10435790 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) 8255881 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.10624363454623975 13389 cache_size 200 13389 class_weight null 13389 coef0 0.4927944639918054 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.4389095597471219 13389 kernel "poly" 13389 max_iter -1 13389 probability true 13389 random_state 1 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 21794492 description https://api.openml.org/data/download/21794492/description.xml -1 21794493 predictions https://api.openml.org/data/download/21794493/predictions.arff area_under_roc_curve 0.791925136527782 [0.745473,0.73283,0.784254,0.729182,0.783187,0.842516] average_cost 0 f_measure 0.4570335231333402 [0.456613,0.122378,0.340088,0.165249,0.14531,0.701796] kappa 0.28963677014131334 kb_relative_information_score 0.21614151652206176 mean_absolute_error 0.21947717784993903 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5274599542334096 [0.451791,0.072016,0.258021,0.110211,0.088141,0.933438] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.4856451996118143 [0.461538,0.406977,0.498708,0.330097,0.413534,0.562264] predictive_accuracy 0.5274599542334095 prior_entropy 2.3000072984859514 relative_absolute_error 0.8752319940794357 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3236467760785998 root_relative_squared_error 0.9140629614782902 total_cost 0 unweighted_recall 0.3189363253607133 [0.451791,0.072016,0.258021,0.110211,0.088141,0.933438] area_under_roc_curve 0.8010623604383741 [0.78827,0.717568,0.788029,0.746056,0.804059,0.838516] area_under_roc_curve 0.7918558185452492 [0.746849,0.75676,0.801837,0.73717,0.775783,0.832032] area_under_roc_curve 0.7918442792876857 [0.725841,0.7041,0.788156,0.734927,0.753043,0.861169] area_under_roc_curve 0.7956887411140127 [0.741304,0.712981,0.820087,0.687801,0.770132,0.860098] area_under_roc_curve 0.7827865522368488 [0.694138,0.789067,0.745214,0.739443,0.811862,0.833992] area_under_roc_curve 0.7867873225696527 [0.741806,0.750208,0.782384,0.757507,0.733607,0.834388] area_under_roc_curve 0.7856292594412153 [0.773551,0.712709,0.761142,0.758255,0.763622,0.824013] area_under_roc_curve 0.8110237257293926 [0.70427,0.787581,0.835407,0.75154,0.837419,0.861602] area_under_roc_curve 0.7939489557239916 [0.77893,0.665261,0.801642,0.694352,0.791997,0.846424] area_under_roc_curve 0.7914036793933522 [0.762318,0.745763,0.750315,0.690015,0.813579,0.842925] 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 0.46951582095681077 [0.504587,0.038462,0.324786,0.224719,0.162162,0.712166] f_measure 0.47732200064606484 [0.490566,0.115385,0.383333,0.197531,0.2,0.703976] f_measure 0.45868572424890985 [0.418182,0.15873,0.381818,0.25,0.085714,0.698972] f_measure 0.4678579708922582 [0.486726,0.066667,0.414414,0.054054,0.162162,0.727541] f_measure 0.4299335775079298 [0.396313,0.178571,0.277778,0.197802,0.030303,0.690962] f_measure 0.43569702246111675 [0.398058,0.071429,0.393162,0.166667,0.083333,0.685377] f_measure 0.45014352624543935 [0.488263,0.215385,0.273504,0.148148,0.103896,0.688525] f_measure 0.431572090707947 [0.409302,0.166667,0.353982,0.057143,0.029851,0.701001] f_measure 0.48576166452623437 [0.509259,0.172414,0.311927,0.209302,0.23913,0.711044] f_measure 0.44926689925853447 [0.462264,0,0.283186,0.106667,0.282353,0.69869] kappa 0.31187528509807366 kappa 0.31531271428055857 kappa 0.2895440851576622 kappa 0.3190275724660968 kappa 0.2547509505933395 kappa 0.2586711441592708 kappa 0.2785260826967654 kappa 0.2641052605835311 kappa 0.3223606015193013 kappa 0.2812814355712756 kb_relative_information_score 0.2228134713735236 kb_relative_information_score 0.21986044857689305 kb_relative_information_score 0.21250055710873808 kb_relative_information_score 0.22420917894172263 kb_relative_information_score 0.20322438060083609 kb_relative_information_score 0.21421441825494522 kb_relative_information_score 0.21865037022842565 kb_relative_information_score 0.2218134229622084 kb_relative_information_score 0.21926638992649508 kb_relative_information_score 0.20485294369543877 mean_absolute_error 0.2182680921092254 mean_absolute_error 0.21942050996113377 mean_absolute_error 0.21975351744248986 mean_absolute_error 0.21799713792401557 mean_absolute_error 0.2223971476900807 mean_absolute_error 0.220320527428455 mean_absolute_error 0.21886295249305346 mean_absolute_error 0.21763963450589516 mean_absolute_error 0.2190199484422401 mean_absolute_error 0.22109420559813478 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 0.49674823476833063 [0.504587,0.25,0.44186,0.37037,0.545455,0.574163] precision 0.5373414854175156 [0.504854,0.75,0.511111,0.421053,0.470588,0.563679] precision 0.507788196133957 [0.410714,0.357143,0.6,0.555556,0.428571,0.558685] precision 0.48684303178152605 [0.470085,0.181818,0.638889,0.166667,0.5,0.582547] precision 0.46969093820721036 [0.398148,0.714286,0.454545,0.310345,0.25,0.549884] precision 0.4485643828001887 [0.42268,0.285714,0.547619,0.235294,0.3,0.549763] precision 0.46114341007433113 [0.5,0.4375,0.380952,0.315789,0.266667,0.555288] precision 0.44857415931022493 [0.415094,0.454545,0.526316,0.222222,0.2,0.553047] precision 0.5086163348495157 [0.514019,0.5,0.5,0.36,0.366667,0.580247] precision 0.45263135067030286 [0.475728,0,0.410256,0.285714,0.545455,0.556845] predictive_accuracy 0.5408496732026145 predictive_accuracy 0.5441176470588236 predictive_accuracy 0.5277777777777778 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5065359477124183 predictive_accuracy 0.5049019607843137 predictive_accuracy 0.5163398692810458 predictive_accuracy 0.5179738562091503 predictive_accuracy 0.5433715220949263 predictive_accuracy 0.5253682487725041 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 relative_absolute_error 0.8707215667870686 relative_absolute_error 0.8747583116584116 relative_absolute_error 0.8758986317702349 relative_absolute_error 0.8690412667555039 relative_absolute_error 0.8865818184216943 relative_absolute_error 0.878303412934727 relative_absolute_error 0.8724928193631087 relative_absolute_error 0.8682123487383047 relative_absolute_error 0.874039150367185 relative_absolute_error 0.882277959340584 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 0.32238326715574483 root_mean_squared_error 0.3239260322860101 root_mean_squared_error 0.32287222078066125 root_mean_squared_error 0.32121118357498524 root_mean_squared_error 0.32659441012919027 root_mean_squared_error 0.325399454380625 root_mean_squared_error 0.3243035672701774 root_mean_squared_error 0.32153656037546685 root_mean_squared_error 0.32293719400015847 root_mean_squared_error 0.325262156933272 root_relative_squared_error 0.9108200748918291 root_relative_squared_error 0.9145926814897435 root_relative_squared_error 0.9114224729092224 root_relative_squared_error 0.9068830451460645 root_relative_squared_error 0.9220816345471367 root_relative_squared_error 0.9187078880417612 root_relative_squared_error 0.9156138443388057 root_relative_squared_error 0.9084256416385408 root_relative_squared_error 0.9127176224284207 root_relative_squared_error 0.9192481109387018 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 unweighted_recall 0.3293676106453555 [0.504587,0.020833,0.256757,0.16129,0.095238,0.9375] unweighted_recall 0.33991702897659676 [0.477064,0.0625,0.306667,0.129032,0.126984,0.937255] unweighted_recall 0.32503490763091375 [0.425926,0.102041,0.28,0.16129,0.047619,0.933333] unweighted_recall 0.32495497636758164 [0.504587,0.040816,0.306667,0.032258,0.096774,0.968627] unweighted_recall 0.29787305274284914 [0.394495,0.102041,0.2,0.145161,0.016129,0.929412] unweighted_recall 0.3018088430992403 [0.376147,0.040816,0.306667,0.129032,0.048387,0.909804] unweighted_recall 0.316737895315964 [0.477064,0.142857,0.213333,0.096774,0.064516,0.905882] unweighted_recall 0.29638739587796764 [0.40367,0.102041,0.266667,0.032787,0.016129,0.957031] unweighted_recall 0.34639159629031724 [0.504587,0.104167,0.226667,0.147541,0.177419,0.917969] unweighted_recall 0.30988457693131327 [0.449541,0,0.216216,0.065574,0.190476,0.9375] usercpu_time_millis 17590.247634999967 usercpu_time_millis 17542.157622000104 usercpu_time_millis 17371.6225390001 usercpu_time_millis 17221.764270999985 usercpu_time_millis 17439.049215000065 usercpu_time_millis 17401.340186999958 usercpu_time_millis 17758.44918300004 usercpu_time_millis 17531.97585200019 usercpu_time_millis 17522.50217899996 usercpu_time_millis 17465.98472200003 usercpu_time_millis_testing 152.76914400010355 usercpu_time_millis_testing 149.69341000005443 usercpu_time_millis_testing 152.50883300018359 usercpu_time_millis_testing 150.38646399989375 usercpu_time_millis_testing 152.01012900001842 usercpu_time_millis_testing 147.27384100001473 usercpu_time_millis_testing 153.18661900005281 usercpu_time_millis_testing 151.9862740001372 usercpu_time_millis_testing 153.2673449999038 usercpu_time_millis_testing 152.1750439999323 usercpu_time_millis_training 17437.478490999863 usercpu_time_millis_training 17392.46421200005 usercpu_time_millis_training 17219.113705999916 usercpu_time_millis_training 17071.37780700009 usercpu_time_millis_training 17287.039086000048 usercpu_time_millis_training 17254.066345999945 usercpu_time_millis_training 17605.262563999986 usercpu_time_millis_training 17379.98957800005 usercpu_time_millis_training 17369.234834000054 usercpu_time_millis_training 17313.8096780001 wall_clock_time_millis 17590.829372406006 wall_clock_time_millis 17542.15908050537 wall_clock_time_millis 17372.35164642334 wall_clock_time_millis 17223.501443862915 wall_clock_time_millis 17439.027786254883 wall_clock_time_millis 17406.437158584595 wall_clock_time_millis 17758.452892303467 wall_clock_time_millis 17534.08193588257 wall_clock_time_millis 17522.544145584106 wall_clock_time_millis 17466.00294113159 wall_clock_time_millis_testing 152.77099609375 wall_clock_time_millis_testing 149.69682693481445 wall_clock_time_millis_testing 152.5113582611084 wall_clock_time_millis_testing 150.3884792327881 wall_clock_time_millis_testing 152.01282501220703 wall_clock_time_millis_testing 147.2768783569336 wall_clock_time_millis_testing 153.18965911865234 wall_clock_time_millis_testing 152.14276313781738 wall_clock_time_millis_testing 153.27072143554688 wall_clock_time_millis_testing 152.18019485473633 wall_clock_time_millis_training 17438.058376312256 wall_clock_time_millis_training 17392.462253570557 wall_clock_time_millis_training 17219.84028816223 wall_clock_time_millis_training 17073.112964630127 wall_clock_time_millis_training 17287.014961242676 wall_clock_time_millis_training 17259.16028022766 wall_clock_time_millis_training 17605.263233184814 wall_clock_time_millis_training 17381.93917274475 wall_clock_time_millis_training 17369.27342414856 wall_clock_time_millis_training 17313.822746276855 weighted_recall 0.5408496732026143 [0.504587,0.020833,0.256757,0.16129,0.095238,0.9375] weighted_recall 0.5441176470588235 [0.477064,0.0625,0.306667,0.129032,0.126984,0.937255] weighted_recall 0.5277777777777778 [0.425926,0.102041,0.28,0.16129,0.047619,0.933333] weighted_recall 0.5473856209150327 [0.504587,0.040816,0.306667,0.032258,0.096774,0.968627] weighted_recall 0.5065359477124183 [0.394495,0.102041,0.2,0.145161,0.016129,0.929412] weighted_recall 0.5049019607843137 [0.376147,0.040816,0.306667,0.129032,0.048387,0.909804] weighted_recall 0.5163398692810458 [0.477064,0.142857,0.213333,0.096774,0.064516,0.905882] weighted_recall 0.5179738562091504 [0.40367,0.102041,0.266667,0.032787,0.016129,0.957031] weighted_recall 0.5433715220949263 [0.504587,0.104167,0.226667,0.147541,0.177419,0.917969] weighted_recall 0.5253682487725041 [0.449541,0,0.216216,0.065574,0.190476,0.9375]