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logging.txt
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logging.txt
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time.struct_time(tm_year=2020, tm_mon=2, tm_mday=16, tm_hour=20, tm_min=35, tm_sec=27, tm_wday=6, tm_yday=47, tm_isdst=0)> {'mean_fit_time': array([ 6.42223368, 15.53531551, 34.52357187, 6.60800433, 15.66463275,
29.71279745, 6.88145251, 14.31580739, 28.98133283, 6.55535455,
14.03935628, 28.14055724, 6.14498482, 12.35042377, 24.14373722,
6.02367277, 11.90101309, 22.97023973]), 'std_fit_time': array([0.10180723, 0.18303635, 0.70287534, 0.08144473, 0.62035144,
0.15270981, 0.25672834, 0.33806307, 0.49990832, 0.08555173,
0.32832291, 1.44166539, 0.03177002, 0.19841616, 0.71496919,
0.15110808, 0.04594763, 0.30050324]), 'mean_score_time': array([0.08067355, 0.09328465, 0.12891459, 0.08067331, 0.10049119,
0.13552341, 0.08207512, 0.09868984, 0.13011799, 0.0788733 ,
0.09288454, 0.13972559, 0.08227363, 0.10009098, 0.1469336 ,
0.08427706, 0.10469537, 0.14192915]), 'std_score_time': array([0.00472014, 0.00588375, 0.00381629, 0.00609206, 0.00564801,
0.00422748, 0.00395316, 0.00512704, 0.00268554, 0.00673996,
0.00343216, 0.00903394, 0.00656166, 0.00268595, 0.00677092,
0.0059183 , 0.0045024 , 0.00278821]), 'param_boosting_type': masked_array(data=['gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt',
'gbdt', 'gbdt', 'goss', 'goss', 'goss', 'goss', 'goss',
'goss', 'goss', 'goss', 'goss'],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False],
fill_value='?',
dtype=object), 'param_learning_rate': masked_array(data=[0.01, 0.01, 0.01, 0.05, 0.05, 0.05, 0.1, 0.1, 0.1,
0.01, 0.01, 0.01, 0.05, 0.05, 0.05, 0.1, 0.1, 0.1],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False],
fill_value='?',
dtype=object), 'param_n_estimators': masked_array(data=[50, 200, 500, 50, 200, 500, 50, 200, 500, 50, 200, 500,
50, 200, 500, 50, 200, 500],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False],
fill_value='?',
dtype=object), 'params': [{'boosting_type': 'gbdt', 'learning_rate': 0.01, 'n_estimators': 50}, {'boosting_type': 'gbdt', 'learning_rate': 0.01, 'n_estimators': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.01, 'n_estimators': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'n_estimators': 50}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'n_estimators': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'n_estimators': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.1, 'n_estimators': 50}, {'boosting_type': 'gbdt', 'learning_rate': 0.1, 'n_estimators': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.1, 'n_estimators': 500}, {'boosting_type': 'goss', 'learning_rate': 0.01, 'n_estimators': 50}, {'boosting_type': 'goss', 'learning_rate': 0.01, 'n_estimators': 200}, {'boosting_type': 'goss', 'learning_rate': 0.01, 'n_estimators': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'n_estimators': 50}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'n_estimators': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'n_estimators': 500}, {'boosting_type': 'goss', 'learning_rate': 0.1, 'n_estimators': 50}, {'boosting_type': 'goss', 'learning_rate': 0.1, 'n_estimators': 200}, {'boosting_type': 'goss', 'learning_rate': 0.1, 'n_estimators': 500}], 'split0_test_score': array([0.95861321, 0.96889865, 0.97552116, 0.97039457, 0.97763631,
