10330471 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) 8154375 l2_regularization 1e-10 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 2 12677 max_depth 18 12677 max_iter 500 12677 max_leaf_nodes 32 12677 min_samples_leaf 8 12677 n_iter_no_change null 12677 random_state 55466 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 21582640 description https://api.openml.org/data/download/21582640/description.xml -1 21582641 predictions https://api.openml.org/data/download/21582641/predictions.arff area_under_roc_curve 0.9997552100856285 [0.999945,0.99989,0.999766,0.999653,0.999666,0.999743,0.999861,0.999757,0.999707,0.999549] average_cost 0 f_measure 0.9836399154249441 [0.990457,0.990928,0.982441,0.980704,0.984309,0.980473,0.98729,0.983209,0.978649,0.976801] kappa 0.9818194434310614 kb_relative_information_score 0.9838142772877175 mean_absolute_error 0.0035409147648159498 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9836473442402963 [0.988599,0.990363,0.980342,0.9864,0.985031,0.982657,0.986073,0.982872,0.976792,0.97631] predictive_accuracy 0.9836428571428572 prior_entropy 3.319837025446073 recall 0.9836428571428572 [0.992322,0.991494,0.984549,0.975074,0.983587,0.978299,0.988511,0.983546,0.980513,0.977292] relative_absolute_error 0.01967815133478594 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.052461729458709416 root_relative_squared_error 0.17490089148813748 total_cost 0 area_under_roc_curve 0.9998133528868133 [0.999981,0.999919,0.999681,0.999663,0.999918,0.999805,0.999897,0.999782,0.999735,0.999746] area_under_roc_curve 0.9997193364328598 [0.999923,0.999946,0.999756,0.999677,0.998929,0.999592,0.999859,0.99984,0.999745,0.999867] area_under_roc_curve 0.9997430132191114 [0.999939,0.999901,0.999842,0.999764,0.999877,0.999879,0.99952,0.999751,0.999417,0.999527] area_under_roc_curve 0.999590673546285 [0.999956,0.999796,0.999516,0.999562,0.999585,0.999507,0.999833,0.999621,0.999604,0.998898] area_under_roc_curve 0.9998165764475181 [0.999959,0.999665,0.99985,0.999756,0.9999,0.999876,0.999913,0.999878,0.999673,0.999722] area_under_roc_curve 0.9997513002671146 [0.999938,0.999939,0.999763,0.999778,0.999192,0.999767,0.999899,0.999868,0.999709,0.999623] area_under_roc_curve 0.9997293459916413 [0.999973,0.99997,0.999772,0.999279,0.999727,0.999831,0.999947,0.999426,0.999737,0.99964] area_under_roc_curve 0.9997853008082986 [0.999943,0.999944,0.999863,0.999614,0.999882,0.99965,0.999938,0.999871,0.999774,0.999346] area_under_roc_curve 0.9998308246927928 [0.999966,0.999973,0.999841,0.999713,0.999808,0.999746,0.999905,0.999858,0.999881,0.999594] area_under_roc_curve 0.999801428921541 [0.999876,0.999882,0.999796,0.999779,0.999832,0.999781,0.999934,0.999727,0.999824,0.999579] 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 0.9829966814940803 [0.993502,0.991725,0.980673,0.979592,0.988338,0.976892,0.986202,0.976871,0.972222,0.982659] f_measure 0.9847106775865071 [0.987013,0.989861,0.982857,0.983051,0.988979,0.982512,0.985486,0.987654,0.974359,0.984286] f_measure 0.9839941812382208 [0.987708,0.988622,0.985673,0.984594,0.986765,0.983373,0.985486,0.986283,0.97654,0.974063] f_measure 0.981709249820055 [0.989201,0.991746,0.980728,0.975921,0.980132,0.979398,0.987618,0.977382,0.978102,0.975714] f_measure 0.9832824013602199 [0.993474,0.988608,0.985032,0.974612,0.983125,0.983267,0.989826,0.982888,0.97807,0.973515] f_measure 0.9832912373843522 [0.989138,0.989193,0.975852,0.981664,0.97807,0.988086,0.989855,0.980822,0.98457,0.975575] f_measure 0.9838609791814863 [0.992733,0.992376,0.979476,0.978092,0.982456,0.980952,0.986242,0.982747,0.982379,0.980029] f_measure 0.9826987228822722 [0.989914,0.992386,0.98356,0.977496,0.988287,0.973872,0.986242,0.984848,0.978878,0.969565] f_measure 0.9858519323012299 [0.991329,0.991117,0.987124,0.98518,0.986081,0.977742,0.985486,0.987031,0.983273,0.982659] f_measure 0.9840051062064155 [0.990587,0.993663,0.983513,0.986741,0.980826,0.978656,0.99049,0.985607,0.978102,0.969914] kappa 0.9811048902925659 kappa 0.983010227094741 kappa 