Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 156917 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 568.7939, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 568.7939, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8193, kappa: 0.2227, kb_relative_information_score: 51.5924, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8201, predictive_accuracy: 0.8516, prior_entropy: 0.622, recall: 0.8516, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9049, scimark_benchmark: 1864.6011, usercpu_time_millis: 6.67, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 6.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8335, kappa: 0.329, kb_relative_information_score: 225.0033, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8273, predictive_accuracy: 0.8435, prior_entropy: 0.622, recall: 0.8435, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.9585, scimark_benchmark: 1864.0845, usercpu_time_millis: 18.272, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 17.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.779, kappa: 0.0208, kb_relative_information_score: -41.3411, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7934, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9142, scimark_benchmark: 1858.9715, usercpu_time_millis: 6.31, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7746, kb_relative_information_score: 1.276, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1850.0393, usercpu_time_millis: 1.273, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.7746, kb_relative_information_score: 0.9936, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1854.7429, usercpu_time_millis: 2.784, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 2.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.7746, kb_relative_information_score: 1.7351, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1838.4993, usercpu_time_millis: 2.144, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8269, kappa: 0.2549, kb_relative_information_score: 104.9828, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8328, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8902, scimark_benchmark: 1864.0845, usercpu_time_millis: 9.999, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 8.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8434, kappa: 0.344, kb_relative_information_score: 179.4516, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8417, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8827, scimark_benchmark: 1845.8794, usercpu_time_millis: 20.279, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 18.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.823, kappa: 0.2373, kb_relative_information_score: 48.704, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9034, scimark_benchmark: 1847.3472, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8268, kappa: 0.2617, kb_relative_information_score: 81.4458, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8259, predictive_accuracy: 0.854, prior_entropy: 0.622, recall: 0.854, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8978, scimark_benchmark: 1863.6305, usercpu_time_millis: 9.251, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 8.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8216, kappa: 0.2358, kb_relative_information_score: 74.0392, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8209, predictive_accuracy: 0.8516, prior_entropy: 0.622, recall: 0.8516, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.8999, scimark_benchmark: 1856.624, usercpu_time_millis: 7.326, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 6.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8454, kappa: 0.3561, kb_relative_information_score: 179.1064, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8426, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8862, scimark_benchmark: 1865.7043, usercpu_time_millis: 3.642, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 3.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7746, kb_relative_information_score: 15.9876, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.9288, scimark_benchmark: 1856.624, usercpu_time_millis: 3.851, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 3.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8244, kappa: 0.2452, kb_relative_information_score: 60.781, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8274, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9012, scimark_benchmark: 1862.7172, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8386, kappa: 0.3446, kb_relative_information_score: 199.5481, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8327, predictive_accuracy: 0.8502, prior_entropy: 0.622, recall: 0.8502, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.9208, scimark_benchmark: 1868.3779, usercpu_time_millis: 5.243, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 5.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.8303, kappa: 0.2724, kb_relative_information_score: 105.0638, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8345, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8924, scimark_benchmark: 1858.4577, usercpu_time_millis: 4.696, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8243, kappa: 0.2481, kb_relative_information_score: 81.1818, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8244, predictive_accuracy: 0.8535, prior_entropy: 0.622, recall: 0.8535, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.8971, scimark_benchmark: 1865.1205, usercpu_time_millis: 14.995, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 13.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7746, kb_relative_information_score: -82.2434, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9189, scimark_benchmark: 1859.825, usercpu_time_millis: 4.636, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8159, kappa: 0.2036, kb_relative_information_score: 31.0774, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8192, predictive_accuracy: 0.8516, prior_entropy: 0.622, recall: 0.8516, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9063, scimark_benchmark: 1864.2145, usercpu_time_millis: 5.45, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 4.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8375, kappa: 0.3238, kb_relative_information_score: 127.8674, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.833, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.9051, scimark_benchmark: 1848.2539, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.836, kappa: 0.298, kb_relative_information_score: 113.9786, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8421, predictive_accuracy: 0.8634, prior_entropy: 0.622, recall: 0.8634, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8884, scimark_benchmark: 1841.3989, usercpu_time_millis: 21.458, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 19.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7746, kb_relative_information_score: 8.6109, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9277, scimark_benchmark: 1850.7491, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8321, kappa: 0.2845, kb_relative_information_score: 104.5727, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8332, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.8926, scimark_benchmark: 1865.6416, usercpu_time_millis: 10.968, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 10.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.7746, kb_relative_information_score: 1.0955, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1856.0551, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 2.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.7746, kb_relative_information_score: 0.5942, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1854.637, usercpu_time_millis: 2.372, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8203, kappa: 0.2295, kb_relative_information_score: 54.4431, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8197, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9045, scimark_benchmark: 1858.4577, usercpu_time_millis: 12.518, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 11.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8368, kappa: 0.3006, kb_relative_information_score: 120.9305, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8439, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8857, scimark_benchmark: 1860.9209, usercpu_time_millis: 12.158, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 11.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7746, kb_relative_information_score: -82.769, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.333, root_relative_squared_error: 0.9211, scimark_benchmark: 1867.4074, usercpu_time_millis: 9.252, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 8.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.817, kappa: 0.2108, kb_relative_information_score: 29.6293, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8186, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9089, scimark_benchmark: 1855.5328, usercpu_time_millis: 4.67, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 4.