0.97943348, 0.97514726, 0.97974454, 0.98076442, 0.95861321,
0.97049453, 0.97654587, 0.97112587, 0.97941411, 0.98094404,
0.97479159, 0.97941503, 0.98049002]), 'split1_test_score': array([0.96322845, 0.97367572, 0.97892369, 0.97484396, 0.98091666,
0.98171948, 0.97853012, 0.98169987, 0.98213589, 0.96322845,
0.97379153, 0.97906187, 0.97519946, 0.98074341, 0.98207221,
0.97847868, 0.98131369, 0.9818196 ]), 'split2_test_score': array([0.9689144 , 0.97572452, 0.98037268, 0.97728644, 0.98218802,
0.98328752, 0.97988753, 0.9830213 , 0.98410718, 0.9689144 ,
0.97665941, 0.98058792, 0.97770066, 0.98222932, 0.98346261,
0.97936893, 0.98241503, 0.98375744]), 'split3_test_score': array([0.96080373, 0.97214344, 0.97685458, 0.97310186, 0.97864731,
0.97990852, 0.97652561, 0.97936016, 0.98037684, 0.96080373,
0.97301628, 0.97769916, 0.97368114, 0.97990183, 0.98104401,
0.97615823, 0.98020358, 0.98106108]), 'split4_test_score': array([0.96429703, 0.97174837, 0.97866946, 0.97336566, 0.98110952,
0.98179423, 0.97866093, 0.982021 , 0.98231122, 0.96429703,
0.9727805 , 0.97905611, 0.97299563, 0.98128024, 0.98238573,
0.9771824 , 0.98146087, 0.98273869]), 'mean_test_score': array([0.96317115, 0.97243797, 0.97806819, 0.97379834, 0.98009945,
0.98122856, 0.97775017, 0.98116931, 0.98193905, 0.96317115,
0.97334831, 0.97859009, 0.97414041, 0.98071372, 0.98198167,
0.97719585, 0.98096157, 0.9819733 ]), 'std_test_score': array([0.00348245, 0.00225496, 0.001695 , 0.00225919, 0.00168682,
0.00139753, 0.00169007, 0.00139569, 0.00131896, 0.00348245,
0.00198684, 0.00137144, 0.00220938, 0.00099671, 0.00092958,
0.00162641, 0.00104427, 0.00116834]), 'rank_test_score': array([17, 16, 10, 14, 8, 4, 11, 5, 3, 17, 15, 9, 13, 7, 1, 12, 6,
2])}
time.struct_time(tm_year=2020, tm_mon=2, tm_mday=17, tm_hour=1, tm_min=5, tm_sec=20, tm_wday=0, tm_yday=48, tm_isdst=0)> {'mean_fit_time': array([ 48.81054978, 49.34163256, 50.70126443, 73.13965569,
84.52137189, 77.67837787, 43.89603348, 46.37754416,
47.39366078, 69.30497322, 71.89112158, 73.70113544,
45.52834826, 46.97317863, 48.67482953, 70.70399661,
73.78005948, 80.31355619, 73.41450553, 104.25807705,
113.65357046, 113.3946671 , 143.5894465 , 153.66856523,
80.18309994, 110.87524819, 121.80754447, 105.84197226,
132.81007304, 145.15309143, 74.35435953, 103.26602879,
119.8458941 , 108.88144765, 135.36959724, 148.12619095]), 'std_fit_time': array([2.18877061, 0.38486243, 0.61960445, 0.79419809, 1.9434407 ,
2.30128678, 0.73476311, 0.46412972, 0.2796454 , 0.46478278,
0.31571472, 0.29983114, 1.56474223, 0.68767738, 1.15481337,
2.39432832, 1.69913149, 2.43168008, 1.14086267, 2.92542063,
2.71690231, 8.62346007, 5.93758741, 0.89922164, 0.57417275,
2.22097758, 2.11960489, 0.41701996, 0.57696546, 0.46624656,
0.48263422, 1.29251943, 0.6032158 , 0.62725957, 0.57973287,
1.12701206]), 'mean_score_time': array([0.19938145, 0.22700934, 0.20799375, 0.30027299, 0.31928887,
0.30047474, 0.19997849, 0.1989759 , 0.20258555, 0.29206362,
0.29126773, 0.2948679 , 0.20558834, 0.20378695, 0.20498471,
