10315682 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) 8154530 l2_regularization 0.01 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 16 12677 max_depth 8 12677 max_iter 500 12677 max_leaf_nodes 8 12677 min_samples_leaf 5 12677 n_iter_no_change null 12677 random_state 1728 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 21553025 description https://api.openml.org/data/download/21553025/description.xml -1 21553026 predictions https://api.openml.org/data/download/21553026/predictions.arff area_under_roc_curve 0.9995742726375503 [0.999915,0.999817,0.999557,0.99929,0.999506,0.999585,0.999832,0.999468,0.999522,0.999236] average_cost 0 f_measure 0.9791546110511641 [0.98871,0.988832,0.976382,0.974601,0.979048,0.975234,0.98481,0.978064,0.973546,0.970895] kappa 0.9768336959254608 kb_relative_information_score 0.9774046451511318 mean_absolute_error 0.005869308587487382 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9791602612066028 [0.987852,0.988456,0.97395,0.979355,0.978904,0.977407,0.984309,0.97793,0.971133,0.970964] predictive_accuracy 0.9791571428571428 prior_entropy 3.319837025446073 recall 0.9791571428571428 [0.98957,0.989209,0.978827,0.969892,0.979191,0.973071,0.985311,0.978198,0.975971,0.970825] relative_absolute_error 0.03261788274678753 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.05662958173438788 root_relative_squared_error 0.18879599342488856 total_cost 0 area_under_roc_curve 0.9996292683075515 [0.999975,0.999832,0.999401,0.999003,0.999855,0.999699,0.999857,0.9996,0.999472,0.999603] area_under_roc_curve 0.9995179474461862 [0.999872,0.999883,0.99969,0.999143,0.998781,0.99912,0.999744,0.999807,0.999542,0.999498] area_under_roc_curve 0.9996168443113355 [0.999904,0.999923,0.999679,0.999688,0.999767,0.999609,0.999743,0.999604,0.99912,0.999087] area_under_roc_curve 0.9994268719521127 [0.999925,0.99977,0.999218,0.999435,0.999112,0.999325,0.999765,0.999631,0.999584,0.998444] area_under_roc_curve 0.9995727989401836 [0.999938,0.999217,0.999643,0.999129,0.9998,0.999786,0.99988,0.999611,0.999443,0.999366] area_under_roc_curve 0.9995770252348078 [0.999898,0.999917,0.999421,0.999414,0.999142,0.99976,0.999795,0.999555,0.999431,0.999409] area_under_roc_curve 0.9995009121064693 [0.999949,0.99995,0.99957,0.998812,0.999433,0.99973,0.999889,0.998638,0.999595,0.999471] area_under_roc_curve 0.9995922651453681 [0.999905,0.999978,0.999825,0.999311,0.999733,0.999537,0.999913,0.999156,0.999651,0.998895] area_under_roc_curve 0.999721603648598 [0.99994,0.999963,0.999778,0.999519,0.99972,0.999602,0.999898,0.999655,0.999808,0.999304] area_under_roc_curve 0.999627392723443 [0.999859,0.999823,0.999371,0.999527,0.999752,0.9997,0.999878,0.99948,0.999599,0.999284] 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 0.9801392878245279 [0.992775,0.986616,0.977841,0.974719,0.98606,0.973747,0.986202,0.978261,0.969253,0.974802] f_measure 0.9809998832051936 [0.988456,0.988608,0.97851,0.977433,0.984547,0.97619,0.98538,0.980874,0.971554,0.97711] f_measure 0.9795631360966958 [0.984058,0.986784,0.976412,0.977003,0.979381,0.981644,0.984772,0.982841,0.97349,0.968391] f_measure 0.9789953127788936 [0.988456,0.989193,0.975124,0.969611,0.979472,0.97293,0.986162,0.979452,0.971636,0.976276] f_measure 0.9785664837575493 [0.991317,0.987937,0.974395,0.968332,0.980335,0.978554,0.986142,0.97264,0.979472,0.966114] f_measure 0.9784356602366489 [0.988406,0.987875,0.969395,0.974648,0.974434,0.979332,0.983394,0.978022,0.972141,0.975645] f_measure 0.9770091675835494 [0.990532,0.988564,0.977208,0.970213,0.971512,0.974643,0.981187,0.975138,0.970888,0.968661] f_measure 0.9801367713992437 [0.98917,0.993647,0.98,0.972555,0.98538,0.968454,0.984012,0.978635,0.978817,0.9683] f_measure 0.9814254263283717 [0.989123,0.989861,0.978693,0.980973,0.978006,0.976966,0.985444,0.980848,0.978229,0.974619] f_measure 0.9762771162868077 [0.984816,0.989247,0.976276,0.98042,0.971387,0.969984,0.985444,0.973901,0.969963,0.959022] kappa 0.977929255119392 kappa 0.9788817254360724 kappa 