0.9822161954884711 kappa 0.9796760572204277 kappa 0.9814221820915143 kappa 0.981422577366289 kappa 0.98205785228908 kappa 0.9807876248169268 kappa 0.9842805339909408 kappa 0.9822163157001373 kb_relative_information_score 0.9831868700472651 kb_relative_information_score 0.9854997517014368 kb_relative_information_score 0.9837047191791694 kb_relative_information_score 0.982067958445373 kb_relative_information_score 0.9840908944501663 kb_relative_information_score 0.9836344500211492 kb_relative_information_score 0.9834694648353665 kb_relative_information_score 0.9827038005004698 kb_relative_information_score 0.9857404047025168 kb_relative_information_score 0.9840444453802515 mean_absolute_error 0.0035954845245102936 mean_absolute_error 0.0032428391855949252 mean_absolute_error 0.0035258555405129313 mean_absolute_error 0.003914742050933517 mean_absolute_error 0.0035115153499741883 mean_absolute_error 0.0035956228109799535 mean_absolute_error 0.0036156278247167256 mean_absolute_error 0.0037192479368361323 mean_absolute_error 0.0031931214606298434 mean_absolute_error 0.0034950909634705474 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 0.9830293565287641 [0.991354,0.993622,0.981375,0.984441,0.982609,0.982372,0.984058,0.97027,0.970803,0.988372] precision 0.9847345557282938 [0.984173,0.987358,0.981455,0.991453,0.991163,0.985646,0.984058,0.987654,0.975073,0.978693] precision 0.9839970854219291 [0.98557,0.984887,0.987088,0.984594,0.989676,0.982595,0.984058,0.986283,0.977974,0.976879] precision 0.9817505269711964 [0.982833,0.992376,0.978632,0.987106,0.983752,0.979398,0.989781,0.976712,0.975255,0.97017] precision 0.9833023743621231 [0.994194,0.986111,0.981534,0.981534,0.983847,0.988782,0.989826,0.980874,0.976642,0.970043] precision 0.9833218338573788 [0.988423,0.991083,0.96897,0.988636,0.976642,0.990446,0.986994,0.97948,0.986745,0.975575] precision 0.9839273420148865 [0.995627,0.993639,0.969188,0.987161,0.981022,0.982512,0.982684,0.988889,0.983824,0.973088] precision 0.9827229572065357 [0.984241,0.992386,0.982857,0.983027,0.988287,0.974643,0.981268,0.988935,0.972504,0.976642] precision 0.9858845442285263 [0.988473,0.991117,0.987124,0.992888,0.986804,0.982428,0.982634,0.983673,0.975469,0.986938] precision 0.9840323065548648 [0.991304,0.99115,0.985632,0.98331,0.986647,0.977883,0.995588,0.986283,0.973837,0.967143] predictive_accuracy 0.983 predictive_accuracy 0.9847142857142858 predictive_accuracy 0.9840000000000001 predictive_accuracy 0.9817142857142858 predictive_accuracy 0.9832857142857142 predictive_accuracy 0.9832857142857142 predictive_accuracy 0.9838571428571429 predictive_accuracy 0.9827142857142858 predictive_accuracy 0.9858571428571429 predictive_accuracy 0.9840000000000001 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 0.983 [0.995658,0.989835,0.979971,0.97479,0.994135,0.971474,0.988355,0.983562,0.973646,0.977011] recall 0.9847142857142858 [0.98987,0.992376,0.984263,0.97479,0.986804,0.979398,0.986919,0.987654,0.973646,0.989943] recall 0.984 [0.989855,0.992386,0.984263,0.984594,0.983871,0.984152,0.986919,0.986283,0.97511,0.971264] recall 0.9817142857142858 [0.995652,0.991117,0.982833,0.964986,0.97654,0.979398,0.985465,0.978052,0.980966,0.981322] recall 0.9832857142857143 [0.992754,0.991117,0.988555,0.967787,0.982405,0.977813,0.989826,0.984911,0.979502,0.977011] recall 0.9832857142857143 [0.989855,0.98731,0.982833,0.97479,0.979502,0.985737,0.992733,0.982167,0.982405,0.975575] recall 0.9838571428571429 [0.989855,0.991117,0.989986,0.969188,0.983895,0.979398,0.989826,0.97668,0.980938,0.987069] recall 0.9827142857142858 [0.995652,0.992386,0.984263,0.972028,0.988287,0.973101,0.991266,0.980796,0.985337,0.96259] recall 0.9858571428571429 [0.994203,0.991117,0.987124,0.977591,0.985359,0.973101,0.988355,0.990411,0.991202,0.978417] recall 0.984 [0.98987,0.996188,0.981402,0.990196,0.975073,0.97943,0.985444,0.984932,0.982405,0.972701] relative_absolute_error 0.019981404652943274 relative_absolute_error 0.018021610236072162 relative_absolute_error 0.019594476021764427 