0.29587336, 0.32089472, 0.32089171, 0.20999074, 0.24161949,
0.25342736, 0.30387464, 0.33169174, 0.33629684, 0.21431251,
0.25620456, 0.26103759, 0.29086132, 0.31488638, 0.33029695,
0.21279502, 0.30147247, 0.25883493, 0.29206538, 0.32009196,
0.33189998]), 'std_score_time': array([0.00880326, 0.05021725, 0.00545727, 0.00639322, 0.00832911,
0.00527339, 0.0057829 , 0.00231754, 0.00366742, 0.00222775,
0.0025323 , 0.0039327 , 0.01292 , 0.00265589, 0.00299778,
0.0052067 , 0.04978528, 0.01244681, 0.00299494, 0.00403355,
0.00305995, 0.01501698, 0.01899794, 0.00493877, 0.00364459,
0.01306106, 0.0076855 , 0.00350007, 0.00350458, 0.00514019,
0.0046761 , 0.11853013, 0.00831667, 0.00271523, 0.00591628,
0.01064257]), 'param_boosting_type': masked_array(data=['goss', 'goss', 'goss', 'goss', 'goss', 'goss', 'goss',
'goss', 'goss', 'goss', 'goss', 'goss', 'goss', 'goss',
'goss', 'goss', 'goss', 'goss', 'gbdt', 'gbdt', 'gbdt',
'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt',
'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt',
'gbdt'],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_learning_rate': masked_array(data=[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_max_bin': masked_array(data=[127, 127, 127, 127, 127, 127, 255, 255, 255, 255, 255,
255, 511, 511, 511, 511, 511, 511, 127, 127, 127, 127,
127, 127, 255, 255, 255, 255, 255, 255, 511, 511, 511,
511, 511, 511],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_n_estimators': masked_array(data=[500, 500, 500, 1000, 1000, 1000, 500, 500, 500, 1000,
1000, 1000, 500, 500, 500, 1000, 1000, 1000, 500, 500,
500, 1000, 1000, 1000, 500, 500, 500, 1000, 1000, 1000,
500, 500, 500, 1000, 1000, 1000],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_num_leaves': masked_array(data=[200, 500, 800, 200, 500, 800, 200, 500, 800, 200, 500,
800, 200, 500, 800, 200, 500, 800, 200, 500, 800, 200,
500, 800, 200, 500, 800, 200, 500, 800, 200, 500, 800,
200, 500, 800],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'params': [{'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 800}], 'split0_test_score': array([0.98323328, 0.98372397, 0.98352174, 0.98324458, 0.98343804,
0.98367162, 0.98323328, 0.98372397, 0.98352174, 0.98324458,
0.98343804, 0.98367162, 0.98323328, 0.98372397, 0.98352174,
0.98324458, 0.98343804, 0.98367162, 0.98331675, 0.98342651,
0.98364626, 0.98317587, 0.98328171, 0.98348439, 0.98331675,
0.98342651, 0.98364626, 0.98317587, 0.98328171, 0.98348439,
0.98331675, 0.98342651, 0.98364626, 0.98317587, 0.98328171,
0.98348439]), 'split1_test_score': array([0.98425344, 0.98372884, 0.98417777, 0.98429219, 0.98392977,
0.98455796, 0.98425344, 0.98372884, 0.98417777, 0.98429219,
0.98392977, 0.98455796, 0.98425344, 0.98372884, 0.98417777,
0.98429219, 0.98392977, 0.98455796, 0.98487585, 0.98475451,
0.98487539, 0.98467699, 0.98457295, 0.98466454, 0.98487585,
0.98475451, 0.98487539, 0.98467699, 0.98457295, 0.98466454,
0.98487585, 0.98475451, 0.98487539, 0.98467699, 0.98457295,
0.98466454]), 'split2_test_score': array([0.98612553, 0.98600142, 0.98541199, 0.986087 , 0.98595551,
0.985603 , 0.98612553, 0.98600142, 0.98541199, 0.986087 ,
