10327867 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) 8183520 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 0.36462383208503985 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.19374891263436655 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.16256701488963904 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 18628 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 21577420 description https://api.openml.org/data/download/21577420/description.xml -1 21577421 predictions https://api.openml.org/data/download/21577421/predictions.arff area_under_roc_curve 0.6191216311555424 [0.587011,0.48754,0.815844,0.540105,0.54266,0.489032,0.71308] average_cost 0 f_measure 0.41689080526003497 [0.356021,0,0.705882,0.4,0.15859,0,0.504249] kappa 0.24893052348279698 kb_relative_information_score 0.29946479695640044 mean_absolute_error 0.164569073378963 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.4188278822725596 [0.307414,0,0.705882,0.398818,0.26087,0,0.546012] predictive_accuracy 0.42400824317362185 prior_entropy 2.4106995883230287 recall 0.42400824317362185 [0.422886,0,0.705882,0.401189,0.113924,0,0.468421] relative_absolute_error 0.7401557890729965 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.4056711394454417 root_relative_squared_error 1.21690236421555 total_cost 0 area_under_roc_curve 0.6259065501103975 [0.614824,0.481579,0.864113,0.516091,0.491667,0.481283,0.740431] area_under_roc_curve 0.5970163976198445 [0.553085,0.489418,0.775352,0.501116,0.556882,0.494652,0.763759] area_under_roc_curve 0.6169706243490436 [0.59237,0.494709,0.801075,0.548786,0.579705,0.486631,0.646466] area_under_roc_curve 0.6189333772543802 [0.598864,0.484127,0.794541,0.551704,0.505969,0.489305,0.719699] area_under_roc_curve 0.5957759914624081 [0.559578,0.484127,0.736973,0.512488,0.582514,0.494652,0.758045] area_under_roc_curve 0.6150189765671528 [0.563636,0.478723,0.813896,0.55976,0.540028,0.491979,0.661353] area_under_roc_curve 0.636241608768566 [0.591396,0.492021,0.874773,0.568457,0.554073,0.486631,0.649925] area_under_roc_curve 0.6352881283922357 [0.57289,0.492021,0.849132,0.560172,0.548455,0.491979,0.763759] area_under_roc_curve 0.6304454416632281 [0.584903,0.486702,0.871629,0.552298,0.545646,0.489305,0.675639] area_under_roc_curve 0.6188408620233506 [0.639123,0.492021,0.775434,0.528264,0.516574,0.483871,0.751729] 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 0.4061178734565831 [0.395833,0,0.75,0.33871,0,0,0.540541] f_measure 0.3921059000048401 [0.307692,0,0.641026,0.366197,0.2,0,0.564103] f_measure 0.42770925901428325 [0.361702,0,0.693333,0.435374,0.25,0,0.413793] f_measure 0.41017170156331595 [0.369565,0,0.658537,0.409091,0.076923,0,0.529412] f_measure 0.4006638320740759 [0.293333,0,0.6,0.415094,0.26087,0,0.536585] f_measure 0.4066370510807103 [0.326531,0,0.710526,0.415385,0.153846,0,0.411765] f_measure 0.42557239405510405 [0.365385,0,0.780488,0.409836,0.190476,0,0.368421] f_measure 0.43187437257599287 [0.34,0,0.75,0.409449,0.173913,0,0.564103] f_measure 0.43395079917146406 [0.358491,0,0.794872,0.403101,0.166667,0,0.482759] f_measure 0.4211840812849022 [0.424242,0,0.657534,0.391304,0.090909,0,0.606061] kappa 0.26098873210841533 kappa 0.21209999299768925 kappa 0.2469209866958394 kappa 0.244694046306505 kappa 0.21068459225190164 kappa 0.23433317317592145 kappa 0.27631759069130735 kappa 0.27965344151825616 kappa 0.2694420452582484 kappa 0.2511475865906245 kb_relative_information_score 