10329949 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) 8185564 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 1113.5018431304309 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6806855719980336 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.02788384154132233 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 14013 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 21581595 description https://api.openml.org/data/download/21581595/description.xml -1 21581596 predictions https://api.openml.org/data/download/21581596/predictions.arff area_under_roc_curve 0.8422673415893565 [0.84472,0.864994,0.864198,0.863385,0.873168,0.876158,0.880154,0.89441,0.844588,0.609677] average_cost 0 f_measure 0.7392014500546897 [0.816176,0.638404,0.842857,0.831541,0.846975,0.488408,0.86121,0.881944,0.813433,0.359788] kappa 0.6846164931195082 kb_relative_information_score 0.7026560458872381 mean_absolute_error 0.05674827369742671 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.8773499201783465 [1,0.526749,1,0.966667,0.97541,0.325103,0.991803,1,0.990909,1] predictive_accuracy 0.7162586315128688 prior_entropy 3.3218194939376526 recall 0.7162586315128688 [0.689441,0.810127,0.728395,0.72956,0.748428,0.981366,0.761006,0.78882,0.689873,0.219355] relative_absolute_error 0.31527341382300883 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.2382189616664188 root_relative_squared_error 0.794069828703705 total_cost 0 area_under_roc_curve 0.826388888888889 [0.8125,0.840278,0.8125,0.84375,0.875,0.829861,0.84375,0.96875,0.84375,0.59375] area_under_roc_curve 0.829861111111111 [0.875,0.986111,0.875,0.711806,0.875,0.819444,0.875,0.882353,0.78125,0.6] area_under_roc_curve 0.8714792152292151 [0.84375,0.826389,0.84375,0.934028,0.836806,0.963595,0.9375,0.90625,0.84375,0.766667] area_under_roc_curve 0.8321678321678323 [0.84375,0.809003,0.84375,0.840253,0.90625,0.839161,0.90625,0.875,0.8125,0.633333] area_under_roc_curve 0.8286713286713286 [0.90625,0.892264,0.852941,0.90625,0.84375,0.846154,0.777753,0.78125,0.933333,0.533333] area_under_roc_curve 0.8217026029526029 [0.84375,0.840253,0.823529,0.84375,0.875,0.828671,0.8125,0.8125,0.896528,0.633333] area_under_roc_curve 0.8391608391608393 [0.794118,0.8125,0.875,0.9,0.90625,0.839161,0.933333,0.96875,0.78125,0.59375] area_under_roc_curve 0.8749028749028749 [0.90625,0.855556,0.9375,0.9375,0.871503,0.95826,0.90625,0.90625,0.875,0.59375] area_under_roc_curve 0.8679827117327117 [0.8125,0.878472,0.84375,0.90625,0.875,0.98951,0.9375,0.9375,0.875,0.625] area_under_roc_curve 0.8321678321678323 [0.8125,0.920017,0.9375,0.8125,0.866667,0.84965,0.875,0.90625,0.8125,0.53125] 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 0.7304356263326269 [0.769231,0.785714,0.769231,0.814815,0.857143,0.395062,0.814815,0.967742,0.814815,0.315789] f_measure 0.7236199056199055 [0.857143,0.888889,0.857143,0.56,0.857143,0.405405,0.857143,0.866667,0.72,0.333333] f_measure 0.8011391385720351 [0.814815,0.451613,0.814815,0.903226,0.758621,0.914286,0.933333,0.896552,0.814815,0.695652] f_measure 0.7426973567895162 [0.814815,0.740741,0.814815,0.785714,0.896552,0.410256,0.896552,0.857143,0.769231,0.421053] f_measure 0.7140821065629591 [0.896552,0.787879,0.827586,0.896552,0.814815,0.421053,0.692308,0.72,0.928571,0.125] f_measure 0.7284668919337352 [0.814815,0.785714,0.785714,0.814815,0.857143,0.395062,0.769231,0.769231,0.857143,0.421053] f_measure 0.7474333841099003 [0.740741,0.769231,0.857143,0.888889,0.896552,0.410256,0.928571,0.967742,0.72,0.315789] f_measure 0.7919015030775354 [0.896552,0.459016,0.933333,0.933333,0.827586,0.882353,0.896552,0.896552,0.857143,0.315789] f_measure 0.7857637948290735 [0.769231,0.461538,0.814815,0.896552,0.857143,0.914286,0.933333,0.933333,0.857143,0.4] f_measure 