0.98595551, 0.985603 , 0.98612553, 0.98600142, 0.98541199,
0.986087 , 0.98595551, 0.985603 , 0.9857172 , 0.98559447,
0.98583278, 0.98552826, 0.98550358, 0.98580048, 0.9857172 ,
0.98559447, 0.98583278, 0.98552826, 0.98550358, 0.98580048,
0.9857172 , 0.98559447, 0.98583278, 0.98552826, 0.98550358,
0.98580048]), 'split3_test_score': array([0.98220856, 0.98245632, 0.98276707, 0.98292463, 0.98296916,
0.98302983, 0.98220856, 0.98245632, 0.98276707, 0.98292463,
0.98296916, 0.98302983, 0.98220856, 0.98245632, 0.98276707,
0.98292463, 0.98296916, 0.98302983, 0.98234974, 0.9825892 ,
0.98221294, 0.98250085, 0.98270224, 0.98224085, 0.98234974,
0.9825892 , 0.98221294, 0.98250085, 0.98270224, 0.98224085,
0.98234974, 0.9825892 , 0.98221294, 0.98250085, 0.98270224,
0.98224085]), 'split4_test_score': array([0.98354428, 0.98333343, 0.98354197, 0.98377959, 0.98307851,
0.98355374, 0.98354428, 0.98333343, 0.98354197, 0.98377959,
0.98307851, 0.98355374, 0.98354428, 0.98333343, 0.98354197,
0.98377959, 0.98307851, 0.98355374, 0.98344185, 0.98387602,
0.98372838, 0.98322684, 0.98375814, 0.98356251, 0.98344185,
0.98387602, 0.98372838, 0.98322684, 0.98375814, 0.98356251,
0.98344185, 0.98387602, 0.98372838, 0.98322684, 0.98375814,
0.98356251]), 'mean_test_score': array([0.98387299, 0.98384879, 0.98388409, 0.98406556, 0.98387418,
0.98408321, 0.98387299, 0.98384879, 0.98388409, 0.98406556,
0.98387418, 0.98408321, 0.98387299, 0.98384879, 0.98388409,
0.98406556, 0.98387418, 0.98408321, 0.98394025, 0.98404811,
0.98405913, 0.98382173, 0.98396369, 0.98395053, 0.98394025,
0.98404811, 0.98405913, 0.98382173, 0.98396369, 0.98395053,
0.98394025, 0.98404811, 0.98405913, 0.98382173, 0.98396369,
0.98395053]), 'std_test_score': array([0.0013043 , 0.00117201, 0.00088506, 0.0011131 , 0.00109336,
0.00090491, 0.0013043 , 0.00117201, 0.00088506, 0.0011131 ,
0.00109336, 0.00090491, 0.0013043 , 0.00117201, 0.00088506,
0.0011131 , 0.00109336, 0.00090491, 0.00119996, 0.00104254,
0.00122475, 0.00110989, 0.00098396, 0.00120189, 0.00119996,
0.00104254, 0.00122475, 0.00110989, 0.00098396, 0.00120189,
0.00119996, 0.00104254, 0.00122475, 0.00110989, 0.00098396,
0.00120189]), 'rank_test_score': array([28, 31, 22, 4, 25, 1, 28, 31, 22, 4, 25, 1, 28, 31, 22, 4, 25,
1, 19, 10, 7, 34, 13, 16, 19, 10, 7, 34, 13, 16, 19, 10, 7, 34,
13, 16])}
time.struct_time(tm_year=2020, tm_mon=2, tm_mday=17, tm_hour=1, tm_min=5, tm_sec=20, tm_wday=0, tm_yday=48, tm_isdst=0)> {'mean_fit_time': array([ 48.81054978, 49.34163256, 50.70126443, 73.13965569,
84.52137189, 77.67837787, 43.89603348, 46.37754416,
47.39366078, 69.30497322, 71.89112158, 73.70113544,
45.52834826, 46.97317863, 48.67482953, 70.70399661,
73.78005948, 80.31355619, 73.41450553, 104.25807705,
113.65357046, 113.3946671 , 143.5894465 , 153.66856523,
80.18309994, 110.87524819, 121.80754447, 105.84197226,
132.81007304, 145.15309143, 74.35435953, 103.26602879,
119.8458941 , 108.88144765, 135.36959724, 148.12619095]), 'std_fit_time': array([2.18877061, 0.38486243, 0.61960445, 0.79419809, 1.9434407 ,
2.30128678, 0.73476311, 0.46412972, 0.2796454 , 0.46478278,
0.31571472, 0.29983114, 1.56474223, 0.68767738, 1.15481337,
2.39432832, 1.69913149, 2.43168008, 1.14086267, 2.92542063,
