10330653 8323 Heinrich Peters 9957 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186221 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 0.07077231909653779 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9005967890758899 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 2.867595836610148 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 10664 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. 1494 qsar-biodeg https://www.openml.org/data/download/1592286/phpGUrE90 -1 21583005 description https://api.openml.org/data/download/21583005/description.xml -1 21583006 predictions https://api.openml.org/data/download/21583006/predictions.arff area_under_roc_curve 0.795444133674109 [0.795444,0.795444] average_cost 0 f_measure 0.807056729915738 [0.848306,0.726064] kappa 0.5750359791008353 kb_relative_information_score 0.5426176415507282 mean_absolute_error 0.195260663507109 mean_prior_absolute_error 0.4472489877907172 number_of_instances 1055 [699,356] precision 0.8117405745565605 [0.874052,0.689394] predictive_accuracy 0.804739336492891 prior_entropy 0.9223489114631099 recall 0.804739336492891 [0.824034,0.766854] relative_absolute_error 0.43658156605706616 root_mean_prior_squared_error 0.4728367451299802 root_mean_squared_error 0.4418830880528344 root_relative_squared_error 0.9345362698733645 total_cost 0 area_under_roc_curve 0.803968253968254 [0.803968,0.803968] area_under_roc_curve 0.7817460317460317 [0.781746,0.781746] area_under_roc_curve 0.7194444444444446 [0.719444,0.719444] area_under_roc_curve 0.796031746031746 [0.796032,0.796032] area_under_roc_curve 0.7888888888888889 [0.788889,0.788889] area_under_roc_curve 0.8214285714285714 [0.821429,0.821429] area_under_roc_curve 0.8642857142857143 [0.864286,0.864286] area_under_roc_curve 0.7714285714285715 [0.771429,0.771429] area_under_roc_curve 0.7785714285714286 [0.778571,0.778571] area_under_roc_curve 0.8303140096618358 [0.830314,0.830314] 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 0.8289586576060134 [0.873239,0.742857] f_measure 0.7869219262629945 [0.827068,0.708861] f_measure 0.7461114075914249 [0.805755,0.630137] f_measure 0.8046502763483896 [0.844444,0.727273] f_measure 0.7957888352143493 [0.835821,0.717949] f_measure 0.8141025641025641 [0.846154,0.75] f_measure 0.8598769651401231 [0.887218,0.805195] f_measure 0.7992599444958371 [0.851064,0.695652] f_measure 0.7930577636459989 [0.838235,0.702703] f_measure 0.8395343915343916 [0.874074,0.773333] kappa 0.6162510056315367 kappa 0.5380826070481244 kappa 0.43594797004335817 kappa 0.5727447216890595 kappa 0.5553012967200611 kappa 0.6 kappa 0.693877551020408 kappa 0.5467625899280576 kappa 0.5416666666666666 kappa 0.6477205447010065 kb_relative_information_score 0.6031426489751599 kb_relative_information_score 0.4929044959127042 kb_relative_information_score 0.40471397346273963 kb_relative_information_score 0.5369997571376866 kb_relative_information_score 0.5149521265251955 kb_relative_information_score 0.5518863451451521 kb_relative_information_score 0.6639147588588642 kb_relative_information_score 0.5294806624024099 kb_relative_information_score 0.5070749796596673 kb_relative_information_score 0.6229023471856754 mean_absolute_error 0.16981132075471697 mean_absolute_error 0.2169811320754717 mean_absolute_error 0.25471698113207547 mean_absolute_error 0.19811320754716982 mean_absolute_error 0.20754716981132076 mean_absolute_error 0.19047619047619047 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.2 mean_absolute_error 0.20952380952380953 mean_absolute_error 0.1619047619047619 mean_prior_absolute_error 0.44795701611895594 mean_prior_absolute_error 0.44795701611895594 mean_prior_absolute_error 0.44795701611895594 mean_prior_absolute_error 0.44795701611895594 mean_prior_absolute_error 0.44795701611895594 mean_prior_absolute_error 0.4459161147902875 mean_prior_absolute_error 0.4459161147902875 mean_prior_absolute_error 0.4459161147902875 mean_prior_absolute_error 0.4459161147902875 mean_prior_absolute_error 0.4490066225165568 number_of_instances 106 [70,36] number_of_instances 106 [70,36] number_of_instances 106 [70,36] number_of_instances 106 [70,36] number_of_instances 106 [70,36] number_of_instances 105 [70,35] number_of_instances 105 [70,35] number_of_instances 105 [70,35] number_of_instances 105 [70,35] number_of_instances 105 [69,36] precision 0.8283697126649402 [0.861111,0.764706] precision 0.7976695431719565 [0.873016,0.651163] precision 0.7470752130309145 [0.811594,0.621622] precision 0.8110375588516409 [0.876923,0.682927] precision 0.8042452830188679 [0.875,0.666667] precision 0.8333333333333331 [0.916667,0.666667] precision 0.8703703703703703 [0.936508,0.738095] precision 0.7986743993371996 [0.84507,0.705882] precision 0.7979797979797979 [0.863636,0.666667] precision 0.8423909423909424 [0.893939,0.74359] predictive_accuracy 0.8301886792452831 predictive_accuracy 0.7830188679245284 predictive_accuracy 0.7452830188679245 predictive_accuracy 0.8018867924528301 predictive_accuracy 0.7924528301886792 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8 predictive_accuracy 0.7904761904761906 predictive_accuracy 0.8380952380952381 prior_entropy 0.9244684601250366 prior_entropy 0.9244684601250366 