10418882 10580 Thomas Fan 6 Supervised Classification 17371 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3) 8255504 cv null 17371 error_score NaN 17371 iid "deprecated" 17371 n_iter 100 17371 n_jobs 3 17371 param_distributions {"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]} 17371 pre_dispatch "2*n_jobs" 17371 random_state 0 17371 refit true 17371 return_train_score false 17371 scoring null 17371 verbose 1 17371 l2_regularization 0.0 17372 learning_rate 0.1 17372 loss "auto" 17372 max_bins 255 17372 max_depth null 17372 max_iter 100 17372 max_leaf_nodes 31 17372 min_samples_leaf 20 17372 n_iter_no_change null 17372 random_state 55505 17372 scoring null 17372 tol 1e-07 17372 validation_fraction 0.1 17372 verbose 0 17372 warm_start false 17372 openml-python Sklearn_0.23.dev0. 6 letter https://www.openml.org/data/download/6/dataset_6_letter.arff -1 21760213 description https://api.openml.org/data/download/21760213/description.xml -1 21760214 predictions https://api.openml.org/data/download/21760214/predictions.arff -1 21760215 trace https://api.openml.org/data/download/21760215/trace.arff area_under_roc_curve 0.999742989229922 [0.999993,0.999525,0.999892,0.999768,0.999685,0.999426,0.999532,0.999447,0.999557,0.99942,0.99967,0.999954,0.999948,0.999791,0.999869,0.999593,0.99973,0.999447,0.999918,0.999889,0.999938,0.99969,0.999901,0.999969,0.999895,0.999831] average_cost 0 f_measure 0.9700826642144595 [0.996193,0.941554,0.977351,0.960494,0.959223,0.954897,0.965828,0.950239,0.957503,0.956698,0.958475,0.984738,0.984868,0.971759,0.973615,0.969279,0.972664,0.949086,0.97662,0.97918,0.9877,0.961463,0.986667,0.983565,0.979618,0.979508] kappa 0.9688508307287137 kb_relative_information_score 0.9746608664063119 mean_absolute_error 0.003045226411991077 mean_prior_absolute_error 0.07396191835229461 number_of_instances 20000 [789,766,736,805,768,775,773,734,755,747,739,761,792,783,753,803,783,758,748,796,813,764,752,787,786,734] precision 0.9701904084145754 [0.997459,0.926675,0.987517,0.954601,0.953668,0.953668,0.962725,0.950887,0.960053,0.967168,0.964384,0.994638,0.983627,0.976774,0.967235,0.97601,0.968354,0.939276,0.975968,0.983523,0.9877,0.959583,0.989305,0.978616,0.980867,0.982192] predictive_accuracy 0.97005 prior_entropy 4.6998107276322685 recall 0.97005 [0.99493,0.956919,0.967391,0.96646,0.964844,0.956129,0.968952,0.949591,0.954967,0.946452,0.952639,0.975033,0.986111,0.966794,0.98008,0.96264,0.977011,0.959103,0.977273,0.974874,0.9877,0.963351,0.984043,0.988564,0.978372,0.976839] relative_absolute_error 0.04117289653691901 root_mean_prior_squared_error 0.19230433563020993 root_mean_squared_error 0.04186391947103654 root_relative_squared_error 0.21769618107590893 total_cost 0 area_under_roc_curve 0.9998030065579754 [0.999993,0.999649,0.999965,0.999916,0.999561,0.999554,0.999953,0.999659,0.999214,0.999151,0.999902,1,1,1,0.999903,0.999837,0.999793,0.999774,0.999792,1,1,0.999372,0.999931,0.999987,0.999941,0.999972] area_under_roc_curve 0.999819551300725 [0.99998,0.999075,0.999993,0.999936,0.999811,0.999703,0.999831,0.999972,0.999897,0.999951,0.999768,0.999973,0.999941,0.999914,0.999868,0.999531,1,0.999166,0.999924,0.999967,1,0.99948,0.999882,0.999783,0.999974,0.999993] area_under_roc_curve 0.9997563851206497 [0.999987,0.999568,0.999909,0.99982,0.999863,0.999873,0.999406,0.999517,0.999412,0.999726,0.999747,0.999959,0.999855,0.999783,0.999965,0.999531,0.998539,0.999405,0.999972,0.999993,0.999968,0.999993,1,1,1,0.999867] area_under_roc_curve 0.999737757926218 [1,0.998784,0.999804,0.999681,0.999925,0.99988,0.999851,0.999602,0.999918,0.999834,0.999666,0.999952,1,0.999644,0.999792,0.999922,0.9998,0.998386,0.999979,0.999914,1,0.999757,0.999494,0.999987,0.999934,0.999607] area_under_roc_curve 0.9996984216403957 [1,0.999899,0.999986,0.999681,0.999649,0.998106,0.999676,0.9999,0.998605,0.999162,0.999628,0.999973,0.999967,0.999773,0.999945,0.999772,0.999967,0.999597,0.999952,0.999818,0.999994,0.999316,0.999952,1,0.99994,0.999886] area_under_roc_curve 0.9997393372236426 [1,0.999788,0.999677,0.999818,0.999777,0.999686,0.998939,0.998685,0.999861,0.999418,0.999684,1,0.999901,0.999573,0.999576,0.999993,0.999908,0.999583,0.999848,0.999785,1,0.99987,0.999924,0.999993,0.999887,0.999964] area_under_roc_curve 0.9998237245188822 [1,0.999685,0.999865,0.999805,0.999575,0.999653,0.99972,0.999832,0.999834,0.999785,0.999579,1,0.999954,0.999666,0.999767,0.999694,0.999848,0.999569,0.999952,0.999915,0.999949,0.999891,1,0.999941,0.999947,0.999986] area_under_roc_curve 0.9997065436927302 [1,0.999884,0.999936,0.999694,0.999318,0.999554,0.999613,0.99979,0.999827,0.999806,0.999649,0.999809,1,0.999833,0.999836,0.997768,0.999802,0.99974,0.999875,0.999928,0.999929,0.99959,0.999972,0.999993,0.999393,0.999936] area_under_roc_curve 0.9997278834394743 [1,0.999555,0.999808,0.999665,0.999635,0.998541,0.999662,0.999214,0.999349,0.999086,0.999656,0.999973,1,0.999773,0.999993,0.999858,0.999887,0.999723,0.999965,0.999883,0.999987,0.999822,0.999952,0.99996,0.999974,0.999929] area_under_roc_curve 0.9996741245923255 [0.99998,0.999696,0.999993,0.999633,0.99977,0.999743,0.998872,0.998099,0.999737,0.998379,0.999558,0.999938,0.999908,0.99998,0.999986,0.999955,0.999893,0.999681,0.999917,0.999674,0.999733,0.999822,1,0.999987,0.999987,0.999488] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.9765707350189371 [0.993631,0.938272,0.993197,0.975,0.942675,0.966887,0.974026,0.972222,0.961039,0.951724,0.972603,1,0.993711,0.993548,0.980392,0.962963,0.961538,0.980392,0.966443,1,1,0.96,0.993289,0.993631,0.981132,0.979592] f_measure 0.9715581715288009 [0.980645,0.941935,1,0.97561,0.961538,0.943396,0.960526,0.993197,0.966887,0.986486,0.951049,0.986842,0.981132,0.968944,0.993289,0.949367,1,0.928105,0.973333,0.987179,0.9875,0.947368,0.972973,0.944785,0.987342,0.993197] f_measure 0.9740058078028736 [0.993631,0.936709,0.993289,0.97561,0.980645,0.955414,0.980645,0.972222,0.945205,0.954248,0.96,0.966443,0.974684,0.968553,0.973333,0.961538,0.961538,0.96,0.986486,0.987342,0.993789,0.974684,1,1,0.993631,0.972222] f_measure 0.9674120510559396 [1,0.906667,0.97931,0.95,0.980392,0.968944,0.980392,0.946667,0.96,0.953642,0.958904,0.973333,0.987654,0.96732,0.961039,0.981132,0.954839,0.926174,0.980132,0.961538,0.987805,0.954839,0.986486,0.9875,0.974684,0.979866] f_measure 