10329371 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) 8184991 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 363.6635002375271 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5399612747801303 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 2.353046556401698 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 25322 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 21580439 description https://api.openml.org/data/download/21580439/description.xml -1 21580440 predictions https://api.openml.org/data/download/21580440/predictions.arff area_under_roc_curve 0.5470249803930137 [0.522313,0.544138,0.643962,0.470307] average_cost 0 f_measure 0.328615447987481 [0.310559,0.290323,0.458333,0.247505] kappa 0.09246167922836936 kb_relative_information_score 0.1747266189304223 mean_absolute_error 0.3416075650118203 mean_prior_absolute_error 0.3748407731887084 number_of_instances 846 [212,217,218,199] precision 0.3751538163590595 [0.276753,0.348387,0.652542,0.205298] predictive_accuracy 0.31678486997635935 prior_entropy 1.9990667866719984 recall 0.31678486997635935 [0.353774,0.248848,0.353211,0.311558] relative_absolute_error 0.911340466262038 root_mean_prior_squared_error 0.4329203297871725 root_mean_squared_error 0.5844720395466496 root_relative_squared_error 1.3500683597695247 total_cost 0 area_under_roc_curve 0.5803933913308914 [0.550967,0.582973,0.635281,0.548077] area_under_roc_curve 0.5682596916971917 [0.547991,0.565296,0.68759,0.461538] area_under_roc_curve 0.5311431623931624 [0.516369,0.498196,0.620491,0.484615] area_under_roc_curve 0.5873569139194138 [0.535342,0.596681,0.696609,0.511538] area_under_roc_curve 0.5882020757020757 [0.550595,0.5671,0.688672,0.540385] area_under_roc_curve 0.5010321275946277 [0.487723,0.468254,0.587662,0.455769] area_under_roc_curve 0.5211036275552404 [0.519062,0.560117,0.547619,0.448988] area_under_roc_curve 0.5637800819252432 [0.557918,0.515873,0.690476,0.4875] area_under_roc_curve 0.5335901497695852 [0.468254,0.579365,0.604106,0.476562] area_under_roc_curve 0.4950156810035842 [0.484127,0.507937,0.678886,0.290625] 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 0.3634953401902554 [0.372881,0.296296,0.4375,0.346154] f_measure 0.3447715572715573 [0.222222,0.40625,0.540541,0.190476] f_measure 0.2890913558405818 [0.148148,0.315789,0.4,0.285714] f_measure 0.39298018760410275 [0.360656,0.363636,0.5625,0.272727] f_measure 0.3823268468681612 [0.363636,0.275862,0.545455,0.339623] f_measure 0.22079249373938653 [0.305085,0,0.368421,0.212766] f_measure 0.26262535278928717 [0.333333,0.230769,0.222222,0.262295] f_measure 0.3363636349207936 [0.377358,0.148148,0.540541,0.27451] f_measure 0.3033239908239908 [0.307692,0.296296,0.375,0.227273] f_measure 0.2275388225465625 [0,0.321429,0.526316,0.039216] kappa 0.15887850467289716 kappa 0.1350601295097133 kappa 0.06129210381004972 kappa 0.17233143487047586 kappa 0.1741521539871677 kappa 0.0012851110703139392 kappa 0.04044943820224724 kappa 0.12698412698412698 kappa 0.06596306068601582 kappa -0.013001695873374821 kb_relative_information_score 0.23386488341067102 kb_relative_information_score 0.21621126208496158 kb_relative_information_score 0.1478050654935524 kb_relative_information_score 0.2464043964148259 kb_relative_information_score 0.24775412310353725 kb_relative_information_score 0.09092985624767126 kb_relative_information_score 0.12451016459176001 kb_relative_information_score 0.20949937316602565 kb_relative_information_score 0.15163428237885346 kb_relative_information_score 0.0770458424535132 mean_absolute_error 0.3176470588235294 mean_absolute_error 0.3235294117647059 mean_absolute_error 0.35294117647058826 mean_absolute_error 0.31176470588235294 mean_absolute_error 0.31176470588235294 mean_absolute_error 0.3764705882352941 mean_absolute_error 0.3630952380952381 mean_absolute_error 0.3273809523809524 mean_absolute_error 0.35119047619047616 mean_absolute_error 0.38095238095238093 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 0.5259287925696595 [0.289474,0.8,0.7,0.28125] precision 0.41897122485357774 [0.5,0.309524,0.666667,0.181818] precision 0.39531279178338 [0.333333,0.257143,0.75,0.222222] precision 0.5008823529411766 [0.275,0.545455,0.9,0.25] precision 0.49649934840246257 [0.294118,0.571429,0.818182,0.272727] precision 0.21532221075564725 [0.236842,0,0.4375,0.185185] precision 0.4381731859410431 [0.28125,0.75,0.5,0.190476] precision 0.3778321812596006 [0.322581,0.333333,0.625,0.225806] precision 0.43023088023088024 [0.227273,0.666667,0.6,0.208333] precision 0.23565668202764975 [0,0.257143,0.625,0.032258] predictive_accuracy 0.36470588235294116 predictive_accuracy 0.35294117647058826 predictive_accuracy 0.29411764705882354 predictive_accuracy 0.3764705882352941 predictive_accuracy 0.3764705882352941 predictive_accuracy 0.24705882352941178 predictive_accuracy 0.2738095238095238 