10329340 8323 Heinrich Peters 53 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184960 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 2.20249400482954 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0018193656589055621 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 24621 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. 54 vehicle https://www.openml.org/data/download/54/dataset_54_vehicle.arff -1 21580377 description https://api.openml.org/data/download/21580377/description.xml -1 21580378 predictions https://api.openml.org/data/download/21580378/predictions.arff area_under_roc_curve 0.7992536248665527 [0.653971,0.708296,0.923494,0.917109] average_cost 0 f_measure 0.678166197692439 [0.476471,0.568675,0.859574,0.813704] kappa 0.5985268337346885 kb_relative_information_score 0.637417867740383 mean_absolute_error 0.15070921985815602 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.6847607607819184 [0.632812,0.59596,0.801587,0.708955] predictive_accuracy 0.698581560283688 prior_entropy 1.9990667866719984 recall 0.6985815602836879 [0.382075,0.543779,0.926606,0.954774] relative_absolute_error 0.40206197040972264 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.3882128538033691 root_relative_squared_error 0.8967304769314437 total_cost 0 area_under_roc_curve 0.8046493437118436 [0.651414,0.747835,0.945527,0.873077] area_under_roc_curve 0.7962206196581196 [0.643229,0.731962,0.929654,0.880769] area_under_roc_curve 0.8279704670329671 [0.675223,0.762626,0.938672,0.938462] area_under_roc_curve 0.8034245268620268 [0.643229,0.762626,0.905844,0.903846] area_under_roc_curve 0.7805956196581196 [0.579985,0.685426,0.930736,0.930769] area_under_roc_curve 0.8042773199023199 [0.674851,0.746753,0.900072,0.898077] area_under_roc_curve 0.808824687856946 [0.648094,0.708211,0.944444,0.961538] area_under_roc_curve 0.8008072516641065 [0.677419,0.642857,0.920635,0.976562] area_under_roc_curve 0.8021873399897594 [0.753968,0.642857,0.891496,0.921875] area_under_roc_curve 0.7621287762416794 [0.587302,0.642857,0.928886,0.8875] 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 0.6881546696641965 [0.470588,0.634146,0.893617,0.75] f_measure 0.6701469216758865 [0.451613,0.604651,0.857143,0.765957] f_measure 0.726967624259006 [0.514286,0.651163,0.909091,0.833333] f_measure 0.6816743470112695 [0.451613,0.651163,0.807692,0.818182] f_measure 0.6398778005825986 [0.322581,0.533333,0.888889,0.816327] f_measure 0.6895950638319844 [0.516129,0.622222,0.844444,0.77551] f_measure 0.6958314945725332 [0.473684,0.571429,0.888889,0.883721] f_measure 0.6812911986500025 [0.52381,0.457143,0.833333,0.930233] f_measure 0.6832801745845223 [0.648649,0.457143,0.826087,0.8] f_measure 0.6104376027458506 [0.333333,0.465116,0.857143,0.782609] kappa 0.6082227138643068 kappa 0.592175678169404 kappa 0.655299539170507 kappa 0.6074265656752263 kappa 0.561128526645768 kappa 0.6081504702194358 kappa 0.6199095022624435 kappa 0.6033994334277619 kappa 0.6036240090600226 kappa 0.5237195237195237 kb_relative_information_score 0.6455932351399764 kb_relative_information_score 0.6313929606649613 kb_relative_information_score 0.6889458201383358 kb_relative_information_score 0.6454631321641615 kb_relative_information_score 0.6040043792398747 kb_relative_information_score 0.6461373405253379 kb_relative_information_score 0.656510995664966 kb_relative_information_score 0.6427971561799153 kb_relative_information_score 0.6430265870973395 kb_relative_information_score 0.5698825262788056 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.15294117647058825 mean_absolute_error 0.12941176470588237 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.16470588235294117 mean_absolute_error 0.14705882352941177 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.1488095238095238 mean_absolute_error 0.1488095238095238 mean_absolute_error 0.17857142857142858 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37483044982698976 mean_prior_absolute_error 0.37478291316526624 mean_prior_absolute_error 0.37490896358543435 mean_prior_absolute_error 0.37486694677871163 mean_prior_absolute_error 0.37486694677871163 number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 85 [21,22,22,20] number_of_instances 84 [22,22,21,19] number_of_instances 84 [22,21,21,20] number_of_instances 84 [21,21,22,20] number_of_instances 84 [21,21,22,20] precision 0.6977982512843195 [0.615385,0.684211,0.84,0.642857] precision 0.6913352007469655 [0.7,0.619048,0.777778,0.666667] precision 0.734733893557423 [0.642857,0.666667,0.909091,0.714286] precision 0.7031372549019608 [0.7,0.666667,0.7,0.75] precision 0.6459035188288209 [0.5,0.521739,0.869565,0.689655] precision 0.7231607725548991 [0.8,0.608696,0.826087,0.655172] precision 0.6918650793650793 [0.5625,0.6,0.833333,0.791667] precision 0.6791292845640672 [0.55,0.571429,0.740741,0.869565] precision 0.6964285714285714 [0.75,0.571429,0.791667,0.666667] precision 0.621064121064121 [0.555556,0.454545,0.777778,0.692308] predictive_accuracy 0.7058823529411765 predictive_accuracy 0.6941176470588235 predictive_accuracy 0.7411764705882353 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.6705882352941177 predictive_accuracy 