10571805 28997 Marc Boel 9960 Supervised Classification 19030 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2) 8288087 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. memory null 19030 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"}}] 19030 verbose false 19030 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 "median" 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 ccp_alpha 0.0 19034 class_weight null 19034 criterion "gini" 19034 max_depth null 19034 max_features 0.4152463492585933 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 10 19034 min_samples_split 10 19034 min_weight_fraction_leaf 0.0 19034 random_state 21070 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069877 description https://api.openml.org/data/download/22069877/description.xml -1 22069878 predictions https://api.openml.org/data/download/22069878/predictions.arff area_under_roc_curve 0.9978530405321475 [0.998254,0.997944,0.993757,0.998177] average_cost 0 f_measure 0.9869811510656084 [0.989588,0.990458,0.980031,0.973955] kappa 0.9803438885850588 kb_relative_information_score 0.9792422953190076 mean_absolute_error 0.007883788739546276 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9869868035190615 [0.991383,0.989986,0.972561,0.973366] number_of_instances 5456 [2205,2097,328,826] precision 0.9869853542129919 [0.987799,0.990931,0.987616,0.974545] predictive_accuracy 0.9869868035190617 prior_entropy 1.7146330399083418 relative_absolute_error 0.02380096837465895 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.06922137936774632 root_relative_squared_error 0.17010069573978293 total_cost 0 unweighted_recall 0.9818238767115434 [0.991383,0.989986,0.972561,0.973366] area_under_roc_curve 0.9943140931959338 [0.993073,0.995387,0.999823,0.992693] area_under_roc_curve 0.996719235508072 [0.996561,0.999957,0.969313,0.999882] area_under_roc_curve 0.9972263896440134 [0.997379,0.996039,0.999705,0.998842] area_under_roc_curve 0.9989038373943618 [0.999902,0.997569,0.998996,0.999597] area_under_roc_curve 0.9958447434706903 [0.998173,0.996067,0.984848,0.993481] area_under_roc_curve 0.9998634776369318 [0.999847,0.999929,1,0.999688] area_under_roc_curve 0.9983536185390217 [0.998364,0.997498,1,0.999857] area_under_roc_curve 0.9998287447064205 [0.999881,0.999772,1,0.999765] area_under_roc_curve 0.9978029370144926 [0.999763,0.997415,0.984848,0.998723] area_under_roc_curve 0.9997518348379223 [0.999616,0.99995,1,0.999513] 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 0.9836276733660319 [0.988558,0.985714,0.956522,0.975904] f_measure 0.9851665113115219 [0.98434,0.995238,0.935484,0.981595] f_measure 0.9889959656898675 [0.990909,0.99284,0.96875,0.982249] f_measure 0.9889900041468006 [0.99095,0.99284,0.985075,0.97561] f_measure 0.9871757813673041 [0.988662,0.995238,0.984615,0.963855] f_measure 0.9908431150458514 [0.993135,0.992908,1,0.975904] f_measure 0.9889632098328845 [0.993197,0.988124,1,0.97561] f_measure 0.9853037328408353 [0.991031,0.983051,1,0.97006] f_measure 0.9852834433048729 [0.988713,0.985714,0.96875,0.981595] f_measure 0.9852998972450886 [0.986486,0.992806,1,0.957055] kappa 0.9752073621117635 kappa 0.9777677112652758 kappa 0.9834265044393292 kappa 0.9834161009613195 kappa 0.9806432988437639 kappa 0.9861889633122205 kappa 0.9833458960620937 kappa 0.9778306587751947 kappa 0.9777776645140903 kappa 0.9778161077445189 kb_relative_information_score 0.9781951928415747 kb_relative_information_score 0.9716247045839498 kb_relative_information_score 0.9784323552468563 kb_relative_information_score 0.9824761485268999 