0.9772931136682911 kappa 0.97665911925262 kappa 0.9761826575132158 kappa 0.9760243804604644 kappa 0.9744366705258145 kappa 0.9779298198211358 kappa 0.9793582179618391 kappa 0.9736420752143119 kb_relative_information_score 0.9773076232978581 kb_relative_information_score 0.978385561824663 kb_relative_information_score 0.9773435643641807 kb_relative_information_score 0.977122946683635 kb_relative_information_score 0.9772945048563711 kb_relative_information_score 0.9767206001277975 kb_relative_information_score 0.9758896622429376 kb_relative_information_score 0.9783890508560976 kb_relative_information_score 0.9791811849105863 kb_relative_information_score 0.9764117461909371 mean_absolute_error 0.005777867360268154 mean_absolute_error 0.00577959000891748 mean_absolute_error 0.005883723085005352 mean_absolute_error 0.0058822311424564285 mean_absolute_error 0.005847593107720262 mean_absolute_error 0.005944842828213958 mean_absolute_error 0.006219766369023976 mean_absolute_error 0.005660962023469279 mean_absolute_error 0.005584496310648315 mean_absolute_error 0.006112013639150048 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 0.9801583145200872 [0.991342,0.98977,0.977143,0.977465,0.986784,0.977636,0.984058,0.97035,0.969253,0.976912] precision 0.9810341130145391 [0.985612,0.984868,0.979914,0.984375,0.988183,0.977742,0.991176,0.976871,0.968023,0.972934] precision 0.9795950193208766 [0.984058,0.978777,0.975714,0.972261,0.983728,0.988746,0.982634,0.983516,0.979259,0.968391] precision 0.9790332884675348 [0.984195,0.991083,0.968927,0.978602,0.979472,0.9776,0.988321,0.978112,0.965318,0.976978] precision 0.978589344423883 [0.989884,0.988564,0.968883,0.973126,0.973951,0.980892,0.989751,0.969986,0.98091,0.969609] precision 0.9784740413382611 [0.988406,0.993582,0.964589,0.98017,0.972303,0.982456,0.977044,0.979367,0.972141,0.972857] precision 0.9770979229852527 [0.995608,0.989822,0.97305,0.982759,0.969388,0.974643,0.976945,0.981919,0.963873,0.960452] precision 0.9801522048085063 [0.985612,0.994911,0.978602,0.978754,0.983942,0.965409,0.982583,0.98338,0.975255,0.969697] precision 0.9814762198698308 [0.98984,0.988608,0.971791,0.987234,0.979442,0.980861,0.985444,0.979508,0.968391,0.982456] precision 0.9762805817593848 [0.984104,0.984887,0.981214,0.97905,0.9721,0.968454,0.985444,0.976584,0.969253,0.959712] predictive_accuracy 0.9801428571428572 predictive_accuracy 0.981 predictive_accuracy 0.9795714285714285 predictive_accuracy 0.9790000000000001 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9784285714285714 predictive_accuracy 0.977 predictive_accuracy 0.9801428571428572 predictive_accuracy 0.9814285714285714 predictive_accuracy 0.9762857142857143 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 0.9801428571428571 [0.994211,0.983482,0.978541,0.971989,0.985337,0.969889,0.988355,0.986301,0.969253,0.972701] recall 0.981 [0.991317,0.992376,0.97711,0.970588,0.980938,0.974643,0.979651,0.984911,0.97511,0.981322] recall 0.9795714285714285 [0.984058,0.994924,0.97711,0.981793,0.975073,0.974643,0.986919,0.982167,0.967789,0.968391] recall 0.979 [0.992754,0.98731,0.981402,0.960784,0.979472,0.968304,0.984012,0.980796,0.978038,0.975575] recall 0.9785714285714285 [0.992754,0.98731,0.979971,0.963585,0.986804,0.976228,0.982558,0.975309,0.978038,0.962644] recall 0.9784285714285714 [0.988406,0.982234,0.974249,0.969188,0.976574,0.976228,0.989826,0.97668,0.972141,0.978448] recall 0.977 [0.985507,0.98731,0.981402,0.957983,0.973646,0.974643,0.985465,0.96845,0.978006,0.977011] recall 0.9801428571428571 [0.992754,0.992386,0.981402,0.966434,0.986823,0.971519,0.985444,0.973937,0.982405,0.966906] recall 0.9814285714285714 [0.988406,0.991117,0.985694,0.97479,0.976574,0.973101,0.985444,0.982192,0.98827,0.966906] recall 0.9762857142857143 [0.985528,0.993647,0.971388,0.981793,0.970674,0.971519,0.985444,0.971233,0.970674,0.958333] relative_absolute_error 0.032109693413928816 relative_absolute_error 0.032119236417176546 relative_absolute_error 0.0326980131724476 relative_absolute_error 