predictive_accuracy 0.34523809523809523 predictive_accuracy 0.2976190476190476 predictive_accuracy 0.2380952380952381 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 0.36470588235294116 [0.52381,0.181818,0.318182,0.45] recall 0.35294117647058826 [0.142857,0.590909,0.454545,0.2] recall 0.29411764705882354 [0.095238,0.409091,0.272727,0.4] recall 0.3764705882352941 [0.52381,0.272727,0.409091,0.3] recall 0.3764705882352941 [0.47619,0.181818,0.409091,0.45] recall 0.24705882352941178 [0.428571,0,0.318182,0.25] recall 0.27380952380952384 [0.409091,0.136364,0.142857,0.421053] recall 0.34523809523809523 [0.454545,0.095238,0.47619,0.35] recall 0.2976190476190476 [0.47619,0.190476,0.272727,0.25] recall 0.23809523809523808 [0,0.428571,0.454545,0.05] relative_absolute_error 0.8474419806879232 relative_absolute_error 0.8631353507006625 relative_absolute_error 0.9416022007643592 relative_absolute_error 0.8317486106751838 relative_absolute_error 0.8317486106751838 relative_absolute_error 1.0043756808153164 relative_absolute_error 0.9688148134307438 relative_absolute_error 0.8732278611054034 relative_absolute_error 0.9368403355065285 relative_absolute_error 1.0162335842782684 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 0.5636018619766345 root_mean_squared_error 0.568796458994521 root_mean_squared_error 0.5940885257860046 root_mean_squared_error 0.5583589400039664 root_mean_squared_error 0.5583589400039664 root_mean_squared_error 0.6135719910778964 root_mean_squared_error 0.6025738445163697 root_mean_squared_error 0.5721721352713294 root_mean_squared_error 0.592613260221602 root_mean_squared_error 0.6172133998483676 root_relative_squared_error 1.3018963209521761 root_relative_squared_error 1.3138956190430258 root_relative_squared_error 1.3723192172008232 root_relative_squared_error 1.289785394271918 root_relative_squared_error 1.289785394271918 root_relative_squared_error 1.417325193039783 root_relative_squared_error 1.392096506991371 root_relative_squared_error 1.321416518269099 root_relative_squared_error 1.368778142196267 root_relative_squared_error 1.4255978856550984 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 40.963802006444894 usercpu_time_millis 37.89896800299175 usercpu_time_millis 37.65171600389294 usercpu_time_millis 38.177402995643206 usercpu_time_millis 36.996928000007756 usercpu_time_millis 38.3413810050115 usercpu_time_millis 38.69770601158962 usercpu_time_millis 37.73406500113197 usercpu_time_millis 38.375547010218725 usercpu_time_millis 38.21359899302479 usercpu_time_millis_testing 2.7320689987391233 usercpu_time_millis_testing 2.811546000884846 usercpu_time_millis_testing 2.818780005327426 usercpu_time_millis_testing 2.8179630025988445 usercpu_time_millis_testing 2.776036999421194 usercpu_time_millis_testing 2.7945070032728836 usercpu_time_millis_testing 2.7337680076016113 usercpu_time_millis_testing 2.7670620038406923 usercpu_time_millis_testing 2.7466480096336454 usercpu_time_millis_testing 2.732555993134156 usercpu_time_millis_training 38.23173300770577 usercpu_time_millis_training 35.087422002106905 usercpu_time_millis_training 34.83293599856552 usercpu_time_millis_training 35.35943999304436 usercpu_time_millis_training 34.22089100058656 usercpu_time_millis_training 35.546874001738615 usercpu_time_millis_training 35.963938003988005 usercpu_time_millis_training 34.967002997291274 usercpu_time_millis_training 35.62889900058508 usercpu_time_millis_training 35.48104299989063 wall_clock_time_millis 40.98057746887207 wall_clock_time_millis 37.9185676574707 wall_clock_time_millis 53.672075271606445 wall_clock_time_millis 38.19441795349121 wall_clock_time_millis 37.01472282409668 wall_clock_time_millis 38.3601188659668 wall_clock_time_millis 38.71655464172363 wall_clock_time_millis 37.75501251220703 wall_clock_time_millis 70.39761543273926 wall_clock_time_millis 70.22786140441895 wall_clock_time_millis_testing 2.740621566772461 wall_clock_time_millis_testing 2.822399139404297 wall_clock_time_millis_testing 18.831253051757812 wall_clock_time_millis_testing 2.8257369995117188 wall_clock_time_millis_testing 2.784252166748047 wall_clock_time_millis_testing 2.8035640716552734 wall_clock_time_millis_testing 2.743244171142578 wall_clock_time_millis_testing 2.7763843536376953 wall_clock_time_millis_testing 2.7556419372558594 wall_clock_time_millis_testing 2.738475799560547 wall_clock_time_millis_training 38.23995590209961 wall_clock_time_millis_training 35.096168518066406 wall_clock_time_millis_training 34.84082221984863 wall_clock_time_millis_training 35.36868095397949 wall_clock_time_millis_training 34.23047065734863 wall_clock_time_millis_training 35.55655479431152 wall_clock_time_millis_training 35.973310470581055 wall_clock_time_millis_training 34.978628158569336 wall_clock_time_millis_training 67.6419734954834 wall_clock_time_millis_training 67.4893856048584