0.9690209912833222 [1,0.95,0.957746,0.955975,0.955414,0.941176,0.948718,0.972603,0.947368,0.938776,0.973333,0.986667,0.987342,0.955414,0.973333,0.968944,0.993631,0.947368,0.986667,0.980892,0.987805,0.941935,0.980132,1,0.967742,0.993103] f_measure 0.968039603005504 [1,0.936709,0.965517,0.955975,0.961538,0.961039,0.974359,0.924138,0.973684,0.951724,0.950355,0.979866,0.975,0.980645,0.942675,0.993711,0.968553,0.948718,0.972973,0.957055,0.993865,0.966887,0.973333,0.9875,0.987179,0.97931] f_measure 0.9690251178277056 [1,0.946667,0.965517,0.963415,0.947368,0.955414,0.955975,0.952381,0.966443,0.945205,0.952381,0.986667,0.967742,0.942675,0.966887,0.975309,0.975,0.943396,0.993289,0.981132,0.987654,0.973684,1,0.974684,0.987013,0.986486] f_measure 0.9695022087285633 [1,0.967742,0.972603,0.951807,0.939597,0.954839,0.955414,0.953642,0.966443,0.980132,0.972973,0.986842,1,0.973684,0.96732,0.936709,0.974684,0.961039,0.972973,0.981132,0.975309,0.954839,0.986486,0.987342,0.961039,0.972603] f_measure 0.965445629450597 [1,0.921053,0.958904,0.962963,0.961039,0.933333,0.955414,0.931507,0.927152,0.931507,0.945946,0.993464,0.993711,0.987013,0.993289,0.975,0.968153,0.947368,0.973684,0.975309,0.981818,0.966887,0.986842,0.980892,0.968944,0.972603] f_measure 0.9700722443908132 [0.993711,0.968153,0.986111,0.938272,0.961538,0.967742,0.973684,0.884354,0.960526,0.972603,0.946667,0.986667,0.987342,0.980645,0.986667,0.9875,0.968553,0.948052,0.960526,0.980892,0.981366,0.973684,0.987013,0.980392,0.987342,0.965986] kappa 0.9755589842313847 kappa 0.9703587912315065 kappa 0.9729590519443612 kappa 0.9661988940278127 kappa 0.9677587941789023 kappa 0.9667184004863274 kappa 0.9677586432837093 kappa 0.9682789785831104 kappa 0.9641183968099695 kappa 0.968799060227694 kb_relative_information_score 0.9791458799929427 kb_relative_information_score 0.9755296739300294 kb_relative_information_score 0.9778615560751703 kb_relative_information_score 0.974108367886811 kb_relative_information_score 0.9735829270102885 kb_relative_information_score 0.9721693535511393 kb_relative_information_score 0.9730972497302106 kb_relative_information_score 0.9729499823706189 kb_relative_information_score 0.972384006173727 kb_relative_information_score 0.9757796553190312 mean_absolute_error 0.002553792382100646 mean_absolute_error 0.002988206946221151 mean_absolute_error 0.002641212565619663 mean_absolute_error 0.003121090052510476 mean_absolute_error 0.0032715165516433867 mean_absolute_error 0.003199735138571611 mean_absolute_error 0.003335264363158644 mean_absolute_error 0.0032937596047776328 mean_absolute_error 0.0031343854826514513 mean_absolute_error 0.0029133010326560095 mean_prior_absolute_error 0.07396194754511427 mean_prior_absolute_error 0.07396200900367966 mean_prior_absolute_error 0.07396191681583157 mean_prior_absolute_error 0.07396192641873242 mean_prior_absolute_error 0.07396195714801512 mean_prior_absolute_error 0.07396196483033579 mean_prior_absolute_error 0.07396196867149613 mean_prior_absolute_error 