10559487 8323 Heinrich Peters 9971 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) 8276119 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 547.0836590063223 17495 cache_size 200 17495 class_weight null 17495 coef0 0.7039368935060544 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.003970623713474363 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": [true, false, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, 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. 1480 ilpd https://www.openml.org/data/download/1590565/phpOJxGL9 -1 22043946 description https://api.openml.org/data/download/22043946/description.xml -1 22043947 predictions https://api.openml.org/data/download/22043947/predictions.arff area_under_roc_curve 0.6986123906034085 [0.698612,0.698612] average_cost 0 f_measure 0.6062959807810075 [0.823649,0.064865] kappa 0.009661930618697571 kb_relative_information_score 0.04374202991972059 mean_absolute_error 0.3792927848785969 mean_prior_absolute_error 0.40910410344372566 weighted_recall 0.7032590051457976 [0.971154,0.035928] number_of_instances 583 [416,167] precision 0.6057033854996787 [0.715044,0.333333] predictive_accuracy 0.7032590051457975 prior_entropy 0.8640923064827097 relative_absolute_error 0.9271302382103106 root_mean_prior_squared_error 0.4521025039976148 root_mean_squared_error 0.4366222838466862 root_relative_squared_error 0.9657594903499799 total_cost 0 unweighted_recall 0.5035409949332105 [0.971154,0.035928] area_under_roc_curve 0.6498599439775912 [0.64986,0.64986] area_under_roc_curve 0.623249299719888 [0.623249,0.623249] area_under_roc_curve 0.7380952380952381 [0.738095,0.738095] area_under_roc_curve 0.6614060258249641 [0.661406,0.661406] area_under_roc_curve 0.6685796269727402 [0.66858,0.66858] area_under_roc_curve 0.7245337159253944 [0.724534,0.724534] area_under_roc_curve 0.8077474892395983 [0.807747,0.807747] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.71875 [0.71875,0.71875] area_under_roc_curve 0.7485119047619048 [0.748512,0.748512] 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 0.5897534668721109 [0.791667,0.090909] f_measure 0.6199551266455815 [0.828283,0.105263] f_measure 0.654140671599684 [0.817204,0.26087] f_measure 0.5934318555008211 [0.8,0.095238] f_measure 0.5770584095707247 [0.816327,0] kappa -0.04609929078014163 kappa 0.04748338081671427 kappa 0 kappa 0.12743362831858412 kappa -0.01848428835489828 kappa -0.03366336633663333 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score -0.017615402209885955 kb_relative_information_score -0.007567846877335683 kb_relative_information_score 0.09417666717624266 kb_relative_information_score 0.04014026158103579 kb_relative_information_score 0.04278544774280055 kb_relative_information_score 0.016321681685243356 kb_relative_information_score 0.06541725144934182 kb_relative_information_score 0.07609942123487551 kb_relative_information_score 0.05480479930496103 kb_relative_information_score 0.0754036721433907 mean_absolute_error 0.395703149313341 mean_absolute_error 0.39365434153103157 mean_absolute_error 0.3655181390134212 mean_absolute_error 0.37695113767805405 mean_absolute_error 0.37792981611967 mean_absolute_error 0.3979687313220992 mean_absolute_error 0.38237897992866976 mean_absolute_error 0.3658641532778063 mean_absolute_error 0.37322356018469843 mean_absolute_error 0.3634427839478342 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.40459770114942495 mean_prior_absolute_error 0.40459770114942495 mean_prior_absolute_error 0.40459770114942495 number_of_instances 59 [42,17] number_of_instances 59 [42,17] number_of_instances 59 [42,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [42,16] number_of_instances 58 [42,16] number_of_instances 58 [42,16] precision 0.5585687382297552 [0.703704,0.2] precision 0.6561106155218555 [0.719298,0.5] precision 0.6631299734748011 [0.730769,0.5] precision 0.570721583652618 [0.703704,0.25] precision 0.49606775559588623 [0.701754,0] predictive_accuracy 0.6610169491525424 predictive_accuracy 0.711864406779661 predictive_accuracy 0.711864406779661 predictive_accuracy 0.7068965517241379 predictive_accuracy 0.6724137931034483 predictive_accuracy 0.6896551724137931 predictive_accuracy 0.7068965517241379 predictive_accuracy 0.7241379310344827 predictive_accuracy 0.7241379310344827 predictive_accuracy 0.7241379310344827 prior_entropy 0.866303894607806 prior_entropy 0.866303894607806 prior_entropy 0.866303894607806 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8502061101753194 prior_entropy 0.8502061101753194 prior_entropy 0.8502061101753194 relative_absolute_error 0.9655492540508998 relative_absolute_error 0.9605499892501638 relative_absolute_error 0.8918952681547008 relative_absolute_error 0.9150713387290824 relative_absolute_error 0.9174471389382854 relative_absolute_error 