10326824 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) 8182494 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 86.94814255939787 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5721041651497317 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.038416635182561276 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 4709 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 21575334 description https://api.openml.org/data/download/21575334/description.xml -1 21575335 predictions https://api.openml.org/data/download/21575335/predictions.arff area_under_roc_curve 0.7015625 [0.711458,0.70625,0.678125,0.675521,0.75,0.657292,0.686458,0.782813,0.666146] average_cost 0 f_measure 0.5330899301900662 [0.589595,0.300254,0.521212,0.505882,0.666667,0.475,0.522727,0.719577,0.496894] kappa 0.403125 kb_relative_information_score 0.4410038177728471 mean_absolute_error 0.11790123456790272 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8541713841754525 [0.962264,0.177177,0.955556,0.86,1,0.95,0.821429,0.985507,0.97561] predictive_accuracy 0.46944444444444444 prior_entropy 3.1699250014422624 recall 0.46944444444444444 [0.425,0.983333,0.358333,0.358333,0.5,0.316667,0.383333,0.566667,0.333333] relative_absolute_error 0.5968750000000222 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.34336749200805644 root_relative_squared_error 1.0925886691706281 total_cost 0 area_under_roc_curve 0.703125 [0.708333,0.71875,0.583333,0.75,0.833333,0.666667,0.692708,0.75,0.625] area_under_roc_curve 0.6458333333333334 [0.708333,0.661458,0.666667,0.697917,0.625,0.666667,0.536458,0.708333,0.541667] area_under_roc_curve 0.671875 [0.661458,0.651042,0.708333,0.614583,0.75,0.666667,0.541667,0.828125,0.625] area_under_roc_curve 0.734375 [0.625,0.739583,0.791667,0.666667,0.791667,0.583333,0.828125,0.833333,0.75] area_under_roc_curve 0.7083333333333334 [0.666667,0.729167,0.666667,0.744792,0.791667,0.494792,0.78125,0.833333,0.666667] area_under_roc_curve 0.7135416666666666 [0.791667,0.729167,0.703125,0.536458,0.791667,0.744792,0.791667,0.708333,0.625] area_under_roc_curve 0.7239583333333334 [0.75,0.697917,0.703125,0.744792,0.666667,0.666667,0.744792,0.791667,0.75] area_under_roc_curve 0.671875 [0.703125,0.677083,0.666667,0.708333,0.791667,0.583333,0.666667,0.666667,0.583333] area_under_roc_curve 0.7083333333333334 [0.75,0.723958,0.666667,0.666667,0.791667,0.708333,0.572917,0.791667,0.703125] area_under_roc_curve 0.734375 [0.75,0.734375,0.625,0.625,0.666667,0.791667,0.708333,0.916667,0.791667] 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 0.5238861356508415 [0.588235,0.307692,0.285714,0.666667,0.8,0.5,0.5,0.666667,0.4] f_measure 0.40768362175117656 [0.588235,0.269663,0.5,0.526316,0.4,0.5,0.142857,0.588235,0.153846] f_measure 0.462497219025196 [0.470588,0.268293,0.588235,0.352941,0.666667,0.5,0.153846,0.761905,0.4] f_measure 0.579143805459595 [0.4,0.324324,0.736842,0.5,0.736842,0.285714,0.761905,0.8,0.666667] f_measure 0.5167641325536062 [0.5,0.315789,0.5,0.631579,0.736842,0,0.666667,0.8,0.5] f_measure 0.5382825254858278 [0.736842,0.315789,0.555556,0.142857,0.736842,0.631579,0.736842,0.588235,0.4] f_measure 0.5766954168780652 [0.666667,0.30137,0.555556,0.631579,0.5,0.5,0.631579,0.736842,0.666667] f_measure 0.4701256993118658 [0.555556,0.27907,0.5,0.588235,0.736842,0.285714,0.5,0.5,0.285714] f_measure 0.5384255598393884 [0.666667,0.311688,0.5,0.5,0.736842,0.588235,0.25,0.736842,0.555556] f_measure 0.5841863422668375 [0.666667,0.32,0.4,0.4,0.5,0.736842,0.588235,0.909091,0.736842] kappa 0.40625 kappa 0.2916666666666667 kappa 0.34375000000000006 kappa 0.46875000000000006 