0.07396191489525139 mean_prior_absolute_error 0.07396179389870075 mean_prior_absolute_error 0.0739617842957999 number_of_instances 2000 [79,77,74,81,77,77,77,73,76,74,74,76,79,78,75,80,78,76,75,79,82,77,75,78,79,74] number_of_instances 2000 [78,77,74,81,77,77,77,73,76,74,74,76,79,79,75,80,78,76,75,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,81,76,78,77,73,76,74,74,76,79,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,76,78,77,73,76,75,73,76,80,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,77,78,77,73,76,75,74,76,80,78,75,80,78,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,74,80,77,78,78,73,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,78,78,74,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,77,78,74,75,75,74,76,79,78,76,81,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,81,77,77,77,74,75,75,74,77,79,78,75,81,78,75,75,80,82,76,76,78,79,73] number_of_instances 2000 [79,77,73,81,77,77,77,74,75,75,74,76,79,78,75,81,78,75,75,80,82,76,76,78,79,73] precision 0.9770809348814227 [1,0.894118,1,0.987342,0.925,0.986486,0.974026,0.985915,0.948718,0.971831,0.986111,1,0.9875,1,0.961538,0.95122,0.961538,0.974026,0.972973,1,1,0.986301,1,0.987342,0.975,0.986301] precision 0.9719970797075118 [0.987013,0.935897,1,0.963855,0.949367,0.914634,0.973333,0.986486,0.973333,0.986486,0.985507,0.986842,0.975,0.95122,1,0.961538,1,0.922078,0.973333,1,1,0.96,0.986301,0.916667,0.987342,1] precision 0.9745399377621481 [1,0.91358,0.986667,0.963855,0.962025,0.949367,0.974359,0.985915,0.985714,0.924051,0.947368,0.986301,0.974684,0.9625,0.973333,0.986842,0.961538,0.972973,0.986486,0.987342,1,0.950617,1,1,1,1] precision 0.9678248443218302 [1,0.931507,1,0.95,0.974026,0.939759,0.986842,0.922078,0.972973,0.947368,0.958904,0.986486,0.97561,1,0.936709,0.987342,0.961039,0.945205,0.961039,0.974026,0.975904,0.948718,1,0.975309,0.974684,0.973333] precision 0.9694963949359353 [1,0.915663,1,0.962025,0.9375,0.96,0.936709,0.972603,0.947368,0.958333,0.960526,1,1,0.949367,0.973333,0.962963,0.987342,0.947368,0.986667,1,0.975904,0.924051,0.973684,1,0.974026,1] precision 0.9687479273475652 [1,0.902439,0.985915,0.962025,0.949367,0.973684,0.974359,0.930556,0.961039,0.985714,1,1,0.962963,0.987013,0.91358,1,0.9625,0.925,0.986301,0.939759,0.987805,0.973333,0.973333,0.975309,0.987179,0.986111] precision 0.969461464553219 [1,0.959459,0.972222,0.940476,0.96,0.949367,0.938272,0.958904,0.972973,0.971831,0.958904,1,0.986842,0.936709,0.973333,0.963415,0.962963,0.903614,1,0.987342,0.987654,0.973684,1,0.974684,1,0.973333] precision 0.9699401290972857 [1,0.949367,0.972603,0.918605,0.972222,0.948718,0.949367,0.935065,0.972973,0.973684,0.972973,0.986842,1,1,0.961039,0.961039,0.974684,0.948718,0.986301,0.987342,0.975309,0.936709,1,0.987342,0.973684,0.972603] precision 0.9656485737082465 [1,0.921053,0.958904,0.962963,0.961039,0.958904,0.9375,0.944444,0.921053,0.957746,0.945946,1,0.9875,1,1,0.987342,0.962025,0.935065,0.961039,0.963415,0.975904,0.973333,0.986842,0.974684,0.95122,0.972603] precision 0.9705180620019912 [0.9875,0.95,1,0.938272,0.949367,0.961538,0.986667,0.890411,0.948052,1,0.934211,1,0.987342,0.987013,0.986667,1,0.950617,0.924051,0.948052,1,1,0.973684,0.974359,1,0.987342,0.959459] predictive_accuracy 0.9765 predictive_accuracy 0.9715 predictive_accuracy 0.9740000000000001 predictive_accuracy 0.9675 predictive_accuracy 0.9690000000000001 predictive_accuracy 0.968 predictive_accuracy 0.9690000000000001 predictive_accuracy 0.9695 predictive_accuracy 0.9655 predictive_accuracy 0.97 prior_entropy 4.699825815607033 prior_entropy 4.699854731688913 prior_entropy 4.699809751694497 prior_entropy 4.699813724681224 prior_entropy 4.6998289081692235 prior_entropy 4.699832499136173 prior_entropy 4.69983445932086 prior_entropy 4.699808889896364 prior_entropy 4.69975160696033 prior_entropy 4.699746889170326 recall 0.9765 [0.987342,0.987013,0.986486,0.962963,0.961039,0.948052,0.974026,0.958904,0.973684,0.932432,0.959459,1,1,0.987179,1,0.975,0.961538,0.986842,0.96,1,1,0.935065,0.986667,1,0.987342,0.972973] recall 0.9715 [0.974359,0.948052,1,0.987654,0.974026,0.974026,0.948052,1,0.960526,0.986486,0.918919,0.986842,0.987342,0.987342,0.986667,0.9375,1,0.934211,0.973333,0.974684,0.975309,0.935065,0.96,0.974684,0.987342,0.986486] recall 0.974 [0.987342,0.961039,1,0.987654,1,0.961538,0.987013,0.958904,0.907895,0.986486,0.972973,0.947368,0.974684,0.974684,0.973333,0.9375,0.961538,0.947368,0.986486,0.987342,0.987654,1,1,1,0.987342,0.945946] recall 0.9675 [1,0.883117,0.959459,0.95,0.986842,1,0.974026,0.972603,0.947368,0.96,0.958904,0.960526,1,0.936709,0.986667,0.975,0.948718,0.907895,1,0.949367,1,0.961039,0.973333,1,0.974684,0.986486] recall 0.969 [1,0.987013,0.918919,0.95,0.974026,0.923077,0.961039,0.972603,0.947368,0.92,0.986486,0.973684,0.975,0.961538,0.973333,0.975,1,0.947368,0.986667,0.9625,1,0.960526,0.986667,1,0.961538,0.986301] recall 0.968 [1,0.973684,0.945946,0.95,0.974026,0.948718,0.974359,0.917808,0.986667,0.92,0.905405,0.960526,0.987342,0.974359,0.973684,0.9875,0.974684,0.973684,0.96,0.975,1,0.960526,0.973333,1,0.987179,0.972603] recall 0.969 [1,0.934211,0.958904,0.9875,0.935065,0.961538,0.974359,0.945946,0.96,0.92,0.945946,0.973684,0.949367,0.948718,0.960526,0.9875,0.987342,0.986842,0.986667,0.975,0.987654,0.973684,1,0.974684,0.974359,1] recall 0.9695 [1,0.986842,0.972603,0.9875,0.909091,0.961039,0.961538,0.972973,0.96,0.986667,0.972973,0.986842,1,0.948718,0.973684,0.91358,0.974684,0.973684,0.96,0.975,0.975309,0.973684,0.973333,0.987342,0.948718,0.972603] recall 0.9655 [1,0.921053,0.958904,0.962963,0.961039,0.909091,0.974026,0.918919,0.933333,0.906667,0.945946,0.987013,1,0.974359,0.986667,0.962963,0.974359,0.96,0.986667,0.9875,0.987805,0.960526,0.986842,0.987179,0.987342,0.972603] recall 0.97 [1,0.987013,0.972603,0.938272,0.974026,0.974026,0.961039,0.878378,0.973333,0.946667,0.959459,0.973684,0.987342,0.974359,0.986667,0.975309,0.987179,0.973333,0.973333,0.9625,0.963415,0.973684,1,0.961538,0.987342,0.972603] relative_absolute_error 0.03452846317416019 relative_absolute_error 0.04040191696351144 relative_absolute_error 0.035710439633364274 relative_absolute_error 0.04219860411477863 relative_absolute_error 0.04423242269125355 