10228942 8323 Heinrich Peters 28 Supervised Classification 12677 sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2) 8154044 l2_regularization 1e-06 12677 learning_rate 0.01 12677 loss "auto" 12677 max_bins 64 12677 max_depth 9 12677 max_iter 400 12677 max_leaf_nodes 64 12677 min_samples_leaf 15 12677 n_iter_no_change null 12677 random_state 42948 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 openml-python Sklearn_0.21.2. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 21379298 description https://api.openml.org/data/download/21379298/description.xml -1 21379299 predictions https://api.openml.org/data/download/21379299/predictions.arff area_under_roc_curve 0.9994663644732238 [0.99974,0.999694,0.99989,0.999509,0.999669,0.998939,0.999629,0.999631,0.999416,0.998544] average_cost 0 f_measure 0.9797421176820182 [0.990045,0.979239,0.992793,0.977113,0.9806,0.981949,0.987433,0.982425,0.973803,0.952297] kappa 0.9774609968439485 kb_relative_information_score 0.9749161147769365 mean_absolute_error 0.006421725796754153 mean_prior_absolute_error 0.17999735782507298 number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.9798385658184275 [0.99274,0.967521,0.996383,0.984043,0.982332,0.989091,0.989209,0.977273,0.974684,0.945614] predictive_accuracy 0.9797153024911032 prior_entropy 3.3218327251668773 recall 0.9797153024911032 [0.987365,0.991243,0.989228,0.97028,0.978873,0.97491,0.985663,0.987633,0.972924,0.959075] relative_absolute_error 0.03567677811690428 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.05724721911872545 root_relative_squared_error 0.19082546676150006 total_cost 0 area_under_roc_curve 0.9996794737059125 [1,0.999931,0.999824,0.999282,0.998819,1,0.999718,0.999929,0.999892,0.999435] area_under_roc_curve 0.9997042075626627 [1,0.999861,1,0.999145,0.999687,0.999965,1,0.999541,0.999821,0.999047] area_under_roc_curve 0.9997467614423243 [0.999713,0.999965,0.999894,0.999479,0.999896,1,1,1,0.999857,0.998659] area_under_roc_curve 0.99961643461615 [1,0.999201,0.999824,0.999514,1,0.999894,1,0.999931,0.999964,0.997847] area_under_roc_curve 0.9997819819711532 [0.999749,0.999792,1,1,0.999965,0.999319,0.999612,1,1,0.999375] area_under_roc_curve 0.9982605952948763 [0.997777,0.999965,0.999894,0.999722,0.999131,0.993294,0.997388,0.998854,0.998135,0.998263] area_under_roc_curve 0.9998063755006167 [1,1,1,0.999965,1,1,1,0.998958,0.999894,0.999259] area_under_roc_curve 0.9995037945694616 [1,1,1,0.998541,0.999757,0.998765,1,0.999826,0.999859,0.998306] area_under_roc_curve 0.9989375705080187 [1,0.9987,0.999319,0.999792,0.999929,0.9988,1,0.999329,0.997494,0.996012] area_under_roc_curve 0.9997678608956362 [0.999929,0.999861,0.999965,0.999896,1,0.999929,0.999788,1,0.999047,0.999259] 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 0.9785992895035872 [1,0.982456,0.982143,0.973913,0.955752,1,0.973451,0.982456,0.972973,0.963636] f_measure 0.9822801649150821 [1,0.99115,1,0.964286,0.99115,0.99115,1,0.972973,0.956522,0.955752] f_measure 0.983966347220841 [0.981481,0.991304,0.990991,0.973913,0.982456,1,1,0.982759,0.981818,0.954955] f_measure 0.9804717203282726 [0.990991,0.964912,0.990991,0.973451,0.991304,0.990991,0.99115,0.982456,0.981481,0.947368] f_measure 0.9857268058692374 [0.990826,0.974359,1,1,0.982759,0.981818,0.972477,0.991304,1,0.964286] f_measure 0.9644766052861212 [0.972477,0.974359,0.981818,0.973451,0.956522,0.924528,0.973451,0.99115,0.962963,0.933333] f_measure 0.9875593865596215 [0.990991,0.991304,1,0.99115,1,0.982456,0.990826,0.982456,0.982143,0.964286] f_measure 0.9803927456894138 [0.99115,0.991304,1,0.964286,0.964286,0.981818,0.990991,0.982456,0.99115,0.947368] f_measure 0.9734289568881871 [1,0.974359,0.990826,0.973913,0.981818,0.972477,1,0.964912,0.946429,0.929825] f_measure 0.980457528785709 [0.982143,0.957983,0.99115,0.982456,1,0.990991,0.981818,0.99115,0.962963,0.964286] kappa 0.9762749071259709 kappa 0.9802298543270939 kappa 0.9822056795474374 kappa 0.9782517686708672 kappa 0.9841827706185114 kappa 0.960455535345504 kappa 