10586562 28997 Marc Boel 9985 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302844 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "most_frequent" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.6747568725390458 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1904 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 116 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 8 19040 random_state 9429 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.37639353945219584 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 22099395 description https://api.openml.org/data/download/22099395/description.xml -1 22099396 predictions https://api.openml.org/data/download/22099396/predictions.arff area_under_roc_curve 0.8215036367067665 [0.76609,0.774113,0.812034,0.766913,0.789209,0.878001] average_cost 0 f_measure 0.5469855289528434 [0.444853,0.313869,0.41831,0.367384,0.364769,0.760488] kappa 0.3986909008134141 kb_relative_information_score 0.36837461269345945 mean_absolute_error 0.18053387325412515 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5624387054593004 [0.444444,0.265432,0.397059,0.332253,0.328526,0.830462] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5398387172176584 [0.445262,0.383929,0.441964,0.410822,0.41,0.701389] predictive_accuracy 0.5624387054593004 prior_entropy 2.3000072984859514 relative_absolute_error 0.7199337235652175 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.31097441463514897 root_relative_squared_error 0.8782729055096472 total_cost 0 unweighted_recall 0.4330293107383081 [0.444444,0.265432,0.397059,0.332253,0.328526,0.830462] area_under_roc_curve 0.8414164913358396 [0.81365,0.771055,0.810032,0.783534,0.823893,0.893834] area_under_roc_curve 0.8366430968698786 [0.803445,0.812482,0.842682,0.82305,0.776968,0.871654] area_under_roc_curve 0.818259837376344 [0.742422,0.749502,0.81378,0.75283,0.784124,0.889251] area_under_roc_curve 0.8286095655229421 [0.755677,0.80866,0.829137,0.748842,0.780513,0.894552] area_under_roc_curve 0.8037322941655292 [0.729285,0.765995,0.798808,0.770279,0.780587,0.858016] area_under_roc_curve 0.8210268950522134 [0.750606,0.7298,0.812998,0.791408,0.824883,0.877283] area_under_roc_curve 0.8145910667752935 [0.788207,0.778464,0.77887,0.761056,0.778372,0.86514] area_under_roc_curve 0.8295024222867371 [0.745664,0.819154,0.838436,0.773199,0.815117,0.881463] area_under_roc_curve 0.8093241707600676 [0.758133,0.787818,0.797002,0.737228,0.746239,0.87122] area_under_roc_curve 0.8165061346621516 [0.77745,0.726243,0.810031,0.734575,0.794027,0.876986] 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 0.5592037886004201 [0.491228,0.263158,0.368794,0.386555,0.410256,0.777164] f_measure 0.5533414751367549 [0.515556,0.27027,0.408759,0.428571,0.344262,0.747292] f_measure 0.5440811610686531 [0.407583,0.315789,0.42029,0.357895,0.421875,0.75763] f_measure 0.5600110215673779 [0.411483,0.372093,0.493671,0.299065,0.388889,0.784173] f_measure 0.532397403845374 [0.412844,0.344828,0.390625,0.327273,0.345455,0.756567] f_measure 0.5749658116006129 [0.479263,0.363636,0.450704,0.42623,0.363636,0.780576] f_measure 0.5310375362524556 [0.486957,0.344828,0.268657,0.4,0.32,0.746004] f_measure 0.5574159446394346 [0.418605,0.357143,0.496454,0.40367,0.372881,0.754039] f_measure 0.509862676591776 [0.396226,0.3,0.431373,0.256881,0.277228,0.737213] f_measure 0.5386205766309822 [0.417062,0.184211,0.432432,0.373984,0.381818,0.765343] kappa 0.41664028988987234 kappa 0.4080457243350187 kappa 0.39536755827143333 kappa 0.419828775772394 kappa 0.37960887034118407 kappa 0.43716199381512805 kappa 0.37941562559919767 kappa 0.4101345334207989 kappa 0.3499180710742699 kappa 0.3897896839384326 kb_relative_information_score 0.38248584045154993 kb_relative_information_score 0.38512743444273817 kb_relative_information_score 0.3700619938969251 kb_relative_information_score 0.3780140573840269 kb_relative_information_score 0.33990124371219793 