984052978739 6.662548480904494
32 2.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.141957271493616 10.840960310962199 3.3965096989338575 6.755084179450092
33 2.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.203120384053281 11.176127025119012 4.056853598630819 7.033013044475599
34 2.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.970646123378996 10.993098419252485 3.2541025633417604 6.904499518323889
35 2.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.949131756592039 10.404831178310408 2.5429204886458003 6.486511314028121
36 2.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.78696368325763 12.97887966229575 8.428963186043553 7.824571442976655
37 2.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.269847932703042 12.90462983321762 8.134543866562915 7.812936054995147
38 2.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.753548131333565 12.772844988352304 7.821204924292916 7.749728349671425
39 2.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.303299807380485 10.793346266982903 4.786620411716401 6.719678636033964
40 2.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.175835773587817 10.58033135123527 4.082313451883789 6.645158504171465
41 2.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.095806981618258 10.76216202424285 3.3732745657584475 6.709041662797619
42 2.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.203120509610864 11.176127738641233 4.056853647739861 7.033013433024584
43 2.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.971687329183085 10.94108090400215 3.2558667860794017 6.8979732362062744
44 2.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.966292060167874 10.360222605824294 2.55881847316658 6.431658574520677
45 2.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.78696368325763 12.97887966229575 8.428963186043553 7.824571442976655
46 2.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.269847932703042 12.90462983321762 8.134543866562915 7.812936054995147
47 2.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.753548150613668 12.772844988352304 7.8212037392778555 7.749728349671425
48 2.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.303299807380485 10.793346266982903 4.786620411716401 6.719678636033964
49 2.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.175835861579548 10.58033135123527 4.082312868283526 6.645158504171465
50 2.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.07940434829689 10.77277799292788 3.3527217890245637 6.689640420706365
51 2.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.203129993779201 11.176129799279805 4.056842648697363 7.033012797194754
52 2.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.947310153898908 10.758619627099451 3.2286879335839007 6.750553923553768
53 2.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.936541753376921 10.402186475560695 2.546625978727603 6.512845088831949
54 3.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.919992172359333 9.038366300913117 8.52647017079726 6.985316597561687
55 3.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.40423906198628 8.826798767416067 8.243443644111341 6.759976407568645
56 3.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.91366104469796 8.847088281945704 7.9472859491894905 6.608401585174238
57 3.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.45541712653521 7.069224426895108 4.879417022348032 4.938240063969181
58 3.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.300425219030819 6.9522383326561 4.14385998472675 4.591894219734134
59 3.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.149523709918841 7.213133806512494 3.3809245623006023 4.691195656845979
60 3.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.264403130170995 7.186790715725384 4.085483334176356 4.9375583213160175
61 3.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.096066415059552 7.083515040447834 3.313626006902531 4.5866424055671455
62 3.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9893796854481147 7.908126291205086 2.5788537216745167 5.000217038229788
63 3.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.919992172359333 9.038366300913117 8.52647017079726 6.985316597561687
64 3.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.40423906198628 8.826798767416067 8.243443644111341 6.759976407568645
65 3.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.91366104469796 8.847088281945704 7.9472859491894905 6.608401585174238
66 3.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.4555865286001906 7.067515902177894 4.880523540375381 4.936613925698223
67 3.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.32890895343098 6.922611883496532 4.162116672894652 4.596363844205522
68 3.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.16279583441405 7.2855972877222985 3.387414754930502 4.755774324765844
69 3.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.264402651729404 7.186793216363507 4.0854823568389325 4.937560702276728
70 3.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.070064230998648 7.118831766076823 3.3067330885283583 4.677798651737339
71 3.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9857277046748756 7.8414885870863795 2.5816425981648328 4.962022532390683
72 3.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.919992172359333 9.038366300913117 8.52647017079726 6.985316597561687
73 3.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.40423906198628 8.826798767416067 8.243443644111341 6.759976407568645
