10349848 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) 8205343 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 8829.986986237445 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 2.305877221785047 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 8100 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 21621397 description https://api.openml.org/data/download/21621397/description.xml -1 21621398 predictions https://api.openml.org/data/download/21621398/predictions.arff area_under_roc_curve 0.6858888368784544 [0.654662,0.614537,0.635501,0.654097,0.6526,0.743352] average_cost 0 f_measure 0.5342354044162632 [0.440488,0.322251,0.385936,0.397125,0.405634,0.722523] kappa 0.3766284658004217 kb_relative_information_score 0.408202996605214 mean_absolute_error 0.14639860520867906 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5371667623983027 [0.493729,0.425676,0.496842,0.445565,0.489796,0.622417] predictive_accuracy 0.5608041843739785 prior_entropy 2.3000072984859514 recall 0.5608041843739784 [0.397612,0.259259,0.315508,0.358185,0.346154,0.861002] relative_absolute_error 0.5838089610157425 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3826207067170817 root_relative_squared_error 1.080620732708289 total_cost 0 area_under_roc_curve 0.6859139421878104 [0.646552,0.589982,0.635713,0.625953,0.628936,0.763716] area_under_roc_curve 0.7019148458779679 [0.663678,0.640293,0.635642,0.716598,0.693339,0.747899] area_under_roc_curve 0.6746108286500113 [0.611772,0.609562,0.636574,0.629707,0.643898,0.743417] area_under_roc_curve 0.670285887668897 [0.661079,0.602911,0.604618,0.666276,0.618006,0.720168] area_under_roc_curve 0.6982738172285667 [0.644336,0.629536,0.645251,0.68695,0.635836,0.768067] area_under_roc_curve 0.6927852611119811 [0.672242,0.598923,0.630838,0.646628,0.722845,0.741737] area_under_roc_curve 0.6665743497946374 [0.662912,0.621996,0.615642,0.677067,0.604604,0.704202] area_under_roc_curve 0.703704523490503 [0.688985,0.609127,0.658436,0.648538,0.666393,0.763518] area_under_roc_curve 0.6699795942971007 [0.633475,0.600374,0.650945,0.634858,0.624214,0.723603] area_under_roc_curve 0.6949922388869308 [0.661208,0.642929,0.641678,0.607526,0.687189,0.757312] 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 0.5214768147854598 [0.423645,0.27027,0.363636,0.342342,0.358491,0.739353] f_measure 0.5637377944646041 [0.456853,0.37037,0.393162,0.527273,0.477876,0.726073] f_measure 0.5155296122506896 [0.361702,0.295455,0.396552,0.371134,0.385321,0.72524] f_measure 0.5090572728419654 [0.453608,0.289157,0.313433,0.413793,0.34,0.696817] f_measure 0.548078694795765 [0.42268,0.358974,0.406504,0.460177,0.363636,0.745875] f_measure 0.5495113611330255 [0.474227,0.293333,0.385965,0.388889,0.530973,0.722581] f_measure 0.5135282929250287 [0.449761,0.351351,0.350877,0.438596,0.315789,0.686084] f_measure 0.5639890233632266 [0.505155,0.315789,0.444444,0.388889,0.433962,0.744783] f_measure 0.5107259039416168 [0.404255,0.293333,0.416,0.341463,0.349515,0.703947] f_measure 0.5454151232453237 [0.44878,0.384615,0.4,0.300885,0.472727,0.734899] kappa 0.36388482806839123 kappa 0.41480118070804695 kappa 0.35343451549311955 kappa 0.3426620698979247 kappa 0.39867354458364035 kappa 0.3973228087987756 kappa 0.34510183100906133 kappa 0.4167167446863075 kappa 0.34310559666904733 kappa 0.3909379247847756 kb_relative_information_score 0.38781487029170836 kb_relative_information_score 0.44673602247857436 kb_relative_information_score 0.387922751069984 