kappa 0.4166666666666667 kappa 0.42708333333333337 kappa 0.44791666666666674 kappa 0.34375000000000006 kappa 0.4166666666666667 kappa 0.46875000000000006 kb_relative_information_score 0.4439304993551808 kb_relative_information_score 0.3366188413360053 kb_relative_information_score 0.3853968677083575 kb_relative_information_score 0.5024641310020042 kb_relative_information_score 0.45368610462965164 kb_relative_information_score 0.46344170990412176 kb_relative_information_score 0.48295292045306293 kb_relative_information_score 0.3853968677083578 kb_relative_information_score 0.4536861046296513 kb_relative_information_score 0.5024641310020038 mean_absolute_error 0.11728395061728382 mean_absolute_error 0.1399176954732508 mean_absolute_error 0.12962962962962946 mean_absolute_error 0.10493827160493818 mean_absolute_error 0.11522633744855953 mean_absolute_error 0.11316872427983526 mean_absolute_error 0.10905349794238672 mean_absolute_error 0.12962962962962946 mean_absolute_error 0.11522633744855953 mean_absolute_error 0.10493827160493818 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 0.8674242424242424 [1,0.181818,1,1,1,1,0.625,1,1] precision 0.8189033189033189 [1,0.155844,1,0.714286,1,1,0.5,1,1] precision 0.8273368606701941 [0.8,0.157143,1,0.6,1,1,1,0.888889,1] precision 0.8980485862206292 [1,0.193548,1,1,1,1,0.888889,1,1] precision 0.7580467372134039 [1,0.1875,1,0.857143,1,0,0.777778,1,1] precision 0.8197751322751322 [1,0.1875,0.833333,0.5,1,0.857143,1,1,1] precision 0.8586607684968341 [1,0.180328,0.833333,0.857143,1,1,0.857143,1,1] precision 0.8883883883883883 [0.833333,0.162162,1,1,1,1,1,1,1] precision 0.8353276353276352 [1,0.184615,1,1,1,1,0.5,1,0.833333] precision 0.91005291005291 [1,0.190476,1,1,1,1,1,1,1] predictive_accuracy 0.4722222222222222 predictive_accuracy 0.3703703703703704 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.5277777777777778 predictive_accuracy 0.48148148148148145 predictive_accuracy 0.49074074074074076 predictive_accuracy 0.5092592592592592 predictive_accuracy 0.41666666666666663 predictive_accuracy 0.48148148148148145 predictive_accuracy 0.5277777777777778 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 0.4722222222222222 [0.416667,1,0.166667,0.5,0.666667,0.333333,0.416667,0.5,0.25] recall 0.37037037037037035 [0.416667,1,0.333333,0.416667,0.25,0.333333,0.083333,0.416667,0.083333] recall 0.4166666666666667 [0.333333,0.916667,0.416667,0.25,0.5,0.333333,0.083333,0.666667,0.25] recall 0.5277777777777778 [0.25,1,0.583333,0.333333,0.583333,0.166667,0.666667,0.666667,0.5] recall 0.48148148148148145 [0.333333,1,0.333333,0.5,0.583333,0,0.583333,0.666667,0.333333] recall 0.49074074074074076 [0.583333,1,0.416667,0.083333,0.583333,0.5,0.583333,0.416667,0.25] recall 0.5092592592592593 [0.5,0.916667,0.416667,0.5,0.333333,0.333333,0.5,0.583333,0.5] recall 0.4166666666666667 [0.416667,1,0.333333,0.416667,0.583333,0.166667,0.333333,0.333333,0.166667] recall 0.48148148148148145 [0.5,1,0.333333,0.333333,0.583333,0.416667,0.166667,0.583333,0.416667] recall 0.5277777777777778 [0.5,1,0.25,0.25,0.333333,0.583333,0.416667,0.833333,0.583333] relative_absolute_error 0.5937499999999977 relative_absolute_error 0.7083333333333303 relative_absolute_error 0.6562499999999973 relative_absolute_error 0.5312499999999981 relative_absolute_error 0.583333333333331 relative_absolute_error 0.5729166666666644 relative_absolute_error 0.5520833333333313 relative_absolute_error 0.6562499999999973 relative_absolute_error 0.583333333333331 relative_absolute_error 0.5312499999999981 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 0.3424674446093874 