10329852 8323 Heinrich Peters 9964 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185467 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 23.39518166892507 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.024373975544459605 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 9555 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. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21581401 description https://api.openml.org/data/download/21581401/description.xml -1 21581402 predictions https://api.openml.org/data/download/21581402/predictions.arff area_under_roc_curve 0.8867447337110071 [0.863354,0.879619,0.885802,0.898325,0.901121,0.968172,0.892036,0.903727,0.920538,0.75057] average_cost 0 f_measure 0.823864408028207 [0.841727,0.505824,0.87108,0.878893,0.879725,0.916168,0.87108,0.893471,0.910959,0.661017] kappa 0.7733300701211183 kb_relative_information_score 0.7863881564970363 mean_absolute_error 0.040803515379786805 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.911152324260817 [1,0.343115,1,0.976923,0.969697,0.884393,0.976562,1,0.992537,0.962963] predictive_accuracy 0.7959824231010671 prior_entropy 3.3218194939376526 recall 0.7959824231010671 [0.726708,0.962025,0.771605,0.798742,0.805031,0.950311,0.786164,0.807453,0.841772,0.503226] relative_absolute_error 0.22668995462937527 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.2019988004414551 root_relative_squared_error 0.6733349509327138 total_cost 0 area_under_roc_curve 0.8784722222222221 [0.8125,0.861111,0.8125,0.965278,0.90625,0.989583,0.84375,1,0.90625,0.6875] area_under_roc_curve 0.8854166666666667 [0.90625,0.888889,0.875,0.8125,0.9375,0.934028,0.875,0.882353,0.90625,0.833333] area_under_roc_curve 0.8888885539747609 [0.84375,0.84375,0.84375,0.934028,0.836806,0.93768,0.9375,0.90625,0.90625,0.896552] area_under_roc_curve 0.8986013986013985 [0.875,0.916084,0.90625,0.871503,0.9375,0.95826,0.902753,0.90625,0.90625,0.8] area_under_roc_curve 0.8706779331779332 [0.90625,0.860358,0.882353,0.90625,0.90625,0.95826,0.840253,0.78125,0.929861,0.729861] area_under_roc_curve 0.8776223776223775 [0.84375,0.863855,0.852941,0.90625,0.934003,0.98951,0.840253,0.84375,0.966667,0.733333] area_under_roc_curve 0.8916083916083916 [0.852941,0.905594,0.90625,0.866667,0.90625,0.98951,0.933333,0.96875,0.90625,0.684003] area_under_roc_curve 0.899256993006993 [0.90625,0.872917,0.96875,0.9375,0.871503,0.965253,0.9375,0.90625,0.96875,0.65625] area_under_roc_curve 0.8992812742812742 [0.84375,0.902778,0.875,0.90625,0.90625,0.996503,0.9375,0.9375,0.96875,0.71875] area_under_roc_curve 0.8776223776223777 [0.84375,0.881119,0.9375,0.875,0.866667,0.965253,0.875,0.90625,0.84375,0.78125] 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 0.802749102903441 [0.769231,0.483871,0.769231,0.9375,0.896552,0.914286,0.814815,1,0.896552,0.545455] f_measure 0.8284012404910625 [0.896552,0.5,0.857143,0.769231,0.933333,0.903226,0.857143,0.866667,0.896552,0.8] f_measure 0.8278621497001568 [0.814815,0.491228,0.814815,0.903226,0.758621,0.909091,0.933333,0.896552,0.896552,0.857143] f_measure 0.8383688804083768 [0.857143,0.571429,0.896552,0.827586,0.933333,0.882353,0.866667,0.896552,0.896552,0.75] f_measure 0.7943241374261306 [0.896552,0.483871,0.866667,0.896552,0.896552,0.882353,0.785714,0.72,0.896552,0.608696] f_measure 0.8052612937478537 [0.814815,0.491803,0.827586,0.896552,0.903226,0.914286,0.785714,0.814815,0.965517,0.636364] f_measure 0.8230349810170189 [0.827586,0.542373,0.896552,0.846154,0.896552,0.914286,0.928571,0.967742,0.896552,0.521739] f_measure 0.8357515138613634 [0.896552,0.5,0.967742,0.933333,0.827586,0.9375,0.933333,0.896552,0.967742,0.47619] f_measure 0.841537221369399 [0.814815,0.517241,0.857143,0.896552,0.896552,0.969697,0.933333,0.933333,0.967742,0.608696] f_measure 0.8160420746671018 [0.814815,0.484848,0.933333,0.857143,0.846154,0.9375,0.857143,0.896552,0.814815,0.72] kappa 0.7569444444444444 kappa 0.7708034900377653 kappa 0.7777488388244997 kappa 0.7972830387760486 kappa 0.7413611184384068 kappa 0.7553415985228172 kappa 0.7833311354345247 kappa 0.7975678286065503 kappa 0.7975856014047411 kappa 0.7553631088447337 kb_relative_information_score 0.7708655025232861 kb_relative_information_score 0.7842454665074334 kb_relative_information_score 0.7909533087943228 kb_relative_information_score 0.8090855411630714 kb_relative_information_score 0.7564259957575342 kb_relative_information_score 0.7696208661951865 kb_relative_information_score 0.7956222442110595 kb_relative_information_score 0.8086824961012448 kb_relative_information_score 0.8089560763729792 kb_relative_information_score 0.7695030214720506 mean_absolute_error 0.043750000000000025 mean_absolute_error 0.04125000000000002 mean_absolute_error 0.04000000000000002 mean_absolute_error 0.03647798742138366 mean_absolute_error 0.04654088050314468 mean_absolute_error 0.04402515723270443 mean_absolute_error 0.03899371069182392 mean_absolute_error 0.03647798742138366 mean_absolute_error 0.03647798742138366 mean_absolute_error 0.04402515723270443 mean_prior_absolute_error 0.17999999999999963 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999662582343604 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999819520788427 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.1799997645923324 number_of_instances 160 [16,16,16,16,16,16,16,16,16,16] number_of_instances 160 [16,16,16,16,16,16,16,17,16,15] number_of_instances 160 [16,16,16,16,16,17,16,16,16,15] number_of_instances 159 [16,16,16,16,16,16,16,16,16,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [17,16,16,15,16,16,15,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,16,16,16,15,16,16,16,16,16] precision 0.9105692219679634 [1,0.326087,1,0.9375,1,0.842105,1,1,1,1] precision 0.9266666666666665 [1,0.333333,1,1,1,0.933333,1,1,1,1] precision 0.898242895950594 [1,0.341463,1,0.933333,0.846154,0.9375,1,1,1,0.923077] precision 0.9079226852811758 [1,0.4,1,0.923077,1,0.833333,0.928571,1,1,1] precision 0.8884966209617563 [1,0.326087,1,1,1,0.833333,0.916667,1,0.928571,0.875] precision 0.9019309279488028 [1,0.333333,1,1,0.933333,0.842105,0.916667,1,1,1] precision 0.9065500521817929 [1,0.372093,1,1,1,0.842105,1,1,1,0.857143] precision 0.9238439118788866 [1,0.341463,1,1,0.923077,0.9375,1,1,1,1] precision 0.9326501991757651 [1,0.348837,1,1,1,0.941176,1,1,1,1] precision 0.9252830188679245 [1,0.32,1,1,1,0.9375,1,1,1,1] predictive_accuracy 0.78125 predictive_accuracy 0.79375 predictive_accuracy 0.8 predictive_accuracy 0.8176100628930817 predictive_accuracy 0.7672955974842768 predictive_accuracy 0.779874213836478 predictive_accuracy 0.8050314465408804 predictive_accuracy 0.8176100628930817 predictive_accuracy 0.8176100628930817 predictive_accuracy 0.779874213836478 prior_entropy 3.322035652456755 prior_entropy 3.321695353806615 prior_entropy 3.321695353806615 prior_entropy 3.3217896094452106 prior_entropy 3.3215641679424013 prior_entropy 3.3215641679424013 prior_entropy 3.321906615533436 prior_entropy 3.321962444265476 prior_entropy 3.321962444265476 prior_entropy 3.3220193319359352 recall 0.78125 [0.625,0.9375,0.625,0.9375,0.8125,1,0.6875,1,0.8125,0.375] recall 0.79375 [0.8125,1,0.75,0.625,0.875,0.875,0.75,0.764706,0.8125,0.666667] recall 0.8 [0.6875,0.875,0.6875,0.875,0.6875,0.882353,0.875,0.8125,0.8125,0.8] recall 0.8176100628930818 [0.75,1,0.8125,0.75,0.875,0.9375,0.8125,0.8125,0.8125,0.6] recall 0.7672955974842768 [0.8125,0.9375,0.764706,0.8125,0.8125,0.9375,0.6875,0.5625,0.866667,0.466667] recall 0.779874213836478 [0.6875,0.9375,0.705882,0.8125,0.875,1,0.6875,0.6875,0.933333,0.466667] recall 0.8050314465408805 [0.705882,1,0.8125,0.733333,0.8125,1,0.866667,0.9375,0.8125,0.375] recall 0.8176100628930818 [0.8125,0.933333,0.9375,0.875,0.75,0.9375,0.875,0.8125,0.9375,0.3125] recall 0.8176100628930818 [0.6875,1,0.75,0.8125,0.8125,1,0.875,0.875,0.9375,0.4375] recall 0.779874213836478 [0.6875,1,0.875,0.75,0.733333,0.9375,0.75,0.8125,0.6875,0.5625] relative_absolute_error 0.24305555555555622 relative_absolute_error 0.22917262353461113 relative_absolute_error 0.22222799857901682 relative_absolute_error 0.20265928460884589 relative_absolute_error 0.2585698030787212 relative_absolute_error 0.2445930569663579 relative_absolute_error 