10324968 8323 Heinrich Peters 3573 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8154377 l2_regularization 10.0 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 64 12677 max_depth 20 12677 max_iter 100 12677 max_leaf_nodes 8 12677 min_samples_leaf 3 12677 n_iter_no_change null 12677 random_state 31334 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 554 mnist_784 https://www.openml.org/data/download/52667/mnist_784.arff -1 21571622 description https://api.openml.org/data/download/21571622/description.xml -1 21571623 predictions https://api.openml.org/data/download/21571623/predictions.arff area_under_roc_curve 0.9986304150069315 [0.999537,0.999624,0.998669,0.998152,0.998611,0.998608,0.999346,0.998102,0.998312,0.997255] average_cost 0 f_measure 0.9609234250392659 [0.977337,0.981371,0.956341,0.952823,0.960527,0.953871,0.972026,0.961051,0.950428,0.940384] kappa 0.95657278966118 kb_relative_information_score 0.9616133889669989 mean_absolute_error 0.008472245099466476 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9609265820318544 [0.976983,0.979633,0.958471,0.956792,0.960035,0.956224,0.97125,0.959541,0.949941,0.937696] predictive_accuracy 0.9609285714285715 prior_entropy 3.319837025446073 recall 0.9609285714285715 [0.977691,0.983115,0.95422,0.948887,0.96102,0.951529,0.972804,0.962567,0.950916,0.943087] relative_absolute_error 0.047083347746543554 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.07986313688228594 root_relative_squared_error 0.26625378122055116 total_cost 0 area_under_roc_curve 0.9987137259395449 [0.999708,0.999316,0.998258,0.998144,0.999041,0.998867,0.99935,0.99909,0.997781,0.997522] area_under_roc_curve 0.9985356791934528 [0.999184,0.999515,0.998857,0.998229,0.998219,0.998005,0.999445,0.997392,0.998381,0.998019] area_under_roc_curve 0.9987056335788554 [0.999548,0.999815,0.998796,0.998636,0.999265,0.998705,0.99919,0.998214,0.998068,0.996711] area_under_roc_curve 0.9983630898769142 [0.999524,0.999174,0.997931,0.998259,0.998428,0.998192,0.998621,0.997759,0.998733,0.996943] area_under_roc_curve 0.9988427201466951 [0.999765,0.999576,0.998986,0.998046,0.99904,0.998672,0.999477,0.998781,0.998154,0.997845] area_under_roc_curve 0.9979747165836401 [0.99942,0.999591,0.998176,0.996743,0.997489,0.99808,0.999653,0.996131,0.998394,0.996016] area_under_roc_curve 0.9987624781893893 [0.999441,0.999811,0.998835,0.997891,0.998155,0.99901,0.999525,0.998736,0.998072,0.998046] area_under_roc_curve 0.998420929592432 [0.999617,0.999853,0.999153,0.997771,0.998647,0.998575,0.999585,0.997076,0.997882,0.99597] area_under_roc_curve 0.999009885150341 [0.999777,0.999826,0.999077,0.99868,0.998555,0.999102,0.999431,0.998979,0.99908,0.997506] area_under_roc_curve 0.9990207443597163 [0.999422,0.999805,0.998587,0.99931,0.999231,0.998887,0.999203,0.999088,0.998579,0.997974] 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 0.9606924507061921 [0.979827,0.981587,0.953001,0.957924,0.956713,0.96038,0.967462,0.959128,0.950554,0.937724] f_measure 0.9611361020945034 [0.972543,0.980964,0.954155,0.949965,0.964103,0.951394,0.976676,0.966644,0.950073,0.941512] f_measure 0.9581302648585536 [0.972424,0.979849,0.963336,0.954103,0.963018,0.945107,0.970845,0.955041,0.945906,0.927954] f_measure 0.9614566891939291 [0.981923,0.979566,0.951289,0.952247,0.964207,0.954654,0.971636,0.959889,0.954182,0.942512] f_measure 0.9598622372510409 [0.986202,0.981013,0.957143,0.946704,0.950365,0.952153,0.976574,0.958362,0.951344,0.93574] f_measure 0.9588489516541091 [0.975327,0.979021,0.948645,0.949466,0.961988,0.960568,0.970397,0.959016,0.944649,0.937233] f_measure 0.9589981703231719 [0.972222,0.980417,0.958067,0.94507,0.958884,0.956869,0.968162,0.958133,0.943257,0.946176] f_measure 0.9635844876324354 [0.97974,0.98665,0.963493,0.955603,0.966325,0.951181,0.978198,0.964187,0.946221,0.940245] f_measure 0.9638191463920752 [0.97554,0.985434,0.963016,0.952516,0.962637,0.950119,0.970225,0.96514,0.96405,0.94577] f_measure 0.962673607691292 [0.977585,0.979232,0.951131,0.96446,0.957091,0.956245,0.970182,0.964997,0.953981,0.948884] kappa 0.9563347166041447 kappa 0.956810594905474 kappa 0.9534746349426134 kappa 0.9571300739336106 kappa 0.9553812685348071 kappa 0.9542716266285572 kappa 0.9544281853303398 kappa 0.9595118053708667 kappa 0.9598280805165034 kappa 0.9585566536895535 kb_relative_information_score 0.9618430202967204 kb_relative_information_score 