0.7058823529411765 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7023809523809524 predictive_accuracy 0.7023809523809524 predictive_accuracy 0.6428571428571429 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.9989496630655892 prior_entropy 1.998373047127382 prior_entropy 1.9998531439726461 prior_entropy 1.99937603159913 prior_entropy 1.99937603159913 recall 0.7058823529411765 [0.380952,0.590909,0.954545,0.9] recall 0.6941176470588235 [0.333333,0.590909,0.954545,0.9] recall 0.7411764705882353 [0.428571,0.636364,0.909091,1] recall 0.7058823529411765 [0.333333,0.636364,0.954545,0.9] recall 0.6705882352941176 [0.238095,0.545455,0.909091,1] recall 0.7058823529411765 [0.380952,0.636364,0.863636,0.95] recall 0.7142857142857143 [0.409091,0.545455,0.952381,1] recall 0.7023809523809523 [0.5,0.380952,0.952381,1] recall 0.7023809523809523 [0.571429,0.380952,0.863636,1] recall 0.6428571428571429 [0.238095,0.47619,0.954545,0.9] relative_absolute_error 0.392334250318483 relative_absolute_error 0.4080276203312223 relative_absolute_error 0.345254140280265 relative_absolute_error 0.392334250318483 relative_absolute_error 0.4394143603567009 relative_absolute_error 0.392334250318483 relative_absolute_error 0.3811730413498008 relative_absolute_error 0.3969217550479106 relative_absolute_error 0.39696624385869855 relative_absolute_error 0.47635949263043825 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.43290840668819885 root_mean_prior_squared_error 0.4328534993731614 root_mean_prior_squared_error 0.43299907891329226 root_mean_prior_squared_error 0.43295055783892555 root_mean_prior_squared_error 0.43295055783892555 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.39107694443752145 root_mean_squared_error 0.3597384670922507 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.4058397249567139 root_mean_squared_error 0.3834824944236852 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.3857583749052298 root_mean_squared_error 0.3857583749052298 root_mean_squared_error 0.4225771273642583 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 0.9033711020520643 root_relative_squared_error 0.8309805527785729 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 0.9374724969224699 root_relative_squared_error 0.8858282456498644 root_relative_squared_error 0.8731926010915426 root_relative_squared_error 0.8908988348736826 root_relative_squared_error 0.8909986785344366 root_relative_squared_error 0.9760401498812098 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 68.61063100222964 usercpu_time_millis 69.82034898828715 usercpu_time_millis 70.78460301272571 usercpu_time_millis 70.23662200663239 usercpu_time_millis 70.3860820067348 usercpu_time_millis 70.97356699523516 usercpu_time_millis 73.18457697692793 usercpu_time_millis 70.34059999568854 usercpu_time_millis 72.20339597552083 usercpu_time_millis 70.35251098568551 usercpu_time_millis_testing 5.5452280066674575 usercpu_time_millis_testing 5.582184996455908 usercpu_time_millis_testing 5.627812002785504 usercpu_time_millis_testing 5.5794710060581565 usercpu_time_millis_testing 5.6178120139520615 usercpu_time_millis_testing 5.6181239924626425 usercpu_time_millis_testing 5.573798989644274 usercpu_time_millis_testing 5.577115996857174 usercpu_time_millis_testing 5.591739987721667 usercpu_time_millis_testing 5.600249991402961 usercpu_time_millis_training 63.06540299556218 usercpu_time_millis_training 64.23816399183124 usercpu_time_millis_training 65.1567910099402 usercpu_time_millis_training 64.65715100057423 usercpu_time_millis_training 64.76826999278273 usercpu_time_millis_training 65.35544300277252 usercpu_time_millis_training 67.61077798728365 usercpu_time_millis_training 64.76348399883136 usercpu_time_millis_training 66.61165598779917 usercpu_time_millis_training 64.75226099428255 wall_clock_time_millis 132.62677192687988 wall_clock_time_millis 69.84066963195801 wall_clock_time_millis 70.82128524780273 wall_clock_time_millis 70.36018371582031 wall_clock_time_millis 70.42169570922852 wall_clock_time_millis 70.99533081054688 wall_clock_time_millis 89.26963806152344 wall_clock_time_millis 70.38116455078125 wall_clock_time_millis 72.22628593444824 wall_clock_time_millis 70.45793533325195 wall_clock_time_millis_testing 5.556583404541016 wall_clock_time_millis_testing 5.594015121459961 wall_clock_time_millis_testing 5.639791488647461 wall_clock_time_millis_testing 5.589723587036133 wall_clock_time_millis_testing 5.643129348754883 wall_clock_time_millis_testing 5.629777908325195 wall_clock_time_millis_testing 5.585908889770508 wall_clock_time_millis_testing 5.590915679931641 wall_clock_time_millis_testing 5.603551864624023 wall_clock_time_millis_testing 5.61213493347168 wall_clock_time_millis_training 127.07018852233887 wall_clock_time_millis_training 64.24665451049805 wall_clock_time_millis_training 65.18149375915527 wall_clock_time_millis_training 64.77046012878418 wall_clock_time_millis_training 64.77856636047363 wall_clock_time_millis_training 65.36555290222168 wall_clock_time_millis_training 83.68372917175293 wall_clock_time_millis_training 64.79024887084961 wall_clock_time_millis_training 66.62273406982422 wall_clock_time_millis_training 64.84580039978027