0.3055994901036822 kb_relative_information_score 0.28171752303279407 kb_relative_information_score 0.3021141452315074 kb_relative_information_score 0.29124544734999214 kb_relative_information_score 0.2823698398877755 kb_relative_information_score 0.27772389427941035 kb_relative_information_score 0.31336838086521335 kb_relative_information_score 0.3254151373775001 kb_relative_information_score 0.3123165567691569 kb_relative_information_score 0.3024814986199607 mean_absolute_error 0.1641025641025639 mean_absolute_error 0.17083946980854178 mean_absolute_error 0.16200294550809996 mean_absolute_error 0.16642120765832089 mean_absolute_error 0.16936671575846815 mean_absolute_error 0.16936671575846815 mean_absolute_error 0.16053019145802633 mean_absolute_error 0.1590574374079527 mean_absolute_error 0.16053019145802633 mean_absolute_error 0.1634756995581736 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] precision 0.3943764227974754 [0.345455,0,0.6875,0.368421,0,0,0.555556] precision 0.4028694158075602 [0.28,0,0.641026,0.346667,0.5,0,0.55] precision 0.4417709435913795 [0.314815,0,0.722222,0.405063,0.375,0,0.6] precision 0.4085195627316821 [0.326923,0,0.627907,0.421875,0.1,0,0.6] precision 0.41240859240526684 [0.314286,0,0.677419,0.362637,0.428571,0,0.5] precision 0.4137881164898584 [0.275862,0,0.72973,0.428571,0.2,0,0.466667] precision 0.43687010963143785 [0.296875,0,0.744186,0.454545,0.4,0,0.368421] precision 0.43260144641210774 [0.283333,0,0.731707,0.433333,0.285714,0,0.55] precision 0.45315425623041183 [0.287879,0,0.794872,0.419355,0.25,0,0.7] precision 0.4276281384227909 [0.355932,0,0.705882,0.380282,0.142857,0,0.714286] predictive_accuracy 0.4256410256410256 predictive_accuracy 0.4020618556701031 predictive_accuracy 0.4329896907216495 predictive_accuracy 0.4175257731958763 predictive_accuracy 0.4072164948453608 predictive_accuracy 0.4072164948453608 predictive_accuracy 0.4381443298969072 predictive_accuracy 0.44329896907216493 predictive_accuracy 0.4381443298969072 predictive_accuracy 0.42783505154639173 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 0.4256410256410256 [0.463415,0,0.825,0.313433,0,0,0.526316] recall 0.4020618556701031 [0.341463,0,0.641026,0.38806,0.125,0,0.578947] recall 0.4329896907216495 [0.425,0,0.666667,0.470588,0.1875,0,0.315789] recall 0.4175257731958763 [0.425,0,0.692308,0.397059,0.0625,0,0.473684] recall 0.4072164948453608 [0.275,0,0.538462,0.485294,0.1875,0,0.578947] recall 0.4072164948453608 [0.4,0,0.692308,0.402985,0.125,0,0.368421] recall 0.4381443298969072 [0.475,0,0.820513,0.373134,0.125,0,0.368421] recall 0.44329896907216493 [0.425,0,0.769231,0.38806,0.125,0,0.578947] recall 0.4381443298969072 [0.475,0,0.794872,0.38806,0.125,0,0.368421] recall 0.42783505154639173 [0.525,0,0.615385,0.402985,0.066667,0,0.526316] relative_absolute_error 0.7380260536294772 relative_absolute_error 0.7686535432803012 relative_absolute_error 0.7295681425088855 relative_absolute_error 0.7494654554864006 relative_absolute_error 0.762730330804744 relative_absolute_error 0.7611288163464991 relative_absolute_error 0.7214177476675513 relative_absolute_error 0.71479923622106 relative_absolute_error 0.7214177476675513 relative_absolute_error 0.7344401722755853 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 0.4050957468334664 root_mean_squared_error 0.41332731558480595 root_mean_squared_error 0.40249589502018523 root_mean_squared_error 0.40794755503412555 root_mean_squared_error 0.4115418760690923 root_mean_squared_error 0.4115418760690923 root_mean_squared_error 0.40066219120104946 root_mean_squared_error 0.39882005642639473 root_mean_squared_error 0.40066219120104946 root_mean_squared_error 0.40432128259364924 root_relative_squared_error 1.2151243115310164 root_relative_squared_error 1.2403473580302231 root_relative_squared_error 1.2089593329173511 root_relative_squared_error 1.225334245892339 root_relative_squared_error 1.2361303509321342 root_relative_squared_error 1.2335332183235388 root_relative_squared_error 1.2009230431019784 root_relative_squared_error 1.1954015285993227 root_relative_squared_error 1.2009230431019784 root_relative_squared_error 1.2115368054997135 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 334.74366099835606 usercpu_time_millis 327.78185999632115 usercpu_time_millis 324.6406600010232 usercpu_time_millis 316.1318689963082 usercpu_time_millis 302.6413060069899 usercpu_time_millis 326.32275100331753 usercpu_time_millis 317.67172100080643 usercpu_time_millis 319.30304699926637 usercpu_time_millis 333.09313200152246 usercpu_time_millis 322.73752599576255 usercpu_time_millis_testing 31.2110049999319 usercpu_time_millis_testing 30.08124299958581 usercpu_time_millis_testing 30.316698997921776 usercpu_time_millis_testing 29.6606999982032 usercpu_time_millis_testing 28.852041003119666 usercpu_time_millis_testing 30.536013000528328 usercpu_time_millis_testing 30.261717998655513 usercpu_time_millis_testing 30.59181500429986 usercpu_time_millis_testing 30.839225997624453 usercpu_time_millis_testing 29.706793000514153 usercpu_time_millis_training 303.53265599842416 usercpu_time_millis_training 297.70061699673533 usercpu_time_millis_training 294.32396100310143 usercpu_time_millis_training 286.471168998105 usercpu_time_millis_training 273.78926500387024 usercpu_time_millis_training 295.7867380027892 usercpu_time_millis_training 287.4100030021509 usercpu_time_millis_training 288.7112319949665 usercpu_time_millis_training 302.253906003898 usercpu_time_millis_training 293.0307329952484 wall_clock_time_millis 462.77308464050293 wall_clock_time_millis 327.927827835083 wall_clock_time_millis 324.704647064209 wall_clock_time_millis 316.16759300231934 wall_clock_time_millis 302.6926517486572 wall_clock_time_millis 326.36260986328125 wall_clock_time_millis 317.72375106811523 wall_clock_time_millis 319.3676471710205 wall_clock_time_millis 333.1332206726074 wall_clock_time_millis 322.77560234069824 wall_clock_time_millis_testing 31.224489212036133 wall_clock_time_millis_testing 30.093669891357422 wall_clock_time_millis_testing 30.32827377319336 wall_clock_time_millis_testing 29.67357635498047 wall_clock_time_millis_testing 28.864383697509766 wall_clock_time_millis_testing 30.55119514465332 wall_clock_time_millis_testing 30.2736759185791 wall_clock_time_millis_testing 30.603408813476562 wall_clock_time_millis_testing 30.852794647216797 wall_clock_time_millis_testing 29.720067977905273 wall_clock_time_millis_training 431.5485954284668 wall_clock_time_millis_training 297.8341579437256 wall_clock_time_millis_training 294.3763732910156 wall_clock_time_millis_training 286.49401664733887 wall_clock_time_millis_training 273.82826805114746 wall_clock_time_millis_training 295.81141471862793 wall_clock_time_millis_training 287.45007514953613 wall_clock_time_millis_training 288.76423835754395 wall_clock_time_millis_training 302.2804260253906 wall_clock_time_millis_training 293.05553436279297