10327516 8323 Heinrich Peters 14970 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183181 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 0.16325663015546255 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7270029854979925 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.00779721868752527 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 26514 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. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 21576718 description https://api.openml.org/data/download/21576718/description.xml -1 21576719 predictions https://api.openml.org/data/download/21576719/predictions.arff area_under_roc_curve 0.9346963758316299 [0.914109,0.912795,0.937106,0.926215,0.946586,0.964679] average_cost 0 f_measure 0.8945290173179099 [0.904084,0.892832,0.755901,0.89587,0.920011,0.961467] kappa 0.8664116562507753 kb_relative_information_score 0.8771414609461462 mean_absolute_error 0.037123345308605595 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9156203942901231 [0.993737,0.964662,0.620046,0.927152,0.932149,0.994502] predictive_accuracy 0.8886299640741819 prior_entropy 2.575922879508845 recall 0.8886299640741819 [0.829268,0.830959,0.967994,0.866629,0.908185,0.930556] relative_absolute_error 0.13397354919440047 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.19267419471378516 root_relative_squared_error 0.5176364390570949 total_cost 0 area_under_roc_curve 0.9398470253043048 [0.930233,0.902452,0.929494,0.938539,0.958583,0.968474] area_under_roc_curve 0.924321646066228 [0.912791,0.919152,0.927648,0.904705,0.931447,0.947257] area_under_roc_curve 0.9249874940761436 [0.898256,0.892774,0.919944,0.937826,0.941089,0.950433] area_under_roc_curve 0.939290382716245 [0.927326,0.933198,0.951679,0.903657,0.946241,0.971649] area_under_roc_curve 0.9312013587393131 [0.909821,0.914836,0.928105,0.917702,0.953979,0.955587] area_under_roc_curve 0.9358759216657778 [0.88381,0.910625,0.941727,0.936316,0.951942,0.981959] area_under_roc_curve 0.9408007693996125 [0.937788,0.921507,0.949038,0.933969,0.946679,0.953247] area_under_roc_curve 0.9350089507137361 [0.924419,0.906237,0.937838,0.932952,0.930617,0.971196] area_under_roc_curve 0.933302451274246 [0.899415,0.919795,0.938572,0.91339,0.959051,0.962905] area_under_roc_curve 0.9423456209898303 [0.917438,0.907377,0.946907,0.943175,0.946316,0.984016] 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 0.9030050817331138 [0.925,0.875,0.751412,0.915942,0.941489,0.965517] f_measure 0.8787818352001892 [0.904459,0.89726,0.725806,0.867257,0.900804,0.940541] f_measure 0.8797388044512517 [0.886731,0.863158,0.716981,0.903409,0.91689,0.945946] f_measure 0.9007613801505764 [0.92163,0.918367,0.797688,0.871642,0.899743,0.970822] f_measure 0.8894027090863905 [0.898734,0.889655,0.737705,0.888235,0.930851,0.951613] f_measure 0.8965638088034275 [0.86645,0.894366,0.749326,0.915452,0.930481,0.981627] f_measure 0.9045131412223095 [0.929231,0.912281,0.776536,0.904899,0.924731,0.949062] f_measure 0.8946150335940912 [0.918239,0.884211,0.764045,0.892045,0.905149,0.968421] f_measure 0.8918870962260393 [0.881789,0.902778,0.756906,0.888889,0.927461,0.957672] f_measure 0.9056113782762906 [0.90566,0.890459,0.788406,0.909091,0.922667,0.981818] kappa 0.8765359502253744 kappa 0.8452434881726892 kappa 0.8463673262762043 kappa 0.8764803576842839 kappa 0.8591407620390966 kappa 0.8684353310876495 kappa 0.8788839504274453 kappa 0.8672096497487705 kappa 0.8637241054880137 kappa 0.882165865073912 kb_relative_information_score 