kb_relative_information_score 0.3848031221429715 kb_relative_information_score 0.3647210608319666 kb_relative_information_score 0.3797763343221387 kb_relative_information_score 0.3503010225198807 kb_relative_information_score 0.34844516291820304 mean_absolute_error 0.17714951954279054 mean_absolute_error 0.17859906865038863 mean_absolute_error 0.17687364948520132 mean_absolute_error 0.17828723473703112 mean_absolute_error 0.1876175431504623 mean_absolute_error 0.17754183159480844 mean_absolute_error 0.1813335201534885 mean_absolute_error 0.17940665883889503 mean_absolute_error 0.18328883872212173 mean_absolute_error 0.1852530803663542 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 0.5529084898585985 [0.470588,0.357143,0.38806,0.403509,0.444444,0.735192] precision 0.5482919878357758 [0.5,0.384615,0.451613,0.48,0.355932,0.692308] precision 0.5422554336575249 [0.417476,0.326087,0.460317,0.515152,0.415385,0.698675] precision 0.5528322397013106 [0.43,0.432432,0.46988,0.355556,0.456522,0.724252] precision 0.5258413854391258 [0.412844,0.394737,0.471698,0.375,0.395833,0.683544] precision 0.5708163174937828 [0.481481,0.5,0.477612,0.433333,0.416667,0.72093] precision 0.5246001770838146 [0.46281,0.394737,0.305085,0.458333,0.421053,0.681818] precision 0.5522327443327689 [0.424528,0.428571,0.530303,0.458333,0.392857,0.697674] precision 0.5012504636736447 [0.407767,0.375,0.423077,0.291667,0.358974,0.672026] precision 0.5301446508028512 [0.431373,0.25,0.432432,0.370968,0.446809,0.711409] predictive_accuracy 0.5718954248366014 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5588235294117647 predictive_accuracy 0.576797385620915 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.5898692810457516 predictive_accuracy 0.5506535947712419 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.530278232405892 predictive_accuracy 0.5548281505728314 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 relative_absolute_error 0.7066901337767981 relative_absolute_error 0.7120164827984954 relative_absolute_error 0.7049870663428167 relative_absolute_error 0.710738525274632 relative_absolute_error 0.7479336147149992 relative_absolute_error 0.7077669904318832 relative_absolute_error 0.7228824816697831 relative_absolute_error 0.7156926035252539 relative_absolute_error 0.7314476238712092 relative_absolute_error 0.7392537007698182 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 0.306709871402023 root_mean_squared_error 0.30525465229970794 root_mean_squared_error 0.31401935120604924 root_mean_squared_error 0.3074589821037624 root_mean_squared_error 0.31592527687913974 root_mean_squared_error 0.30744838609246034 root_mean_squared_error 0.31359771941134995 root_mean_squared_error 0.3074901986154124 root_mean_squared_error 0.31785053085490894 root_mean_squared_error 0.31371036690480886 root_relative_squared_error 0.8665384854031367 root_relative_squared_error 0.8618747589187408 root_relative_squared_error 0.8864320780696582 root_relative_squared_error 0.8680561331784328 root_relative_squared_error 0.8919592211766314 root_relative_squared_error 0.8680262172119678 root_relative_squared_error 0.8853877737548796 root_relative_squared_error 0.8687409626096172 root_relative_squared_error 0.8983411827420582 root_relative_squared_error 0.8866007188727267 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 unweighted_recall 0.441597504243743 [0.513761,0.208333,0.351351,0.370968,0.380952,0.824219] unweighted_recall 0.44099526196983674 [0.53211,0.208333,0.373333,0.387097,0.333333,0.811765] unweighted_recall 0.43685887019084807 [0.398148,0.306122,0.386667,0.274194,0.428571,0.827451] unweighted_recall 0.44878369657027256 [0.394495,0.326531,0.52,0.258065,0.33871,0.854902] unweighted_recall 0.41602213934799526 [0.412844,0.306122,0.333333,0.290323,0.306452,0.847059] unweighted_recall 0.46372684143204485 [0.477064,0.285714,0.426667,0.419355,0.322581,0.85098] unweighted_recall 0.4160527590734429 [0.513761,0.306122,0.24,0.354839,0.258065,0.823529] unweighted_recall 0.4535733499543073 [0.412844,0.306122,0.466667,0.360656,0.354839,0.820312] unweighted_recall 0.39117366654194097 [0.385321,0.25,0.44,0.229508,0.225806,0.816406] unweighted_recall 0.4200738340329351 [0.40367,0.145833,0.432432,0.377049,0.333333,0.828125] usercpu_time_millis 10962.356881002052 usercpu_time_millis 7755.0983000001 usercpu_time_millis 12938.181278997945 usercpu_time_millis 8747.178866000468 usercpu_time_millis 6271.615196998027 usercpu_time_millis 8262.78130100036 usercpu_time_millis 11740.40090300332 usercpu_time_millis 9271.641779996571 usercpu_time_millis 9872.480029000144 usercpu_time_millis 8265.003106000222 usercpu_time_millis_testing 12.408611000864767 usercpu_time_millis_testing 11.081401000410551 usercpu_time_millis_testing 12.797833998774877 usercpu_time_millis_testing 11.574716001632623 usercpu_time_millis_testing 11.457839998911368 usercpu_time_millis_testing 11.385912999685388 usercpu_time_millis_testing 12.691115000052378 usercpu_time_millis_testing 12.0538659975864 usercpu_time_millis_testing 8.180859000276541 usercpu_time_millis_testing 11.176355001225602 usercpu_time_millis_training 10949.948270001187 usercpu_time_millis_training 7744.016898999689 usercpu_time_millis_training 12925.38344499917 usercpu_time_millis_training 8735.604149998835 usercpu_time_millis_training 6260.157356999116 usercpu_time_millis_training 8251.395388000674 usercpu_time_millis_training 11727.709788003267 usercpu_time_millis_training 9259.587913998985 usercpu_time_millis_training 9864.299169999867 usercpu_time_millis_training 8253.826750998996 wall_clock_time_millis 11202.269554138184 wall_clock_time_millis 7960.687875747681 wall_clock_time_millis 13263.710021972656 wall_clock_time_millis 8859.016418457031 wall_clock_time_millis 6384.476184844971 wall_clock_time_millis 8455.76524734497 wall_clock_time_millis 11950.21653175354 wall_clock_time_millis 9463.699340820312 wall_clock_time_millis 10102.015256881714 wall_clock_time_millis 8438.710451126099 wall_clock_time_millis_testing 12.414932250976562 wall_clock_time_millis_testing 11.087179183959961 wall_clock_time_millis_testing 12.804508209228516 wall_clock_time_millis_testing 11.583805084228516 wall_clock_time_millis_testing 11.542320251464844 wall_clock_time_millis_testing 13.554096221923828 wall_clock_time_millis_testing 12.800931930541992 wall_clock_time_millis_testing 12.061834335327148 wall_clock_time_millis_testing 8.185386657714844 wall_clock_time_millis_testing 11.183738708496094 wall_clock_time_millis_training 11189.854621887207 wall_clock_time_millis_training 7949.600696563721 wall_clock_time_millis_training 13250.905513763428 wall_clock_time_millis_training 8847.432613372803 wall_clock_time_millis_training 6372.933864593506 wall_clock_time_millis_training 8442.211151123047 wall_clock_time_millis_training 11937.415599822998 wall_clock_time_millis_training 9451.637506484985 wall_clock_time_millis_training 10093.829870223999 wall_clock_time_millis_training 8427.526712417603 weighted_recall 0.5718954248366013 [0.513761,0.208333,0.351351,0.370968,0.380952,0.824219] weighted_recall 0.5686274509803921 [0.53211,0.208333,0.373333,0.387097,0.333333,0.811765] weighted_recall 0.5588235294117647 [0.398148,0.306122,0.386667,0.274194,0.428571,0.827451] weighted_recall 0.576797385620915 [0.394495,0.326531,0.52,0.258065,0.33871,0.854902] weighted_recall 0.5522875816993464 [0.412844,0.306122,0.333333,0.290323,0.306452,0.847059] weighted_recall 0.5898692810457516 [0.477064,0.285714,0.426667,0.419355,0.322581,0.85098] weighted_recall 0.5506535947712419 [0.513761,0.306122,0.24,0.354839,0.258065,0.823529] weighted_recall 0.5702614379084967 [0.412844,0.306122,0.466667,0.360656,0.354839,0.820312] weighted_recall 0.530278232405892 [0.385321,0.25,0.44,0.229508,0.225806,0.816406] weighted_recall 0.5548281505728314 [0.40367,0.145833,0.432432,0.377049,0.333333,0.828125]