0.7177160431261238 [0.769231,0.8,0.933333,0.769231,0.846154,0.426667,0.857143,0.896552,0.769231,0.117647] kappa 0.6527777777777778 kappa 0.6595744680851063 kappa 0.7429439861050804 kappa 0.6643947055978189 kappa 0.657372795637451 kappa 0.6434507320933913 kappa 0.6785337552742615 kappa 0.7487600403809859 kappa 0.7348488173081144 kappa 0.6644979778442061 kb_relative_information_score 0.6725166255387508 kb_relative_information_score 0.6791010250598414 kb_relative_information_score 0.7579434143917154 kb_relative_information_score 0.6837043549409024 kb_relative_information_score 0.6770525154534853 kb_relative_information_score 0.6641020939716331 kb_relative_information_score 0.6966652437758744 kb_relative_information_score 0.7624876675313597 kb_relative_information_score 0.7495666549007112 kb_relative_information_score 0.6834056316459843 mean_absolute_error 0.06249999999999998 mean_absolute_error 0.061249999999999985 mean_absolute_error 0.04625000000000003 mean_absolute_error 0.060377358490566024 mean_absolute_error 0.06163522012578614 mean_absolute_error 0.06415094339622639 mean_absolute_error 0.05786163522012578 mean_absolute_error 0.04528301886792455 mean_absolute_error 0.047798742138364804 mean_absolute_error 0.060377358490566024 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 0.9162820512820513 [1,0.916667,1,1,1,0.246154,1,1,1,1] precision 0.883639846743295 [1,0.8,1,0.777778,1,0.258621,1,1,1,1] precision 0.8965779450018581 [1,0.304348,1,0.933333,0.846154,0.888889,1,1,1,1] precision 0.9078059966678348 [1,0.909091,1,0.916667,1,0.258065,1,1,1,1] precision 0.8924651621654952 [1,0.764706,1,1,1,0.266667,0.9,1,1,1] precision 0.9084986292533462 [1,0.916667,1,1,1,0.246154,1,1,0.923077,1] precision 0.9253398255224183 [1,1,1,1,1,0.258065,1,1,1,1] precision 0.9098602609677262 [1,0.304348,1,1,0.923077,0.833333,1,1,1,1] precision 0.9180734856007944 [1,0.3,1,1,1,0.842105,1,1,1,1] precision 0.9001789731764652 [1,0.736842,1,1,1,0.271186,1,1,1,1] predictive_accuracy 0.6875 predictive_accuracy 0.69375 predictive_accuracy 0.76875 predictive_accuracy 0.6981132075471699 predictive_accuracy 0.6918238993710691 predictive_accuracy 0.679245283018868 predictive_accuracy 0.7106918238993711 predictive_accuracy 0.7735849056603773 predictive_accuracy 0.761006289308176 predictive_accuracy 0.6981132075471699 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 0.6875 [0.625,0.6875,0.625,0.6875,0.75,1,0.6875,0.9375,0.6875,0.1875] recall 0.69375 [0.75,1,0.75,0.4375,0.75,0.9375,0.75,0.764706,0.5625,0.2] recall 0.76875 [0.6875,0.875,0.6875,0.875,0.6875,0.941176,0.875,0.8125,0.6875,0.533333] recall 0.6981132075471698 [0.6875,0.625,0.6875,0.6875,0.8125,1,0.8125,0.75,0.625,0.266667] recall 0.6918238993710691 [0.8125,0.8125,0.705882,0.8125,0.6875,1,0.5625,0.5625,0.866667,0.066667] recall 0.6792452830188679 [0.6875,0.6875,0.647059,0.6875,0.75,1,0.625,0.625,0.8,0.266667] recall 0.710691823899371 [0.588235,0.625,0.75,0.8,0.8125,1,0.866667,0.9375,0.5625,0.1875] recall 0.7735849056603774 [0.8125,0.933333,0.875,0.875,0.75,0.9375,0.8125,0.8125,0.75,0.1875] recall 0.7610062893081762 [0.625,1,0.6875,0.8125,0.75,1,0.875,0.875,0.75,0.25] recall 0.6981132075471698 [0.625,0.875,0.875,0.625,0.733333,1,0.75,0.8125,0.625,0.0625] relative_absolute_error 0.3472222222222229 relative_absolute_error 0.3402866228241192 relative_absolute_error 0.2569511233569882 relative_absolute_error 0.33543605728360676 relative_absolute_error 0.34243027975290075 relative_absolute_error 0.35640702586526396 relative_absolute_error 0.32145675212631986 relative_absolute_error 0.2515737527682361 relative_absolute_error 0.26555007236647143 relative_absolute_error 0.33543020807449414 