10327753 8323 Heinrich Peters 146817 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183406 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 1.0043634737642537 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6405586442727347 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0011289263826813015 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 32419 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 40982 steel-plates-fault https://www.openml.org/data/download/18151921/php5s7Ep8 -1 21577192 description https://api.openml.org/data/download/21577192/description.xml -1 21577193 predictions https://api.openml.org/data/download/21577193/predictions.arff area_under_roc_curve 0.6911500240636649 [0.643163,0.5,0.907882,0.660522,0.5,0.5,0.741881] average_cost 0 kappa 0.4151664252096849 kb_relative_information_score 0.4403984718917662 mean_absolute_error 0.1182012217560895 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] predictive_accuracy 0.5862957238536837 prior_entropy 2.4106995883230287 recall 0.5862957238536837 [0.338308,0,0.826087,0.870728,0,0,0.489474] relative_absolute_error 0.5316145783771197 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.34380404557842176 root_relative_squared_error 1.0313180189825142 total_cost 0 area_under_roc_curve 0.6994635656682029 [0.6309,0.5,0.893548,0.692456,0.5,0.5,0.757476] area_under_roc_curve 0.6935629441006781 [0.64132,0.5,0.980728,0.650194,0.5,0.5,0.655038] area_under_roc_curve 0.7200786668528605 [0.677273,0.5,0.89421,0.701914,0.5,0.5,0.842105] area_under_roc_curve 0.6735837639063446 [0.648539,0.5,0.874938,0.626634,0.5,0.5,0.736842] area_under_roc_curve 0.6826025229251036 [0.636526,0.5,0.9134,0.637372,0.5,0.5,0.736842] area_under_roc_curve 0.6763999221504936 [0.593506,0.5,0.907031,0.659126,0.5,0.5,0.707669] area_under_roc_curve 0.6968084341363487 [0.673052,0.5,0.929446,0.644377,0.5,0.5,0.754586] area_under_roc_curve 0.6959888371724796 [0.643019,0.5,0.868569,0.694559,0.5,0.5,0.757444] area_under_roc_curve 0.6819010123734532 [0.651786,0.5,0.923077,0.638383,0.5,0.5,0.681353] area_under_roc_curve 0.6912726085192431 [0.636526,0.5,0.89421,0.660771,0.5,0.5,0.789474] 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 0.43174176193678543 kappa 0.4185523752435187 kappa 0.47593141485011065 kappa 0.3800285735769606 kappa 0.40008296564468065 kappa 0.3869174535485836 kappa 0.4220244225393557 kappa 0.4231189069145933 kappa 0.3957520264184929 kappa 0.41717676217657446 kb_relative_information_score 0.45183455625274843 kb_relative_information_score 0.43962581120325306 kb_relative_information_score 0.4915247365141132 kb_relative_information_score 0.4179544666770269 kb_relative_information_score 0.43295755362011434 kb_relative_information_score 0.4174073120674876 kb_relative_information_score 0.4443149529777555 kb_relative_information_score 0.4432530983013509 kb_relative_information_score 0.4224894808209262 kb_relative_information_score 0.44276057324162355 mean_absolute_error 0.11428571428571427 mean_absolute_error 0.11782032400589099 mean_absolute_error 0.10603829160530193 mean_absolute_error 0.12518409425625915 mean_absolute_error 0.12076583210603825 mean_absolute_error 0.12223858615611188 mean_absolute_error 0.11929307805596462 mean_absolute_error 0.11634756995581735 mean_absolute_error 0.12223858615611188 mean_absolute_error 0.11782032400589099 mean_prior_absolute_error 0.22235334822603825 mean_prior_absolute_error 0.2222580918309025 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225854545124641 number_of_instances 195 [41,5,40,67,15,8,19] number_of_instances 194 [41,5,39,67,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,15,8,19] predictive_accuracy 0.6 predictive_accuracy 0.5876288659793815 predictive_accuracy 0.6288659793814433 predictive_accuracy 0.5618556701030928 predictive_accuracy 0.577319587628866 predictive_accuracy 0.5721649484536083 predictive_accuracy 0.5824742268041238 predictive_accuracy 0.5927835051546392 predictive_accuracy 0.5721649484536083 predictive_accuracy 0.5876288659793815 prior_entropy 2.4086971702017688 prior_entropy 2.4034011426545026 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4238668101950935 recall 0.6 [0.268293,0,0.8,0.955224,0,0,0.526316] recall 0.5876288659793815 [0.341463,0,0.974359,0.835821,0,0,0.315789] recall 0.6288659793814433 [0.4,0,0.794872,0.911765,0,0,0.684211] recall 0.5618556701030928 [0.375,0,0.769231,0.808824,0,0,0.473684] recall 0.5773195876288659 [0.325,0,0.846154,0.838235,0,0,0.473684] recall 0.5721649484536082 [0.2,0,0.820513,0.940299,0,0,0.421053] recall 