10280867 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) 8155247 l2_regularization 1.0 12677 learning_rate 1.0 12677 loss "auto" 12677 max_bins 16 12677 max_depth 2 12677 max_iter 150 12677 max_leaf_nodes 32 12677 min_samples_leaf 8 12677 n_iter_no_change null 12677 random_state 61716 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 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 21483244 description https://api.openml.org/data/download/21483244/description.xml -1 21483245 predictions https://api.openml.org/data/download/21483245/predictions.arff area_under_roc_curve 0.7751599922545849 [0.713949,0.740062,0.779777,0.681631,0.73908,0.837996] average_cost 0 f_measure 0.5260120355016937 [0.403687,0.299652,0.4,0.307404,0.37013,0.749047] kappa 0.37070876521046336 kb_relative_information_score 0.35528479934649987 mean_absolute_error 0.18081115944436518 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5185591827958389 [0.40518,0.344,0.431221,0.364444,0.375,0.698005] predictive_accuracy 0.5397188623733247 prior_entropy 2.3000072984859514 recall 0.5397188623733247 [0.402204,0.265432,0.372995,0.265802,0.365385,0.808144] relative_absolute_error 0.7210394865770802 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.33285356348817735 root_relative_squared_error 0.9400653319244451 total_cost 0 area_under_roc_curve 0.7941447760708442 [0.747807,0.667553,0.761278,0.674296,0.818472,0.87015] area_under_roc_curve 0.8045603029242079 [0.747734,0.798297,0.856052,0.700484,0.720936,0.86085] area_under_roc_curve 0.7595700769022301 [0.669101,0.721572,0.765673,0.683094,0.663269,0.845779] area_under_roc_curve 0.7830635569626418 [0.730452,0.712763,0.783104,0.700176,0.72868,0.852425] area_under_roc_curve 0.8001562388476501 [0.709313,0.829702,0.783042,0.724663,0.825528,0.85053] area_under_roc_curve 0.8050839839477971 [0.739098,0.747109,0.798001,0.755997,0.77937,0.8647] area_under_roc_curve 0.8225585193838557 [0.775193,0.792674,0.818473,0.780455,0.781393,0.869995] area_under_roc_curve 0.7142132770717968 [0.672196,0.672509,0.728864,0.637068,0.743416,0.747103] area_under_roc_curve 0.7271348235471626 [0.675354,0.736197,0.76245,0.581326,0.617002,0.798553] area_under_roc_curve 0.7679814035804654 [0.691326,0.757512,0.774523,0.6093,0.734475,0.846748] 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 0.5221146643978315 [0.405286,0.205128,0.292308,0.252427,0.439394,0.783394] f_measure 0.5560226950758164 [0.460177,0.345679,0.486111,0.347826,0.368,0.754221] f_measure 0.5021112390277296 [0.353488,0.23913,0.379562,0.23301,0.320611,0.761905] f_measure 0.537580335557413 [0.449761,0.229885,0.493333,0.327586,0.319328,0.751381] f_measure 0.5410149183881786 [0.35514,0.449438,0.424658,0.415094,0.375,0.743268] f_measure 0.5519148049798137 [0.386139,0.350515,0.402878,0.333333,0.483871,0.775] f_measure 0.5481854322847532 [0.451327,0.386364,0.37594,0.373984,0.357143,0.760148] f_measure 0.47937036529145455 [0.352423,0.197531,0.396947,0.23301,0.393939,0.690909] f_measure 0.4902350202993672 [0.413146,0.311688,0.371429,0.227273,0.224,0.71848] f_measure 0.5249867411609371 [0.407583,0.263736,0.358621,0.296296,0.416667,0.753199] kappa 0.372125999831453 kappa 0.40998736233977245 kappa 0.3417441860465117 kappa 0.38763391157757365 kappa 0.38794619307191847 kappa 0.4085138162808065 kappa 0.4001372235109616 kappa 0.30695384075865395 kappa 0.3215603584607275 kappa 0.3687716979823386 kb_relative_information_score 0.3680745729545598 kb_relative_information_score 0.38338158117674104 kb_relative_information_score 0.33708970850296177 kb_relative_information_score 0.3683663456690301 kb_relative_information_score 0.38524749214163856 kb_relative_information_score 0.38632893482744096 kb_relative_information_score 0.38770657470776065 kb_relative_information_score 0.31017805913348967 kb_relative_information_score 0.28699941043770155 kb_relative_information_score 0.33910784619231554 mean_absolute_error 0.17618429736915112 mean_absolute_error 0.1759434862536903 mean_absolute_error 0.1817288104680384 mean_absolute_error 0.17781144649525008 mean_absolute_error 0.17657837441828111 mean_absolute_error 0.17362157293171632 mean_absolute_error 0.17331582695252565 mean_absolute_error 0.1909879436138451 mean_absolute_error 0.19637585307481262 mean_absolute_error 0.1855972357583942 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 0.5113587796051521 [0.389831,0.266667,0.339286,0.317073,0.42029,0.728188] precision 0.5522700274887294 [0.444444,0.424242,0.507246,0.377358,0.370968,0.723022] precision 0.4938102971642829 [0.35514,0.255814,0.419355,0.292683,0.308824,0.714777] precision 0.5297895724241614 [0.47,0.263158,0.493333,0.351852,0.333333,0.708333] precision 0.5367955328966977 [0.361905,0.5,0.43662,0.5,0.42,0.68543] precision 0.5451839437814023 [0.419355,0.354167,0.4375,0.425,0.483871,0.711475] precision 0.5431499822614979 [0.435897,0.435897,0.431034,0.377049,0.4,0.71777] precision 0.4737253281727004 [0.338983,0.25,0.464286,0.285714,0.371429,0.646259] precision 0.4864194977338117 [0.423077,0.413793,0.4,0.37037,0.222222,0.643963] precision 0.5172926757290236 [0.421569,0.27907,0.366197,0.340426,0.438596,0.707904] predictive_accuracy 0.5424836601307189 predictive_accuracy 0.5637254901960784 predictive_accuracy 0.5163398692810458 predictive_accuracy 0.5490196078431372 predictive_accuracy 0.553921568627451 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5588235294117647 predictive_accuracy 0.4934640522875817 predictive_accuracy 0.513911620294599 predictive_accuracy 0.5368248772504092 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 0.5424836601307189 [0.422018,0.166667,0.256757,0.209677,0.460317,0.847656] recall 0.5637254901960784 [0.477064,0.291667,0.466667,0.322581,0.365079,0.788235] recall 0.5163398692810458 [0.351852,0.22449,0.346667,0.193548,0.333333,0.815686] recall 0.5490196078431373 [0.431193,0.204082,0.493333,0.306452,0.306452,0.8] recall 0.553921568627451 [0.348624,0.408163,0.413333,0.354839,0.33871,0.811765] recall 0.5686274509803921 [0.357798,0.346939,0.373333,0.274194,0.483871,0.85098] recall 0.5588235294117647 [0.46789,0.346939,0.333333,0.370968,0.322581,0.807843] recall 0.4934640522875817 [0.366972,0.163265,0.346667,0.196721,0.419355,0.742188] recall 0.513911620294599 [0.40367,0.25,0.346667,0.163934,0.225806,0.8125] recall 0.5368248772504092 [0.394495,0.25,0.351351,0.262295,0.396825,0.804688] relative_absolute_error 0.7028396407651657 relative_absolute_error 0.7014295382406821 relative_absolute_error 0.7243388788252002 relative_absolute_error 0.7088418048851705 relative_absolute_error 0.703926187506086 relative_absolute_error 0.6921389570227001 relative_absolute_error 0.6909201067405745 relative_absolute_error 0.7618928945645875 relative_absolute_error 0.7836737475052656 relative_absolute_error 0.7406270552463122 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 0.3263865922693279 root_mean_squared_error 0.3194456495362002 root_mean_squared_error 0.3462794570552112 root_mean_squared_error 0.32790254296736837 