0.21663389817208523 relative_absolute_error 0.20265663417441238 relative_absolute_error 0.20265663417441238 relative_absolute_error 0.24458452672098552 root_mean_prior_squared_error 0.3000024711829099 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999968475489186 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.29999946320574855 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000207883977315 root_mean_squared_error 0.20916500663351895 root_mean_squared_error 0.20310096011589907 root_mean_squared_error 0.20000000000000007 root_mean_squared_error 0.1909921135057248 root_mean_squared_error 0.21573335510102437 root_mean_squared_error 0.2098217272655633 root_mean_squared_error 0.19746825236433305 root_mean_squared_error 0.1909921135057248 root_mean_squared_error 0.1909921135057248 root_mean_squared_error 0.2098217272655633 root_relative_squared_error 0.6972109456591514 root_relative_squared_error 0.6770152213178043 root_relative_squared_error 0.6666785040616919 root_relative_squared_error 0.6366470683482128 root_relative_squared_error 0.7191312805923364 root_relative_squared_error 0.6994253037687264 root_relative_squared_error 0.6582286856590255 root_relative_squared_error 0.6366387421364978 root_relative_squared_error 0.6366387421364978 root_relative_squared_error 0.6994009110771067 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 1907.5223109975923 usercpu_time_millis 1967.949984013103 usercpu_time_millis 1895.2733159967465 usercpu_time_millis 1910.837684001308 usercpu_time_millis 1896.7108139913762 usercpu_time_millis 1939.7506429959321 usercpu_time_millis 1908.8083319948055 usercpu_time_millis 1930.6611899955897 usercpu_time_millis 1919.615603008424 usercpu_time_millis 1913.3672729949467 usercpu_time_millis_testing 105.55734900117386 usercpu_time_millis_testing 105.93577200779691 usercpu_time_millis_testing 105.26841499086004 usercpu_time_millis_testing 104.74085999885574 usercpu_time_millis_testing 104.36990100424737 usercpu_time_millis_testing 105.23902998829726 usercpu_time_millis_testing 105.20828199514654 usercpu_time_millis_testing 105.50446799607016 usercpu_time_millis_testing 104.79039100755472 usercpu_time_millis_testing 104.96886899636593 usercpu_time_millis_training 1801.9649619964184 usercpu_time_millis_training 1862.014212005306 usercpu_time_millis_training 1790.0049010058865 usercpu_time_millis_training 1806.0968240024522 usercpu_time_millis_training 1792.3409129871288 usercpu_time_millis_training 1834.5116130076349 usercpu_time_millis_training 1803.600049999659 usercpu_time_millis_training 1825.1567219995195 usercpu_time_millis_training 1814.8252120008692 usercpu_time_millis_training 1808.3984039985808 wall_clock_time_millis 1907.7191352844238 wall_clock_time_millis 1968.1034088134766 wall_clock_time_millis 1895.4310417175293 wall_clock_time_millis 1910.9854698181152 wall_clock_time_millis 1896.869421005249 wall_clock_time_millis 1939.9046897888184 wall_clock_time_millis 1908.9713096618652 wall_clock_time_millis 1930.8106899261475 wall_clock_time_millis 1919.78120803833 wall_clock_time_millis 1913.5186672210693 wall_clock_time_millis_testing 105.5757999420166 wall_clock_time_millis_testing 105.9567928314209 wall_clock_time_millis_testing 105.28779029846191 wall_clock_time_millis_testing 104.75993156433105 wall_clock_time_millis_testing 104.38847541809082 wall_clock_time_millis_testing 105.26013374328613 wall_clock_time_millis_testing 105.22818565368652 wall_clock_time_millis_testing 105.52263259887695 wall_clock_time_millis_testing 104.81047630310059 wall_clock_time_millis_testing 104.98833656311035 wall_clock_time_millis_training 1802.1433353424072 wall_clock_time_millis_training 1862.1466159820557 wall_clock_time_millis_training 1790.1432514190674 wall_clock_time_millis_training 1806.2255382537842 wall_clock_time_millis_training 1792.4809455871582 wall_clock_time_millis_training 1834.6445560455322 wall_clock_time_millis_training 1803.7431240081787 wall_clock_time_millis_training 1825.2880573272705 wall_clock_time_millis_training 1814.9707317352295 wall_clock_time_millis_training 1808.530330657959