74 3.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.91366104469796 8.847088281945704 7.9472859491894905 6.608401585174238
75 3.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.4555865286001906 7.067515902177894 4.880523540375381 4.936613925698223
76 3.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.308705613705814 6.991516092326169 4.1498986916821 4.632698714767603
77 3.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.131837619116806 7.120953831732032 3.379396030086674 4.611165457600396
78 3.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.264402651729404 7.186793216363507 4.0854823568389325 4.937560702276728
79 3.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.070064793276974 7.118831512798223 3.3067355845357054 4.677798936441733
80 3.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9857369639911924 7.841629885856393 2.581617169760313 4.962159226135238
81 4.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.838861170611525 11.814780926338296 8.46083238974444 7.784909037404954
82 4.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.341337259904241 11.753704737376989 8.165428096441902 7.814257196547893
83 4.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.83764694598535 11.81298067991208 7.871952148449772 7.829380890126162
84 4.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.388602125200369 10.247275711792572 4.825315527148141 6.783985601968942
85 4.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.260226169896615 10.445242632444316 4.100120344141718 7.005638812603109
86 4.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.19719629378913 10.678816656959981 3.4120068726770514 7.075576671967172
87 4.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.2645145153208235 10.54264900264843 4.096837390078662 7.095176446705574
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191 8.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.898573929112043 9.180664902896686 7.942954383046848 5.797636961141355
192 8.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.415166629838797 8.710524844222032 4.830987445458646 5.820622119884958
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194 8.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.123566040516082 8.885482781147463 3.3646839608563823 5.651259889676658
195 8.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.172144975623862 9.059490062099808 4.0289311722660655 5.8883087286252405
196 8.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.066684787358844 9.042818801108943 3.287433877076129 5.902973012696103
197 8.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9322245868450003 9.122381813838116 2.537833189299737 5.8472570657998
198 8.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.921681662619394 9.38139278600922 8.538931446542742 6.097826184843173
199 8.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.403074047772925 9.222709779650089 8.240309425360321 5.866748016772448
200 8.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.898573929112043 9.180664902896686 7.942954383046848 5.797636961141355
201 8.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.415166629838797 8.710524844222032 4.830987445458646 5.820622119884958
202 8.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.2228252095793035 8.703206843998883 4.089257947316419 5.703605614287284
203 8.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.123567714788503 8.885539638322848 3.364691373081014 5.651347900964978
204 8.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.172145718264175 9.059490765991667 4.028921848984927 5.8883109843633505
205 8.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.067350533379266 9.033191162263881 3.2966887054601255 5.890992075527858
206 8.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9203754721626787 9.224301130304237 2.52926085222203 5.883911091097591
207 8.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.921681662619394 9.38139278600922 8.538931446542742 6.097826184843173
208 8.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.403074047772925 9.222709779650089 8.240309425360321 5.866748016772448
209 8.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.898573929112043 9.180664902896686 7.942954383046848 5.797636961141355
210 8.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.402636707419156 8.785477753652522 4.831444729311054 5.854894565073545
211 8.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.222825466179844 8.703122468275646 4.089262369267761 5.7034653792343075
212 8.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.1929817490695225 8.910424325126217 3.422241342978201 5.693745309970446
213 8.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.195601720327 9.027666648963221 4.037653369577536 5.86899584814597
214 8.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.06668114780581 9.043009773128007 3.287401507063101 5.903091751863269
215 8.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9030472627184443 9.202604932328256 2.5332845789764606 5.912245285292374
216 9.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.694051529772866 17.480008291034977 8.418913200656274 9.145268279382513
217 9.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.184802122734427 17.414705662571563 8.129124602045321 9.146334333823933
218 9.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.7042873519682 17.7212080673374 7.829715188638053 9.225696962207639