root_mean_squared_error 0.31997998275451167 root_mean_squared_error 0.3217311682302506 root_mean_squared_error 0.3185478780777044 root_mean_squared_error 0.36187255177292355 root_mean_squared_error 0.34785150961067607 root_mean_squared_error 0.33557119269619606 root_relative_squared_error 0.9221305529818988 root_relative_squared_error 0.9019424932837182 root_relative_squared_error 0.977497780093403 root_relative_squared_error 0.9257749165759226 root_relative_squared_error 0.9034069670816881 root_relative_squared_error 0.9083511299815548 root_relative_squared_error 0.8993636724621914 root_relative_squared_error 1.022385462641705 root_relative_squared_error 0.9831329704618582 root_relative_squared_error 0.9483832606899582 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 3536.0172420041636 usercpu_time_millis 3330.621475004591 usercpu_time_millis 3679.5101050011 usercpu_time_millis 3463.965462993656 usercpu_time_millis 3425.876489003713 usercpu_time_millis 3159.880882994912 usercpu_time_millis 3221.728262004035 usercpu_time_millis 3512.0342079899274 usercpu_time_millis 3518.210783993709 usercpu_time_millis 3454.7294799995143 usercpu_time_millis_testing 99.66823900322197 usercpu_time_millis_testing 96.09786300279666 usercpu_time_millis_testing 48.83801200048765 usercpu_time_millis_testing 44.69740099739283 usercpu_time_millis_testing 48.05566800496308 usercpu_time_millis_testing 46.49798699392704 usercpu_time_millis_testing 48.687036003684625 usercpu_time_millis_testing 51.8680589957512 usercpu_time_millis_testing 47.173307997582015 usercpu_time_millis_testing 51.85720999725163 usercpu_time_millis_training 3436.3490030009416 usercpu_time_millis_training 3234.5236120017944 usercpu_time_millis_training 3630.672093000612 usercpu_time_millis_training 3419.268061996263 usercpu_time_millis_training 3377.8208209987497 usercpu_time_millis_training 3113.382896000985 usercpu_time_millis_training 3173.0412260003504 usercpu_time_millis_training 3460.166148994176 usercpu_time_millis_training 3471.037475996127 usercpu_time_millis_training 3402.8722700022627 wall_clock_time_millis 3548.786401748657 wall_clock_time_millis 3333.0469131469727 wall_clock_time_millis 3681.4143657684326 wall_clock_time_millis 3465.9383296966553 wall_clock_time_millis 3427.5259971618652 wall_clock_time_millis 3161.4174842834473 wall_clock_time_millis 3223.4444618225098 wall_clock_time_millis 3513.920545578003 wall_clock_time_millis 3519.940137863159 wall_clock_time_millis 3461.395502090454 wall_clock_time_millis_testing 100.02470016479492 wall_clock_time_millis_testing 96.26364707946777 wall_clock_time_millis_testing 48.848628997802734 wall_clock_time_millis_testing 44.70562934875488 wall_clock_time_millis_testing 48.06995391845703 wall_clock_time_millis_testing 46.555519104003906 wall_clock_time_millis_testing 48.8741397857666 wall_clock_time_millis_testing 51.93758010864258 wall_clock_time_millis_testing 47.18303680419922 wall_clock_time_millis_testing 52.69336700439453 wall_clock_time_millis_training 3448.7617015838623 wall_clock_time_millis_training 3236.783266067505 wall_clock_time_millis_training 3632.56573677063 wall_clock_time_millis_training 3421.2327003479004 wall_clock_time_millis_training 3379.456043243408 wall_clock_time_millis_training 3114.8619651794434 wall_clock_time_millis_training 3174.570322036743 wall_clock_time_millis_training 3461.9829654693604 wall_clock_time_millis_training 3472.75710105896 wall_clock_time_millis_training 3408.7021350860596