10398482 8323 Heinrich Peters 14965 Supervised Classification 16374 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2) 8236251 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 139.85796160752008 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5600577147860231 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.0012591843444165287 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, false, false, false, true, false, false, false, true, false, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, true, true, true, false, true, true, true, false, true, false, false, false, false, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 1461 bank-marketing https://www.openml.org/data/download/1586218/phpkIxskf -1 21718716 description https://api.openml.org/data/download/21718716/description.xml -1 21718717 predictions https://api.openml.org/data/download/21718717/predictions.arff area_under_roc_curve 0.6125930651743863 [0.612593,0.612593] average_cost 0 f_measure 0.8741412131079459 [0.943221,0.352715] kappa 0.30825857353227765 kb_relative_information_score 0.3432988475260519 mean_absolute_error 0.10439937183428812 mean_prior_absolute_error 0.2066116987839826 number_of_instances 45211 [39922,5289] precision 0.8763169245864584 [0.907355,0.642037] predictive_accuracy 0.8956006281657118 prior_entropy 0.520631223257915 recall 0.8956006281657118 [0.98204,0.243146] relative_absolute_error 0.5052926453280854 root_mean_prior_squared_error 0.3214021785344237 root_mean_squared_error 0.32310891636457223 root_relative_squared_error 1.0053102870613109 total_cost 0 area_under_roc_curve 0.6047814298841498 [0.604781,0.604781] area_under_roc_curve 0.6205938517405459 [0.620594,0.620594] area_under_roc_curve 0.6158024934557205 [0.615802,0.615802] area_under_roc_curve 0.6224303521977793 [0.62243,0.62243] area_under_roc_curve 0.6213483204594445 [0.621348,0.621348] area_under_roc_curve 0.6051666186815976 [0.605167,0.605167] area_under_roc_curve 0.6020689772740188 [0.602069,0.602069] area_under_roc_curve 0.6156204185308235 [0.61562,0.61562] area_under_roc_curve 0.6132858817824686 [0.613286,0.613286] area_under_roc_curve 0.6048476916024867 [0.604848,0.604848] 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 0.8714250997675363 [0.942589,0.334262] f_measure 0.8772211708446774 [0.944123,0.371274] f_measure 0.876290477474884 [0.944458,0.361878] f_measure 0.8769669258745927 [0.943574,0.374332] f_measure 0.8782957257438093 [0.945013,0.374829] f_measure 0.8701405474811889 [0.941276,0.333333] f_measure 0.8704453201875133 [0.942363,0.327731] f_measure 0.8751231343819684 [0.943428,0.359673] f_measure 0.8747109105640405 [0.943596,0.354883] f_measure 0.8706026783885666 [0.941799,0.333333] kappa 0.2905698177189833 kappa 0.3265102875426444 kappa 0.31895200812287633 kappa 0.3283098508383797 kappa 0.3316057047007006 kappa 0.2870647496056028 kappa 0.28433672002174 kappa 0.31489487103759295 kappa 0.31096717461474954 kappa 0.2881287778724844 kb_relative_information_score 0.33507896078073107 kb_relative_information_score 0.35370388763153693 kb_relative_information_score 0.3572867240597364 kb_relative_information_score 0.34893979839817135 kb_relative_information_score 0.3642424954443711 kb_relative_information_score 0.32111671285963267 kb_relative_information_score 0.33224594707505006 kb_relative_information_score 0.34615748984432004 kb_relative_information_score 0.3475486441212462 kb_relative_information_score 0.32668132996734145 mean_absolute_error 0.10570544007076514 mean_absolute_error 0.10263216102632161 mean_absolute_error 0.10218978102189781 mean_absolute_error 0.10351692103516921 mean_absolute_error 0.10108383101083832 mean_absolute_error 0.1079407210794072 mean_absolute_error 0.10617120106171202 mean_absolute_error 0.10395930103959301 mean_absolute_error 0.1037381110373811 mean_absolute_error 0.1070559610705596 mean_prior_absolute_error 0.20661080331612625 mean_prior_absolute_error 0.2064611931746976 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 number_of_instances 4522 [3993,529] number_of_instances 4521 [3993,528] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] precision 0.8739421171637319 [0.905608,0.634921] precision 0.8792964332820785 [0.909302,0.652381] precision 0.8803601205131926 [0.907998,0.671795] precision 0.8779483884726499 [0.909577,0.639269] precision 0.882206662266151 [0.909238,0.678218] precision 0.8700837942837 [0.905743,0.600985] precision 