10396603 8323 Heinrich Peters 3904 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8232183 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.19056746772632044 13389 cache_size 200 13389 class_weight null 13389 coef0 0.3565163593285343 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.015503770572916192 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 1 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. 1053 jm1 https://www.openml.org/data/download/53936/jm1.arff -1 21714938 description https://api.openml.org/data/download/21714938/description.xml -1 21714939 predictions https://api.openml.org/data/download/21714939/predictions.arff area_under_roc_curve 0.5622810877680453 [0.562281,0.562281] average_cost 0 f_measure 0.7387501084294961 [0.847752,0.284368] kappa 0.13407072385727953 kb_relative_information_score 0.05063172532880531 mean_absolute_error 0.2510794671566376 mean_prior_absolute_error 0.31212214303703906 number_of_instances 10885 [8779,2106] precision 0.7304131639738858 [0.82959,0.316988] predictive_accuracy 0.7489205328433625 prior_entropy 0.7086892261862012 recall 0.7489205328433625 [0.866727,0.257835] relative_absolute_error 0.8044269615528122 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.5010783044162236 root_relative_squared_error 1.2684761914566716 total_cost 0 area_under_roc_curve 0.5381144134126461 [0.538114,0.538114] area_under_roc_curve 0.5761208692742014 [0.576121,0.576121] area_under_roc_curve 0.5831381100951105 [0.583138,0.583138] area_under_roc_curve 0.5477766142352827 [0.547777,0.547777] area_under_roc_curve 0.5493932785628691 [0.549393,0.549393] area_under_roc_curve 0.5677405358498753 [0.567741,0.567741] area_under_roc_curve 0.5647901073869184 [0.56479,0.56479] area_under_roc_curve 0.530160538019308 [0.530161,0.530161] area_under_roc_curve 0.5831109664822649 [0.583111,0.583111] area_under_roc_curve 0.5824952579614908 [0.582495,0.582495] 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 0.7271863597699307 [0.845475,0.234973] f_measure 0.7461296917457213 [0.850921,0.310078] f_measure 0.7512868817538492 [0.854434,0.322078] f_measure 0.7297607429710619 [0.843159,0.257895] f_measure 0.7330323332505697 [0.847176,0.258065] f_measure 0.7441978688638576 [0.852222,0.292553] f_measure 0.742274544569601 [0.851111,0.287234] f_measure 0.7172812592373632 [0.834171,0.228571] f_measure 0.7448156965883957 [0.845198,0.325123] f_measure 0.7503832907088213 [0.853631,0.321244] kappa 0.08477506573339275 kappa 0.1624790089033934 kappa 0.17814172572628154 kappa 0.10336873945261646 kappa 0.1085578023881411 kappa 0.14721482284717466 kappa 0.14080290422196545 kappa 0.06440442411257183 kappa 0.1705471219338467 kappa 0.17641960256328768 kb_relative_information_score 0.028590319196429154 kb_relative_information_score 0.073691482948023 kb_relative_information_score 0.09450740467952785 kb_relative_information_score 0.021651678619261608 kb_relative_information_score 0.042467600350766604 kb_relative_information_score 0.07432122709771771 kb_relative_information_score 0.06736123632401597 kb_relative_information_score -0.033558629894652886 kb_relative_information_score 0.04648126400291242 kb_relative_information_score 0.0906727537593637 mean_absolute_error 0.2571166207529844 mean_absolute_error 0.24517906336088155 mean_absolute_error 0.2396694214876033 mean_absolute_error 0.25895316804407714 mean_absolute_error 0.2534435261707989 mean_absolute_error 0.24448529411764705 mean_absolute_error 0.24632352941176472 mean_absolute_error 0.27297794117647056 mean_absolute_error 0.25183823529411764 mean_absolute_error 0.24080882352941177 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3124019844228689 number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [877,211] precision 0.7149754720019779 [0.820128,0.277419] precision 0.7389535602967844 [0.834611,0.340909] precision 0.7439936130927445 [0.837158,0.356322] precision 0.7204528622284779 [0.823913,0.289941] precision 0.7223959227588096 [0.824353,0.298137] precision 0.7352713937285444 [0.831887,0.331325] precision 0.7332333993367883 [0.830803,0.325301] precision 0.7087901069518716 [0.818182,0.251429] precision 0.7417043891547649 [0.838565,0.336735] precision 0.7432255722661463 [0.836802,0.354286] predictive_accuracy 0.7428833792470156 predictive_accuracy 0.7548209366391184 predictive_accuracy 0.7603305785123967 predictive_accuracy 0.7410468319559229 predictive_accuracy 0.7465564738292011 predictive_accuracy 0.7555147058823529 predictive_accuracy 0.7536764705882354 predictive_accuracy 0.7270220588235294 predictive_accuracy 0.7481617647058824 predictive_accuracy 0.7591911764705883 