0.03268972189897799 relative_absolute_error 0.03249722560034061 relative_absolute_error 0.033037677989910315 relative_absolute_error 0.03456552921753582 relative_absolute_error 0.03146002083892112 relative_absolute_error 0.031035083815311636 relative_absolute_error 0.033966625393951344 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 0.05639284896908779 root_mean_squared_error 0.054921765183225946 root_mean_squared_error 0.05660527475812257 root_mean_squared_error 0.057453958097926604 root_mean_squared_error 0.05691958028698172 root_mean_squared_error 0.057790875076827536 root_mean_squared_error 0.05899517922866181 root_mean_squared_error 0.05537690858460104 root_mean_squared_error 0.053697747487837816 root_mean_squared_error 0.05794240254594605 root_relative_squared_error 0.18800665523774104 root_relative_squared_error 0.1831020740242307 root_relative_squared_error 0.18871509445916562 root_relative_squared_error 0.19154450138849172 root_relative_squared_error 0.18976295082628242 root_relative_squared_error 0.19266774114017804 root_relative_squared_error 0.19668274455155024 root_relative_squared_error 0.1846197116572095 root_relative_squared_error 0.17902165954749483 root_relative_squared_error 0.1931724473683504 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 1488346.0186680004 usercpu_time_millis 1502220.1269199995 usercpu_time_millis 1519658.5334709978 usercpu_time_millis 1524244.2382810004 usercpu_time_millis 1525587.2503899992 usercpu_time_millis 1529837.9978410013 usercpu_time_millis 1649201.5957750008 usercpu_time_millis 1501284.0457300008 usercpu_time_millis 1486755.0594720014 usercpu_time_millis 1490065.0507339998 usercpu_time_millis_testing 2310.752835999665 usercpu_time_millis_testing 2301.6472999988764 usercpu_time_millis_testing 2306.3592619982956 usercpu_time_millis_testing 2367.129001999274 usercpu_time_millis_testing 2364.368814000045 usercpu_time_millis_testing 2369.5990380001604 usercpu_time_millis_testing 2317.183532002673 usercpu_time_millis_testing 2318.3881290024146 usercpu_time_millis_testing 2357.387980999192 usercpu_time_millis_testing 2298.883637999097 usercpu_time_millis_training 1486035.2658320006 usercpu_time_millis_training 1499918.4796200006 usercpu_time_millis_training 1517352.1742089996 usercpu_time_millis_training 1521877.1092790011 usercpu_time_millis_training 1523222.881575999 usercpu_time_millis_training 1527468.398803001 usercpu_time_millis_training 1646884.4122429981 usercpu_time_millis_training 1498965.6576009984 usercpu_time_millis_training 1484397.6714910022 usercpu_time_millis_training 1487766.1670960006 wall_clock_time_millis 1488486.1228466034 wall_clock_time_millis 1502359.7848415375 wall_clock_time_millis 1519744.4472312927 wall_clock_time_millis 1524387.4461650848 wall_clock_time_millis 1525746.2768554688 wall_clock_time_millis 1529954.2355537415 wall_clock_time_millis 5590913.994550705 wall_clock_time_millis 1501416.447877884 wall_clock_time_millis 1486884.5014572144 wall_clock_time_millis 1490167.2325134277 wall_clock_time_millis_testing 2310.809850692749 wall_clock_time_millis_testing 2301.7427921295166 wall_clock_time_millis_testing 2306.4606189727783 wall_clock_time_millis_testing 2367.217540740967 wall_clock_time_millis_testing 2364.6697998046875 wall_clock_time_millis_testing 2369.709253311157 wall_clock_time_millis_testing 2953.392267227173 wall_clock_time_millis_testing 2318.462371826172 wall_clock_time_millis_testing 2357.8639030456543 wall_clock_time_millis_testing 2298.9604473114014 wall_clock_time_millis_training 1486175.3129959106 wall_clock_time_millis_training 1500058.042049408 wall_clock_time_millis_training 1517437.98661232 wall_clock_time_millis_training 1522020.2286243439 wall_clock_time_millis_training 1523381.607055664 wall_clock_time_millis_training 1527584.5263004303 wall_clock_time_millis_training 5587960.602283478 wall_clock_time_millis_training 1499097.9855060577 wall_clock_time_millis_training 1484526.6375541687 wall_clock_time_millis_training 1487868.2720661163