prior_entropy 0.9244684601250366 prior_entropy 0.9244684601250366 prior_entropy 0.9244684601250366 prior_entropy 0.9183588321514313 prior_entropy 0.9183588321514313 prior_entropy 0.9183588321514313 prior_entropy 0.9183588321514313 prior_entropy 0.9276105545114621 recall 0.8301886792452831 [0.885714,0.722222] recall 0.7830188679245284 [0.785714,0.777778] recall 0.7452830188679245 [0.8,0.638889] recall 0.8018867924528302 [0.814286,0.777778] recall 0.7924528301886793 [0.8,0.777778] recall 0.8095238095238095 [0.785714,0.857143] recall 0.8571428571428571 [0.842857,0.885714] recall 0.8 [0.857143,0.685714] recall 0.7904761904761904 [0.814286,0.742857] recall 0.8380952380952381 [0.855072,0.805556] relative_absolute_error 0.37907949790794937 relative_absolute_error 0.4843793584379352 relative_absolute_error 0.568619246861924 relative_absolute_error 0.4422594142259409 relative_absolute_error 0.4633193863319381 relative_absolute_error 0.4271570014144267 relative_absolute_error 0.32036775106082 relative_absolute_error 0.448514851485148 relative_absolute_error 0.46987270155586935 relative_absolute_error 0.36058435173479375 root_mean_prior_squared_error 0.4735848560430875 root_mean_prior_squared_error 0.4735848560430875 root_mean_prior_squared_error 0.4735848560430875 root_mean_prior_squared_error 0.4735848560430875 root_mean_prior_squared_error 0.4735848560430875 root_mean_prior_squared_error 0.47142519506776837 root_mean_prior_squared_error 0.47142519506776837 root_mean_prior_squared_error 0.47142519506776837 root_mean_prior_squared_error 0.47142519506776837 root_mean_prior_squared_error 0.4746917128736847 root_mean_squared_error 0.4120816918460671 root_mean_squared_error 0.4658123356840947 root_mean_squared_error 0.5046949386828399 root_mean_squared_error 0.4450990985692622 root_mean_squared_error 0.45557345160942025 root_mean_squared_error 0.4364357804719847 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.45773770821706344 root_mean_squared_error 0.40237390808147827 root_relative_squared_error 0.8701327472527443 root_relative_squared_error 0.9835879034985746 root_relative_squared_error 1.0656906196276723 root_relative_squared_error 0.9398507846897165 root_relative_squared_error 0.9619679468128336 root_relative_squared_error 0.9257794980797456 root_relative_squared_error 0.8017485636398667 root_relative_squared_error 0.9486416936957943 root_relative_squared_error 0.9709657290405589 root_relative_squared_error 0.8476531128921347 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 77.7122319999961 usercpu_time_millis 82.34101400000782 usercpu_time_millis 88.25705199998879 usercpu_time_millis 85.57947500000296 usercpu_time_millis 73.72002500000008 usercpu_time_millis 79.15438300001654 usercpu_time_millis 81.16960899999981 usercpu_time_millis 69.15684700000213 usercpu_time_millis 56.633425000001125 usercpu_time_millis 59.85585000000526 usercpu_time_millis_testing 3.0342189999998936 usercpu_time_millis_testing 3.089310000007117 usercpu_time_millis_testing 3.0914779999875464 usercpu_time_millis_testing 3.1387159999951564 usercpu_time_millis_testing 3.101201999996306 usercpu_time_millis_testing 3.0505210000058014 usercpu_time_millis_testing 3.069581000005428 usercpu_time_millis_testing 1.8833880000102 usercpu_time_millis_testing 3.0710859999913964 usercpu_time_millis_testing 1.9990990000025022 usercpu_time_millis_training 74.67801299999621 usercpu_time_millis_training 79.2517040000007 usercpu_time_millis_training 85.16557400000124 usercpu_time_millis_training 82.4407590000078 usercpu_time_millis_training 70.61882300000377 usercpu_time_millis_training 76.10386200001074 usercpu_time_millis_training 78.10002799999438 usercpu_time_millis_training 67.27345899999193 usercpu_time_millis_training 53.56233900000973 usercpu_time_millis_training 57.85675100000276 wall_clock_time_millis 77.75497436523438 wall_clock_time_millis 82.37266540527344 wall_clock_time_millis 88.27781677246094 wall_clock_time_millis 85.59751510620117 wall_clock_time_millis 73.73690605163574 wall_clock_time_millis 79.16998863220215 wall_clock_time_millis 81.18700981140137 wall_clock_time_millis 69.1683292388916 wall_clock_time_millis 56.64682388305664 wall_clock_time_millis 59.868574142456055 wall_clock_time_millis_testing 3.039836883544922 wall_clock_time_millis_testing 3.0946731567382812 wall_clock_time_millis_testing 3.1003952026367188 wall_clock_time_millis_testing 3.1464099884033203 wall_clock_time_millis_testing 3.1080245971679688 wall_clock_time_millis_testing 3.057241439819336 wall_clock_time_millis_testing 3.077268600463867 wall_clock_time_millis_testing 1.8873214721679688 wall_clock_time_millis_testing 3.0765533447265625 wall_clock_time_millis_testing 2.0036697387695312 wall_clock_time_millis_training 74.71513748168945 wall_clock_time_millis_training 79.27799224853516 wall_clock_time_millis_training 85.17742156982422 wall_clock_time_millis_training 82.45110511779785 wall_clock_time_millis_training 70.62888145446777 wall_clock_time_millis_training 76.11274719238281 wall_clock_time_millis_training 78.1097412109375 wall_clock_time_millis_training 67.28100776672363 wall_clock_time_millis_training 53.57027053833008 wall_clock_time_millis_training 57.86490440368652