relative_absolute_error 0.043261900166005694 relative_absolute_error 0.04509431567421226 relative_absolute_error 0.0445331845375072 relative_absolute_error 0.04237844050868149 relative_absolute_error 0.03938927461518053 root_mean_prior_squared_error 0.1923044115328483 root_mean_prior_squared_error 0.19230457132777806 root_mean_prior_squared_error 0.19230433163533361 root_mean_prior_squared_error 0.19230435660331052 root_mean_prior_squared_error 0.19230443650081483 root_mean_prior_squared_error 0.19230445647518574 root_mean_prior_squared_error 0.1923044664623704 root_mean_prior_squared_error 0.19230432664173788 root_mean_prior_squared_error 0.192304012044943 root_mean_prior_squared_error 0.19230398707692134 root_mean_squared_error 0.03776158347957142 root_mean_squared_error 0.041202011020338346 root_mean_squared_error 0.03932508773461237 root_mean_squared_error 0.042952740102284476 root_mean_squared_error 0.04256453166069157 root_mean_squared_error 0.04336504768965725 root_mean_squared_error 0.04300975860032247 root_mean_squared_error 0.04300122851061149 root_mean_squared_error 0.04403367100762427 root_mean_squared_error 0.04099705283105573 root_relative_squared_error 0.19636358406224713 root_relative_squared_error 0.2142539344533345 root_relative_squared_error 0.2044940298546393 root_relative_squared_error 0.22335812282655815 root_relative_squared_error 0.22133931195347753 root_relative_squared_error 0.22550204235778032 root_relative_squared_error 0.22365449639069354 root_relative_squared_error 0.22361030176259422 root_relative_squared_error 0.22897947130366292 root_relative_squared_error 0.21318878227239751 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 wall_clock_time_millis 1049213.5038375854 wall_clock_time_millis 1048601.6654968262 wall_clock_time_millis 1086676.1012077332 wall_clock_time_millis 1063972.6223945618 wall_clock_time_millis 1011890.4464244843 wall_clock_time_millis 1001163.3720397949 wall_clock_time_millis 1088418.2431697845 wall_clock_time_millis 1087735.6905937195 wall_clock_time_millis 1060146.4068889618 wall_clock_time_millis 1030897.7198600769 wall_clock_time_millis_testing 84.66553688049316 wall_clock_time_millis_testing 67.73996353149414 wall_clock_time_millis_testing 68.18175315856934 wall_clock_time_millis_testing 67.04378128051758 wall_clock_time_millis_testing 62.461137771606445 wall_clock_time_millis_testing 66.49470329284668 wall_clock_time_millis_testing 67.23690032958984 wall_clock_time_millis_testing 65.3069019317627 wall_clock_time_millis_testing 65.1099681854248 wall_clock_time_millis_testing 67.22712516784668 wall_clock_time_millis_training 1049128.838300705 wall_clock_time_millis_training 1048533.9255332947 wall_clock_time_millis_training 1086607.9194545746 wall_clock_time_millis_training 1063905.5786132812 wall_clock_time_millis_training 1011827.9852867126 wall_clock_time_millis_training 1001096.8773365021 wall_clock_time_millis_training 1088351.006269455 wall_clock_time_millis_training 1087670.3836917877 wall_clock_time_millis_training 1060081.2969207764 wall_clock_time_millis_training 1030830.492734909