10329304 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) 8184925 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 182.77762828539306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9917748757589415 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.008040616416913102 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 55251 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 21580302 description https://api.openml.org/data/download/21580302/description.xml -1 21580303 predictions https://api.openml.org/data/download/21580303/predictions.arff area_under_roc_curve 0.8925630038207019 [0.804878,0.811833,0.983054,0.974878] average_cost 0 f_measure 0.8385906416817218 [0.707547,0.722611,0.976959,0.953086] kappa 0.7856176609786728 kb_relative_information_score 0.8066597504016338 mean_absolute_error 0.08037825059101655 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.8381328261384597 [0.707547,0.731132,0.981481,0.936893] predictive_accuracy 0.8392434988179669 prior_entropy 1.9990667866719984 recall 0.8392434988179669 [0.707547,0.714286,0.972477,0.969849] relative_absolute_error 0.21443305088518538 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.283510582855414 root_relative_squared_error 0.654879346956957 total_cost 0 area_under_roc_curve 0.9058703449328449 [0.81808,0.869408,0.977273,0.959615] area_under_roc_curve 0.8743685134310134 [0.770461,0.777417,0.977273,0.976923] area_under_roc_curve 0.8898771367521368 [0.786458,0.830808,0.954545,0.992308] area_under_roc_curve 0.905746336996337 [0.802083,0.861472,0.977273,0.984615] area_under_roc_curve 0.9136904761904763 [0.866071,0.794372,1,1] area_under_roc_curve 0.9294318528693529 [0.857515,0.900072,0.977273,0.984615] area_under_roc_curve 0.8956615069518296 [0.800587,0.837977,0.992063,0.965992] area_under_roc_curve 0.8718637992831543 [0.791056,0.714286,0.992063,1] area_under_roc_curve 0.8650753648233488 [0.746032,0.753968,0.991935,0.967187] area_under_roc_curve 0.8730118727598567 [0.809524,0.769841,0.991935,0.917188] 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 0.858715424910747 [0.731707,0.8,0.976744,0.926829] f_measure 0.808937528499772 [0.666667,0.666667,0.976744,0.930233] f_measure 0.8360812829903966 [0.682927,0.73913,0.952381,0.97561] f_measure 0.8568271237872142 [0.717949,0.782609,0.976744,0.952381] f_measure 0.8691762138570649 [0.765957,0.717949,1,1] f_measure 0.8931031637461186 [0.8,0.844444,0.976744,0.952381] f_measure 0.8434301886129129 [0.714286,0.755556,0.976744,0.947368] f_measure 0.8053362624770735 [0.680851,0.578947,0.976744,1] f_measure 0.7955736224028908 [0.619048,0.634146,0.977778,0.95] f_measure 0.8096969476832176 [0.695652,0.666667,0.977778,0.894737] kappa 0.811703895144914 kappa 0.749031186565787 kappa 0.7803212110023999 kappa 0.811703895144914 kappa 0.82752259730677 kappa 0.8588039867109635 kappa 0.7934556459239646 kappa 0.7457915642141101 kappa 0.7300056721497448 kappa 0.7457915642141101 kb_relative_information_score 0.8299094620151257 kb_relative_information_score 0.7738618466215372 kb_relative_information_score 0.802157707011012 kb_relative_information_score 0.8302726355941529 kb_relative_information_score 0.8448378045813533 kb_relative_information_score 0.8727433560433832 kb_relative_information_score 0.8134357160963305 kb_relative_information_score 0.7715105845691208 kb_relative_information_score 0.756459132706338 kb_relative_information_score 0.7700905563879225 mean_absolute_error 0.07058823529411765 mean_absolute_error 0.09411764705882353 mean_absolute_error 0.08235294117647059 mean_absolute_error 0.07058823529411765 mean_absolute_error 0.06470588235294118 mean_absolute_error 0.052941176470588235 mean_absolute_error 0.07738095238095238 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.10119047619047619 mean_absolute_error 0.09523809523809523 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 0.8595603458774813 [0.75,0.782609,1,0.904762] precision 0.8106564364876386 [0.722222,0.652174,1,0.869565] precision 0.839187675070028 [0.7,0.708333,1,0.952381] precision 0.8590017825311941 [0.777778,0.75,1,0.909091] precision 0.8783071599680596 [0.692308,0.823529,1,1] precision 0.8945875500189673 [0.842105,0.826087,1,0.909091] precision 0.8429324298889517 [0.75,0.73913,0.954545,0.947368] precision 0.8061153552330024 [0.64,0.647059,0.954545,1] precision 0.7939699792960663 [0.619048,0.65,0.956522,0.95] precision 0.8159408787669656 [0.64,0.722222,0.956522,0.944444] predictive_accuracy 0.8588235294117647 predictive_accuracy 0.8117647058823529 predictive_accuracy 0.8352941176470589 predictive_accuracy 0.8588235294117647 predictive_accuracy 0.8705882352941177 predictive_accuracy 0.8941176470588235 predictive_accuracy 0.8452380952380952 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.7976190476190476 