10330496 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) 8186089 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 341.13570414927165 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.40925841203009883 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0879431242461166 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 22864 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 21582691 description https://api.openml.org/data/download/21582691/description.xml -1 21582692 predictions https://api.openml.org/data/download/21582692/predictions.arff area_under_roc_curve 0.5268892714362534 [0.526889,0.526889] average_cost 0 f_measure 0.43884640707283945 [0.114317,0.712798] kappa 0.05798095147539373 kb_relative_information_score 0.12349639736991792 mean_absolute_error 0.4337509997334044 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7020450197031823 [0.875,0.556045] predictive_accuracy 0.5662490002665956 prior_entropy 0.9948419333531207 recall 0.5662490002665955 [0.061153,0.992625] relative_absolute_error 0.8737389831619379 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.6585977526027585 root_relative_squared_error 1.3219246051142965 total_cost 0 area_under_roc_curve 0.5319767441860465 [0.531977,0.531977] area_under_roc_curve 0.5212366823232902 [0.521237,0.521237] area_under_roc_curve 0.5241436590674762 [0.524144,0.524144] area_under_roc_curve 0.5261627906976745 [0.526163,0.526163] area_under_roc_curve 0.5353276434872265 [0.535328,0.535328] area_under_roc_curve 0.5279384809256501 [0.527938,0.527938] area_under_roc_curve 0.5145348837209303 [0.514535,0.514535] area_under_roc_curve 0.5238648090815273 [0.523865,0.523865] area_under_roc_curve 0.5340557275541794 [0.534056,0.534056] area_under_roc_curve 0.5297127622979017 [0.529713,0.529713] 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 0.4440299887473746 [0.120219,0.717047] f_measure 0.42891722323416315 [0.098361,0.708995] f_measure 0.4343356378347929 [0.108696,0.710247] f_measure 0.43187219347050004 [0.099448,0.713533] f_measure 0.4518782887211164 [0.139785,0.716312] f_measure 0.4471445359288498 [0.137566,0.709447] f_measure 0.4094759073564646 [0.056497,0.708551] f_measure 0.43350975346881704 [0.099448,0.713533] f_measure 0.4605714285714286 [0.157895,0.714286] f_measure 0.44435053632867844 [0.120219,0.716049] kappa 0.06902066929133856 kappa 0.04574266282136321 kappa 0.051979282278949386 kappa 0.05640716898995046 kappa 0.07598484615147692 kappa 0.060005843726452034 kappa 0.03139741705977878 kappa 0.05166395159413552 kappa 0.07338769458858423 kappa 0.06425814850978749 kb_relative_information_score 0.1346675145080116 kb_relative_information_score 0.11106998982278761 kb_relative_information_score 0.11645744442992222 kb_relative_information_score 0.12184489903705675 kb_relative_information_score 0.1380072628584606 kb_relative_information_score 0.12184489903705688 kb_relative_information_score 0.10029508060851847 kb_relative_information_score 0.12126960054657697 kb_relative_information_score 0.1374425526837565 kb_relative_information_score 0.13205156863802997 mean_absolute_error 0.42819148936170215 mean_absolute_error 0.44 mean_absolute_error 0.43733333333333335 mean_absolute_error 0.43466666666666665 mean_absolute_error 0.4266666666666667 mean_absolute_error 0.43466666666666665 mean_absolute_error 0.44533333333333336 mean_absolute_error 0.43466666666666665 mean_absolute_error 0.4266666666666667 mean_absolute_error 0.42933333333333334 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 0.7606820169046925 [1,0.558904] precision 0.6741958041958043 [0.818182,0.552198] precision 0.6819687786960514 [0.833333,0.553719] precision 0.7589143897996357 [1,0.554645] precision 0.7288115024403112 [0.928571,0.559557] precision 0.6516538503669624 [0.764706,0.555866] precision 0.7556684684684685 [1,0.548649] precision 0.7129534246575343 [0.9,0.556164] precision 0.6656179775280899 [0.789474,0.561798] precision 0.7222203856749311 [0.916667,0.559229] predictive_accuracy 0.5718085106382979 predictive_accuracy 0.56 predictive_accuracy 0.5626666666666666 predictive_accuracy 0.5653333333333334 predictive_accuracy 0.5733333333333334 predictive_accuracy 0.5653333333333334 predictive_accuracy 0.5546666666666666 predictive_accuracy 0.5653333333333334 predictive_accuracy 0.5733333333333334 predictive_accuracy 0.5706666666666667 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 0.5718085106382979 [0.063953,1] recall 0.56 [0.052326,0.990148] recall 0.5626666666666666 [0.05814,0.990148] recall 0.5653333333333334 [0.052326,1] recall 0.5733333333333334 [0.075581,0.995074] recall 0.5653333333333334 [0.075581,0.980296] recall 0.5546666666666666 [0.02907,1] recall 0.5653333333333334 [0.052632,0.995098] recall 0.5733333333333334 [0.087719,0.980392] recall 0.5706666666666667 [0.064327,0.995098] relative_absolute_error 0.86258372686626 relative_absolute_error 0.8861878089339329 relative_absolute_error 0.8808169737282726 relative_absolute_error 0.8754461385226123 relative_absolute_error 0.8593336329056319 relative_absolute_error 0.8754461385226123 relative_absolute_error 0.8969294793452534 relative_absolute_error 0.8758434663837573 relative_absolute_error 0.8597236479840563 relative_absolute_error 0.8650969207839567 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 0.654363423001089 root_mean_squared_error 0.6633249580710799 root_mean_squared_error 0.6613118276073198 root_mean_squared_error 0.6592925501373929 root_mean_squared_error 0.6531972647421809 root_mean_squared_error 0.6592925501373929 root_mean_squared_error 0.6673330003329173 root_mean_squared_error 0.6592925501373929 root_mean_squared_error 0.6531972647421809 root_mean_squared_error 0.6552353266829661 root_relative_squared_error 1.3134920954062408 root_relative_squared_error 1.331204128617151 root_relative_squared_error 1.3271640460720957 root_relative_squared_error 1.3231116273109997 root_relative_squared_error 1.3108792079146283 root_relative_squared_error 1.3231116273109997 root_relative_squared_error 1.33924773129139 root_relative_squared_error 1.3237121759139239 root_relative_squared_error 1.3114742043311558 root_relative_squared_error 1.3155661774707306 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 45435.433509992436 usercpu_time_millis 45076.47342700511 usercpu_time_millis 45943.36064599338 usercpu_time_millis 45140.27648200863 usercpu_time_millis 45917.21350199077 usercpu_time_millis 44832.26159599144 usercpu_time_millis 44962.09916500084 usercpu_time_millis 45070.517052008654 usercpu_time_millis 44817.695785997785 usercpu_time_millis 44125.85281499196 usercpu_time_millis_testing 4450.398151995614 usercpu_time_millis_testing 4419.197355004144 usercpu_time_millis_testing 4630.790626993985 usercpu_time_millis_testing 4304.7217190032825 usercpu_time_millis_testing 4557.287588002509 usercpu_time_millis_testing 4301.591657989775 usercpu_time_millis_testing 4557.688250002684 usercpu_time_millis_testing 4383.365052999579 usercpu_time_millis_testing 4343.07415499643 usercpu_time_millis_testing 4392.834947997471 usercpu_time_millis_training 40985.03535799682 usercpu_time_millis_training 40657.27607200097 usercpu_time_millis_training 41312.570018999395 usercpu_time_millis_training 40835.55476300535 usercpu_time_millis_training 41359.92591398826 usercpu_time_millis_training 40530.669938001665 usercpu_time_millis_training 40404.41091499815 usercpu_time_millis_training 40687.151999009075 usercpu_time_millis_training 40474.621631001355 usercpu_time_millis_training 39733.01786699449 wall_clock_time_millis 45438.86971473694 wall_clock_time_millis 48043.15781593323 wall_clock_time_millis 47540.008544921875 wall_clock_time_millis 45175.77314376831 wall_clock_time_millis 45972.1143245697 wall_clock_time_millis 44907.13334083557 wall_clock_time_millis 45691.08748435974 wall_clock_time_millis 49155.9841632843 wall_clock_time_millis 49039.91484642029 wall_clock_time_millis 44131.340742111206 wall_clock_time_millis_testing 4450.785875320435 wall_clock_time_millis_testing 4940.080404281616 wall_clock_time_millis_testing 4663.743734359741 wall_clock_time_millis_testing 4305.1745891571045 wall_clock_time_millis_testing 4574.410200119019 wall_clock_time_millis_testing 4318.703413009644 wall_clock_time_millis_testing 4918.361186981201 wall_clock_time_millis_testing 4604.333877563477 wall_clock_time_millis_testing 4343.59073638916 wall_clock_time_millis_testing 4393.3374881744385 wall_clock_time_millis_training 40988.083839416504 wall_clock_time_millis_training 43103.07741165161 wall_clock_time_millis_training 42876.264810562134 wall_clock_time_millis_training 40870.598554611206 wall_clock_time_millis_training 41397.70412445068 wall_clock_time_millis_training 40588.42992782593 wall_clock_time_millis_training 40772.72629737854 wall_clock_time_millis_training 44551.650285720825 wall_clock_time_millis_training 44696.32411003113 wall_clock_time_millis_training 39738.00325393677