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7096292997655923 recall 0.7428833792470156 [0.872437,0.203791] recall 0.7548209366391184 [0.867882,0.28436] recall 0.7603305785123967 [0.872437,0.293839] recall 0.7410468319559229 [0.863326,0.232227] recall 0.7465564738292011 [0.871298,0.227488] recall 0.7555147058823529 [0.873576,0.261905] recall 0.7536764705882353 [0.872437,0.257143] recall 0.7270220588235294 [0.850797,0.209524] recall 0.7481617647058824 [0.851936,0.314286] recall 0.7591911764705882 [0.871152,0.293839] relative_absolute_error 0.8233189989752921 relative_absolute_error 0.7850934740228678 relative_absolute_error 0.767450924044826 relative_absolute_error 0.8291998489679727 relative_absolute_error 0.8115572989899309 relative_absolute_error 0.7840122195732984 relative_absolute_error 0.7899070482918947 relative_absolute_error 0.87538206471154 relative_absolute_error 0.8075915344476833 relative_absolute_error 0.7708300060074259 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.3953778646078222 root_mean_squared_error 0.5070666827479245 root_mean_squared_error 0.4951555951020664 root_mean_squared_error 0.4895604370122276 root_mean_squared_error 0.508874412840808 root_mean_squared_error 0.5034317492677621 root_mean_squared_error 0.49445454201336553 root_mean_squared_error 0.49630991266724134 root_mean_squared_error 0.5224729095144269 root_mean_squared_error 0.5018348685515163 root_mean_squared_error 0.4907227562783407 root_relative_squared_error 1.2829342554783707 root_relative_squared_error 1.2527978988988688 root_relative_squared_error 1.238641535993362 root_relative_squared_error 1.2875080106465293 root_relative_squared_error 1.2737374755739734 root_relative_squared_error 1.252846849892931 root_relative_squared_error 1.2575479802933658 root_relative_squared_error 1.3238396722460493 root_relative_squared_error 1.2715470903980601 root_relative_squared_error 1.2411487850112493 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 3809.554585001024 usercpu_time_millis 3839.1677669969795 usercpu_time_millis 3830.895537001197 usercpu_time_millis 3776.661633997719 usercpu_time_millis 3837.7871379998396 usercpu_time_millis 3909.903101000964 usercpu_time_millis 3767.3564670039923 usercpu_time_millis 3829.570141999284 usercpu_time_millis 3882.1521470017615 usercpu_time_millis 3774.38531900043 usercpu_time_millis_testing 310.43242899977486 usercpu_time_millis_testing 316.8286289983371 usercpu_time_millis_testing 310.5427000009513 usercpu_time_millis_testing 306.5811560009024 usercpu_time_millis_testing 325.7127100005164 usercpu_time_millis_testing 318.1794470001478 usercpu_time_millis_testing 303.9682640010142 usercpu_time_millis_testing 314.3735869998636 usercpu_time_millis_testing 315.45050400018226 usercpu_time_millis_testing 316.2705310023739 usercpu_time_millis_training 3499.122156001249 usercpu_time_millis_training 3522.3391379986424 usercpu_time_millis_training 3520.352837000246 usercpu_time_millis_training 3470.0804779968166 usercpu_time_millis_training 3512.0744279993232 usercpu_time_millis_training 3591.723654000816 usercpu_time_millis_training 3463.388203002978 usercpu_time_millis_training 3515.19655499942 usercpu_time_millis_training 3566.701643001579 usercpu_time_millis_training 3458.1147879980563 wall_clock_time_millis 3833.9335918426514 wall_clock_time_millis 3839.2157554626465 wall_clock_time_millis 3831.01224899292 wall_clock_time_millis 3796.9539165496826 wall_clock_time_millis 3837.8677368164062 wall_clock_time_millis 3909.9862575531006 wall_clock_time_millis 3787.7511978149414 wall_clock_time_millis 3829.6782970428467 wall_clock_time_millis 3882.201671600342 wall_clock_time_millis 3792.837619781494 wall_clock_time_millis_testing 311.5267753601074 wall_clock_time_millis_testing 316.8354034423828 wall_clock_time_millis_testing 310.5494976043701 wall_clock_time_millis_testing 308.24828147888184 wall_clock_time_millis_testing 325.71887969970703 wall_clock_time_millis_testing 318.18699836730957 wall_clock_time_millis_testing 306.02288246154785 wall_clock_time_millis_testing 314.3935203552246 wall_clock_time_millis_testing 315.474271774292 wall_clock_time_millis_testing 316.85662269592285 wall_clock_time_millis_training 3522.406816482544 wall_clock_time_millis_training 3522.3803520202637 wall_clock_time_millis_training 3520.46275138855 wall_clock_time_millis_training 3488.705635070801 wall_clock_time_millis_training 3512.148857116699 wall_clock_time_millis_training 3591.799259185791 wall_clock_time_millis_training 3481.7283153533936 wall_clock_time_millis_training 3515.284776687622 wall_clock_time_millis_training 3566.72739982605 wall_clock_time_millis_training 3475.9809970855713