predictive_accuracy 0.8095238095238095 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 0.8588235294117647 [0.714286,0.818182,0.954545,0.95] recall 0.8117647058823529 [0.619048,0.681818,0.954545,1] recall 0.8352941176470589 [0.666667,0.772727,0.909091,1] recall 0.8588235294117647 [0.666667,0.818182,0.954545,1] recall 0.8705882352941177 [0.857143,0.636364,1,1] recall 0.8941176470588236 [0.761905,0.863636,0.954545,1] recall 0.8452380952380952 [0.681818,0.772727,1,0.947368] recall 0.8095238095238095 [0.727273,0.52381,1,1] recall 0.7976190476190477 [0.619048,0.619048,1,0.95] recall 0.8095238095238095 [0.761905,0.619048,1,0.85] relative_absolute_error 0.1883204401528718 relative_absolute_error 0.2510939202038291 relative_absolute_error 0.21970718017835045 relative_absolute_error 0.1883204401528718 relative_absolute_error 0.1726270701401325 relative_absolute_error 0.14124033011465387 relative_absolute_error 0.20646873073114214 relative_absolute_error 0.2540299232306628 relative_absolute_error 0.26993704582391503 relative_absolute_error 0.2540583960695671 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 0.2656844656620286 root_mean_squared_error 0.3067859955389482 root_mean_squared_error 0.2869720215917757 root_mean_squared_error 0.2656844656620286 root_mean_squared_error 0.25437350953458415 root_mean_squared_error 0.23008949665421113 root_mean_squared_error 0.2781743201320934 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3181045051401759 root_mean_squared_error 0.3086066999241838 root_relative_squared_error 0.6137198112980677 root_relative_squared_error 0.7086625965198915 root_relative_squared_error 0.6628931597497634 root_relative_squared_error 0.6137198112980677 root_relative_squared_error 0.5875919839038747 root_relative_squared_error 0.5314969473899186 root_relative_squared_error 0.6426523535906091 root_relative_squared_error 0.712719067898946 root_relative_squared_error 0.7347363327766473 root_relative_squared_error 0.7127989428275492 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 50.42424598650541 usercpu_time_millis 46.43055400811136 usercpu_time_millis 47.83807600324508 usercpu_time_millis 47.00936900917441 usercpu_time_millis 46.872343998984434 usercpu_time_millis 47.92036800063215 usercpu_time_millis 49.81490198406391 usercpu_time_millis 47.39085900655482 usercpu_time_millis 47.115490000578575 usercpu_time_millis 48.61512100615073 usercpu_time_millis_testing 2.983788988785818 usercpu_time_millis_testing 3.0684290104545653 usercpu_time_millis_testing 3.0413369968300685 usercpu_time_millis_testing 3.121516012470238 usercpu_time_millis_testing 3.1105990055948496 usercpu_time_millis_testing 3.0436910019489005 usercpu_time_millis_testing 3.1238179944921285 usercpu_time_millis_testing 3.103921000729315 usercpu_time_millis_testing 3.112435995717533 usercpu_time_millis_testing 3.119872009847313 usercpu_time_millis_training 47.44045699771959 usercpu_time_millis_training 43.36212499765679 usercpu_time_millis_training 44.79673900641501 usercpu_time_millis_training 43.88785299670417 usercpu_time_millis_training 43.761744993389584 usercpu_time_millis_training 44.87667699868325 usercpu_time_millis_training 46.69108398957178 usercpu_time_millis_training 44.286938005825505 usercpu_time_millis_training 44.00305400486104 usercpu_time_millis_training 45.49524899630342 wall_clock_time_millis 50.49538612365723 wall_clock_time_millis 46.46587371826172 wall_clock_time_millis 47.85728454589844 wall_clock_time_millis 47.10721969604492 wall_clock_time_millis 46.89431190490723 wall_clock_time_millis 47.93906211853027 wall_clock_time_millis 49.860477447509766 wall_clock_time_millis 47.411203384399414 wall_clock_time_millis 47.1346378326416 wall_clock_time_millis 48.63452911376953 wall_clock_time_millis_testing 2.989530563354492 wall_clock_time_millis_testing 3.078460693359375 wall_clock_time_millis_testing 3.051280975341797 wall_clock_time_millis_testing 3.1435489654541016 wall_clock_time_millis_testing 3.121614456176758 wall_clock_time_millis_testing 3.0536651611328125 wall_clock_time_millis_testing 3.133535385131836 wall_clock_time_millis_testing 3.115415573120117 wall_clock_time_millis_testing 3.122091293334961 wall_clock_time_millis_testing 3.129243850708008 wall_clock_time_millis_training 47.505855560302734 wall_clock_time_millis_training 43.387413024902344 wall_clock_time_millis_training 44.80600357055664 wall_clock_time_millis_training 43.96367073059082 wall_clock_time_millis_training 43.77269744873047 wall_clock_time_millis_training 44.88539695739746 wall_clock_time_millis_training 46.72694206237793 wall_clock_time_millis_training 44.2957878112793 wall_clock_time_millis_training 44.01254653930664 wall_clock_time_millis_training 45.50528526306152