relative_absolute_error 0.021755661389703595 relative_absolute_error 0.019514782308726462 relative_absolute_error 0.019982198358307304 relative_absolute_error 0.020093373577083903 relative_absolute_error 0.020669210836053595 relative_absolute_error 0.017745341146373314 relative_absolute_error 0.01942345886035974 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 0.05365129989044823 root_mean_squared_error 0.04957586279735139 root_mean_squared_error 0.05249610295962937 root_mean_squared_error 0.05548446987711423 root_mean_squared_error 0.05205528901599538 root_mean_squared_error 0.05270065090932906 root_mean_squared_error 0.052961185554563035 root_mean_squared_error 0.05421499011073299 root_mean_squared_error 0.04909919656091672 root_mean_squared_error 0.052055163535190574 root_relative_squared_error 0.17886667593420075 root_relative_squared_error 0.16527952569354323 root_relative_squared_error 0.17501561596683118 root_relative_squared_error 0.18497846744174384 root_relative_squared_error 0.1735459959470137 root_relative_squared_error 0.175697553529326 root_relative_squared_error 0.1765661443149692 root_relative_squared_error 0.18074602027396833 root_relative_squared_error 0.16369065858441825 root_relative_squared_error 0.17354515685259614 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 2500693.8792930013 usercpu_time_millis 2485592.239614998 usercpu_time_millis 2497992.0615099985 usercpu_time_millis 2488660.056883018 usercpu_time_millis 2479687.518306004 usercpu_time_millis 2445066.2949209944 usercpu_time_millis 2422383.823678989 usercpu_time_millis 2441566.703192002 usercpu_time_millis 2449302.5297290003 usercpu_time_millis 2457422.728502017 usercpu_time_millis_testing 3765.833837998798 usercpu_time_millis_testing 3659.161311996286 usercpu_time_millis_testing 3756.854500999907 usercpu_time_millis_testing 3950.670653008274 usercpu_time_millis_testing 3409.351655005594 usercpu_time_millis_testing 3444.126532995142 usercpu_time_millis_testing 3244.240902000456 usercpu_time_millis_testing 3405.228117000661 usercpu_time_millis_testing 3440.3091830026824 usercpu_time_millis_testing 3397.045303005143 usercpu_time_millis_training 2496928.0454550027 usercpu_time_millis_training 2481933.078303002 usercpu_time_millis_training 2494235.2070089984 usercpu_time_millis_training 2484709.3862300096 usercpu_time_millis_training 2476278.1666509984 usercpu_time_millis_training 2441622.1683879993 usercpu_time_millis_training 2419139.5827769884 usercpu_time_millis_training 2438161.4750750014 usercpu_time_millis_training 2445862.220545998 usercpu_time_millis_training 2454025.6831990117 wall_clock_time_millis 2500970.687389374 wall_clock_time_millis 2485743.255376816 wall_clock_time_millis 2498564.0902519226 wall_clock_time_millis 2488820.6338882446 wall_clock_time_millis 2479882.9069137573 wall_clock_time_millis 2445519.8743343353 wall_clock_time_millis 2422599.389076233 wall_clock_time_millis 2441611.2883090973 wall_clock_time_millis 2449492.7003383636 wall_clock_time_millis 2458020.2100276947 wall_clock_time_millis_testing 3766.3068771362305 wall_clock_time_millis_testing 3659.247875213623 wall_clock_time_millis_testing 3756.937265396118 wall_clock_time_millis_testing 3951.3628482818604 wall_clock_time_millis_testing 3409.900188446045 wall_clock_time_millis_testing 3444.185972213745 wall_clock_time_millis_testing 3244.2970275878906 wall_clock_time_millis_testing 3405.287981033325 wall_clock_time_millis_testing 3440.3743743896484 wall_clock_time_millis_testing 3397.132635116577 wall_clock_time_millis_training 2497204.3805122375 wall_clock_time_millis_training 2482084.007501602 wall_clock_time_millis_training 2494807.1529865265 wall_clock_time_millis_training 2484869.271039963 wall_clock_time_millis_training 2476473.0067253113 wall_clock_time_millis_training 2442075.6883621216 wall_clock_time_millis_training 2419355.092048645 wall_clock_time_millis_training 2438206.000328064 wall_clock_time_millis_training 2446052.325963974 wall_clock_time_millis_training 2454623.077392578