10311326 8323 Heinrich Peters 9985 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8170696 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 4 15084 gamma 0.001 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 3000 15084 n_epoch 2 15084 random_state 27829 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21544259 description https://api.openml.org/data/download/21544259/description.xml -1 21544260 predictions https://api.openml.org/data/download/21544260/predictions.arff area_under_roc_curve 0.7297088155698989 [0.685133,0.633092,0.699187,0.652832,0.659887,0.811671] average_cost 0 f_measure 0.5834132112467451 [0.482126,0.363405,0.486486,0.393912,0.408127,0.78546] kappa 0.44778094522868717 kb_relative_information_score 0.4594943972019934 mean_absolute_error 0.13359485670698862 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5785750821913552 [0.481244,0.475083,0.519757,0.44,0.454724,0.720733] predictive_accuracy 0.5992154298790454 prior_entropy 2.3000072984859514 recall 0.5992154298790454 [0.483012,0.294239,0.457219,0.356564,0.370192,0.86296] relative_absolute_error 0.5327501199890547 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3655063018704173 root_relative_squared_error 1.0322851868776661 total_cost 0 area_under_roc_curve 0.724380064170164 [0.667345,0.549202,0.661559,0.649238,0.656128,0.834665] area_under_roc_curve 0.7446645994516584 [0.732331,0.623005,0.74432,0.679795,0.668358,0.807563] area_under_roc_curve 0.7411245492409982 [0.66832,0.642839,0.730056,0.635953,0.663154,0.838936] area_under_roc_curve 0.7131041237812912 [0.641965,0.630859,0.721676,0.595513,0.659912,0.798319] area_under_roc_curve 0.7290449567437053 [0.676674,0.67124,0.647412,0.721026,0.696716,0.796359] area_under_roc_curve 0.7350156590893097 [0.69204,0.637529,0.718883,0.644692,0.66912,0.814846] area_under_roc_curve 0.7242344153283906 [0.714821,0.638852,0.673929,0.652874,0.624252,0.80112] area_under_roc_curve 0.7292261666416625 [0.683249,0.610016,0.723538,0.657642,0.660938,0.806882] area_under_roc_curve 0.7206987602101799 [0.676779,0.663762,0.697749,0.628465,0.603531,0.807152] area_under_roc_curve 0.7355823959569333 [0.697695,0.662874,0.671976,0.663085,0.696038,0.810739] 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 0.5625389824674122 [0.449339,0.173913,0.414286,0.382609,0.4,0.810036] f_measure 0.6087223312734554 [0.550218,0.346667,0.57554,0.45045,0.413223,0.779599] f_measure 0.5966328479729561 [0.453704,0.363636,0.550725,0.38,0.410256,0.814159] f_measure 0.5539769294436675 [0.415842,0.337079,0.517007,0.285714,0.390244,0.770609] f_measure 0.587425339485382 [0.471698,0.444444,0.394161,0.521739,0.459016,0.768402] f_measure 0.5934009472050418 [0.493151,0.405797,0.506667,0.366667,0.446602,0.788632] f_measure 0.5747569995474803 [0.514523,0.375,0.451128,0.396396,0.349515,0.773381] f_measure 0.5852156914756812 [0.483412,0.32,0.524138,0.407407,0.410714,0.78185] f_measure 0.5687780826648677 [0.466368,0.425,0.485714,0.345455,0.301887,0.781528] f_measure 0.5970703918568843 [0.514851,0.419753,0.437956,0.393443,0.490909,0.785965] kappa 0.42607275776342696 kappa 0.48125360788583377 kappa 0.4678966680911892 kappa 0.4111380216145814 kappa 0.4509361622656848 kappa 0.4608048777790476 kappa 0.4374007177737248 kappa 0.4510254537906391 kappa 0.4278412140279449 kappa 0.46342340072330584 kb_relative_information_score 0.4299714491012636 kb_relative_information_score 0.4922648760179708 kb_relative_information_score 0.47386548441635623 