10285517 8323 Heinrich Peters 9985 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8157985 l2_regularization 1e-05 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 16 12677 max_depth null 12677 max_iter 400 12677 max_leaf_nodes 128 12677 min_samples_leaf 48 12677 n_iter_no_change null 12677 random_state 2136 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. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21492545 description https://api.openml.org/data/download/21492545/description.xml -1 21492546 predictions https://api.openml.org/data/download/21492546/predictions.arff area_under_roc_curve 0.8600809096482822 [0.805512,0.819056,0.85706,0.798246,0.837259,0.912554] average_cost 0 f_measure 0.6064612666592247 [0.50205,0.409556,0.503374,0.396243,0.439316,0.810264] kappa 0.4781260039708129 kb_relative_information_score 0.4934555395066156 mean_absolute_error 0.13454161275823115 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.601655596972031 [0.498192,0.458015,0.508174,0.418773,0.470696,0.776661] predictive_accuracy 0.6139261196469434 prior_entropy 2.3000072984859514 recall 0.6139261196469434 [0.505969,0.37037,0.498663,0.376013,0.411859,0.846907] relative_absolute_error 0.5365255976708496 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3282651186808896 root_relative_squared_error 0.9271063662892967 total_cost 0 area_under_roc_curve 0.8548486997129918 [0.795347,0.796321,0.860118,0.777463,0.840258,0.911967] area_under_roc_curve 0.8747334417427441 [0.848177,0.804909,0.871819,0.844501,0.839651,0.916104] area_under_roc_curve 0.8656031461688943 [0.789728,0.814985,0.869882,0.797141,0.851635,0.926303] area_under_roc_curve 0.851726530400131 [0.790304,0.818574,0.86504,0.801129,0.809413,0.903026] area_under_roc_curve 0.850668912202604 [0.780026,0.821365,0.834004,0.784472,0.839897,0.910111] area_under_roc_curve 0.8721635450710251 [0.835017,0.792819,0.877803,0.829238,0.832111,0.921805] area_under_roc_curve 0.8394234890436141 [0.805251,0.803331,0.833395,0.809164,0.807581,0.877838] area_under_roc_curve 0.8653615079970771 [0.802734,0.834451,0.863327,0.775654,0.851833,0.923192] area_under_roc_curve 0.8618358690540744 [0.789027,0.846155,0.846592,0.796528,0.859055,0.916478] area_under_roc_curve 0.8636584421975269 [0.818816,0.860328,0.848432,0.770253,0.838055,0.916335] 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 0.5854302263208124 [0.473214,0.37037,0.448718,0.336134,0.428571,0.81203] f_measure 0.6442361223074575 [0.586667,0.404762,0.551724,0.521739,0.428571,0.824197] f_measure 0.6041618672030548 [0.437209,0.351648,0.543046,0.407767,0.464,0.823748] f_measure 0.6051173004389783 [0.514019,0.391304,0.518987,0.389831,0.418182,0.808271] f_measure 0.5818062092665641 [0.438356,0.380952,0.469799,0.424779,0.403226,0.796262] f_measure 0.6377129595409926 [0.568807,0.452381,0.541667,0.425197,0.477876,0.821561] f_measure 0.5743724265260118 [0.491525,0.456522,0.460432,0.4,0.358491,0.760829] f_measure 0.6104786198333569 [0.495238,0.416667,0.503597,0.322581,0.47541,0.829268] f_measure 0.5985664934954789 [0.470046,0.436782,0.454545,0.386555,0.454545,0.811215] f_measure 0.6226563803290063 [0.543779,0.431818,0.544218,0.353982,0.47541,0.814953] kappa 0.45002165439584235 kappa 0.5285478244905453 kappa 0.47738111607239786 kappa 0.47766525979170577 kappa 0.4452097095162939 kappa 0.5195502431118315 kappa 0.43458082211555815 kappa 0.4825818381979947 kappa 0.46612209677536315 kappa 0.49953246301383764 kb_relative_information_score 0.4666664544844341 kb_relative_information_score 0.5401107274446264 kb_relative_information_score 0.49584621878469515 kb_relative_information_score 0.4855821096422231 kb_relative_information_score 0.47384969330415977 kb_relative_information_score 0.5195087522889352 kb_relative_information_score 0.4513994532524853 kb_relative_information_score 0.5040525549833845 kb_relative_information_score 0.48816314184975473 kb_relative_information_score 0.5094018968270475 mean_absolute_error 0.14033348288682437 mean_absolute_error 0.12394733217749548 mean_absolute_error 0.1321567208293187 mean_absolute_error 0.13663582000258565 mean_absolute_error 0.14004163644227383 mean_absolute_error 0.12638177805666684 mean_absolute_error 0.146139884433984 mean_absolute_error 0.1324662748004579 mean_absolute_error 0.13667964136532174 mean_absolute_error 0.13063065965192763 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5826759561920712 [0.46087,0.454545,0.426829,0.350877,0.489796,0.782609] precision 0.6413702650401855 [0.568966,0.472222,0.571429,0.566038,0.428571,0.79562] precision 0.5998713574033614 [0.439252,0.380952,0.539474,0.512195,0.467742,0.78169] precision 0.600901741089134 [0.52381,0.418605,0.493976,0.410714,0.479167,0.776173] precision 0.5777699718659927 [0.436364,0.457143,0.472973,0.470588,0.403226,0.760714] precision 0.635135548254594 [0.568807,0.542857,0.565217,0.415385,0.529412,0.780919] precision 0.5723334878861499 [0.456693,0.488372,0.5,0.413793,0.431818,0.731884] precision 0.6071286505021933 [0.514851,0.425532,0.546875,0.31746,0.483333,0.797834] precision 0.595216233483298 [0.472222,0.487179,0.443038,0.396552,0.520833,0.777778] precision 0.617595017174067 [0.546296,0.475,0.547945,0.384615,0.491525,0.781362] predictive_accuracy 0.5931372549019608 predictive_accuracy 0.6503267973856209 predictive_accuracy 0.6143790849673203 predictive_accuracy 0.6127450980392157 predictive_accuracy 0.5898692810457516 predictive_accuracy 0.6454248366013071 predictive_accuracy 0.5816993464052288 predictive_accuracy 0.6160130718954249 predictive_accuracy 0.6055646481178396 predictive_accuracy 0.630114566284779 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 recall 0.5931372549019608 [0.486239,0.3125,0.472973,0.322581,0.380952,0.84375] recall 0.6503267973856209 [0.605505,0.354167,0.533333,0.483871,0.428571,0.854902] recall 0.6143790849673203 [0.435185,0.326531,0.546667,0.33871,0.460317,0.870588] recall 0.6127450980392157 [0.504587,0.367347,0.546667,0.370968,0.370968,0.843137] recall 0.5898692810457516 [0.440367,0.326531,0.466667,0.387097,0.403226,0.835294] recall 0.6454248366013072 [0.568807,0.387755,0.52,0.435484,0.435484,0.866667] recall 0.5816993464052288 [0.53211,0.428571,0.426667,0.387097,0.306452,0.792157] recall 0.6160130718954249 [0.477064,0.408163,0.466667,0.327869,0.467742,0.863281] recall 0.6055646481178396 [0.46789,0.395833,0.466667,0.377049,0.403226,0.847656] recall 0.630114566284779 [0.541284,0.395833,0.540541,0.327869,0.460317,0.851562] relative_absolute_error 0.5598225050263195 relative_absolute_error 0.4941377588145955 relative_absolute_error 0.5267533020668705 relative_absolute_error 0.5446959865161738 relative_absolute_error 0.5582732062047873 relative_absolute_error 0.5038184516691272 relative_absolute_error 0.5825837508760308 relative_absolute_error 0.5284370920499962 relative_absolute_error 0.5454450996866261 relative_absolute_error 0.5212825524450984 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.33792887943761807 root_mean_squared_error 0.30968062118028006 root_mean_squared_error 0.3257994138686803 