2.71690231, 8.62346007, 5.93758741, 0.89922164, 0.57417275,
2.22097758, 2.11960489, 0.41701996, 0.57696546, 0.46624656,
0.48263422, 1.29251943, 0.6032158 , 0.62725957, 0.57973287,
1.12701206]), 'mean_score_time': array([0.19938145, 0.22700934, 0.20799375, 0.30027299, 0.31928887,
0.30047474, 0.19997849, 0.1989759 , 0.20258555, 0.29206362,
0.29126773, 0.2948679 , 0.20558834, 0.20378695, 0.20498471,
0.29587336, 0.32089472, 0.32089171, 0.20999074, 0.24161949,
0.25342736, 0.30387464, 0.33169174, 0.33629684, 0.21431251,
0.25620456, 0.26103759, 0.29086132, 0.31488638, 0.33029695,
0.21279502, 0.30147247, 0.25883493, 0.29206538, 0.32009196,
0.33189998]), 'std_score_time': array([0.00880326, 0.05021725, 0.00545727, 0.00639322, 0.00832911,
0.00527339, 0.0057829 , 0.00231754, 0.00366742, 0.00222775,
0.0025323 , 0.0039327 , 0.01292 , 0.00265589, 0.00299778,
0.0052067 , 0.04978528, 0.01244681, 0.00299494, 0.00403355,
0.00305995, 0.01501698, 0.01899794, 0.00493877, 0.00364459,
0.01306106, 0.0076855 , 0.00350007, 0.00350458, 0.00514019,
0.0046761 , 0.11853013, 0.00831667, 0.00271523, 0.00591628,
0.01064257]), 'param_boosting_type': masked_array(data=['goss', 'goss', 'goss', 'goss', 'goss', 'goss', 'goss',
'goss', 'goss', 'goss', 'goss', 'goss', 'goss', 'goss',
'goss', 'goss', 'goss', 'goss', 'gbdt', 'gbdt', 'gbdt',
'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt',
'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt', 'gbdt',
'gbdt'],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_learning_rate': masked_array(data=[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05,
0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_max_bin': masked_array(data=[127, 127, 127, 127, 127, 127, 255, 255, 255, 255, 255,
255, 511, 511, 511, 511, 511, 511, 127, 127, 127, 127,
127, 127, 255, 255, 255, 255, 255, 255, 511, 511, 511,
511, 511, 511],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_n_estimators': masked_array(data=[500, 500, 500, 1000, 1000, 1000, 500, 500, 500, 1000,
1000, 1000, 500, 500, 500, 1000, 1000, 1000, 500, 500,
500, 1000, 1000, 1000, 500, 500, 500, 1000, 1000, 1000,
500, 500, 500, 1000, 1000, 1000],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_num_leaves': masked_array(data=[200, 500, 800, 200, 500, 800, 200, 500, 800, 200, 500,
800, 200, 500, 800, 200, 500, 800, 200, 500, 800, 200,
500, 800, 200, 500, 800, 200, 500, 800, 200, 500, 800,
200, 500, 800],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'params': [{'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'goss', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 127, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 255, 'n_estimators': 1000, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 500, 'num_leaves': 800}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 200}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 500}, {'boosting_type': 'gbdt', 'learning_rate': 0.05, 'max_bin': 511, 'n_estimators': 1000, 'num_leaves': 800}], 'split0_test_score': array([0.98323328, 0.98372397, 0.98352174, 0.98324458, 0.98343804,
0.98367162, 0.98323328, 0.98372397, 0.98352174, 0.98324458,
0.98343804, 0.98367162, 0.98323328, 0.98372397, 0.98352174,