0.9861602164269154 kappa 0.9782521512147415 kappa 0.9703430079155673 kappa 0.9782517686708672 kb_relative_information_score 0.9752590352763871 kb_relative_information_score 0.9765045435881331 kb_relative_information_score 0.9781191808560736 kb_relative_information_score 0.9746804952373899 kb_relative_information_score 0.9785065292109663 kb_relative_information_score 0.9601585220325246 kb_relative_information_score 0.9812768643315714 kb_relative_information_score 0.97869705045302 kb_relative_information_score 0.9691509465155598 kb_relative_information_score 0.9768078641126868 mean_absolute_error 0.006068565371671861 mean_absolute_error 0.006281393579399445 mean_absolute_error 0.0060474357806633355 mean_absolute_error 0.0065054536114064875 mean_absolute_error 0.005432506508086995 mean_absolute_error 0.00961449037110559 mean_absolute_error 0.005224040422670267 mean_absolute_error 0.005466635565473941 mean_absolute_error 0.007735076770957883 mean_absolute_error 0.005841659986105819 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.1799979140724263 mean_prior_absolute_error 0.17999879901139712 number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,58,55,57,56,56,56,56,56,56] number_of_instances 562 [56,57,56,57,56,56,56,56,56,56] precision 0.9787357159072125 [1,0.982456,0.982143,0.982456,0.964286,1,0.964912,0.965517,0.964286,0.981481] precision 0.9830403207955184 [1,1,1,1,1,0.982456,1,0.981818,0.916667,0.947368] precision 0.9841337315155461 [1,0.982759,1,0.965517,0.982456,1,1,0.966102,0.981818,0.963636] precision 0.9807343705933136 [0.982143,0.964912,1,0.982143,0.982759,1,0.982456,0.982456,1,0.931034] precision 0.9861186376389968 [1,0.95,1,1,0.966102,0.981818,1,0.982759,1,0.981818] precision 0.9656094381999388 [0.981481,0.95,1,0.982143,0.948276,0.960784,0.964912,1,0.981132,0.888889] precision 0.9876978770401277 [1,0.982759,1,1,1,0.965517,1,0.982456,0.982143,0.964286] precision 0.9806679537423866 [0.982456,0.982759,1,0.981818,0.981818,1,0.982143,0.982456,0.982456,0.931034] precision 0.9739221408054644 [1,0.966102,1,0.965517,1,1,1,0.948276,0.946429,0.913793] precision 0.98120696356895 [0.982143,0.919355,0.982456,0.982456,1,1,1,0.982456,1,0.964286] predictive_accuracy 0.9786476868327402 predictive_accuracy 0.9822064056939501 predictive_accuracy 0.9839857651245552 predictive_accuracy 0.9804270462633453 predictive_accuracy 0.9857651245551601 predictive_accuracy 0.9644128113879004 predictive_accuracy 0.9875444839857651 predictive_accuracy 0.9804270462633453 predictive_accuracy 0.9733096085409252 predictive_accuracy 0.9804270462633453 prior_entropy 3.3217909017967746 prior_entropy 3.3217909017967746 prior_entropy 3.321817923867619 prior_entropy 3.321817923867619 prior_entropy 3.3217996202390836 prior_entropy 3.3217996202390836 prior_entropy 3.3218501976437715 prior_entropy 3.3218501976437715 prior_entropy 3.321873176216062 prior_entropy 3.3219367883600994 recall 0.9786476868327402 [1,0.982456,0.982143,0.965517,0.947368,1,0.982143,1,0.981818,0.946429] recall 0.9822064056939501 [1,0.982456,1,0.931034,0.982456,1,1,0.964286,1,0.964286] recall 0.9839857651245552 [0.963636,1,0.982143,0.982456,0.982456,1,1,1,0.981818,0.946429] recall 0.9804270462633452 [1,0.964912,0.982143,0.964912,1,0.982143,1,0.982456,0.963636,0.964286] recall 0.9857651245551602 [0.981818,1,1,1,1,0.981818,0.946429,1,1,0.947368] recall 0.9644128113879004 [0.963636,1,0.964286,0.964912,0.964912,0.890909,0.982143,0.982456,0.945455,0.982456] recall 0.9875444839857651 [0.982143,1,1,0.982456,1,1,0.981818,0.982456,0.982143,0.964286] recall 0.9804270462633452 [1,1,1,0.947368,0.947368,0.964286,1,0.982456,1,0.964286] recall 0.9733096085409253 [1,0.982759,0.981818,0.982456,0.964286,0.946429,1,0.982143,0.946429,0.946429] recall 0.9804270462633452 [0.982143,1,1,0.982456,1,0.982143,0.964286,1,0.928571,0.964286] relative_absolute_error 0.03371485588035276 relative_absolute_error 0.03489725598834277 relative_absolute_error 0.03359739637036825 relative_absolute_error 0.03614198008523426 relative_absolute_error 