219 9.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.229122179256357 13.62285685745668 4.763978309480358 7.901547433291943
220 9.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.1546526874838845 14.074125834340458 4.083527352549459 8.204827296186238
221 9.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.122139469885293 13.700689349532553 3.3883874221932455 7.785915718123375
222 9.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.146719305223822 14.311467352580486 4.027535110667192 8.317489140143655
223 9.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.926510454499269 14.042058920450632 3.227422312871974 8.121304993605001
224 9.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9178440813467668 14.486040936977242 2.5366692624570772 8.175566769883194
225 9.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.694051529772866 17.480008291034977 8.418913200656274 9.145268279382513
226 9.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.184802122734427 17.414705662571563 8.129124602045321 9.146334333823933
227 9.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.704279136202961 17.72107375465555 7.829713297772628 9.225424999649508
228 9.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.229122179256357 13.62285685745668 4.763978309480358 7.901547433291943
229 9.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.15465238141399 14.074444965798032 4.083508302189184 8.205024251724234
230 9.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.122139348027317 13.700686503557002 3.388379252359227 7.785916054868977
231 9.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.134305701299928 14.421062791332458 4.022868152412559 8.367160107355952
232 9.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.02374383307197 13.673001478249683 3.2835963188624904 7.8276052374579494
233 9.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.964006613676007 14.63820886172634 2.571661814717747 8.155103007765954
234 9.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.694051529772866 17.480008291034977 8.418913200656274 9.145268279382513
235 9.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.184802122734427 17.414705662571563 8.129124602045321 9.146334333823933
236 9.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.704279136202961 17.72107375465555 7.829713297772628 9.225424999649508
237 9.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.229122179256357 13.62285685745668 4.763978309480358 7.901547433291943
238 9.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.081639834191669 14.021224748066315 4.037669259469305 8.09852315926684
239 9.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.103727622124659 13.79568048214364 3.382650502493439 7.8499893926154645
240 9.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.134305701299928 14.421062791332458 4.022868152412559 8.367160107355952
241 9.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.955998328681981 14.04794947841028 3.252838810725352 8.121801660719964
242 9.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.93818334613564 14.694446481610267 2.5575087906693095 8.206581493970697
243 10.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.59252759241483 21.444851466033093 8.357927358833827 14.062455968390037
244 10.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.094067487361997 22.267861887595622 8.07969231348498 15.183498793725017
245 10.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.595021486910891 22.697771499694145 7.786942436887428 15.452254907293609
246 10.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.340644405536216 16.859867101847044 4.797444561530724 11.166991687571725
247 10.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.1645613432218616 18.50624139580527 4.072303943309824 13.149161814585463
248 10.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.164201735782574 18.82337656913347 3.3870495996922205 13.25197375194266
249 10.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.200078497959993 16.855493744243322 4.0677670453040955 10.972302285106712
250 10.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.086453720957734 18.5609260129489 3.315387260808822 12.815159741677043
251 10.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 4.000463123156882 19.059842201457897 2.5878394721535263 13.037496430857711
252 10.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.59252759241483 21.444851466033093 8.357927358833827 14.062455968390037
253 10.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.094067487361997 22.267861887595622 8.07969231348498 15.183498793725017
254 10.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.595021486910891 22.697771499694145 7.786942436887428 15.452254907293609
255 10.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.340644113529111 16.859890941080728 4.797446609953929 11.167032472139486
256 10.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.174294539010589 18.212458227339617 4.080582481103257 12.731622348379288
257 10.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.142252563917545 18.8551471224085 3.3792781627375534 13.262294576182548
258 10.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.2000778617202394 16.855492303742036 4.067762129154824 10.972301573221394
259 10.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.088164025294394 18.755131931439195 3.3218864547591287 13.124954459317664
260 10.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.9823767930209466 18.88229030680549 2.5713264216603804 12.811813599468996
