Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 273 Supervised Classification spambase 367 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9248, kappa: 0.8414, kb_relative_information_score: 1195.4777, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9247, predictive_accuracy: 0.9249, prior_entropy: 0.9674, recall: 0.9249, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5308, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9158, kappa: 0.8229, kb_relative_information_score: 961.7266, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9159, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5517, scimark_benchmark: 972.587, usercpu_time_millis: 2610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9144, kappa: 0.8201, kb_relative_information_score: 1134.5818, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9145, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5065, scimark_benchmark: 851.2074, usercpu_time_millis: 5090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8233, kappa: 0.6316, kb_relative_information_score: 936.033, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8265, predictive_accuracy: 0.8221, prior_entropy: 0.9674, recall: 0.8221, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8651, scimark_benchmark: 941.6675, usercpu_time_millis: 14530, usercpu_time_millis_testing: 6660, usercpu_time_millis_training: 7870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 938.191, usercpu_time_millis: 410, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9333, kappa: 0.8593, kb_relative_information_score: 1176.3499, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4632, scimark_benchmark: 941.6675, usercpu_time_millis: 2090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9519, kappa: 0.8986, kb_relative_information_score: 1211.0666, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.9674, recall: 0.9519, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4092, scimark_benchmark: 931.771, usercpu_time_millis: 2940, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8233, kappa: 0.6316, kb_relative_information_score: 936.033, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8265, predictive_accuracy: 0.8221, prior_entropy: 0.9674, recall: 0.8221, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8651, scimark_benchmark: 937.5117, usercpu_time_millis: 14370, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 7690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 974.2014, usercpu_time_millis: 510, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 941.3847, usercpu_time_millis: 350, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 974.2014, usercpu_time_millis: 300, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9269, kappa: 0.8464, kb_relative_information_score: 1217.7283, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.927, predictive_accuracy: 0.9269, prior_entropy: 0.9674, recall: 0.9269, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5029, scimark_benchmark: 943.1009, usercpu_time_millis: 39200, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 39130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9519, kappa: 0.8986, kb_relative_information_score: 1211.0666, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.9674, recall: 0.9519, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4092, scimark_benchmark: 943.1009, usercpu_time_millis: 3400, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9248, kappa: 0.8414, kb_relative_information_score: 1195.4777, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9247, predictive_accuracy: 0.9249, prior_entropy: 0.9674, recall: 0.9249, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5308, scimark_benchmark: 819.5729, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9158, kappa: 0.8229, kb_relative_information_score: 961.7266, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9159, predictive_accuracy: 0.9157, prior_entropy: 0.9674, recall: 0.9157, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5517, scimark_benchmark: 935.2002, usercpu_time_millis: 2840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9144, kappa: 0.8201, kb_relative_information_score: 1134.5818, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9145, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5065, scimark_benchmark: 936.2574, usercpu_time_millis: 4550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8233, kappa: 0.6316, kb_relative_information_score: 936.033, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8265, predictive_accuracy: 0.8221, prior_entropy: 0.9674, recall: 0.8221, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8651, scimark_benchmark: 927.2882, usercpu_time_millis: 16670, usercpu_time_millis_testing: 8030, usercpu_time_millis_training: 8640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 938.1282, usercpu_time_millis: 480, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 933.3455, usercpu_time_millis: 420, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9333, kappa: 0.8593, kb_relative_information_score: 1176.3499, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4632, scimark_benchmark: 941.4991, usercpu_time_millis: 2190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9426, kappa: 0.879, kb_relative_information_score: 1237.3519, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9674, recall: 0.9427, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4277, scimark_benchmark: 730.6551, usercpu_time_millis: 163440, usercpu_time_millis_testing: 8880, usercpu_time_millis_training: 154560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 932.438, usercpu_time_millis: 350, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9519, kappa: 0.8986, kb_relative_information_score: 1211.0666, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.9674, recall: 0.9519, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4092, scimark_benchmark: 901.4991, usercpu_time_millis: 3080, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9611, kappa: 0.9179, kb_relative_information_score: 1245.9565, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9674, recall: 0.9611, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3933, scimark_benchmark: 938.4601, usercpu_time_millis: 216040, usercpu_time_millis_testing: 68630, usercpu_time_millis_training: 147410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9591, kappa: 0.9137, kb_relative_information_score: 1247.9486, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.9674, recall: 0.9592, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3928, scimark_benchmark: 926.5462, usercpu_time_millis: 94260, usercpu_time_millis_testing: 24900, usercpu_time_millis_training: 69360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9591, kappa: 0.9137, kb_relative_information_score: 1251.1263, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.9674, recall: 0.9592, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3906, scimark_benchmark: 917.2109, usercpu_time_millis: 52410, usercpu_time_millis_testing: 13310, usercpu_time_millis_training: 39100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9518, kappa: 0.8985, kb_relative_information_score: 1240.6269, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.9674, recall: 0.9519, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4057, scimark_benchmark: 911.2316, usercpu_time_millis: 28480, usercpu_time_millis_testing: 7030, usercpu_time_millis_training: 21450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9557, kappa: 0.9066, kb_relative_information_score: 1241.3922, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9674, recall: 0.9559, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.411, scimark_benchmark: 889.4922, usercpu_time_millis: 10800, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 9400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9229, kappa: 0.8367, kb_relative_information_score: 