10349809 8323 Heinrich Peters 9985 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8205304 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 33.252648089739836 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 2.1212339071044592 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 21640 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. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21621319 description https://api.openml.org/data/download/21621319/description.xml -1 21621320 predictions https://api.openml.org/data/download/21621320/predictions.arff area_under_roc_curve 0.6935906101643983 [0.664503,0.613247,0.631643,0.666699,0.648685,0.756893] average_cost 0 f_measure 0.5446976795913653 [0.457431,0.332871,0.380317,0.418358,0.398489,0.736602] kappa 0.3925507070190031 kb_relative_information_score 0.4206029605749363 mean_absolute_error 0.14203988231448658 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5516410221204454 [0.506696,0.510638,0.505543,0.459302,0.485057,0.630683] predictive_accuracy 0.5738803530565544 prior_entropy 2.3000072984859514 recall 0.5738803530565544 [0.416896,0.246914,0.304813,0.384117,0.338141,0.885278] relative_absolute_error 0.5664272279002744 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.37688178824995855 root_relative_squared_error 1.0644125292053839 total_cost 0 area_under_roc_curve 0.6857954776872103 [0.628586,0.569149,0.624058,0.642991,0.617356,0.77708] area_under_roc_curve 0.7081505193124289 [0.693189,0.617908,0.648976,0.713871,0.686313,0.752941] area_under_roc_curve 0.6856320401949202 [0.638889,0.619332,0.61378,0.64129,0.661593,0.756022] area_under_roc_curve 0.6790958223203092 [0.649534,0.606463,0.6254,0.658211,0.61437,0.742297] area_under_roc_curve 0.7014245148489325 [0.662301,0.633976,0.63378,0.681613,0.642991,0.770028] area_under_roc_curve 0.6941895174701804 [0.683021,0.606916,0.615642,0.677859,0.670938,0.748459] area_under_roc_curve 0.6822496796029779 [0.668877,0.62466,0.630838,0.701261,0.626979,0.722969] area_under_roc_curve 0.7112622337859028 [0.703741,0.611792,0.655493,0.674972,0.659238,0.771089] area_under_roc_curve 0.6764967503123578 [0.635677,0.615231,0.626144,0.644858,0.608085,0.744223] area_under_roc_curve 0.7117148008600911 [0.680946,0.626536,0.642609,0.629374,0.697862,0.783792] 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 0.5169534883939148 [0.393782,0.222222,0.345324,0.375,0.330275,0.754591] f_measure 0.5747882408139928 [0.507463,0.352941,0.420168,0.513274,0.468468,0.732026] f_measure 0.5318960294117075 [0.412698,0.337662,0.344828,0.384615,0.422018,0.737679] f_measure 0.5182020191698951 [0.43,0.303797,0.359375,0.4,0.326923,0.719064] f_measure 0.5545069008916526 [0.45098,0.383562,0.386555,0.458716,0.375,0.747941] f_measure 0.5496917557020695 [0.49,0.333333,0.350877,0.422764,0.455446,0.729032] f_measure 0.5375350136267426 [0.463054,0.366197,0.385965,0.478632,0.36,0.704362] f_measure 0.574677109721458 [0.530612,0.328767,0.446429,0.420168,0.423077,0.751613] f_measure 0.5184470092271447 [0.406091,0.338028,0.369748,0.375,0.316832,0.726688] f_measure 0.5704071983360209 [0.485149,0.366197,0.403361,0.348624,0.5,0.763458] kappa 0.3617799864468038 kappa 0.42996179215693725 kappa 0.37737305021172696 kappa 0.3576676384839649 kappa 0.4064082988872429 kappa 0.39874308082815996 kappa 0.3779656030170915 kappa 0.43191333312960295 kappa 0.35634755863129575 kappa 0.42776046942793255 kb_relative_information_score 0.38354164723648615 kb_relative_information_score 0.4584335299085869 kb_relative_information_score 0.40794950704092914 kb_relative_information_score 0.3882114507724447 kb_relative_information_score 0.4315584735762015 kb_relative_information_score 0.4284785968429883 kb_relative_information_score 0.4155596421853187 kb_relative_information_score 0.4539385091383966 kb_relative_information_score 0.3898061837004269 kb_relative_information_score 0.4485446183248497 mean_absolute_error 0.15087145969498872 mean_absolute_error 0.13344226579520685 mean_absolute_error 0.14433551198257052 mean_absolute_error 0.1519607843137251 mean_absolute_error 0.13943355119825687 mean_absolute_error 0.13997821350762504 mean_absolute_error 0.1448801742919387 mean_absolute_error 0.13235294117647048 mean_absolute_error 0.1494817239498087 mean_absolute_error 0.13366066557555906 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 0.5098058161524418 [0.452381,0.333333,0.369231,0.42,0.391304,0.658892] precision 0.590224593738397 [0.554348,0.6,0.568182,0.568627,0.541667,0.627451] precision 0.5400996626785722 [0.481481,0.464286,0.487805,0.47619,0.5,0.620321] precision 0.5155117858418047 [0.472527,0.4,0.433962,0.433962,0.404762,0.626822] precision 0.5621430919735749 [0.484211,0.583333,0.522727,0.531915,0.42,0.644886] precision 0.5714713587222071 [0.538462,0.647059,0.512821,0.42623,0.589744,0.619178] precision 0.5545981624154999 [0.5,0.590909,0.564103,0.509091,0.473684,0.598901] precision 0.5930760241105069 [0.597701,0.5,0.675676,0.431034,0.52381,0.64011] precision 0.5249083142934297 [0.454545,0.521739,0.5,0.411765,0.410256,0.617486] precision 0.5790038652000352 [0.526882,0.565217,0.533333,0.395833,0.6,0.655462] predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5996732026143791 