0.885831026028336 kb_relative_information_score 0.8582602087078399 kb_relative_information_score 0.8584212979619514 kb_relative_information_score 0.8867997892606035 kb_relative_information_score 0.8704436384258465 kb_relative_information_score 0.8787303715871688 kb_relative_information_score 0.8891698582252245 kb_relative_information_score 0.8778661585558761 kb_relative_information_score 0.8746896219880385 kb_relative_information_score 0.8912163146591944 mean_absolute_error 0.034304207119741074 mean_absolute_error 0.04304207119741104 mean_absolute_error 0.04271844660194178 mean_absolute_error 0.034304207119741074 mean_absolute_error 0.03915857605177994 mean_absolute_error 0.03656957928802588 mean_absolute_error 0.03365695792880256 mean_absolute_error 0.03689320388349514 mean_absolute_error 0.037864077669902914 mean_absolute_error 0.03271784904437962 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.92227093974487 [1,0.947368,0.621495,0.946108,0.956757,0.994536] precision 0.9051476524825998 [1,0.956204,0.581897,0.913043,0.923077,0.988636] precision 0.9070571363130787 [1,0.946154,0.575758,0.913793,0.93956,0.994318] precision 0.916573525312734 [1,0.971223,0.673171,0.929936,0.879397,1] precision 0.9126707501637414 [0.993007,0.948529,0.6,0.932099,0.94086,0.994382] precision 0.9227298665645345 [0.992537,0.976923,0.604348,0.951515,0.945652,1] precision 0.9239999169962124 [0.986928,0.992366,0.640553,0.928994,0.945055,0.994382] precision 0.9138346562647705 [1,0.961832,0.632558,0.897143,0.938202,0.994595] precision 0.9138551310056744 [0.978723,0.970149,0.61991,0.948718,0.917949,0.989071] precision 0.9215979265561877 [0.986301,0.976744,0.663415,0.914286,0.940217,0.994737] predictive_accuracy 0.8970873786407768 predictive_accuracy 0.870873786407767 predictive_accuracy 0.8718446601941747 predictive_accuracy 0.8970873786407768 predictive_accuracy 0.8825242718446602 predictive_accuracy 0.8902912621359224 predictive_accuracy 0.8990291262135922 predictive_accuracy 0.8893203883495145 predictive_accuracy 0.8864077669902913 predictive_accuracy 0.901846452866861 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 recall 0.8970873786407767 [0.860465,0.812903,0.95,0.88764,0.926702,0.938144] recall 0.870873786407767 [0.825581,0.845161,0.964286,0.825843,0.879581,0.896907] recall 0.8718446601941747 [0.796512,0.793548,0.95,0.893258,0.895288,0.902062] recall 0.8970873786407767 [0.854651,0.870968,0.978723,0.820225,0.921053,0.943299] recall 0.8825242718446602 [0.820809,0.837662,0.957447,0.848315,0.921053,0.912371] recall 0.8902912621359224 [0.768786,0.824675,0.985816,0.882022,0.915789,0.963918] recall 0.8990291262135922 [0.877907,0.844156,0.985816,0.882022,0.905263,0.907692] recall 0.8893203883495145 [0.848837,0.818182,0.964539,0.887006,0.874346,0.94359] recall 0.8864077669902912 [0.802326,0.844156,0.971631,0.836158,0.937173,0.928205] recall 0.901846452866861 [0.837209,0.818182,0.971429,0.903955,0.905759,0.969231] relative_absolute_error 0.1238007871895384 relative_absolute_error 0.1553349499642324 relative_absolute_error 0.15416701800961408 relative_absolute_error 0.12379377201718895 relative_absolute_error 0.1413146093265693 relative_absolute_error 0.13197149466034977 relative_absolute_error 0.12146354665577526 relative_absolute_error 0.13314468044064096 relative_absolute_error 0.13664848782065783 relative_absolute_error 0.11808059597286823 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.1852139495819391 root_mean_squared_error 0.2074658313973919 root_mean_squared_error 