0.98324458, 0.98343804, 0.98367162, 0.98331675, 0.98342651,
0.98364626, 0.98317587, 0.98328171, 0.98348439, 0.98331675,
0.98342651, 0.98364626, 0.98317587, 0.98328171, 0.98348439,
0.98331675, 0.98342651, 0.98364626, 0.98317587, 0.98328171,
0.98348439]), 'split1_test_score': array([0.98425344, 0.98372884, 0.98417777, 0.98429219, 0.98392977,
0.98455796, 0.98425344, 0.98372884, 0.98417777, 0.98429219,
0.98392977, 0.98455796, 0.98425344, 0.98372884, 0.98417777,
0.98429219, 0.98392977, 0.98455796, 0.98487585, 0.98475451,
0.98487539, 0.98467699, 0.98457295, 0.98466454, 0.98487585,
0.98475451, 0.98487539, 0.98467699, 0.98457295, 0.98466454,
0.98487585, 0.98475451, 0.98487539, 0.98467699, 0.98457295,
0.98466454]), 'split2_test_score': array([0.98612553, 0.98600142, 0.98541199, 0.986087 , 0.98595551,
0.985603 , 0.98612553, 0.98600142, 0.98541199, 0.986087 ,
0.98595551, 0.985603 , 0.98612553, 0.98600142, 0.98541199,
0.986087 , 0.98595551, 0.985603 , 0.9857172 , 0.98559447,
0.98583278, 0.98552826, 0.98550358, 0.98580048, 0.9857172 ,
0.98559447, 0.98583278, 0.98552826, 0.98550358, 0.98580048,
0.9857172 , 0.98559447, 0.98583278, 0.98552826, 0.98550358,
0.98580048]), 'split3_test_score': array([0.98220856, 0.98245632, 0.98276707, 0.98292463, 0.98296916,
0.98302983, 0.98220856, 0.98245632, 0.98276707, 0.98292463,
0.98296916, 0.98302983, 0.98220856, 0.98245632, 0.98276707,
0.98292463, 0.98296916, 0.98302983, 0.98234974, 0.9825892 ,
0.98221294, 0.98250085, 0.98270224, 0.98224085, 0.98234974,
0.9825892 , 0.98221294, 0.98250085, 0.98270224, 0.98224085,
0.98234974, 0.9825892 , 0.98221294, 0.98250085, 0.98270224,
0.98224085]), 'split4_test_score': array([0.98354428, 0.98333343, 0.98354197, 0.98377959, 0.98307851,
0.98355374, 0.98354428, 0.98333343, 0.98354197, 0.98377959,
0.98307851, 0.98355374, 0.98354428, 0.98333343, 0.98354197,
0.98377959, 0.98307851, 0.98355374, 0.98344185, 0.98387602,
0.98372838, 0.98322684, 0.98375814, 0.98356251, 0.98344185,
0.98387602, 0.98372838, 0.98322684, 0.98375814, 0.98356251,
0.98344185, 0.98387602, 0.98372838, 0.98322684, 0.98375814,
0.98356251]), 'mean_test_score': array([0.98387299, 0.98384879, 0.98388409, 0.98406556, 0.98387418,
0.98408321, 0.98387299, 0.98384879, 0.98388409, 0.98406556,
0.98387418, 0.98408321, 0.98387299, 0.98384879, 0.98388409,
0.98406556, 0.98387418, 0.98408321, 0.98394025, 0.98404811,
0.98405913, 0.98382173, 0.98396369, 0.98395053, 0.98394025,
0.98404811, 0.98405913, 0.98382173, 0.98396369, 0.98395053,
0.98394025, 0.98404811, 0.98405913, 0.98382173, 0.98396369,
0.98395053]), 'std_test_score': array([0.0013043 , 0.00117201, 0.00088506, 0.0011131 , 0.00109336,
0.00090491, 0.0013043 , 0.00117201, 0.00088506, 0.0011131 ,
0.00109336, 0.00090491, 0.0013043 , 0.00117201, 0.00088506,
0.0011131 , 0.00109336, 0.00090491, 0.00119996, 0.00104254,
0.00122475, 0.00110989, 0.00098396, 0.00120189, 0.00119996,
0.00104254, 0.00122475, 0.00110989, 0.00098396, 0.00120189,
0.00119996, 0.00104254, 0.00122475, 0.00110989, 0.00098396,
0.00120189]), 'rank_test_score': array([28, 31, 22, 4, 25, 1, 28, 31, 22, 4, 25, 1, 28, 31, 22, 4, 25,
1, 19, 10, 7, 34, 13, 16, 19, 10, 7, 34, 13, 16, 19, 10, 7, 34,
13, 16])}