0.9619610900716111 kb_relative_information_score 0.9594106494447923 kb_relative_information_score 0.9618635147268008 kb_relative_information_score 0.9615616354516097 kb_relative_information_score 0.9588254462861581 kb_relative_information_score 0.9596045182759774 kb_relative_information_score 0.9626502037527753 kb_relative_information_score 0.9649754885476146 kb_relative_information_score 0.9634382899734882 mean_absolute_error 0.008412961203215245 mean_absolute_error 0.008410361189190665 mean_absolute_error 0.008979357228423673 mean_absolute_error 0.008486270010536524 mean_absolute_error 0.008465006294734331 mean_absolute_error 0.00896027619142194 mean_absolute_error 0.008903583929821773 mean_absolute_error 0.008194347934294957 mean_absolute_error 0.007849976631807795 mean_absolute_error 0.008060310381219116 mean_prior_absolute_error 0.17994152998551463 mean_prior_absolute_error 0.17994170016528485 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799414581590409 mean_prior_absolute_error 0.17994139612708626 mean_prior_absolute_error 0.17994173893525653 number_of_instances 7000 [691,787,699,714,682,631,687,730,683,696] number_of_instances 7000 [691,787,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,715,683,632,687,729,682,695] number_of_instances 7000 [690,788,699,714,683,632,687,730,682,695] number_of_instances 7000 [691,787,699,714,682,632,687,730,682,696] precision 0.9607257938953306 [0.97561,0.980964,0.96345,0.95927,0.957416,0.96038,0.961207,0.95393,0.958333,0.934379] precision 0.961167774164633 [0.97114,0.979721,0.955524,0.956028,0.963397,0.956731,0.979532,0.959459,0.952872,0.934844] precision 0.9581752201246018 [0.973837,0.9725,0.968208,0.947514,0.971642,0.948882,0.973684,0.948579,0.944526,0.930636] precision 0.9615510001144217 [0.979798,0.985861,0.952654,0.95493,0.960699,0.958466,0.972344,0.967922,0.947977,0.931276] precision 0.9599124257429283 [0.988355,0.978535,0.955777,0.948034,0.946221,0.958266,0.983776,0.953804,0.943804,0.940493] precision 0.9589287212986737 [0.976744,0.980892,0.945946,0.965268,0.960584,0.956044,0.964132,0.955102,0.950966,0.930595] precision 0.9590883035557763 [0.980826,0.976101,0.951977,0.950425,0.961708,0.964573,0.963977,0.958791,0.948148,0.932961] precision 0.963632378726722 [0.978324,0.988535,0.964183,0.963068,0.966325,0.946708,0.976778,0.968188,0.93804,0.940922] precision 0.9638332137111951 [0.968571,0.983565,0.957567,0.964132,0.963343,0.950872,0.968116,0.963165,0.964758,0.950581] precision 0.9627526413400542 [0.976879,0.970075,0.970238,0.959778,0.949495,0.9616,0.969477,0.966988,0.950509,0.950938] predictive_accuracy 0.9607142857142857 predictive_accuracy 0.9611428571428572 predictive_accuracy 0.9581428571428572 predictive_accuracy 0.9614285714285714 predictive_accuracy 0.9598571428571429 predictive_accuracy 0.9588571428571429 predictive_accuracy 0.9590000000000001 predictive_accuracy 0.9635714285714286 predictive_accuracy 0.9638571428571429 predictive_accuracy 0.9627142857142857 prior_entropy 3.319842722993559 prior_entropy 3.3198548559727135 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.319827686603566 prior_entropy 3.319827686603566 prior_entropy 3.3198399404547705 prior_entropy 3.319835600159663 prior_entropy 3.3198587924440996 recall 0.9607142857142857 [0.984081,0.982211,0.942775,0.956583,0.956012,0.96038,0.973799,0.964384,0.942899,0.941092] recall 0.9611428571428572 [0.973951,0.982211,0.95279,0.943978,0.964809,0.946117,0.973837,0.973937,0.947291,0.948276] recall 0.9581428571428572 [0.971014,0.98731,0.958512,0.960784,0.954545,0.941363,0.968023,0.961591,0.947291,0.925287] recall 0.9614285714285714 [0.984058,0.97335,0.949928,0.94958,0.967742,0.950872,0.97093,0.951989,0.960469,0.954023] recall 0.9598571428571429 [0.984058,0.983503,0.958512,0.945378,0.954545,0.946117,0.969477,0.962963,0.959004,0.931034] recall 0.9588571428571429 [0.973913,0.977157,0.951359,0.934174,0.963397,0.965135,0.976744,0.962963,0.938416,0.943966] recall 0.959 [0.963768,0.984772,0.964235,0.939776,0.956076,0.949287,0.972384,0.957476,0.938416,0.95977] recall 0.9635714285714285 [0.981159,0.984772,0.962804,0.948252,0.966325,0.955696,0.979622,0.960219,0.954545,0.939568] recall 0.9638571428571429 [0.982609,0.98731,0.968526,0.941176,0.961933,0.949367,0.972344,0.967123,0.963343,0.941007] recall 0.9627142857142857 [0.978292,0.988564,0.932761,0.969188,0.964809,0.950949,0.970888,0.963014,0.957478,0.946839] relative_absolute_error 0.04675386056733258 relative_absolute_error 0.04673936714761145 relative_absolute_error 0.04990159065836504 relative_absolute_error 0.047161323634798136 relative_absolute_error 0.0470431533454507 relative_absolute_error 0.04979555020494883 relative_absolute_error 0.049480490456964066 relative_absolute_error 0.04553896593998032 relative_absolute_error 0.04362518464769293 relative_absolute_error 0.044794000707747056 root_mean_prior_squared_error 0.2999513442637286 root_mean_prior_squared_error 0.29995162794255353 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995122453349654 root_mean_prior_squared_error 0.2999511211300758 root_mean_prior_squared_error 0.2999516925695864 root_mean_squared_error 0.07970809359391481 root_mean_squared_error 0.07950940252631926 root_mean_squared_error 0.08154100661505877 root_mean_squared_error 0.07994120935911 root_mean_squared_error 0.08036538251785327 root_mean_squared_error 0.08319364864987265 root_mean_squared_error 0.08189102509403291 root_mean_squared_error 0.07909855220886647 root_mean_squared_error 0.07554510900741865 root_mean_squared_error 0.07756923364566035 root_relative_squared_error 0.26573674403616754 root_relative_squared_error 0.26507408235019425 root_relative_squared_error 0.27184778859231956 root_relative_squared_error 0.26651425931325595 root_relative_squared_error 0.26792840098223164 root_relative_squared_error 0.2773574953013238 root_relative_squared_error 0.273014706967941 root_relative_squared_error 0.2637047150978818 root_relative_squared_error 0.2518580651500816 root_relative_squared_error 0.2586057540837677 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 usercpu_time_millis 373441.3675620017 usercpu_time_millis 369902.38386900094 usercpu_time_millis 368173.52562100126 usercpu_time_millis 367505.83525800175 usercpu_time_millis 372021.26945200504 usercpu_time_millis 366189.4226889999 usercpu_time_millis 366918.0171049993 usercpu_time_millis 373631.4466939984 usercpu_time_millis 369976.54226000304 usercpu_time_millis 371114.7774700003 usercpu_time_millis_testing 583.4332150006958 usercpu_time_millis_testing 609.364779000316 usercpu_time_millis_testing 609.5184350015188 usercpu_time_millis_testing 643.7177219995647 usercpu_time_millis_testing 534.7442660022352 usercpu_time_millis_testing 608.8995199970668 usercpu_time_millis_testing 559.8272729985183 usercpu_time_millis_testing 635.1345429975481 usercpu_time_millis_testing 621.0267140013457 usercpu_time_millis_testing 608.9356039992708 usercpu_time_millis_training 372857.934347001 usercpu_time_millis_training 369293.0190900006 usercpu_time_millis_training 367564.00718599977 usercpu_time_millis_training 366862.1175360022 usercpu_time_millis_training 371486.52518600284 usercpu_time_millis_training 365580.52316900284 usercpu_time_millis_training 366358.18983200076 usercpu_time_millis_training 372996.3121510009 usercpu_time_millis_training 369355.5155460017 usercpu_time_millis_training 370505.841866001 wall_clock_time_millis 385174.4225025177 wall_clock_time_millis 370025.88987350464 wall_clock_time_millis 368269.51336860657 wall_clock_time_millis 367630.79047203064 wall_clock_time_millis 372178.0834197998 wall_clock_time_millis 366261.32893562317 wall_clock_time_millis 366986.69695854187 wall_clock_time_millis 373691.16735458374 wall_clock_time_millis 370047.6667881012 wall_clock_time_millis 371238.5149002075 wall_clock_time_millis_testing 583.4567546844482 wall_clock_time_millis_testing 609.3785762786865 wall_clock_time_millis_testing 609.5917224884033 wall_clock_time_millis_testing 663.1069183349609 wall_clock_time_millis_testing 534.757137298584 wall_clock_time_millis_testing 608.9358329772949 wall_clock_time_millis_testing 559.8618984222412 wall_clock_time_millis_testing 635.1668834686279 wall_clock_time_millis_testing 621.0756301879883 wall_clock_time_millis_testing 608.9487075805664 wall_clock_time_millis_training 384590.96574783325 wall_clock_time_millis_training 369416.51129722595 wall_clock_time_millis_training 367659.92164611816 wall_clock_time_millis_training 366967.6835536957 wall_clock_time_millis_training 371643.3262825012 wall_clock_time_millis_training 365652.3931026459 wall_clock_time_millis_training 366426.8350601196 wall_clock_time_millis_training 373056.0004711151 wall_clock_time_millis_training 369426.5911579132 wall_clock_time_millis_training 370629.56619262695