root_mean_squared_error 0.37405573845785445 root_mean_squared_error 0.36004114991154756 root_mean_squared_error 0.3239417719358499 root_mean_squared_error 0.33945005147821017 root_mean_squared_error 0.3364055948997211 root_mean_squared_error 0.3302324907430926 root_mean_squared_error 0.36004114991154756 root_mean_squared_error 0.33945005147821017 root_mean_squared_error 0.3239417719358499 root_relative_squared_error 1.0897247358851663 root_relative_squared_error 1.1902380714238059 root_relative_squared_error 1.145643923738958 root_relative_squared_error 1.0307764064044134 root_relative_squared_error 1.0801234497346412 root_relative_squared_error 1.070436048222092 root_relative_squared_error 1.0507933510765388 root_relative_squared_error 1.145643923738958 root_relative_squared_error 1.0801234497346412 root_relative_squared_error 1.0307764064044134 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 2717.3088229974383 usercpu_time_millis 2726.0793920067954 usercpu_time_millis 2708.188565004093 usercpu_time_millis 2715.446239002631 usercpu_time_millis 2708.3737030043267 usercpu_time_millis 2757.6836999942316 usercpu_time_millis 2719.332343993301 usercpu_time_millis 2693.3381419949 usercpu_time_millis 2708.856179000577 usercpu_time_millis 2720.5367499918793 usercpu_time_millis_testing 156.3991779985372 usercpu_time_millis_testing 152.14557600120315 usercpu_time_millis_testing 155.0907510027173 usercpu_time_millis_testing 161.56371599936392 usercpu_time_millis_testing 154.6246960060671 usercpu_time_millis_testing 166.48369099857518 usercpu_time_millis_testing 145.0225459993817 usercpu_time_millis_testing 152.8420729955542 usercpu_time_millis_testing 148.43202300107805 usercpu_time_millis_testing 163.04903199488763 usercpu_time_millis_training 2560.909644998901 usercpu_time_millis_training 2573.9338160055922 usercpu_time_millis_training 2553.097814001376 usercpu_time_millis_training 2553.882523003267 usercpu_time_millis_training 2553.7490069982596 usercpu_time_millis_training 2591.2000089956564 usercpu_time_millis_training 2574.3097979939193 usercpu_time_millis_training 2540.496068999346 usercpu_time_millis_training 2560.424155999499 usercpu_time_millis_training 2557.4877179969917 wall_clock_time_millis 2749.635696411133 wall_clock_time_millis 2854.3527126312256 wall_clock_time_millis 2964.5397663116455 wall_clock_time_millis 2740.4744625091553 wall_clock_time_millis 2709.3758583068848 wall_clock_time_millis 2758.9194774627686 wall_clock_time_millis 2720.669984817505 wall_clock_time_millis 2694.347620010376 wall_clock_time_millis 2797.6131439208984 wall_clock_time_millis 3124.7594356536865 wall_clock_time_millis_testing 172.41835594177246 wall_clock_time_millis_testing 152.16755867004395 wall_clock_time_millis_testing 155.11393547058105 wall_clock_time_millis_testing 161.73124313354492 wall_clock_time_millis_testing 154.71458435058594 wall_clock_time_millis_testing 166.611909866333 wall_clock_time_millis_testing 145.37906646728516 wall_clock_time_millis_testing 152.93383598327637 wall_clock_time_millis_testing 148.453950881958 wall_clock_time_millis_testing 195.07193565368652 wall_clock_time_millis_training 2577.2173404693604 wall_clock_time_millis_training 2702.1851539611816 wall_clock_time_millis_training 2809.4258308410645 wall_clock_time_millis_training 2578.7432193756104 wall_clock_time_millis_training 2554.661273956299 wall_clock_time_millis_training 2592.3075675964355 wall_clock_time_millis_training 2575.2909183502197 wall_clock_time_millis_training 2541.4137840270996 wall_clock_time_millis_training 2649.1591930389404 wall_clock_time_millis_training 2929.6875