261 10.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.59252759241483 21.444851466033093 8.357927358833827 14.062455968390037
262 10.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.094067487361997 22.267861887595622 8.07969231348498 15.183498793725017
263 10.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.595021502707072 22.697771499694145 7.78694179677782 15.452254907293609
264 10.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.340644169684185 16.859890941080728 4.797447627257085 11.167032472139486
265 10.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.174290994190952 18.21268787181973 4.080570401010158 12.732040176496332
266 10.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.142255227558401 18.85515555694025 3.379274437961683 13.262255366814868
267 10.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.2000778617202394 16.855492303742036 4.067762129154824 10.972301573221394
268 10.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.01635393483001 18.513979236289845 3.26487654289132 12.703579680473087
269 10.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 4.019911258456344 18.550324802524102 2.595852472670972 12.476344789046374
270 11.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.69793034156643 15.65070115118069 8.392318581282527 9.126547876911992
271 11.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.197756999600932 16.024268528089834 8.103298363805864 9.22894455632263
272 11.0 {'gamma': 0.0, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.685665469375525 16.189219900277603 7.793440464107445 9.333089490234702
273 11.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.252747606456755 12.78511109975372 4.767390153223442 7.586924859051214
274 11.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.191368601571116 13.062629067409395 4.093416026746353 7.656616084040214
275 11.0 {'gamma': 0.0, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.068098759887892 13.27694865841004 3.360321271326833 7.6693199515954475
276 11.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.1023747203473615 13.284669329249652 4.011503951073626 8.00601282169383
277 11.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.918350284277429 14.264713991126895 3.2205539094396993 8.285871399731343
278 11.0 {'gamma': 0.0, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.872784260060496 13.845535945093141 2.5159886408679712 8.09485778503722
279 11.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 12.69793034156643 15.65070115118069 8.392318581282527 9.126547876911992
280 11.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.197756999600932 16.024268528089834 8.103298363805864 9.22894455632263
281 11.0 {'gamma': 0.1, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.685665469375525 16.189219900277603 7.793440464107445 9.333089490234702
282 11.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.252747606456755 12.78511109975372 4.767390153223442 7.586924859051214
283 11.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.191369026103398 13.062627299917388 4.09340978567013 7.656615243139915
284 11.0 {'gamma': 0.1, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.068101176613052 13.276952970785116 3.3603088878537792 7.669320435560426
285 11.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.1023747203473615 13.284669329249652 4.011503951073626 8.00601282169383
286 11.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 4.9183520696042 14.264721734603706 3.2205634282220363 8.285873763229883
287 11.0 {'gamma': 0.1, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.8947043868182316 14.060317014374988 2.531713811036664 8.284805297347054
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289 11.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.197756999600932 16.024268528089834 8.103298363805864 9.22894455632263
290 11.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.685665469375525 16.189219900277603 7.793440464107445 9.333089490234702
291 11.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.25274788548142 12.78511088962598 4.767388542437336 7.5869247290525355
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397 16.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 12.362565610906158 10.92988667373872 8.179030699568452 8.49565458391278
398 16.0 {'gamma': 0.2, 'learning_rate': 0.01, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 11.854419475876586 11.108408008690349 7.874265624746328 8.564373138438503
399 16.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 7.35868490937468 8.615561763137382 4.790595652554465 6.144596759276042
400 16.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 6.204269730513624 8.614859977084876 4.065289147262389 6.28429697238406
401 16.0 {'gamma': 0.2, 'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 5.036349455274121 9.108499463380015 3.2873372852853806 6.525642811375583
402 16.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 5, 'n_estimators': 100, 'nthread': 4} 6.174801976264343 9.218386382354566 4.022559815286736 6.415757744459984
403 16.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 6, 'n_estimators': 100, 'nthread': 4} 5.0238421358278496 9.360741370384124 3.25797484599914 6.774605323888822
404 16.0 {'gamma': 0.2, 'learning_rate': 0.2, 'max_depth': 7, 'n_estimators': 100, 'nthread': 4} 3.907278345970951 9.058842403363297 2.522708312377901 6.630197241440862