0.8730907108206648 [0.904982,0.632432] precision 0.8771128036362017 [0.908017,0.643902] precision 0.8775223168841753 [0.907472,0.651515] precision 0.8715428735273392 [0.905643,0.614213] predictive_accuracy 0.8942945599292348 predictive_accuracy 0.8973678389736784 predictive_accuracy 0.8978102189781022 predictive_accuracy 0.8964830789648307 predictive_accuracy 0.8989161689891617 predictive_accuracy 0.8920592789205928 predictive_accuracy 0.893828798938288 predictive_accuracy 0.896040698960407 predictive_accuracy 0.8962618889626189 predictive_accuracy 0.8929440389294403 prior_entropy 0.52062781452543 prior_entropy 0.5200583010979982 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 recall 0.8942945599292349 [0.98272,0.226843] recall 0.8973678389736784 [0.981718,0.25947] recall 0.8978102189781022 [0.983968,0.247637] recall 0.8964830789648308 [0.98021,0.26465] recall 0.8989161689891617 [0.983717,0.258979] recall 0.8920592789205928 [0.979709,0.230624] recall 0.893828798938288 [0.982966,0.221172] recall 0.896040698960407 [0.981713,0.249527] recall 0.8962618889626189 [0.982715,0.243856] recall 0.8929440389294404 [0.980962,0.228733] relative_absolute_error 0.5116162290363385 relative_absolute_error 0.49710146225629515 relative_absolute_error 0.49455293253083193 relative_absolute_error 0.5009756978883751 relative_absolute_error 0.48920062806621245 relative_absolute_error 0.5223849157468528 relative_absolute_error 0.5138212286034617 relative_absolute_error 0.5031166196742229 relative_absolute_error 0.5020461587812991 relative_absolute_error 0.5181030721751572 root_mean_prior_squared_error 0.32140078546700224 root_mean_prior_squared_error 0.32116795412583954 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_squared_error 0.32512373040238873 root_mean_squared_error 0.3203625462289898 root_mean_squared_error 0.31967136409428015 root_mean_squared_error 0.3217404560125587 root_mean_squared_error 0.31793683493870023 root_mean_squared_error 0.3285433321183177 root_mean_squared_error 0.32583922578736896 root_mean_squared_error 0.3224272026979005 root_mean_squared_error 0.32208401239021645 root_mean_squared_error 0.32719407248689514 root_relative_squared_error 1.0115834966923836 root_relative_squared_error 0.9974922532385215 root_relative_squared_error 0.9945237041300724 root_relative_squared_error 1.000960817959715 root_relative_squared_error 0.9891274423610008 root_relative_squared_error 1.0221251207511344 root_relative_squared_error 1.013712425256071 root_relative_squared_error 1.00309734294762 root_relative_squared_error 1.0020296498904504 root_relative_squared_error 1.017927463916036 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 89158.73065404594 usercpu_time_millis 89737.76279808953 usercpu_time_millis 90782.13312395383 usercpu_time_millis 90440.99189597182 usercpu_time_millis 91361.48730595596 usercpu_time_millis 89145.78391693067 usercpu_time_millis 94008.02651199047 usercpu_time_millis 93128.97954997607 usercpu_time_millis 91424.748311867 usercpu_time_millis 90690.44839707203 usercpu_time_millis_testing 5839.40081205219 usercpu_time_millis_testing 5873.433833010495 usercpu_time_millis_testing 5934.176209964789 usercpu_time_millis_testing 5881.097364006564 usercpu_time_millis_testing 5927.762946928851 usercpu_time_millis_testing 5885.612561949529 usercpu_time_millis_testing 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wall_clock_time_millis 90693.95112991333 wall_clock_time_millis_testing 5839.447259902954 wall_clock_time_millis_testing 5873.477935791016 wall_clock_time_millis_testing 5934.20672416687 wall_clock_time_millis_testing 5881.133079528809 wall_clock_time_millis_testing 5927.793025970459 wall_clock_time_millis_testing 5885.642766952515 wall_clock_time_millis_testing 5878.708600997925 wall_clock_time_millis_testing 5887.052536010742 wall_clock_time_millis_testing 5871.772766113281 wall_clock_time_millis_testing 5873.923540115356 wall_clock_time_millis_training 83320.62005996704 wall_clock_time_millis_training 83865.30470848083 wall_clock_time_millis_training 84848.51408004761 wall_clock_time_millis_training 84560.55068969727 wall_clock_time_millis_training 85434.25059318542 wall_clock_time_millis_training 83260.44750213623 wall_clock_time_millis_training 88184.16428565979 wall_clock_time_millis_training 87242.48194694519 wall_clock_time_millis_training 85553.51829528809 wall_clock_time_millis_training 84820.02758979797