10559381 8323 Heinrich Peters 3022 Supervised Classification 18298 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)(4) 8276112 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 13917.287565392886 17495 cache_size 200 17495 class_weight null 17495 coef0 0.030380904322180546 17495 decision_function_shape "ovr" 17495 degree 5 17495 gamma 0.0011255179130262153 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 memory null 18298 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"}}] 18298 verbose false 18298 n_jobs null 18299 remainder "drop" 18299 sparse_threshold 0.3 18299 transformer_weights null 18299 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, false, true, true, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, true, false, false, false, false, false, false, false, false, false, false]}}] 18299 verbose false 18299 memory null 18300 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18300 verbose false 18300 memory null 18301 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18301 verbose false 18301 openml-python Sklearn_0.21.2. 307 vowel https://www.openml.org/data/download/52210/phpd8EoD9 -1 22043727 description https://api.openml.org/data/download/22043727/description.xml -1 22043728 predictions https://api.openml.org/data/download/22043728/predictions.arff area_under_roc_curve 0.3458765432098766 [0.970667,0.141568,0.246457,0.089914,0.25321,0.20321,0.428827,0.943333,0.207889,0.133481,0.186086] average_cost 0 kappa 0.09555555555555556 kb_relative_information_score 0.00020215485871506993 mean_absolute_error 0.16528368816304964 mean_prior_absolute_error 0.16528925619834867 weighted_recall 0.17777777777777778 [1,0,0,0,0,0,0,0.955556,0,0,0] number_of_instances 990 [90,90,90,90,90,90,90,90,90,90,90] predictive_accuracy 0.17777777777777778 prior_entropy 3.4594316186372627 relative_absolute_error 0.9999663133864409 root_mean_prior_squared_error 0.28747978728803586 root_mean_squared_error 0.2874701204274951 root_relative_squared_error 0.9999663737731548 total_cost 0 unweighted_recall 0.17777777777777778 [1,0,0,0,0,0,0,0.955556,0,0,0] area_under_roc_curve 0.2934904601571268 [0.956173,0.138272,0.207407,0.140741,0.287654,0.140741,0.206173,0.966667,0.053086,0.101852,0.02963] area_under_roc_curve 0.33613916947250283 [0.955556,0.12716,0.211111,0.077778,0.138272,0.176543,0.433333,0.976543,0.240741,0.169136,0.191358] area_under_roc_curve 0.33726150392817056 [0.976543,0.11358,0.266667,0.139506,0.230864,0.177778,0.381481,0.946914,0.207407,0.179012,0.090123] area_under_roc_curve 0.3552188552188552 [0.954321,0.123457,0.255556,0.11358,0.308642,0.276543,0.45679,0.934568,0.198765,0.064198,0.220988] area_under_roc_curve 0.3525252525252525 [0.966667,0.166667,0.293827,0.066667,0.359259,0.2,0.325926,0.988889,0.214815,0.193827,0.101235] area_under_roc_curve 0.3847362514029181 [0.975309,0.179012,0.288889,0.087654,0.28642,0.212346,0.448148,0.975309,0.208642,0.049383,0.520988] area_under_roc_curve 0.32469135802469135 [0.954938,0.139506,0.206173,0.02963,0.076543,0.220988,0.508642,0.987654,0.150617,0.188272,0.108642] area_under_roc_curve 0.3730639730639731 [0.992593,0.117284,0.249383,0.075309,0.469136,0.15679,0.553086,0.982716,0.318519,0.106173,0.082716] area_under_roc_curve 0.3287317620650954 [0.984568,0.161111,0.253086,0.090123,0.150617,0.239506,0.324691,0.867901,0.238272,0.119136,0.187037] area_under_roc_curve 0.3349046015712683 [0.98642,0.150617,0.230864,0.091358,0.159259,0.218519,0.396296,0.876543,0.159259,0.132099,0.282716] 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 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.1 kappa 0.07777777777777779 kappa 0.07777777777777779 kb_relative_information_score 0.00018941728800173424 kb_relative_information_score 0.00020360047621956515 kb_relative_information_score 0.00021267720743974112 kb_relative_information_score 0.00019292228286238704 kb_relative_information_score 0.00021008332449724783 kb_relative_information_score 0.0002076041277116624 kb_relative_information_score 0.00018240255532347996 kb_relative_information_score 0.00023172746111668567 kb_relative_information_score 0.00020455092368874616 kb_relative_information_score 0.0001865629402894267 mean_absolute_error 0.1652846650965523 mean_absolute_error 0.16528357689520495 mean_absolute_error 0.16528313657068947 mean_absolute_error 0.1652837788663928 mean_absolute_error 0.1652834515545077 mean_absolute_error 0.1652839712999856 mean_absolute_error 0.16528390880481328 mean_absolute_error 0.1652825731242415 mean_absolute_error 0.16528376148341456 mean_absolute_error 0.16528405793469078 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 mean_prior_absolute_error 0.16528925619834728 number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.18181818181818182 