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 0.24999999999999994 root_mean_squared_error 0.2474873734152916 root_mean_squared_error 0.21505813167606574 root_mean_squared_error 0.24571804673358044 root_mean_squared_error 0.24826441574616798 root_mean_squared_error 0.25328036520075214 root_mean_squared_error 0.24054445580833034 root_mean_squared_error 0.21279807063957265 root_mean_squared_error 0.21862923440922719 root_mean_squared_error 0.24571804673358044 root_relative_squared_error 0.8333264689929046 root_relative_squared_error 0.8249725594133193 root_relative_squared_error 0.716873167560509 root_relative_squared_error 0.8190687626926239 root_relative_squared_error 0.8275711798828935 root_relative_squared_error 0.844291478665492 root_relative_squared_error 0.8018162873956804 root_relative_squared_error 0.7093250791058994 root_relative_squared_error 0.7287622417162471 root_relative_squared_error 0.8190544801685022 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 1937.793930992484 usercpu_time_millis 1937.4924230069155 usercpu_time_millis 1939.3434900121065 usercpu_time_millis 1927.7181290090084 usercpu_time_millis 1922.1145049959887 usercpu_time_millis 1927.099459018791 usercpu_time_millis 1929.941353999311 usercpu_time_millis 1918.6711180082057 usercpu_time_millis 1925.562018994242 usercpu_time_millis 1924.8835119942669 usercpu_time_millis_testing 106.79052499472164 usercpu_time_millis_testing 107.82398300943896 usercpu_time_millis_testing 109.62586100504268 usercpu_time_millis_testing 106.64351900049951 usercpu_time_millis_testing 106.34192900033668 usercpu_time_millis_testing 105.8688970078947 usercpu_time_millis_testing 106.07365200121421 usercpu_time_millis_testing 106.5974590019323 usercpu_time_millis_testing 106.45523499988485 usercpu_time_millis_testing 105.64908100059256 usercpu_time_millis_training 1831.0034059977625 usercpu_time_millis_training 1829.6684399974765 usercpu_time_millis_training 1829.7176290070638 usercpu_time_millis_training 1821.074610008509 usercpu_time_millis_training 1815.772575995652 usercpu_time_millis_training 1821.2305620108964 usercpu_time_millis_training 1823.867701998097 usercpu_time_millis_training 1812.0736590062734 usercpu_time_millis_training 1819.106783994357 usercpu_time_millis_training 1819.2344309936743 wall_clock_time_millis 2121.9615936279297 wall_clock_time_millis 2233.7143421173096 wall_clock_time_millis 2179.5060634613037 wall_clock_time_millis 2239.410877227783 wall_clock_time_millis 1993.7901496887207 wall_clock_time_millis 2209.573745727539 wall_clock_time_millis 2202.1100521087646 wall_clock_time_millis 2190.809726715088 wall_clock_time_millis 2446.383476257324 wall_clock_time_millis 2061.1681938171387 wall_clock_time_millis_testing 106.8117618560791 wall_clock_time_millis_testing 163.8350486755371 wall_clock_time_millis_testing 109.64369773864746 wall_clock_time_millis_testing 114.66169357299805 wall_clock_time_millis_testing 138.35716247558594 wall_clock_time_millis_testing 105.88812828063965 wall_clock_time_millis_testing 106.0934066772461 wall_clock_time_millis_testing 170.61305046081543 wall_clock_time_millis_testing 130.47313690185547 wall_clock_time_millis_testing 105.73005676269531 wall_clock_time_millis_training 2015.1498317718506 wall_clock_time_millis_training 2069.8792934417725 wall_clock_time_millis_training 2069.8623657226562 wall_clock_time_millis_training 2124.749183654785 wall_clock_time_millis_training 1855.4329872131348 wall_clock_time_millis_training 2103.6856174468994 wall_clock_time_millis_training 2096.0166454315186 wall_clock_time_millis_training 2020.1966762542725 wall_clock_time_millis_training 2315.9103393554688 wall_clock_time_millis_training 1955.4381370544434