kb_relative_information_score 0.4260316189933018 kb_relative_information_score 0.46988166408053283 kb_relative_information_score 0.4718716267942882 kb_relative_information_score 0.44963599975126184 kb_relative_information_score 0.46373713454330845 kb_relative_information_score 0.4408462350133838 kb_relative_information_score 0.4767909159501753 mean_absolute_error 0.13888888888888867 mean_absolute_error 0.12636165577342046 mean_absolute_error 0.1285403050108932 mean_absolute_error 0.14324618736383415 mean_absolute_error 0.13344226579520685 mean_absolute_error 0.13017429193899774 mean_absolute_error 0.13616557734204776 mean_absolute_error 0.13180827886710228 mean_absolute_error 0.13802509547190378 mean_absolute_error 0.12929623567921433 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5531323518518765 [0.432203,0.285714,0.439394,0.415094,0.442308,0.748344] precision 0.6072078128824965 [0.525,0.481481,0.625,0.510204,0.431034,0.727891] precision 0.5923761564179021 [0.453704,0.410256,0.603175,0.5,0.444444,0.741935] precision 0.5459903324249138 [0.451613,0.375,0.527778,0.348837,0.393443,0.709571] precision 0.5847376615624009 [0.485437,0.5625,0.435484,0.566038,0.466667,0.708609] precision 0.6011528127319945 [0.490909,0.7,0.506667,0.37931,0.560976,0.720779] precision 0.5733641414974788 [0.469697,0.483871,0.517241,0.44898,0.439024,0.714286] precision 0.5813705243017318 [0.5,0.461538,0.542857,0.468085,0.46,0.706625] precision 0.5631773354762181 [0.45614,0.53125,0.523077,0.387755,0.363636,0.716612] precision 0.5952983595873419 [0.55914,0.515152,0.47619,0.393443,0.574468,0.713376] predictive_accuracy 0.5833333333333334 predictive_accuracy 0.6209150326797386 predictive_accuracy 0.6143790849673203 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5996732026143791 predictive_accuracy 0.6094771241830066 predictive_accuracy 0.5915032679738562 predictive_accuracy 0.6045751633986928 predictive_accuracy 0.585924713584288 predictive_accuracy 0.6121112929623568 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 recall 0.5833333333333334 [0.46789,0.125,0.391892,0.354839,0.365079,0.882812] recall 0.6209150326797386 [0.577982,0.270833,0.533333,0.403226,0.396825,0.839216] recall 0.6143790849673203 [0.453704,0.326531,0.506667,0.306452,0.380952,0.901961] recall 0.5702614379084967 [0.385321,0.306122,0.506667,0.241935,0.387097,0.843137] recall 0.5996732026143791 [0.458716,0.367347,0.36,0.483871,0.451613,0.839216] recall 0.6094771241830066 [0.495413,0.285714,0.506667,0.354839,0.370968,0.870588] recall 0.5915032679738562 [0.568807,0.306122,0.4,0.354839,0.290323,0.843137] recall 0.6045751633986928 [0.46789,0.244898,0.506667,0.360656,0.370968,0.875] recall 0.5859247135842881 [0.477064,0.354167,0.453333,0.311475,0.258065,0.859375] recall 0.6121112929623568 [0.477064,0.354167,0.405405,0.393443,0.428571,0.875] relative_absolute_error 0.5540596876713013 relative_absolute_error 0.5037628828877393 relative_absolute_error 0.5123389085948747 relative_absolute_error 0.5710480848971212 relative_absolute_error 0.5319649460068244 relative_absolute_error 0.5189372330433922 relative_absolute_error 0.5428213734763513 relative_absolute_error 0.5258122016156049 relative_absolute_error 0.5508143803048486 relative_absolute_error 0.5159575243361276 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.37267799624996467 root_mean_squared_error 0.355473846820579 root_mean_squared_error 0.35852518044189474 root_mean_squared_error 0.37847878059916934 root_mean_squared_error 