10326673 8323 Heinrich Peters 9981 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182344 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 4.307035567982047 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.09908308412988551 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 48834 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. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 21575032 description https://api.openml.org/data/download/21575032/description.xml -1 21575033 predictions https://api.openml.org/data/download/21575033/predictions.arff area_under_roc_curve 0.6484375 [0.658333,0.652083,0.616667,0.623958,0.691146,0.611458,0.645833,0.711458,0.625] average_cost 0 f_measure 0.42897783934400163 [0.481013,0.264739,0.378378,0.394737,0.550898,0.362416,0.439024,0.589595,0.4] kappa 0.296875 kb_relative_information_score 0.34149664397324725 mean_absolute_error 0.13888888888889098 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8644959783101414 [1,0.15276,1,0.9375,0.978723,0.931034,0.818182,0.962264,1] predictive_accuracy 0.375 prior_entropy 3.1699250014422624 recall 0.375 [0.316667,0.991667,0.233333,0.25,0.383333,0.225,0.3,0.425,0.25] relative_absolute_error 0.7031250000000279 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.3726779962499677 root_relative_squared_error 1.1858541225631654 total_cost 0 area_under_roc_curve 0.6510416666666666 [0.583333,0.661458,0.541667,0.666667,0.791667,0.666667,0.65625,0.708333,0.583333] area_under_roc_curve 0.609375 [0.666667,0.619792,0.666667,0.619792,0.583333,0.541667,0.536458,0.708333,0.541667] area_under_roc_curve 0.6197916666666666 [0.541667,0.583333,0.625,0.583333,0.75,0.583333,0.541667,0.786458,0.583333] area_under_roc_curve 0.671875 [0.625,0.677083,0.666667,0.583333,0.791667,0.541667,0.744792,0.708333,0.708333] area_under_roc_curve 0.6510416666666666 [0.625,0.666667,0.583333,0.708333,0.744792,0.5,0.703125,0.744792,0.583333] area_under_roc_curve 0.6510416666666666 [0.75,0.661458,0.583333,0.536458,0.666667,0.703125,0.666667,0.666667,0.625] area_under_roc_curve 0.6666666666666666 [0.666667,0.666667,0.666667,0.708333,0.541667,0.666667,0.708333,0.708333,0.666667] area_under_roc_curve 0.6302083333333334 [0.708333,0.635417,0.625,0.625,0.708333,0.578125,0.625,0.583333,0.583333] area_under_roc_curve 0.6614583333333334 [0.75,0.671875,0.583333,0.625,0.75,0.625,0.572917,0.708333,0.666667] area_under_roc_curve 0.671875 [0.666667,0.677083,0.625,0.583333,0.583333,0.708333,0.703125,0.791667,0.708333] 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 0.4182732767164766 [0.285714,0.269663,0.153846,0.5,0.736842,0.5,0.444444,0.588235,0.285714] f_measure 0.32743574564375044 [0.5,0.247423,0.5,0.375,0.285714,0.153846,0.142857,0.588235,0.153846] f_measure 0.35145341987447254 [0.153846,0.231579,0.4,0.285714,0.666667,0.285714,0.153846,0.7,0.285714] f_measure 0.4626135386521304 [0.4,0.27907,0.5,0.285714,0.736842,0.153846,0.631579,0.588235,0.588235] f_measure 0.4244951746824406 [0.666667,0.269663,0.285714,0.142857,0.5,0.555556,0.5,0.5,0.4] f_measure 0.4656977009918186 [0.5,0.272727,0.5,0.588235,0.153846,0.5,0.588235,0.588235,0.5] f_measure 0.38554277502963363 [0.588235,0.255319,0.4,0.4,0.588235,0.266667,0.4,0.285714,0.285714] f_measure 0.4481272202367537 [0.666667,0.275862,0.285714,0.4,0.666667,0.4,0.25,0.588235,0.5] f_measure 0.46881850976938216 [0.5,0.27907,0.4,0.285714,0.285714,0.588235,0.555556,0.736842,0.588235] kappa 0.30208333333333337 kappa 0.21875000000000006 kappa 0.23958333333333334 kappa 0.34375000000000006 kappa 0.30208333333333337 kappa 0.30208333333333337 kappa 0.3333333333333333 kappa 0.26041666666666674 kappa 0.3229166666666667 kappa 0.34375000000000006 kb_relative_information_score 0.3463744466104755 kb_relative_information_score 0.26832960441471176 kb_relative_information_score 0.2878408149636526 kb_relative_information_score 0.3853968677083578 kb_relative_information_score 0.3463744466104756 kb_relative_information_score 0.34637444661047573 kb_relative_information_score 0.37564126243388735 kb_relative_information_score 0.3073520255125937 kb_relative_information_score 0.3658856571594168 kb_relative_information_score 0.3853968677083578 mean_absolute_error 0.13786008230452654 mean_absolute_error 0.15432098765432073 mean_absolute_error 0.1502057613168722 mean_absolute_error 0.12962962962962946 mean_absolute_error 0.13786008230452654 mean_absolute_error 0.13786008230452654 mean_absolute_error 0.13168724279835373 mean_absolute_error 0.14609053497942362 mean_absolute_error 0.133744855967078 mean_absolute_error 0.12962962962962946 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] precision 0.8691678691678691 [1,0.155844,1,1,1,1,0.666667,1,1] precision 0.8212418300653594 [1,0.141176,1,0.75,1,1,0.5,1,1] precision 0.8897255689424364 [1,0.13253,1,1,1,1,1,0.875,1] precision 0.891033891033891 [1,0.162162,1,1,1,1,0.857143,1,1] precision 0.8321308321308322 [1,0.155844,1,0.5,1,0.833333,1,1,1] precision 0.9064327485380117 [1,0.157895,1,1,1,1,1,1,1] precision 0.8681120144534779 [1,0.146341,1,1,1,0.666667,1,1,1] precision 0.8511111111111112 [1,0.16,1,1,1,1,0.5,1,1] precision 0.8883883883883883 [1,0.162162,1,1,1,1,0.833333,1,1] predictive_accuracy 0.3796296296296296 predictive_accuracy 0.3055555555555556 predictive_accuracy 0.32407407407407407 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.3796296296296296 predictive_accuracy 0.3796296296296296 predictive_accuracy 0.4074074074074074 predictive_accuracy 0.3425925925925926 predictive_accuracy 0.39814814814814814 predictive_accuracy 0.41666666666666663 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 recall 0.37962962962962965 [0.166667,1,0.083333,0.333333,0.583333,0.333333,0.333333,0.416667,0.166667] recall 0.3055555555555556 [0.333333,1,0.333333,0.25,0.166667,0.083333,0.083333,0.416667,0.083333] recall 0.32407407407407407 [0.083333,0.916667,0.25,0.166667,0.5,0.166667,0.083333,0.583333,0.166667] recall 0.4166666666666667 [0.25,1,0.333333,0.166667,0.583333,0.083333,0.5,0.416667,0.416667] recall 0.37962962962962965 [0.25,1,0.166667,0.416667,0.5,0,0.416667,0.5,0.166667] recall 0.37962962962962965 [0.5,1,0.166667,0.083333,0.333333,0.416667,0.333333,0.333333,0.25] recall 0.4074074074074074 [0.333333,1,0.333333,0.416667,0.083333,0.333333,0.416667,0.416667,0.333333] recall 0.3425925925925926 [0.416667,1,0.25,0.25,0.416667,0.166667,0.25,0.166667,0.166667] recall 0.39814814814814814 [0.5,1,0.166667,0.25,0.5,0.25,0.166667,0.416667,0.333333] recall 0.4166666666666667 [0.333333,1,0.25,0.166667,0.166667,0.416667,0.416667,0.583333,0.416667] relative_absolute_error 0.6979166666666636 relative_absolute_error 0.7812499999999966 relative_absolute_error 0.7604166666666634 relative_absolute_error 0.6562499999999973 relative_absolute_error 0.6979166666666636 relative_absolute_error 0.6979166666666636 relative_absolute_error 0.6666666666666639 relative_absolute_error 0.73958333333333 relative_absolute_error 0.6770833333333305 relative_absolute_error 0.6562499999999973 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_squared_error 0.3712951417733964 root_mean_squared_error 0.39283710065919275 root_mean_squared_error 0.3875638803047469 root_mean_squared_error 0.36004114991154756 root_mean_squared_error 0.3712951417733964 root_mean_squared_error 0.3712951417733964 root_mean_squared_error 0.3628873693012113 root_mean_squared_error 0.38221791556574586 root_mean_squared_error 0.365711438113546 root_mean_squared_error 0.36004114991154756 root_relative_squared_error 1.1814539065631495 root_relative_squared_error 1.2499999999999973 root_relative_squared_error 1.233220715579059 root_relative_squared_error 1.145643923738958 root_relative_squared_error 1.1814539065631495 root_relative_squared_error 1.1814539065631495 root_relative_squared_error 1.1547005383792492 root_relative_squared_error 1.216209959943866 root_relative_squared_error 1.163686670314076 root_relative_squared_error 1.145643923738958 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 2725.184029004595 usercpu_time_millis 2704.0970679954626 usercpu_time_millis 2697.1163119960693 usercpu_time_millis 2697.0063379994826 usercpu_time_millis 2711.1718349988223 usercpu_time_millis 2712.8809269997873 usercpu_time_millis 2726.205230006599 usercpu_time_millis 2702.826469001593 usercpu_time_millis 2716.4542289974634 usercpu_time_millis 2700.7222970059956 usercpu_time_millis_testing 158.05970500514377 usercpu_time_millis_testing 156.6174229956232 usercpu_time_millis_testing 162.95136899861973 usercpu_time_millis_testing 153.56850899843266 usercpu_time_millis_testing 154.74182199977804 usercpu_time_millis_testing 160.3126150002936 usercpu_time_millis_testing 160.37089200108312 usercpu_time_millis_testing 155.4105620016344 usercpu_time_millis_testing 160.52785600186326 usercpu_time_millis_testing 165.9194120002212 usercpu_time_millis_training 2567.124323999451 usercpu_time_millis_training 2547.4796449998394 usercpu_time_millis_training 2534.1649429974495 usercpu_time_millis_training 2543.43782900105 usercpu_time_millis_training 2556.4300129990443 usercpu_time_millis_training 2552.5683119994937 usercpu_time_millis_training 2565.8343380055157 usercpu_time_millis_training 2547.4159069999587 usercpu_time_millis_training 2555.9263729956 usercpu_time_millis_training 2534.8028850057744 wall_clock_time_millis 2805.4754734039307 wall_clock_time_millis 2784.395217895508 wall_clock_time_millis 2745.4423904418945 wall_clock_time_millis 2961.3044261932373 wall_clock_time_millis 2867.5293922424316 wall_clock_time_millis 2745.6283569335938 wall_clock_time_millis 2758.9170932769775 wall_clock_time_millis 2739.9065494537354 wall_clock_time_millis 2806.5805435180664 wall_clock_time_millis 2700.946807861328 wall_clock_time_millis_testing 158.09059143066406 wall_clock_time_millis_testing 156.63814544677734 wall_clock_time_millis_testing 162.97483444213867 wall_clock_time_millis_testing 153.59139442443848 wall_clock_time_millis_testing 154.79612350463867 wall_clock_time_millis_testing 160.37440299987793 wall_clock_time_millis_testing 160.48860549926758 wall_clock_time_millis_testing 155.47561645507812 wall_clock_time_millis_testing 160.55035591125488 wall_clock_time_millis_testing 165.94243049621582 wall_clock_time_millis_training 2647.3848819732666 wall_clock_time_millis_training 2627.7570724487305 wall_clock_time_millis_training 2582.467555999756 wall_clock_time_millis_training 2807.713031768799 wall_clock_time_millis_training 2712.733268737793 wall_clock_time_millis_training 2585.253953933716 wall_clock_time_millis_training 2598.42848777771 wall_clock_time_millis_training 2584.430932998657 wall_clock_time_millis_training 2646.0301876068115 wall_clock_time_millis_training 2535.0043773651123