0.9660927991528108 relative_absolute_error 0.9282477490863401 relative_absolute_error 0.9042665152036697 relative_absolute_error 0.9224559584110452 relative_absolute_error 0.898281880780159 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.44709089884117686 root_mean_prior_squared_error 0.44709089884117686 root_mean_prior_squared_error 0.44709089884117686 root_mean_squared_error 0.44790692655503866 root_mean_squared_error 0.4415107353479803 root_mean_squared_error 0.428535622514014 root_mean_squared_error 0.4471698570005019 root_mean_squared_error 0.4504319943248375 root_mean_squared_error 0.451183882488981 root_mean_squared_error 0.4341422842857264 root_mean_squared_error 0.4211156148796931 root_mean_squared_error 0.42418731323216513 root_mean_squared_error 0.4182105455317358 root_relative_squared_error 0.9889850270003296 root_relative_squared_error 0.9748621435203516 root_relative_squared_error 0.9462129051280632 root_relative_squared_error 0.9823072496097518 root_relative_squared_error 0.9894732539652596 root_relative_squared_error 0.9911249422062519 root_relative_squared_error 0.9536893118793742 root_relative_squared_error 0.9419015595512913 root_relative_squared_error 0.9487719708265681 root_relative_squared_error 0.9354038443092969 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 0.48179271708683474 [0.904762,0.058824] unweighted_recall 0.5175070028011204 [0.97619,0.058824] unweighted_recall 0.5 [1,0] unweighted_recall 0.5516499282639885 [0.926829,0.176471] unweighted_recall 0.49282639885222385 [0.926829,0.058824] unweighted_recall 0.4878048780487805 [0.97561,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 74.44000000000095 usercpu_time_millis 68.06999999999874 usercpu_time_millis 80.57799999999915 usercpu_time_millis 75.21999999999984 usercpu_time_millis 71.20800000000216 usercpu_time_millis 85.48600000000128 usercpu_time_millis 81.40599999999942 usercpu_time_millis 78.99399999999979 usercpu_time_millis 87.5900000000005 usercpu_time_millis 94.33800000000048 usercpu_time_millis_testing 2.532000000000423 usercpu_time_millis_testing 2.6359999999989725 usercpu_time_millis_testing 2.61399999999945 usercpu_time_millis_testing 2.7740000000004983 usercpu_time_millis_testing 2.400000000001512 usercpu_time_millis_testing 2.5900000000014245 usercpu_time_millis_testing 2.4160000000001958 usercpu_time_millis_testing 2.62999999999991 usercpu_time_millis_testing 2.404000000000295 usercpu_time_millis_testing 2.6159999999997297 usercpu_time_millis_training 71.90800000000053 usercpu_time_millis_training 65.43399999999977 usercpu_time_millis_training 77.9639999999997 usercpu_time_millis_training 72.44599999999934 usercpu_time_millis_training 68.80800000000065 usercpu_time_millis_training 82.89599999999986 usercpu_time_millis_training 78.98999999999923 usercpu_time_millis_training 76.36399999999988 usercpu_time_millis_training 85.1860000000002 usercpu_time_millis_training 91.72200000000075 wall_clock_time_millis 37.83988952636719 wall_clock_time_millis 34.12508964538574 wall_clock_time_millis 40.66324234008789 wall_clock_time_millis 37.871360778808594 wall_clock_time_millis 35.69197654724121 wall_clock_time_millis 42.832374572753906 wall_clock_time_millis 40.85683822631836 wall_clock_time_millis 39.563655853271484 wall_clock_time_millis 43.87497901916504 wall_clock_time_millis 47.36590385437012 wall_clock_time_millis_testing 1.2691020965576172 wall_clock_time_millis_testing 1.3210773468017578 wall_clock_time_millis_testing 1.3110637664794922 wall_clock_time_millis_testing 1.3921260833740234 wall_clock_time_millis_testing 1.2030601501464844 wall_clock_time_millis_testing 1.3003349304199219 wall_clock_time_millis_testing 1.2121200561523438 wall_clock_time_millis_testing 1.3179779052734375 wall_clock_time_millis_testing 1.2049674987792969 wall_clock_time_millis_testing 1.3120174407958984 wall_clock_time_millis_training 36.57078742980957 wall_clock_time_millis_training 32.804012298583984 wall_clock_time_millis_training 39.3521785736084 wall_clock_time_millis_training 36.47923469543457 wall_clock_time_millis_training 34.48891639709473 wall_clock_time_millis_training 41.532039642333984 wall_clock_time_millis_training 39.644718170166016 wall_clock_time_millis_training 38.24567794799805 wall_clock_time_millis_training 42.67001152038574 wall_clock_time_millis_training 46.05388641357422 weighted_recall 0.6610169491525424 [0.904762,0.058824] weighted_recall 0.711864406779661 [0.97619,0.058824] weighted_recall 0.711864406779661 [1,0] weighted_recall 0.7068965517241379 [0.926829,0.176471] weighted_recall 0.6724137931034483 [0.926829,0.058824] weighted_recall 0.6896551724137931 [0.97561,0] weighted_recall 0.7068965517241379 [1,0] weighted_recall 0.7241379310344828 [1,0] weighted_recall 0.7241379310344828 [1,0] weighted_recall 0.7241379310344828 [1,0]