0.2066844130599639 root_mean_squared_error 0.1852139495819391 root_mean_squared_error 0.1978852598143175 root_mean_squared_error 0.19123174236518864 root_mean_squared_error 0.18345832749919683 root_mean_squared_error 0.1920760367237286 root_mean_squared_error 0.1945869411597369 root_mean_squared_error 0.18088075918786833 root_relative_squared_error 0.49759847875243396 root_relative_squared_error 0.5573807066339779 root_relative_squared_error 0.5552813368140961 root_relative_squared_error 0.49757028282626625 root_relative_squared_error 0.5316220032518725 root_relative_squared_error 0.5137472192568634 root_relative_squared_error 0.49287621293253864 root_relative_squared_error 0.5160359575328382 root_relative_squared_error 0.5227818119195188 root_relative_squared_error 0.4859767536286034 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 70672.3768800075 usercpu_time_millis 70004.15639599669 usercpu_time_millis 71333.9866210008 usercpu_time_millis 70028.63548200548 usercpu_time_millis 69804.13681500067 usercpu_time_millis 69724.82219400263 usercpu_time_millis 71204.8568619939 usercpu_time_millis 70171.19588700734 usercpu_time_millis 71694.23549199564 usercpu_time_millis 71170.3824590004 usercpu_time_millis_testing 7187.216060003266 usercpu_time_millis_testing 7022.614696994424 usercpu_time_millis_testing 7281.562522002787 usercpu_time_millis_testing 6922.549776005326 usercpu_time_millis_testing 7097.183489000599 usercpu_time_millis_testing 6984.318610004266 usercpu_time_millis_testing 7210.0916799972765 usercpu_time_millis_testing 6979.414834000636 usercpu_time_millis_testing 7352.033040995593 usercpu_time_millis_testing 7095.218169000873 usercpu_time_millis_training 63485.16082000424 usercpu_time_millis_training 62981.541699002264 usercpu_time_millis_training 64052.42409899802 usercpu_time_millis_training 63106.08570600016 usercpu_time_millis_training 62706.953326000075 usercpu_time_millis_training 62740.50358399836 usercpu_time_millis_training 63994.76518199663 usercpu_time_millis_training 63191.78105300671 usercpu_time_millis_training 64342.20245100005 usercpu_time_millis_training 64075.16428999952 wall_clock_time_millis 74399.4677066803 wall_clock_time_millis 76621.72293663025 wall_clock_time_millis 74072.11756706238 wall_clock_time_millis 73357.88702964783 wall_clock_time_millis 74438.71831893921 wall_clock_time_millis 70426.98836326599 wall_clock_time_millis 73991.91665649414 wall_clock_time_millis 75768.95308494568 wall_clock_time_millis 74219.09594535828 wall_clock_time_millis 76748.14820289612 wall_clock_time_millis_testing 7535.475492477417 wall_clock_time_millis_testing 7692.974090576172 wall_clock_time_millis_testing 7282.305002212524 wall_clock_time_millis_testing 6932.89852142334 wall_clock_time_millis_testing 7578.299522399902 wall_clock_time_millis_testing 6985.104322433472 wall_clock_time_millis_testing 8056.456804275513 wall_clock_time_millis_testing 7431.851387023926 wall_clock_time_millis_testing 7352.783203125 wall_clock_time_millis_testing 7527.777671813965 wall_clock_time_millis_training 66863.99221420288 wall_clock_time_millis_training 68928.74884605408 wall_clock_time_millis_training 66789.81256484985 wall_clock_time_millis_training 66424.98850822449 wall_clock_time_millis_training 66860.4187965393 wall_clock_time_millis_training 63441.88404083252 wall_clock_time_millis_training 65935.45985221863 wall_clock_time_millis_training 68337.10169792175 wall_clock_time_millis_training 66866.31274223328 wall_clock_time_millis_training 69220.37053108215