kb_relative_information_score 0.9764676442663541 kb_relative_information_score 0.9848286258190836 kb_relative_information_score 0.9866084335956086 kb_relative_information_score 0.982569370969236 kb_relative_information_score 0.9747510086516782 kb_relative_information_score 0.9764812491787991 mean_absolute_error 0.008744694458980172 mean_absolute_error 0.008944952076820209 mean_absolute_error 0.008500417710944029 mean_absolute_error 0.006400213543070687 mean_absolute_error 0.008001142376142379 mean_absolute_error 0.006425786688944582 mean_absolute_error 0.005629966363911317 mean_absolute_error 0.007245323483855594 mean_absolute_error 0.010260631047690438 mean_absolute_error 0.008685283545254571 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.984105180533752 [1,0.985714,0.916667,0.964286] precision 0.9855684939264094 [0.973451,0.995238,1,0.987654] precision 0.9891938946406511 [0.990909,0.995215,1,0.965116] precision 0.9890603713273131 [0.986486,0.995215,0.970588,0.987654] precision 0.9872043491952994 [0.986425,0.995238,1,0.963855] precision 0.990919878243822 [1,0.985915,1,0.975904] precision 0.9889882136242378 [0.99095,0.985782,1,0.987654] precision 0.985472138702576 [0.982222,0.995098,1,0.964286] precision 0.9853928119751272 [0.986486,0.981043,1,0.987654] precision 0.9853101462570957 [0.982063,0.995192,1,0.962963] predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9853479853479854 predictive_accuracy 0.989010989010989 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9889908256880734 predictive_accuracy 0.9853211009174312 predictive_accuracy 0.9853211009174312 predictive_accuracy 0.9853211009174312 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 relative_absolute_error 0.026407574754577348 relative_absolute_error 0.027012320642279996 relative_absolute_error 0.02565198162851388 relative_absolute_error 0.0193141285297122 relative_absolute_error 0.024145302527390066 relative_absolute_error 0.019391301427615314 relative_absolute_error 0.017002768056618333 relative_absolute_error 0.021882423185021548 relative_absolute_error 0.030981465756694075 relative_absolute_error 0.026224782227702335 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.07948696960080266 root_mean_squared_error 0.07440420478001415 root_mean_squared_error 0.07018109213884528 root_mean_squared_error 0.06630660771641805 root_mean_squared_error 0.07453270044674463 root_mean_squared_error 0.05690431167596907 root_mean_squared_error 0.059919414488222335 root_mean_squared_error 0.0638843973246329 root_mean_squared_error 0.07154421316301782 root_mean_squared_error 0.07179337429839755 root_relative_squared_error 0.1953826697037367 root_relative_squared_error 0.18288899727982455 root_relative_squared_error 0.17238798213719506 root_relative_squared_error 0.16287096649881153 root_relative_squared_error 0.18307697189765798 root_relative_squared_error 0.1397758166162351 root_relative_squared_error 0.14729487121512716 root_relative_squared_error 0.1570502672129555 root_relative_squared_error 0.17583632745136019 root_relative_squared_error 0.1764486981386855 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 0.9877236823434815 [0.977376,0.985714,1,0.987805] unweighted_recall 0.9612777108114268 [0.995475,0.995238,0.878788,0.97561] unweighted_recall 0.9801948051948053 [0.990909,0.990476,0.939394,1] unweighted_recall 0.9874465394043708 [0.995455,0.990476,1,0.963855] unweighted_recall 0.9799248943827258 [0.990909,0.995238,0.969697,0.963855] unweighted_recall 0.990566812705367 [0.986364,1,1,0.975904] unweighted_recall 0.9874465394043708 [0.995455,0.990476,1,0.963855] unweighted_recall 0.9867988701216349 [1,0.971292,1,0.975904] unweighted_recall 0.9740961359363534 [0.99095,0.990431,0.939394,0.97561] unweighted_recall 0.9831500901122587 [0.99095,0.990431,1,0.95122] usercpu_time_millis 71.62867900001402 usercpu_time_millis 80.17073299998856 usercpu_time_millis 84.53765400003022 usercpu_time_millis 84.87039499999582 usercpu_time_millis 77.40379900002381 usercpu_time_millis 74.12206899999774 usercpu_time_millis 76.16649999999936 usercpu_time_millis 80.31277300000284 usercpu_time_millis 80.50891900001034 usercpu_time_millis 76.98892499996646 usercpu_time_millis_testing 5.4363410000064505 usercpu_time_millis_testing 6.403256999988116 usercpu_time_millis_testing 6.2706390000357715 usercpu_time_millis_testing 7.145437000019683 usercpu_time_millis_testing 5.374916000050689 usercpu_time_millis_testing 5.481922000001305 usercpu_time_millis_testing 6.160604999990937 usercpu_time_millis_testing 6.065019000004668 usercpu_time_millis_testing 5.458304000001135 usercpu_time_millis_testing 3.7644639999712126 usercpu_time_millis_training 66.19233800000757 usercpu_time_millis_training 73.76747600000044 usercpu_time_millis_training 78.26701499999444 usercpu_time_millis_training 77.72495799997614 usercpu_time_millis_training 72.02888299997312 usercpu_time_millis_training 68.64014699999643 usercpu_time_millis_training 70.00589500000842 usercpu_time_millis_training 74.24775399999817 usercpu_time_millis_training 75.0506150000092 usercpu_time_millis_training 73.22446099999524 wall_clock_time_millis 71.72846794128418 wall_clock_time_millis 80.50251007080078 wall_clock_time_millis 84.85627174377441 wall_clock_time_millis 84.97762680053711 wall_clock_time_millis 77.70323753356934 wall_clock_time_millis 74.61190223693848 wall_clock_time_millis 76.22361183166504 wall_clock_time_millis 92.93913841247559 wall_clock_time_millis 80.7335376739502 wall_clock_time_millis 77.1329402923584 wall_clock_time_millis_testing 5.442619323730469 wall_clock_time_millis_testing 6.485700607299805 wall_clock_time_millis_testing 6.278038024902344 wall_clock_time_millis_testing 7.151603698730469 wall_clock_time_millis_testing 5.382299423217773 wall_clock_time_millis_testing 5.488157272338867 wall_clock_time_millis_testing 6.212472915649414 wall_clock_time_millis_testing 6.08372688293457 wall_clock_time_millis_testing 5.464076995849609 wall_clock_time_millis_testing 3.770112991333008 wall_clock_time_millis_training 66.28584861755371 wall_clock_time_millis_training 74.01680946350098 wall_clock_time_millis_training 78.57823371887207 wall_clock_time_millis_training 77.82602310180664 wall_clock_time_millis_training 72.32093811035156 wall_clock_time_millis_training 69.12374496459961 wall_clock_time_millis_training 70.01113891601562 wall_clock_time_millis_training 86.85541152954102 wall_clock_time_millis_training 75.26946067810059 wall_clock_time_millis_training 73.36282730102539 weighted_recall 0.9835164835164835 [0.977376,0.985714,1,0.987805] weighted_recall 0.9853479853479854 [0.995475,0.995238,0.878788,0.97561] weighted_recall 0.989010989010989 [0.990909,0.990476,0.939394,1] weighted_recall 0.989010989010989 [0.995455,0.990476,1,0.963855] weighted_recall 0.9871794871794872 [0.990909,0.995238,0.969697,0.963855] weighted_recall 0.9908424908424909 [0.986364,1,1,0.975904] weighted_recall 0.9889908256880734 [0.995455,0.990476,1,0.963855] weighted_recall 0.9853211009174312 [1,0.971292,1,0.975904] weighted_recall 0.9853211009174312 [0.99095,0.990431,0.939394,0.97561] weighted_recall 0.9853211009174312 [0.99095,0.990431,1,0.95122]