0.5824742268041238 [0.45,0,0.871795,0.761194,0,0,0.526316] recall 0.5927835051546392 [0.325,0,0.74359,0.940299,0,0,0.526316] recall 0.5721649484536082 [0.375,0,0.846154,0.835821,0,0,0.368421] recall 0.5876288659793815 [0.325,0,0.794872,0.880597,0,0,0.578947] relative_absolute_error 0.5139824302062436 relative_absolute_error 0.5301058919174495 relative_absolute_error 0.47753551146036194 relative_absolute_error 0.5637572010295936 relative_absolute_error 0.5438598880520786 relative_absolute_error 0.549336450058778 relative_absolute_error 0.5360994271657955 relative_absolute_error 0.5228624042728128 relative_absolute_error 0.549336450058778 relative_absolute_error 0.5293262502887106 root_mean_prior_squared_error 0.33337802806616484 root_mean_prior_squared_error 0.3332351320046385 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.33372595925955534 root_mean_squared_error 0.3380617018914066 root_mean_squared_error 0.34324965259398443 root_mean_squared_error 0.3256352124775543 root_mean_squared_error 0.3538136434003911 root_mean_squared_error 0.3475137869294372 root_mean_squared_error 0.3496263522049102 root_mean_squared_error 0.34538830040400126 root_mean_squared_error 0.34109759593966266 root_mean_squared_error 0.3496263522049102 root_mean_squared_error 0.34324965259398443 root_relative_squared_error 1.014049137708356 root_relative_squared_error 1.0300524153293855 root_relative_squared_error 0.9780962591718376 root_relative_squared_error 1.0627345808854594 root_relative_squared_error 1.0438119772742658 root_relative_squared_error 1.0479509972725998 root_relative_squared_error 1.0352480914897644 root_relative_squared_error 1.022387367479549 root_relative_squared_error 1.0479509972725998 root_relative_squared_error 1.0285374663558076 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 316.85748299059924 usercpu_time_millis 315.14684700232465 usercpu_time_millis 310.78209699626314 usercpu_time_millis 309.95611799153266 usercpu_time_millis 314.73355799971614 usercpu_time_millis 311.72235600388376 usercpu_time_millis 317.26883300143527 usercpu_time_millis 311.3654859989765 usercpu_time_millis 314.7682580020046 usercpu_time_millis 311.0417870047968 usercpu_time_millis_testing 30.171510996297002 usercpu_time_millis_testing 27.45382000284735 usercpu_time_millis_testing 27.265240998531226 usercpu_time_millis_testing 27.371396994567476 usercpu_time_millis_testing 27.355407997674774 usercpu_time_millis_testing 27.333231999364216 usercpu_time_millis_testing 27.40610700129764 usercpu_time_millis_testing 27.742516998841893 usercpu_time_millis_testing 27.34803600469604 usercpu_time_millis_testing 27.735625000786968 usercpu_time_millis_training 286.68597199430224 usercpu_time_millis_training 287.6930269994773 usercpu_time_millis_training 283.5168559977319 usercpu_time_millis_training 282.5847209969652 usercpu_time_millis_training 287.37815000204137 usercpu_time_millis_training 284.38912400451954 usercpu_time_millis_training 289.8627260001376 usercpu_time_millis_training 283.6229690001346 usercpu_time_millis_training 287.42022199730854 usercpu_time_millis_training 283.3061620040098 wall_clock_time_millis 460.91151237487793 wall_clock_time_millis 315.2031898498535 wall_clock_time_millis 310.8325004577637 wall_clock_time_millis 310.00375747680664 wall_clock_time_millis 314.7745132446289 wall_clock_time_millis 311.76137924194336 wall_clock_time_millis 317.46554374694824 wall_clock_time_millis 311.4337921142578 wall_clock_time_millis 314.84389305114746 wall_clock_time_millis 311.1867904663086 wall_clock_time_millis_testing 30.18474578857422 wall_clock_time_millis_testing 27.46868133544922 wall_clock_time_millis_testing 27.279138565063477 wall_clock_time_millis_testing 27.394771575927734 wall_clock_time_millis_testing 27.369022369384766 wall_clock_time_millis_testing 27.347326278686523 wall_clock_time_millis_testing 27.4200439453125 wall_clock_time_millis_testing 27.759552001953125 wall_clock_time_millis_testing 27.36186981201172 wall_clock_time_millis_testing 27.748823165893555 wall_clock_time_millis_training 430.7267665863037 wall_clock_time_millis_training 287.7345085144043 wall_clock_time_millis_training 283.5533618927002 wall_clock_time_millis_training 282.6089859008789 wall_clock_time_millis_training 287.40549087524414 wall_clock_time_millis_training 284.41405296325684 wall_clock_time_millis_training 290.04549980163574 wall_clock_time_millis_training 283.6742401123047 wall_clock_time_millis_training 287.48202323913574 wall_clock_time_millis_training 283.43796730041504