root_mean_squared_error 0.3334778501636809 root_mean_squared_error 0.33530466739424575 root_mean_squared_error 0.3193646204777957 root_mean_squared_error 0.34384037749117546 root_mean_squared_error 0.32447904870664057 root_mean_squared_error 0.3283858510971893 root_mean_squared_error 0.32303341586679085 root_relative_squared_error 0.954740641451429 root_relative_squared_error 0.874371311659826 root_relative_squared_error 0.9196855237115319 root_relative_squared_error 0.9415158117450858 root_relative_squared_error 0.9466735075467738 root_relative_squared_error 0.9016696003774372 root_relative_squared_error 0.97077257744538 root_relative_squared_error 0.916738947743262 root_relative_squared_error 0.9281171658796694 root_relative_squared_error 0.9129492963626349 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 48943.95180098945 usercpu_time_millis 48475.778006002656 usercpu_time_millis 37658.12545000517 usercpu_time_millis 45080.6236659846 usercpu_time_millis 37732.87805300788 usercpu_time_millis 42399.47425201535 usercpu_time_millis 38720.56164499372 usercpu_time_millis 46384.05047399283 usercpu_time_millis 55288.90554199461 usercpu_time_millis 51446.33872398117 usercpu_time_millis_testing 199.30270098848268 usercpu_time_millis_testing 250.41746399074327 usercpu_time_millis_testing 200.1656320062466 usercpu_time_millis_testing 279.98524099530187 usercpu_time_millis_testing 223.63811600371264 usercpu_time_millis_testing 267.2450250101974 usercpu_time_millis_testing 224.76610299781896 usercpu_time_millis_testing 256.49738099309616 usercpu_time_millis_testing 270.32368299842346 usercpu_time_millis_testing 197.35311598924454 usercpu_time_millis_training 48744.64910000097 usercpu_time_millis_training 48225.36054201191 usercpu_time_millis_training 37457.959817998926 usercpu_time_millis_training 44800.6384249893 usercpu_time_millis_training 37509.23993700417 usercpu_time_millis_training 42132.229227005155 usercpu_time_millis_training 38495.7955419959 usercpu_time_millis_training 46127.55309299973 usercpu_time_millis_training 55018.581858996185 usercpu_time_millis_training 51248.98560799193 wall_clock_time_millis 48944.77939605713 wall_clock_time_millis 48476.58395767212 wall_clock_time_millis 37658.86425971985 wall_clock_time_millis 45081.475496292114 wall_clock_time_millis 37733.508825302124 wall_clock_time_millis 42400.22420883179 wall_clock_time_millis 38738.239765167236 wall_clock_time_millis 46384.82761383057 wall_clock_time_millis 55290.19498825073 wall_clock_time_millis 51456.98404312134 wall_clock_time_millis_testing 199.31411743164062 wall_clock_time_millis_testing 250.43177604675293 wall_clock_time_millis_testing 200.17409324645996 wall_clock_time_millis_testing 279.996395111084 wall_clock_time_millis_testing 223.65403175354004 wall_clock_time_millis_testing 267.2553062438965 wall_clock_time_millis_testing 224.7776985168457 wall_clock_time_millis_testing 256.50835037231445 wall_clock_time_millis_testing 270.33543586730957 wall_clock_time_millis_testing 197.36623764038086 wall_clock_time_millis_training 48745.46527862549 wall_clock_time_millis_training 48226.152181625366 wall_clock_time_millis_training 37458.69016647339 wall_clock_time_millis_training 44801.47910118103 wall_clock_time_millis_training 37509.854793548584 wall_clock_time_millis_training 42132.96890258789 wall_clock_time_millis_training 38513.46206665039 wall_clock_time_millis_training 46128.31926345825 wall_clock_time_millis_training 55019.85955238342 wall_clock_time_millis_training 51259.61780548096