predictive_accuracy 0.16161616161616163 predictive_accuracy 0.16161616161616163 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 prior_entropy 3.4594316186373035 relative_absolute_error 0.9999722238341403 relative_absolute_error 0.9999656402159889 relative_absolute_error 0.9999629762526702 relative_absolute_error 0.9999668621416754 relative_absolute_error 0.9999648819047705 relative_absolute_error 0.9999680263649118 relative_absolute_error 0.9999676482691193 relative_absolute_error 0.9999595674016599 relative_absolute_error 0.9999667569746569 relative_absolute_error 0.9999685505048781 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_prior_squared_error 0.28747978728803464 root_mean_squared_error 0.2874718183369328 root_mean_squared_error 0.28746992613810746 root_mean_squared_error 0.28746916192567507 root_mean_squared_error 0.2874702794734239 root_mean_squared_error 0.2874697083972326 root_mean_squared_error 0.28747060856129275 root_mean_squared_error 0.28747050833512194 root_mean_squared_error 0.287468183569927 root_mean_squared_error 0.2874702473204933 root_mean_squared_error 0.2874707622017798 root_relative_squared_error 0.9999722799603512 root_relative_squared_error 0.9999656979364699 root_relative_squared_error 0.9999630396193772 root_relative_squared_error 0.9999669270152854 root_relative_squared_error 0.9999649405236553 root_relative_squared_error 0.9999680717492229 root_relative_squared_error 0.9999677231119439 root_relative_squared_error 0.9999596364035986 root_relative_squared_error 0.9999668151711419 root_relative_squared_error 0.9999686061884908 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 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] unweighted_recall 0.1616161616161616 [1,0,0,0,0,0,0,0.777778,0,0,0] unweighted_recall 0.1616161616161616 [1,0,0,0,0,0,0,0.777778,0,0,0] usercpu_time_millis 468.38400000001457 usercpu_time_millis 460.93800000001295 usercpu_time_millis 463.37799999999163 usercpu_time_millis 445.25999999999044 usercpu_time_millis 458.44999999999914 usercpu_time_millis 465.75599999999895 usercpu_time_millis 460.409999999996 usercpu_time_millis 449.24599999998804 usercpu_time_millis 509.2680000000058 usercpu_time_millis 501.7079999999936 usercpu_time_millis_testing 8.064000000004512 usercpu_time_millis_testing 8.89400000001217 usercpu_time_millis_testing 7.803999999993039 usercpu_time_millis_testing 7.72999999999513 usercpu_time_millis_testing 7.891999999998234 usercpu_time_millis_testing 9.280000000003952 usercpu_time_millis_testing 7.8859999999991715 usercpu_time_millis_testing 7.801999999998088 usercpu_time_millis_testing 8.949999999998681 usercpu_time_millis_testing 9.321999999997388 usercpu_time_millis_training 460.32000000001005 usercpu_time_millis_training 452.0440000000008 usercpu_time_millis_training 455.5739999999986 usercpu_time_millis_training 437.5299999999953 usercpu_time_millis_training 450.5580000000009 usercpu_time_millis_training 456.475999999995 usercpu_time_millis_training 452.5239999999968 usercpu_time_millis_training 441.44399999998996 usercpu_time_millis_training 500.31800000000715 usercpu_time_millis_training 492.3859999999962 wall_clock_time_millis 267.3828601837158 wall_clock_time_millis 278.95116806030273 wall_clock_time_millis 288.0711555480957 wall_clock_time_millis 271.65889739990234 wall_clock_time_millis 256.86192512512207 wall_clock_time_millis 327.92091369628906 wall_clock_time_millis 262.6371383666992 wall_clock_time_millis 275.7866382598877 wall_clock_time_millis 329.47278022766113 wall_clock_time_millis 293.64776611328125 wall_clock_time_millis_testing 4.32896614074707 wall_clock_time_millis_testing 5.110025405883789 wall_clock_time_millis_testing 3.9060115814208984 wall_clock_time_millis_testing 3.8759708404541016 wall_clock_time_millis_testing 3.980875015258789 wall_clock_time_millis_testing 12.525796890258789 wall_clock_time_millis_testing 3.960132598876953 wall_clock_time_millis_testing 3.9129257202148438 wall_clock_time_millis_testing 4.525899887084961 wall_clock_time_millis_testing 4.706859588623047 wall_clock_time_millis_training 263.05389404296875 wall_clock_time_millis_training 273.84114265441895 wall_clock_time_millis_training 284.1651439666748 wall_clock_time_millis_training 267.78292655944824 wall_clock_time_millis_training 252.88105010986328 wall_clock_time_millis_training 315.3951168060303 wall_clock_time_millis_training 258.67700576782227 wall_clock_time_millis_training 271.87371253967285 wall_clock_time_millis_training 324.9468803405762 wall_clock_time_millis_training 288.9409065246582 weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0] weighted_recall 0.16161616161616163 [1,0,0,0,0,0,0,0.777778,0,0,0] weighted_recall 0.16161616161616163 [1,0,0,0,0,0,0,0.777778,0,0,0]