0.3652975031330037 root_mean_squared_error 0.3607967460205229 root_mean_squared_error 0.36900620230837283 root_mean_squared_error 0.3630540990914471 root_mean_squared_error 0.3715172882544011 root_mean_squared_error 0.3595778576041833 root_relative_squared_error 1.0529163112269826 root_relative_squared_error 1.0036667212842245 root_relative_squared_error 1.0120657198953085 root_relative_squared_error 1.0685679908552037 root_relative_squared_error 1.031352981980393 root_relative_squared_error 1.0186458891880386 root_relative_squared_error 1.0418238390790042 root_relative_squared_error 1.0257236456455372 root_relative_squared_error 1.0500195775728602 root_relative_squared_error 1.0162303215797777 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 59051.690139982384 usercpu_time_millis 46044.08536001574 usercpu_time_millis 44558.92141797813 usercpu_time_millis 58170.46592198312 usercpu_time_millis 53102.31712000677 usercpu_time_millis 50000.24618796306 usercpu_time_millis 48160.63828597544 usercpu_time_millis 52484.7532499989 usercpu_time_millis 53770.550248998916 usercpu_time_millis 45744.24282400287 usercpu_time_millis_testing 212.45782199548557 usercpu_time_millis_testing 127.48295799246989 usercpu_time_millis_testing 140.79460597713478 usercpu_time_millis_testing 196.88246899750084 usercpu_time_millis_testing 142.9775450087618 usercpu_time_millis_testing 228.54440598166548 usercpu_time_millis_testing 134.48361598420888 usercpu_time_millis_testing 236.04708700440824 usercpu_time_millis_testing 181.36349899577908 usercpu_time_millis_testing 146.77242800826207 usercpu_time_millis_training 58839.2323179869 usercpu_time_millis_training 45916.60240202327 usercpu_time_millis_training 44418.12681200099 usercpu_time_millis_training 57973.58345298562 usercpu_time_millis_training 52959.33957499801 usercpu_time_millis_training 49771.70178198139 usercpu_time_millis_training 48026.15466999123 usercpu_time_millis_training 52248.706162994495 usercpu_time_millis_training 53589.18675000314 usercpu_time_millis_training 45597.470395994605 wall_clock_time_millis 59123.03161621094 wall_clock_time_millis 46051.07593536377 wall_clock_time_millis 44567.22831726074 wall_clock_time_millis 58304.98671531677 wall_clock_time_millis 53209.779262542725 wall_clock_time_millis 50001.1773109436 wall_clock_time_millis 48161.54456138611 wall_clock_time_millis 52490.29231071472 wall_clock_time_millis 53915.63582420349 wall_clock_time_millis 45747.40648269653 wall_clock_time_millis_testing 212.47577667236328 wall_clock_time_millis_testing 127.49409675598145 wall_clock_time_millis_testing 140.8076286315918 wall_clock_time_millis_testing 196.90799713134766 wall_clock_time_millis_testing 142.98772811889648 wall_clock_time_millis_testing 228.58357429504395 wall_clock_time_millis_testing 134.49621200561523 wall_clock_time_millis_testing 236.08016967773438 wall_clock_time_millis_testing 181.37526512145996 wall_clock_time_millis_testing 147.59016036987305 wall_clock_time_millis_training 58910.555839538574 wall_clock_time_millis_training 45923.58183860779 wall_clock_time_millis_training 44426.42068862915 wall_clock_time_millis_training 58108.078718185425 wall_clock_time_millis_training 53066.79153442383 wall_clock_time_millis_training 49772.59373664856 wall_clock_time_millis_training 48027.04834938049 wall_clock_time_millis_training 52254.21214103699 wall_clock_time_millis_training 53734.26055908203 wall_clock_time_millis_training 45599.81632232666