1154.7202, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.9674, recall: 0.9236, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5108, scimark_benchmark: 929.0296, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9229, kappa: 0.8367, kb_relative_information_score: 1154.7202, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.9674, recall: 0.9236, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5108, scimark_benchmark: 926.5859, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9229, kappa: 0.8367, kb_relative_information_score: 1154.7202, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.9674, recall: 0.9236, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5108, scimark_benchmark: 936.1714, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9229, kappa: 0.8367, kb_relative_information_score: 1154.7202, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9244, predictive_accuracy: 0.9236, prior_entropy: 0.9674, recall: 0.9236, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5108, scimark_benchmark: 929.0296, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.875, kappa: 0.7341, kb_relative_information_score: 945.8937, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8806, predictive_accuracy: 0.8775, prior_entropy: 0.9674, recall: 0.8775, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6388, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9426, kappa: 0.879, kb_relative_information_score: 1237.3519, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9674, recall: 0.9427, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4277, scimark_benchmark: 1336.0954, usercpu_time_millis: 174030, usercpu_time_millis_testing: 8140, usercpu_time_millis_training: 165890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8952, kappa: 0.7782, kb_relative_information_score: 1173.6395, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8958, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6146, scimark_benchmark: 1346.2927, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1346.2927, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1340.5125, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1303.5632, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1338.5214, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9248, kappa: 0.8414, kb_relative_information_score: 1195.4777, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9247, predictive_accuracy: 0.9249, prior_entropy: 0.9674, recall: 0.9249, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5308, scimark_benchmark: 1332.9478, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8952, kappa: 0.7782, kb_relative_information_score: 1173.6395, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8958, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6146, scimark_benchmark: 1346.2927, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1340.9749, usercpu_time_millis: 230, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1338.5214, usercpu_time_millis: 220, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 930.5999, usercpu_time_millis: 380, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9333, kappa: 0.8593, kb_relative_information_score: 1176.3499, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4632, scimark_benchmark: 1325.8468, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9269, kappa: 0.8464, kb_relative_information_score: 1217.7283, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.927, predictive_accuracy: 0.9269, prior_entropy: 0.9674, recall: 0.9269, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5029, scimark_benchmark: 1317.5857, usercpu_time_millis: 48560, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 48420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9519, kappa: 0.8986, kb_relative_information_score: 1211.0666, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.9674, recall: 0.9519, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4092, scimark_benchmark: 1318.6467, usercpu_time_millis: 3660, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8952, kappa: 0.7782, kb_relative_information_score: 1173.6395, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8958, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6146, scimark_benchmark: 1317.5857, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1306.9281, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9333, kappa: 0.8593, kb_relative_information_score: 1176.3499, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4632, scimark_benchmark: 1350.2591, usercpu_time_millis: 1990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9426, kappa: 0.879, kb_relative_information_score: 1237.3519, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9674, recall: 0.9427, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4277, scimark_benchmark: 1350.2591, usercpu_time_millis: 130010, usercpu_time_millis_testing: 8160, usercpu_time_millis_training: 121850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8952, kappa: 0.7782, kb_relative_information_score: 1173.6395, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8958, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6146, scimark_benchmark: 1318.4315, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1322.3407, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1319.4538, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9333, kappa: 0.8593, kb_relative_information_score: 1176.3499, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4632, scimark_benchmark: 1337.9552, usercpu_time_millis: 1490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9426, kappa: 0.879, kb_relative_information_score: 1237.3519, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9674, recall: 0.9427, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4277, scimark_benchmark: 1371.4836, usercpu_time_millis: 129400, usercpu_time_millis_testing: 8200, usercpu_time_millis_training: 121200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1354.5533, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9248, kappa: 0.8414, kb_relative_information_score: 1195.4777, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9247, predictive_accuracy: 0.9249, prior_entropy: 0.9674, recall: 0.9249, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5308, scimark_benchmark: 1306.9281, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8233, kappa: 0.6316, kb_relative_information_score: 936.033, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8265, predictive_accuracy: 0.8221, prior_entropy: 0.9674, recall: 0.8221, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8651, scimark_benchmark: 1307.9497, usercpu_time_millis: 18150, usercpu_time_millis_testing: 8250, usercpu_time_millis_training: 9900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8233, kappa: 0.6316, kb_relative_information_score: 936.033, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8265, predictive_accuracy: 0.8221, prior_entropy: 0.9674, recall: 0.8221, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8651, scimark_benchmark: 1333.0982, usercpu_time_millis: 14880, usercpu_time_millis_testing: 6860, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8952, kappa: 0.7782, kb_relative_information_score: 1173.6395, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.8958, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6146, scimark_benchmark: 1313.11, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1331.1314, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9318, kappa: 0.8559, kb_relative_information_score: 1276.28, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4764, number_of_instances: 1518, precision: 0.9322, predictive_accuracy: 0.9321, prior_entropy: 0.9674, recall: 0.9321, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4875, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4767, scimark_benchmark: 1313.11, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs