10328125 8323 Heinrich Peters 15 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183776 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 9752.749987151079 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.10517868292249122 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.05040735556381989 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 29404 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. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 21577936 description https://api.openml.org/data/download/21577936/description.xml -1 21577937 predictions https://api.openml.org/data/download/21577937/predictions.arff area_under_roc_curve 0.4279747775824892 [0.427975,0.427975] average_cost 0 f_measure 0.48329267187177616 [0.606325,0.24948] kappa -0.14419218369540077 kb_relative_information_score -0.19222727081599264 mean_absolute_error 0.5164520743919886 mean_prior_absolute_error 0.4519499019385762 number_of_instances 699 [458,241] precision 0.4830391065979723 [0.605664,0.25] predictive_accuracy 0.48354792560801146 prior_entropy 0.92931856324281 recall 0.48354792560801146 [0.606987,0.248963] relative_absolute_error 1.1427197399020097 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.7186460007486222 root_relative_squared_error 1.511996340424088 total_cost 0 area_under_roc_curve 0.4628623188405797 [0.462862,0.462862] area_under_roc_curve 0.38768115942028986 [0.387681,0.387681] area_under_roc_curve 0.35507246376811596 [0.355072,0.355072] area_under_roc_curve 0.41847826086956524 [0.418478,0.418478] area_under_roc_curve 0.4710144927536232 [0.471014,0.471014] area_under_roc_curve 0.42934782608695654 [0.429348,0.429348] area_under_roc_curve 0.43931159420289856 [0.439312,0.439312] area_under_roc_curve 0.3958333333333333 [0.395833,0.395833] area_under_roc_curve 0.5577777777777778 [0.557778,0.557778] area_under_roc_curve 0.36111111111111105 [0.361111,0.361111] 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 0.5241982507288628 [0.673469,0.238095] f_measure 0.4511166908946742 [0.595745,0.173913] f_measure 0.4170441803094865 [0.549451,0.163265] f_measure 0.473917918815878 [0.593407,0.244898] f_measure 0.5186031746031746 [0.622222,0.32] f_measure 0.4857142857142857 [0.608696,0.25] f_measure 0.4902857142857142 [0.6,0.28] f_measure 0.4403839055001845 [0.534884,0.259259] f_measure 0.6030075187969923 [0.715789,0.4] f_measure 0.42028985507246375 [0.555556,0.166667] kappa -0.07899807321772656 kappa -0.2292051756007395 kappa -0.28699551569506715 kappa -0.1614349775784753 kappa -0.056838365896980665 kappa -0.14130434782608706 kappa -0.11900532859680295 kappa -0.19658119658119674 kappa 0.12093023255813971 kappa -0.27777777777777785 kb_relative_information_score -0.057330716303909485 kb_relative_information_score -0.2555802256108926 kb_relative_information_score -0.35470498026438413 kb_relative_information_score -0.22253864072639548 kb_relative_information_score -0.12341388607290392 kb_relative_information_score -0.1894970558418983 kb_relative_information_score -0.1894970558418982 kb_relative_information_score -0.32166339537988686 kb_relative_information_score 0.12038812540041272 kb_relative_information_score -0.33421728615252294 mean_absolute_error 0.45714285714285713 mean_absolute_error 0.5428571428571428 mean_absolute_error 0.5857142857142857 mean_absolute_error 0.5285714285714286 mean_absolute_error 0.4857142857142857 mean_absolute_error 0.5142857142857142 mean_absolute_error 0.5142857142857142 mean_absolute_error 0.5714285714285714 mean_absolute_error 0.38571428571428573 mean_absolute_error 0.5797101449275363 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.5122710622710622 [0.634615,0.277778] precision 0.4456709956709957 [0.583333,0.181818] precision 0.41993650793650794 [0.555556,0.16] precision 0.4765714285714286 [0.6,0.24] precision 0.5236763236763237 [0.636364,0.307692] precision 0.4857142857142857 [0.608696,0.25] precision 0.4955544455544455 [0.613636,0.269231] precision 0.4578571428571428 [0.575,0.233333] precision 0.5978571428571429 [0.68,0.45] precision 0.42028985507246375 [0.555556,0.166667] predictive_accuracy 0.5428571428571428 predictive_accuracy 0.45714285714285713 predictive_accuracy 0.4142857142857143 predictive_accuracy 0.4714285714285715 predictive_accuracy 0.5142857142857143 predictive_accuracy 0.4857142857142857 predictive_accuracy 0.4857142857142857 predictive_accuracy 0.42857142857142855 predictive_accuracy 0.6142857142857143 predictive_accuracy 0.42028985507246375 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 recall 0.5428571428571428 [0.717391,0.208333] recall 0.45714285714285713 [0.608696,0.166667] recall 0.4142857142857143 [0.543478,0.166667] recall 0.4714285714285714 [0.586957,0.25] recall 0.5142857142857142 [0.608696,0.333333] recall 0.4857142857142857 [0.608696,0.25] recall 0.4857142857142857 [0.586957,0.291667] recall 0.42857142857142855 [0.5,0.291667] recall 0.6142857142857143 [0.755556,0.36] recall 0.42028985507246375 [0.555556,0.166667] relative_absolute_error 1.012822828246343 relative_absolute_error 1.2027271085425322 relative_absolute_error 1.297679248690627 relative_absolute_error 1.171076395159834 relative_absolute_error 1.0761242550117394 relative_absolute_error 1.1394256817771358 relative_absolute_error 1.1394256817771358 relative_absolute_error 1.2660285353079286 relative_absolute_error 0.8462776659959761 relative_absolute_error 1.28001460786999 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.6761234037828132 root_mean_squared_error 0.7367883976130072 root_mean_squared_error 0.7653197277702214 root_mean_squared_error 0.7270291799999699 root_mean_squared_error 0.6969320524371696 root_mean_squared_error 0.7171371656006361 root_mean_squared_error 0.7171371656006361 root_mean_squared_error 0.7559289460184544 root_mean_squared_error 0.6210590034081188 root_mean_squared_error 0.7613869876268811 root_relative_squared_error 1.4244069582797558 root_relative_squared_error 1.5522114964044034 root_relative_squared_error 1.6123192000832531 root_relative_squared_error 1.53165149597016 root_relative_squared_error 1.4682450857130507 root_relative_squared_error 1.5108117290533787 root_relative_squared_error 1.5108117290533787 root_relative_squared_error 1.5925353931686206 root_relative_squared_error 1.29574713795748 root_relative_squared_error 1.5985865975150824 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 13.61742500012042 usercpu_time_millis 13.653108006110415 usercpu_time_millis 13.259192994155455 usercpu_time_millis 15.063942002598196 usercpu_time_millis 13.816104001307394 usercpu_time_millis 13.846886999090202 usercpu_time_millis 13.616971002193168 usercpu_time_millis 13.331949994608294 usercpu_time_millis 13.474601997586433 usercpu_time_millis 13.511767007003073 usercpu_time_millis_testing 1.4057820008019917 usercpu_time_millis_testing 1.4160830032778904 usercpu_time_millis_testing 1.4376039980561472 usercpu_time_millis_testing 1.5327930013881996 usercpu_time_millis_testing 1.478140002291184 usercpu_time_millis_testing 1.4527660023304634 usercpu_time_millis_testing 1.4780780038563535 usercpu_time_millis_testing 1.4424609980778769 usercpu_time_millis_testing 1.4617199994972907 usercpu_time_millis_testing 1.4200080040609464 usercpu_time_millis_training 12.211642999318428 usercpu_time_millis_training 12.237025002832524 usercpu_time_millis_training 11.821588996099308 usercpu_time_millis_training 13.531149001209997 usercpu_time_millis_training 12.33796399901621 usercpu_time_millis_training 12.394120996759739 usercpu_time_millis_training 12.138892998336814 usercpu_time_millis_training 11.889488996530417 usercpu_time_millis_training 12.012881998089142 usercpu_time_millis_training 12.091759002942126 wall_clock_time_millis 13.634443283081055 wall_clock_time_millis 13.666391372680664 wall_clock_time_millis 13.303518295288086 wall_clock_time_millis 15.105247497558594 wall_clock_time_millis 13.82589340209961 wall_clock_time_millis 13.858795166015625 wall_clock_time_millis 13.631105422973633 wall_clock_time_millis 13.346433639526367 wall_clock_time_millis 13.491630554199219 wall_clock_time_millis 13.527631759643555 wall_clock_time_millis_testing 1.4145374298095703 wall_clock_time_millis_testing 1.422882080078125 wall_clock_time_millis_testing 1.4462471008300781 wall_clock_time_millis_testing 1.5535354614257812 wall_clock_time_millis_testing 1.4853477478027344 wall_clock_time_millis_testing 1.4605522155761719 wall_clock_time_millis_testing 1.4863014221191406 wall_clock_time_millis_testing 1.4503002166748047 wall_clock_time_millis_testing 1.4715194702148438 wall_clock_time_millis_testing 1.428365707397461 wall_clock_time_millis_training 12.219905853271484 wall_clock_time_millis_training 12.243509292602539 wall_clock_time_millis_training 11.857271194458008 wall_clock_time_millis_training 13.551712036132812 wall_clock_time_millis_training 12.340545654296875 wall_clock_time_millis_training 12.398242950439453 wall_clock_time_millis_training 12.144804000854492 wall_clock_time_millis_training 11.896133422851562 wall_clock_time_millis_training 12.020111083984375 wall_clock_time_millis_training 12.099266052246094