10560776 869 Pieter Gijsbers 167120 Supervised Classification 18995 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1) 8277066 Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth 1 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 31861 18820 splitter "best" 18820 memory null 18995 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18995 verbose false 18995 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 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"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 openml-python Sklearn_0.24.2. 23517 numerai28.6 https://www.openml.org/data/download/2160285/phpg2t68G -1 22047658 description https://api.openml.org/data/download/22047658/description.xml -1 22047659 predictions https://api.openml.org/data/download/22047659/predictions.arff area_under_roc_curve 0.5118622092744514 [0.511862,0.511862] average_cost 0 f_measure 0.4902524121168479 [0.37608,0.602088] kappa 0.02379514762749476 kb_relative_information_score 0.001242719704458253 mean_absolute_error 0.4995077307451483 mean_prior_absolute_error 0.4999465378136831 weighted_recall 0.514078073089701 [0.295959,0.727732] number_of_instances 96320 [47662,48658] precision 0.5145507438903937 [0.515683,0.513441] predictive_accuracy 0.514078073089701 prior_entropy 0.999922867391954 relative_absolute_error 0.9991222920145547 root_mean_prior_squared_error 0.4999732676368448 root_mean_squared_error 0.49980581596824053 root_relative_squared_error 0.9996650787563187 total_cost 0 unweighted_recall 0.5118456904184481 [0.295959,0.727732] area_under_roc_curve 0.5102992244341721 [0.510299,0.510299] area_under_roc_curve 0.5135914930736343 [0.513591,0.513591] area_under_roc_curve 0.5052806312834833 [0.505281,0.505281] area_under_roc_curve 0.5063100234414926 [0.50631,0.50631] area_under_roc_curve 0.5064665903968701 [0.506467,0.506467] area_under_roc_curve 0.5121562102707578 [0.512156,0.512156] area_under_roc_curve 0.5122295134445782 [0.51223,0.51223] area_under_roc_curve 0.5173269730325385 [0.517327,0.517327] area_under_roc_curve 0.517543562351421 [0.517544,0.517544] area_under_roc_curve 0.5172666057129217 [0.517267,0.517267] 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 0.4821421029193237 [0.352064,0.6096] f_measure 0.4821476959984085 [0.345138,0.616398] f_measure 0.504873441545492 [0.481542,0.527725] f_measure 0.47546826323864244 [0.338647,0.609478] f_measure 0.45838910772766234 [0.286879,0.626374] f_measure 0.4798041961558405 [0.340438,0.616307] f_measure 0.4818183629442343 [0.346708,0.614152] f_measure 0.4875104063099341 [0.35437,0.617914] f_measure 0.5171861153557412 [0.494942,0.538973] f_measure 0.4858819055071861 [0.349282,0.619674] kappa 0.020698641321820692 kappa 0.02732257347156766 kappa 0.010569215219911733 kappa 0.01268513713987425 kappa 0.013014806187268227 kappa 0.024441365180623568 kappa 0.024585125625823316 kappa 0.03483192544520715 kappa 0.03511278778839039 kappa 0.03471478352718342 kb_relative_information_score 0.0011307136642983323 kb_relative_information_score 0.0014699030236106337 kb_relative_information_score 0.0005016322033190783 kb_relative_information_score 0.000717920754228332 kb_relative_information_score 0.0007731314725452722 kb_relative_information_score 0.0013319156182939418 kb_relative_information_score 0.001333073977521127 kb_relative_information_score 0.001815711199150884 kb_relative_information_score 0.0015390422805764154 kb_relative_information_score 0.001814152494219395 mean_absolute_error 0.499547951787835 mean_absolute_error 0.49942847435528986 mean_absolute_error 0.4997681778793611 mean_absolute_error 0.49969254983132916 mean_absolute_error 0.49967275890867824 mean_absolute_error 0.49947600407371145 mean_absolute_error 0.49947557804426734 mean_absolute_error 0.4993057217014667 mean_absolute_error 0.49940379941768015 mean_absolute_error 0.49930629145171507 mean_prior_absolute_error 0.49994739664383886 mean_prior_absolute_error 0.49994739664383886 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 mean_prior_absolute_error 0.4999463231059595 number_of_instances 9632 [4767,4865] number_of_instances 9632 [4767,4865] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] number_of_instances 9632 [4766,4866] precision 0.5134657891509528 [0.514943,0.512018] precision 0.518380492166253 [0.522776,0.514074] precision 0.5053658751498052 [0.500566,0.510067] precision 0.5084738013429745 [0.507544,0.509384] precision 0.5103746142469403 [0.511578,0.509196] precision 0.5165881226337179 [0.520052,0.513196] precision 0.5163680432187582 [0.519481,0.51332] precision 0.5231103132932022 [0.529633,0.516722] precision 0.5176959548617718 [0.513892,0.521422] precision 0.5233963356349788 [0.530342,0.516594] predictive_accuracy 0.5127699335548173 predictive_accuracy 0.5161960132890365 predictive_accuracy 0.5057101328903655 predictive_accuracy 0.5089285714285715 