0.03018111104239827 relative_absolute_error 0.053414754510545344 relative_absolute_error 0.029022834082534397 relative_absolute_error 0.030370602860943053 relative_absolute_error 0.042973146721275314 relative_absolute_error 0.03245388312694208 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999987213529011 root_mean_prior_squared_error 0.3000001962538465 root_mean_squared_error 0.0589483981746549 root_mean_squared_error 0.053540033155171446 root_mean_squared_error 0.051423896222589194 root_mean_squared_error 0.05649907654439892 root_mean_squared_error 0.05118668061877733 root_mean_squared_error 0.07476734542325456 root_mean_squared_error 0.04589537758413983 root_mean_squared_error 0.0539550221638075 root_mean_squared_error 0.06517292293446691 root_mean_squared_error 0.05584941556595826 root_relative_squared_error 0.19649674014580815 root_relative_squared_error 0.1784686659528771 root_relative_squared_error 0.1714144403480991 root_relative_squared_error 0.18833185148246875 root_relative_squared_error 0.17062395464013064 root_relative_squared_error 0.24922694731997425 root_relative_squared_error 0.15298551261353657 root_relative_squared_error 0.1798511562231332 root_relative_squared_error 0.21724400237626768 root_relative_squared_error 0.18616459676813352 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 72747.4314079991 usercpu_time_millis 72890.79356699949 usercpu_time_millis 74044.9132570011 usercpu_time_millis 72815.26267200024 usercpu_time_millis 72492.57215299986 usercpu_time_millis 71159.34340699823 usercpu_time_millis 72432.06413400185 usercpu_time_millis 72729.72282900082 usercpu_time_millis 72470.68862599917 usercpu_time_millis 72058.4666779996 usercpu_time_millis_testing 282.23419899950386 usercpu_time_millis_testing 277.83451799950853 usercpu_time_millis_testing 282.7386960016156 usercpu_time_millis_testing 282.47112999997626 usercpu_time_millis_testing 271.4556930004619 usercpu_time_millis_testing 273.04374399864173 usercpu_time_millis_testing 280.0568580005347 usercpu_time_millis_testing 278.8859340016643 usercpu_time_millis_testing 281.4558419995592 usercpu_time_millis_testing 282.2806749991287 usercpu_time_millis_training 72465.1972089996 usercpu_time_millis_training 72612.95904899998 usercpu_time_millis_training 73762.17456099948 usercpu_time_millis_training 72532.79154200027 usercpu_time_millis_training 72221.1164599994 usercpu_time_millis_training 70886.29966299959 usercpu_time_millis_training 72152.00727600131 usercpu_time_millis_training 72450.83689499916 usercpu_time_millis_training 72189.23278399961 usercpu_time_millis_training 71776.18600300048 wall_clock_time_millis 75984.43722724915 wall_clock_time_millis 76220.27969360352 wall_clock_time_millis 81420.61877250671 wall_clock_time_millis 75637.14075088501 wall_clock_time_millis 75136.07978820801 wall_clock_time_millis 71329.00929450989 wall_clock_time_millis 72482.82480239868 wall_clock_time_millis 73172.50990867615 wall_clock_time_millis 72493.62516403198 wall_clock_time_millis 72215.09766578674 wall_clock_time_millis_testing 282.2880744934082 wall_clock_time_millis_testing 277.94432640075684 wall_clock_time_millis_testing 282.7465534210205 wall_clock_time_millis_testing 282.47880935668945 wall_clock_time_millis_testing 271.46387100219727 wall_clock_time_millis_testing 273.24461936950684 wall_clock_time_millis_testing 280.1039218902588 wall_clock_time_millis_testing 278.89466285705566 wall_clock_time_millis_testing 281.4631462097168 wall_clock_time_millis_testing 282.75203704833984 wall_clock_time_millis_training 75702.14915275574 wall_clock_time_millis_training 75942.33536720276 wall_clock_time_millis_training 81137.8722190857 wall_clock_time_millis_training 75354.66194152832 wall_clock_time_millis_training 74864.61591720581 wall_clock_time_millis_training 71055.76467514038 wall_clock_time_millis_training 72202.72088050842 wall_clock_time_millis_training 72893.61524581909 wall_clock_time_millis_training 72212.16201782227 wall_clock_time_millis_training 71932.3456287384