10330469 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186069 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 877.9239202633385 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5310687015843991 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.01855031591678096 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 3886 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. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21582636 description https://api.openml.org/data/download/21582636/description.xml -1 21582637 predictions https://api.openml.org/data/download/21582637/predictions.arff area_under_roc_curve 0.6895002488275896 [0.6895,0.6895] average_cost 0 f_measure 0.6921356816654041 [0.661186,0.718262] kappa 0.37948273192772797 kb_relative_information_score 0.37831274896430694 mean_absolute_error 0.3076512929885364 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.6919999693152199 [0.666667,0.713385] predictive_accuracy 0.6923487070114637 prior_entropy 0.9948419333531207 recall 0.6923487070114636 [0.655795,0.723206] relative_absolute_error 0.619726359292487 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5546632248387632 root_relative_squared_error 1.1133092415950847 total_cost 0 area_under_roc_curve 0.6965914272685819 [0.696591,0.696591] area_under_roc_curve 0.6726715545881544 [0.672672,0.672672] area_under_roc_curve 0.7004095543590331 [0.70041,0.70041] area_under_roc_curve 0.7064239890021766 [0.706424,0.706424] area_under_roc_curve 0.6740033222591362 [0.674003,0.674003] area_under_roc_curve 0.6733159582999199 [0.673316,0.673316] area_under_roc_curve 0.6648384694695842 [0.664838,0.664838] area_under_roc_curve 0.7020123839009289 [0.702012,0.702012] area_under_roc_curve 0.7248452012383901 [0.724845,0.724845] area_under_roc_curve 0.679953560371517 [0.679954,0.679954] 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 0.6992429290171376 [0.668622,0.725061] f_measure 0.6762597993677132 [0.636637,0.709832] f_measure 0.7034342906000101 [0.670623,0.731235] f_measure 0.7070519262981575 [0.6875,0.723618] f_measure 0.6769164782636781 [0.643068,0.705596] f_measure 0.6749178246697547 [0.649425,0.696517] f_measure 0.6683575925072932 [0.628743,0.701923] f_measure 0.7057577679137603 [0.668675,0.736842] f_measure 0.7256905301216872 [0.704871,0.743142] f_measure 0.6825893065842588 [0.651026,0.709046] kappa 0.3937214611872147 kappa 0.34703774589515196 kappa 0.4020685197155785 kappa 0.41138698630136994 kappa 0.3487808028474245 kappa 0.346017496712219 kappa 0.3311469750582549 kappa 0.4059448716840922 kappa 0.4482064029486137 kappa 0.3600774360077435 kb_relative_information_score 0.39265483937518375 kb_relative_information_score 0.34811799253670683 kb_relative_information_score 0.4019925386080525 kb_relative_information_score 0.4073799932151865 kb_relative_information_score 0.3481179925367071 kb_relative_information_score 0.34273053792957264 kb_relative_information_score 0.33195562871530354 kb_relative_information_score 0.40699175497007817 kb_relative_information_score 0.444728643290162 kb_relative_information_score 0.35847289855854003 mean_absolute_error 0.300531914893617 mean_absolute_error 0.32266666666666666 mean_absolute_error 0.296 mean_absolute_error 0.29333333333333333 mean_absolute_error 0.32266666666666666 mean_absolute_error 0.3253333333333333 mean_absolute_error 0.33066666666666666 mean_absolute_error 0.29333333333333333 mean_absolute_error 0.27466666666666667 mean_absolute_error 0.31733333333333336 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.6991070434819101 [0.674556,0.719807] precision 0.6763593583715486 [0.658385,0.691589] precision 0.7033616161616162 [0.684848,0.719048] precision 0.7080797720797721 [0.672222,0.738462] precision 0.6767410563488407 [0.652695,0.697115] precision 0.6753223694228719 [0.642045,0.703518] precision 0.6683387237002261 [0.648148,0.685446] precision 0.7058617286817206 [0.689441,0.719626] precision 0.7265529002452519 [0.691011,0.756345] precision 0.6825216642754662 [0.652941,0.707317] predictive_accuracy 0.6994680851063829 predictive_accuracy 0.6773333333333333 predictive_accuracy 0.7040000000000001 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.6773333333333333 predictive_accuracy 0.6746666666666666 predictive_accuracy 0.6693333333333333 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.7253333333333333 predictive_accuracy 0.6826666666666666 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.699468085106383 [0.662791,0.730392] recall 0.6773333333333333 [0.616279,0.729064] recall 0.704 [0.656977,0.743842] recall 0.7066666666666667 [0.703488,0.70936] recall 0.6773333333333333 [0.633721,0.714286] recall 0.6746666666666666 [0.656977,0.689655] recall 0.6693333333333333 [0.610465,0.719212] recall 0.7066666666666667 [0.649123,0.754902] recall 0.7253333333333334 [0.719298,0.730392] recall 0.6826666666666666 [0.649123,0.710784] relative_absolute_error 0.6054159076763189 relative_absolute_error 0.6498710598848841 relative_absolute_error 0.5961627078282821 relative_absolute_error 0.5907918726226219 relative_absolute_error 0.6498710598848841 relative_absolute_error 0.6552418950905442 relative_absolute_error 0.6659835655018647 relative_absolute_error 0.5910600079890387 relative_absolute_error 0.5534470983897363 relative_absolute_error 0.6394194631881419 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.5482079121041733 root_mean_squared_error 0.5680375574437545 root_mean_squared_error 0.5440588203494178 root_mean_squared_error 0.5416025603090641 root_mean_squared_error 0.5680375574437545 root_mean_squared_error 0.570379990298865 root_mean_squared_error 0.5750362307426087 root_mean_squared_error 0.5416025603090641 root_mean_squared_error 0.5240865068542279 root_mean_squared_error 0.5633234713140696 root_relative_squared_error 1.1004080207991587 root_relative_squared_error 1.1399751094511037 root_relative_squared_error 1.0918530036406573 root_relative_squared_error 1.0869236195327767 root_relative_squared_error 1.1399751094511037 root_relative_squared_error 1.1446760576813637 root_relative_squared_error 1.1540205070754743 root_relative_squared_error 1.0874169644990834 root_relative_squared_error 1.0522486416850398 root_relative_squared_error 1.1310277020438604 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 171868.61413301085 usercpu_time_millis 153019.63532998343 usercpu_time_millis 177156.0193309997 usercpu_time_millis 122758.03502299823 usercpu_time_millis 137766.42772000923 usercpu_time_millis 102292.94268200465 usercpu_time_millis 136700.80663301633 usercpu_time_millis 111693.59841798723 usercpu_time_millis 162173.28989999078 usercpu_time_millis 165495.19077601144 usercpu_time_millis_testing 1623.271342003136 usercpu_time_millis_testing 1548.6994379898533 usercpu_time_millis_testing 1507.7726890012855 usercpu_time_millis_testing 1563.9939739921829 usercpu_time_millis_testing 1495.952979006688 usercpu_time_millis_testing 1501.310908002779 usercpu_time_millis_testing 1532.1107790077804 usercpu_time_millis_testing 1472.2097319900058 usercpu_time_millis_testing 1561.8824549892452 usercpu_time_millis_testing 1467.2321180114523 usercpu_time_millis_training 170245.34279100772 usercpu_time_millis_training 151470.93589199358 usercpu_time_millis_training 175648.2466419984 usercpu_time_millis_training 121194.04104900605 usercpu_time_millis_training 136270.47474100254 usercpu_time_millis_training 100791.63177400187 usercpu_time_millis_training 135168.69585400855 usercpu_time_millis_training 110221.38868599723 usercpu_time_millis_training 160611.40744500153 usercpu_time_millis_training 164027.958658 wall_clock_time_millis 175460.45351028442 wall_clock_time_millis 158617.74802207947 wall_clock_time_millis 190315.71698188782 wall_clock_time_millis 133317.36254692078 wall_clock_time_millis 147996.94085121155 wall_clock_time_millis 108480.99732398987 wall_clock_time_millis 143059.09037590027 wall_clock_time_millis 120415.55333137512 wall_clock_time_millis 177227.71549224854 wall_clock_time_millis 182223.80137443542 wall_clock_time_millis_testing 1623.4667301177979 wall_clock_time_millis_testing 1652.979850769043 wall_clock_time_millis_testing 1607.9351902008057 wall_clock_time_millis_testing 1628.1769275665283 wall_clock_time_millis_testing 1528.0876159667969 wall_clock_time_millis_testing 1501.4944076538086 wall_clock_time_millis_testing 1532.2792530059814 wall_clock_time_millis_testing 1504.5170783996582 wall_clock_time_millis_testing 1842.0751094818115 wall_clock_time_millis_testing 1827.5525569915771 wall_clock_time_millis_training 173836.98678016663 wall_clock_time_millis_training 156964.76817131042 wall_clock_time_millis_training 188707.781791687 wall_clock_time_millis_training 131689.18561935425 wall_clock_time_millis_training 146468.85323524475 wall_clock_time_millis_training 106979.50291633606 wall_clock_time_millis_training 141526.8111228943 wall_clock_time_millis_training 118911.03625297546 wall_clock_time_millis_training 175385.64038276672 wall_clock_time_millis_training 180396.24881744385