predictive_accuracy 0.509655315614618 predictive_accuracy 0.5148463455149502 predictive_accuracy 0.5148463455149502 predictive_accuracy 0.5199335548172758 predictive_accuracy 0.5179609634551494 predictive_accuracy 0.5199335548172758 prior_entropy 0.9999253455413475 prior_entropy 0.9999253455413475 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 prior_entropy 0.9999222478553909 relative_absolute_error 0.9992010262305888 relative_absolute_error 0.9989620462231977 relative_absolute_error 0.9996436712935669 relative_absolute_error 0.9994923989578446 relative_absolute_error 0.9994528128628255 relative_absolute_error 0.9990592609436026 relative_absolute_error 0.9990584087932329 relative_absolute_error 0.9987186596342723 relative_absolute_error 0.998914836126989 relative_absolute_error 0.9987197992571119 root_mean_prior_squared_error 0.4999741265126469 root_mean_prior_squared_error 0.4999741265126469 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_prior_squared_error 0.49997305291805966 root_mean_squared_error 0.49986418377623676 root_mean_squared_error 0.499723976758037 root_mean_squared_error 0.500075816570947 root_mean_squared_error 0.5000216033823551 root_mean_squared_error 0.49997626740731943 root_mean_squared_error 0.4997760113497568 root_mean_squared_error 0.4997786267691173 root_mean_squared_error 0.4995875846780184 root_mean_squared_error 0.4996678744037402 root_mean_squared_error 0.49958593923234323 root_relative_squared_error 0.9997801031481829 root_relative_squared_error 0.9994996746004544 root_relative_squared_error 1.0002055383830941 root_relative_squared_error 1.0000971061620463 root_relative_squared_error 1.0000064293250228 root_relative_squared_error 0.9996058956234684 root_relative_squared_error 0.9996111267441162 root_relative_squared_error 0.999229021968701 root_relative_squared_error 0.9993896100749065 root_relative_squared_error 0.9992257308999813 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 0.510299224434172 [0.267464,0.753135] unweighted_recall 0.5135914930736343 [0.257604,0.769579] unweighted_recall 0.5052806312834833 [0.463911,0.54665] unweighted_recall 0.5063100234414926 [0.254091,0.758529] unweighted_recall 0.5064665903968703 [0.199329,0.813605] unweighted_recall 0.5121562102707578 [0.253042,0.77127] unweighted_recall 0.5122295134445782 [0.260176,0.764283] unweighted_recall 0.5173269730325385 [0.266261,0.768393] unweighted_recall 0.517543562351421 [0.477339,0.557748] unweighted_recall 0.5172666057129216 [0.260386,0.774147] usercpu_time_millis 234.375 usercpu_time_millis 250 usercpu_time_millis 234.375 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 250 usercpu_time_millis 234.375 usercpu_time_millis 234.375 usercpu_time_millis 250 usercpu_time_millis 234.375 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 250 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 usercpu_time_millis_training 234.375 wall_clock_time_millis 241.99151992797852 wall_clock_time_millis 241.30702018737793 wall_clock_time_millis 239.69388008117676 wall_clock_time_millis 246.49429321289062 wall_clock_time_millis 248.20184707641602 wall_clock_time_millis 242.54703521728516 wall_clock_time_millis 240.3888702392578 wall_clock_time_millis 240.6942844390869 wall_clock_time_millis 241.2877082824707 wall_clock_time_millis 239.02559280395508 wall_clock_time_millis_testing 6.003856658935547 wall_clock_time_millis_testing 4.997968673706055 wall_clock_time_millis_testing 5.012989044189453 wall_clock_time_millis_testing 5.125522613525391 wall_clock_time_millis_testing 5.012750625610352 wall_clock_time_millis_testing 6.00433349609375 wall_clock_time_millis_testing 4.835844039916992 wall_clock_time_millis_testing 4.997968673706055 wall_clock_time_millis_testing 6.400346755981445 wall_clock_time_millis_testing 5.012989044189453 wall_clock_time_millis_training 235.98766326904297 wall_clock_time_millis_training 236.30905151367188 wall_clock_time_millis_training 234.6808910369873 wall_clock_time_millis_training 241.36877059936523 wall_clock_time_millis_training 243.18909645080566 wall_clock_time_millis_training 236.5427017211914 wall_clock_time_millis_training 235.55302619934082 wall_clock_time_millis_training 235.69631576538086 wall_clock_time_millis_training 234.88736152648926 wall_clock_time_millis_training 234.01260375976562 weighted_recall 0.5127699335548173 [0.267464,0.753135] weighted_recall 0.5161960132890365 [0.257604,0.769579] weighted_recall 0.5057101328903655 [0.463911,0.54665] weighted_recall 0.5089285714285714 [0.254091,0.758529] weighted_recall 0.509655315614618 [0.199329,0.813605] weighted_recall 0.5148463455149501 [0.253042,0.77127] weighted_recall 0.5148463455149501 [0.260176,0.764283] weighted_recall 0.5199335548172758 [0.266261,0.768393] weighted_recall 0.5179609634551495 [0.477339,0.557748] weighted_recall 0.5199335548172758 [0.260386,0.774147]