kb_relative_information_score 0.37792853061267595 kb_relative_information_score 0.4248491445367523 kb_relative_information_score 0.42909193536005075 kb_relative_information_score 0.38758194746875646 kb_relative_information_score 0.44146828974915076 kb_relative_information_score 0.37980937903099327 kb_relative_information_score 0.41879200690493495 mean_absolute_error 0.15141612200435692 mean_absolute_error 0.1377995642701523 mean_absolute_error 0.15032679738562055 mean_absolute_error 0.15577342047930237 mean_absolute_error 0.1416122004357296 mean_absolute_error 0.14052287581699324 mean_absolute_error 0.1525054466230933 mean_absolute_error 0.1356209150326796 mean_absolute_error 0.1543917075831965 mean_absolute_error 0.1440261865793778 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 0.5162028429722851 [0.457447,0.384615,0.376812,0.387755,0.44186,0.655589] precision 0.5717902613000652 [0.511364,0.454545,0.547619,0.604167,0.54,0.626781] precision 0.5244727886864056 [0.425,0.333333,0.560976,0.514286,0.456522,0.61186] precision 0.5078311752812502 [0.517647,0.352941,0.355932,0.444444,0.447368,0.608187] precision 0.5505283556546582 [0.482353,0.482759,0.520833,0.509804,0.416667,0.643875] precision 0.5609391888543983 [0.541176,0.423077,0.564103,0.456522,0.588235,0.613699] precision 0.5262854065126792 [0.47,0.52,0.512821,0.480769,0.454545,0.584022] precision 0.5760410393011816 [0.576471,0.444444,0.619048,0.446809,0.522727,0.632153] precision 0.5147350269336451 [0.481013,0.407407,0.52,0.33871,0.439024,0.607955] precision 0.5475046669197944 [0.479167,0.5,0.521739,0.326923,0.553191,0.644118] predictive_accuracy 0.545751633986928 predictive_accuracy 0.5866013071895425 predictive_accuracy 0.5490196078431372 predictive_accuracy 0.5326797385620915 predictive_accuracy 0.5751633986928105 predictive_accuracy 0.5784313725490197 predictive_accuracy 0.5424836601307189 predictive_accuracy 0.5931372549019608 predictive_accuracy 0.5368248772504092 predictive_accuracy 0.5679214402618658 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 0.545751633986928 [0.394495,0.208333,0.351351,0.306452,0.301587,0.847656] recall 0.5866013071895425 [0.412844,0.3125,0.306667,0.467742,0.428571,0.862745] recall 0.5490196078431373 [0.314815,0.265306,0.306667,0.290323,0.333333,0.890196] recall 0.5326797385620915 [0.40367,0.244898,0.28,0.387097,0.274194,0.815686] recall 0.5751633986928104 [0.376147,0.285714,0.333333,0.419355,0.322581,0.886275] recall 0.5784313725490197 [0.422018,0.22449,0.293333,0.33871,0.483871,0.878431] recall 0.5424836601307189 [0.431193,0.265306,0.266667,0.403226,0.241935,0.831373] recall 0.5931372549019608 [0.449541,0.244898,0.346667,0.344262,0.370968,0.90625] recall 0.5368248772504092 [0.348624,0.229167,0.346667,0.344262,0.290323,0.835938] recall 0.5679214402618658 [0.422018,0.3125,0.324324,0.278689,0.412698,0.855469] relative_absolute_error 0.6040336987161631 relative_absolute_error 0.5493621093560254 relative_absolute_error 0.5991760117465472 relative_absolute_error 0.6209876512569449 relative_absolute_error 0.5645342284154051 relative_absolute_error 0.5601916574275944 relative_absolute_error 0.6079599382935127 relative_absolute_error 0.5410216454639901 relative_absolute_error 0.6161283384437626 relative_absolute_error 0.5747374954630273 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 0.38912224557888864 root_mean_squared_error 0.3712136369668446 root_mean_squared_error 0.38771999869186596 root_mean_squared_error 0.3946814164352084 