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5441176470588236 predictive_accuracy 0.5816993464052288 predictive_accuracy 0.5800653594771242 predictive_accuracy 0.565359477124183 predictive_accuracy 0.6029411764705883 predictive_accuracy 0.5515548281505729 predictive_accuracy 0.5990180032733224 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 0.5473856209150327 [0.348624,0.166667,0.324324,0.33871,0.285714,0.882812] recall 0.5996732026143791 [0.46789,0.25,0.333333,0.467742,0.412698,0.878431] recall 0.5669934640522876 [0.361111,0.265306,0.266667,0.322581,0.365079,0.909804] recall 0.5441176470588235 [0.394495,0.244898,0.306667,0.370968,0.274194,0.843137] recall 0.5816993464052288 [0.422018,0.285714,0.306667,0.403226,0.33871,0.890196] recall 0.5800653594771242 [0.449541,0.22449,0.266667,0.419355,0.370968,0.886275] recall 0.565359477124183 [0.431193,0.265306,0.293333,0.451613,0.290323,0.854902] recall 0.6029411764705882 [0.477064,0.244898,0.333333,0.409836,0.354839,0.910156] recall 0.5515548281505729 [0.366972,0.25,0.293333,0.344262,0.258065,0.882812] recall 0.5990180032733224 [0.449541,0.270833,0.324324,0.311475,0.428571,0.914062] relative_absolute_error 0.601860915627256 relative_absolute_error 0.531990975463345 relative_absolute_error 0.5752958083798373 relative_absolute_error 0.6057886527996073 relative_absolute_error 0.5558490864397836 relative_absolute_error 0.5580203719336889 relative_absolute_error 0.5775619413788373 relative_absolute_error 0.5279849793082314 relative_absolute_error 0.5965341510020884 relative_absolute_error 0.5333738120774312 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 0.38842175491981484 root_mean_squared_error 0.3652975031330037 root_mean_squared_error 0.37991513786972286 root_mean_squared_error 0.3898214774915886 root_mean_squared_error 0.373408022407469 root_mean_squared_error 0.37413662411961895 root_mean_squared_error 0.3806312839112659 root_mean_squared_error 0.3638034375544993 root_mean_squared_error 0.3866286641595637 root_mean_squared_error 0.3655963150464718 root_relative_squared_error 1.0973966950175724 root_relative_squared_error 1.0314034366862186 root_relative_squared_error 1.0724465350894963 root_relative_squared_error 1.1005920922064711 root_relative_squared_error 1.054251600688125 root_relative_squared_error 1.0563086789382008 root_relative_squared_error 1.074645203786071 root_relative_squared_error 1.0278407245659178 root_relative_squared_error 1.0927288701041362 root_relative_squared_error 1.033239541732381 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 11681.717986000876 usercpu_time_millis 10381.278994005697 usercpu_time_millis 11888.228547002655 usercpu_time_millis 10198.646810003993 usercpu_time_millis 8398.798850001185 usercpu_time_millis 8943.267794998974 usercpu_time_millis 9276.132015998883 usercpu_time_millis 11837.4946240001 usercpu_time_millis 9807.564566999645 usercpu_time_millis 10830.34422700075 usercpu_time_millis_testing 430.9482780008693 usercpu_time_millis_testing 283.0232930027705 usercpu_time_millis_testing 446.88167400090606 usercpu_time_millis_testing 288.6320400029945 usercpu_time_millis_testing 282.35909000068204 usercpu_time_millis_testing 287.4685930000851 usercpu_time_millis_testing 299.3847750003624 usercpu_time_millis_testing 282.4284339985752 usercpu_time_millis_testing 454.70534899868653 usercpu_time_millis_testing 451.96522300102515 usercpu_time_millis_training 11250.769708000007 usercpu_time_millis_training 10098.255701002927 usercpu_time_millis_training 11441.346873001748 usercpu_time_millis_training 9910.014770000998 usercpu_time_millis_training 8116.439760000503 usercpu_time_millis_training 8655.799201998889 usercpu_time_millis_training 8976.74724099852 usercpu_time_millis_training 11555.066190001526 usercpu_time_millis_training 9352.859218000958 usercpu_time_millis_training 10378.379003999726 wall_clock_time_millis 11682.57474899292 wall_clock_time_millis 10382.046461105347 wall_clock_time_millis 11892.837047576904 wall_clock_time_millis 10202.798128128052 wall_clock_time_millis 8400.943756103516 wall_clock_time_millis 8945.876121520996 wall_clock_time_millis 9278.677701950073 wall_clock_time_millis 11837.730646133423 wall_clock_time_millis 9807.783603668213 wall_clock_time_millis 10830.581426620483 wall_clock_time_millis_testing 430.96470832824707 wall_clock_time_millis_testing 283.0348014831543 wall_clock_time_millis_testing 446.93541526794434 wall_clock_time_millis_testing 288.70224952697754 wall_clock_time_millis_testing 282.37080574035645 wall_clock_time_millis_testing 287.4796390533447 wall_clock_time_millis_testing 299.44849014282227 wall_clock_time_millis_testing 282.4399471282959 wall_clock_time_millis_testing 454.72073554992676 wall_clock_time_millis_testing 451.9820213317871 wall_clock_time_millis_training 11251.610040664673 wall_clock_time_millis_training 10099.011659622192 wall_clock_time_millis_training 11445.90163230896 wall_clock_time_millis_training 9914.095878601074 wall_clock_time_millis_training 8118.572950363159 wall_clock_time_millis_training 8658.396482467651 wall_clock_time_millis_training 8979.229211807251 wall_clock_time_millis_training 11555.290699005127 wall_clock_time_millis_training 9353.062868118286 wall_clock_time_millis_training 10378.599405288696