root_mean_squared_error 0.3763139652414319 root_mean_squared_error 0.37486380969225774 root_mean_squared_error 0.3905194574193369 root_mean_squared_error 0.36826745041162623 root_mean_squared_error 0.39292710212353193 root_mean_squared_error 0.3795078214996073 root_relative_squared_error 1.0993757709174714 root_relative_squared_error 1.0481074128037269 root_relative_squared_error 1.0944785499033765 root_relative_squared_error 1.1143132714610688 root_relative_squared_error 1.0624560170379982 root_relative_squared_error 1.0583617589684826 root_relative_squared_error 1.1025627152566475 root_relative_squared_error 1.040452739010816 root_relative_squared_error 1.1105301498275337 root_relative_squared_error 1.0725559077920819 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 15403.689381000731 usercpu_time_millis 13169.554800002516 usercpu_time_millis 12805.332074000034 usercpu_time_millis 16655.371827000636 usercpu_time_millis 16605.02980000092 usercpu_time_millis 17789.345302000584 usercpu_time_millis 13182.247547996667 usercpu_time_millis 12560.791726999014 usercpu_time_millis 18828.410517999146 usercpu_time_millis 18176.59601700143 usercpu_time_millis_testing 280.70326300075976 usercpu_time_millis_testing 280.64433699910296 usercpu_time_millis_testing 292.95503399771405 usercpu_time_millis_testing 442.4368330001016 usercpu_time_millis_testing 437.36097299915855 usercpu_time_millis_testing 442.8241509995132 usercpu_time_millis_testing 281.0559949975868 usercpu_time_millis_testing 424.5805059981649 usercpu_time_millis_testing 442.43261000156053 usercpu_time_millis_testing 443.8349070005643 usercpu_time_millis_training 15122.986117999972 usercpu_time_millis_training 12888.910463003413 usercpu_time_millis_training 12512.37704000232 usercpu_time_millis_training 16212.934994000534 usercpu_time_millis_training 16167.668827001762 usercpu_time_millis_training 17346.52115100107 usercpu_time_millis_training 12901.19155299908 usercpu_time_millis_training 12136.211221000849 usercpu_time_millis_training 18385.977907997585 usercpu_time_millis_training 17732.761110000865 wall_clock_time_millis 15409.204721450806 wall_clock_time_millis 13169.833183288574 wall_clock_time_millis 12805.636167526245 wall_clock_time_millis 16655.791759490967 wall_clock_time_millis 16605.31258583069 wall_clock_time_millis 17789.632558822632 wall_clock_time_millis 13184.848308563232 wall_clock_time_millis 12632.09342956543 wall_clock_time_millis 18836.401224136353 wall_clock_time_millis 18176.94926261902 wall_clock_time_millis_testing 280.7142734527588 wall_clock_time_millis_testing 280.6546688079834 wall_clock_time_millis_testing 292.9670810699463 wall_clock_time_millis_testing 442.45100021362305 wall_clock_time_millis_testing 437.3772144317627 wall_clock_time_millis_testing 442.8389072418213 wall_clock_time_millis_testing 281.0666561126709 wall_clock_time_millis_testing 427.77442932128906 wall_clock_time_millis_testing 442.4474239349365 wall_clock_time_millis_testing 443.8738822937012 wall_clock_time_millis_training 15128.490447998047 wall_clock_time_millis_training 12889.17851448059 wall_clock_time_millis_training 12512.669086456299 wall_clock_time_millis_training 16213.340759277344 wall_clock_time_millis_training 16167.935371398926 wall_clock_time_millis_training 17346.79365158081 wall_clock_time_millis_training 12903.781652450562 wall_clock_time_millis_training 12204.31900024414 wall_clock_time_millis_training 18393.953800201416 wall_clock_time_millis_training 17733.075380325317