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7741, kappa: -0.0019, kb_relative_information_score: -37.7381, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7146, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9187, scimark_benchmark: 1867.8613, usercpu_time_millis: 9.6, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 8.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7744, kappa: -0.0009, kb_relative_information_score: -25.0326, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.845, prior_entropy: 0.622, recall: 0.845, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.9138, scimark_benchmark: 1858.3518, usercpu_time_millis: 10.031, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 9.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8422, kappa: 0.3313, kb_relative_information_score: 150.2035, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8443, predictive_accuracy: 0.8649, prior_entropy: 0.622, recall: 0.8649, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8839, scimark_benchmark: 1850.5475, usercpu_time_millis: 8.125, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 7.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.825, kappa: 0.2462, kb_relative_information_score: 71.1698, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.83, predictive_accuracy: 0.8568, prior_entropy: 0.622, recall: 0.8568, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8985, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8432, kappa: 0.3394, kb_relative_information_score: 213.6648, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8432, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8767, scimark_benchmark: 1737.9395, usercpu_time_millis: 11.531, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 9.99,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8395, kappa: 0.3461, kb_relative_information_score: 225.2573, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8516, prior_entropy: 0.622, recall: 0.8516, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9061, scimark_benchmark: 1864.9656, usercpu_time_millis: 8.828, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 8.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8316, kappa: 0.2797, kb_relative_information_score: 142.8205, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8345, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.883, scimark_benchmark: 1861.442, usercpu_time_millis: 15.069, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 12.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8284, kappa: 0.2651, kb_relative_information_score: 97.682, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8573, prior_entropy: 0.622, recall: 0.8573, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8924, scimark_benchmark: 1859.4255, usercpu_time_millis: 20.19, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 18.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8286, kappa: 0.2677, kb_relative_information_score: 97.0227, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8296, predictive_accuracy: 0.8563, prior_entropy: 0.622, recall: 0.8563, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.8925, scimark_benchmark: 1877.289, usercpu_time_millis: 7.333, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 6.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8472, kappa: 0.363, kb_relative_information_score: 192.3611, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8451, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.8828, scimark_benchmark: 1844.3342, usercpu_time_millis: 28.559, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 26.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8407, kappa: 0.3439, kb_relative_information_score: 167.4166, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.9077, scimark_benchmark: 1859.017, usercpu_time_millis: 12.265, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 11.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8327, kappa: 0.2858, kb_relative_information_score: 93.2731, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8354, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8942, scimark_benchmark: 1854.6858, usercpu_time_millis: 20.917, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 19.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.7746, kb_relative_information_score: -1.3738, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1865.9789, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8474, kappa: 0.3608, kb_relative_information_score: 158.8705, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8465, predictive_accuracy: 0.8658, prior_entropy: 0.622, recall: 0.8658, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8843, scimark_benchmark: 1858.8563, usercpu_time_millis: 24.729, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 22.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8449, kappa: 0.3498, kb_relative_information_score: 135.6563, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8437, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8894, scimark_benchmark: 1866.8365, usercpu_time_millis: 23.689, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 22.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8103, kappa: 0.1767, kb_relative_information_score: 10.4146, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8124, predictive_accuracy: 0.8487, prior_entropy: 0.622, recall: 0.8487, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9112, scimark_benchmark: 1876.7581, usercpu_time_millis: 10.297, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 9.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8414, kappa: 0.3287, kb_relative_information_score: 178.1635, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8428, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8776, scimark_benchmark: 1850.0393, usercpu_time_millis: 10.791, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 9.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8301, kappa: 0.2699, kb_relative_information_score: 121.1866, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8363, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8878, scimark_benchmark: 1871.1584, usercpu_time_millis: 10.486, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 9.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7746, kb_relative_information_score: -84.7447, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.9197, scimark_benchmark: 1753.9957, usercpu_time_millis: 10.995, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 10.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7746, kb_relative_information_score: -0.9277, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1866.6776, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8347, kappa: 0.2964, kb_relative_information_score: 119.4352, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.891, scimark_benchmark: 1868.3779, usercpu_time_millis: 22.768, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 21.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8221, kappa: 0.2353, kb_relative_information_score: 63.3757, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8238, predictive_accuracy: 0.8535, prior_entropy: 0.622, recall: 0.8535, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9012, scimark_benchmark: 1865.8853, usercpu_time_millis: 13.384, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 12.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8374, kappa: 0.3103, kb_relative_information_score: 134.9604, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8857, scimark_benchmark: 1859.9421, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 7.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.8381, kappa: 0.3127, kb_relative_information_score: 122.6244, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8914, scimark_benchmark: 1862.932, usercpu_time_millis: 13.102, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 12.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7746, kb_relative_information_score: -60.0169, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9232, scimark_benchmark: 1858.9715, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7741, kappa: -0.0019, kb_relative_information_score: -32.0655, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7146, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.9159, scimark_benchmark: 1754.5573, usercpu_time_millis: 12.59, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 11.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.8287, kappa: 0.2851, kb_relative_information_score: 84.0222, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8226, predictive_accuracy: 0.8483, prior_entropy: 0.622, recall: 0.8483, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.9419, scimark_benchmark: 1866.1582, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.836, kappa: 0.3272, kb_relative_information_score: 219.435, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8299, predictive_accuracy: 0.8502, prior_entropy: 0.622, recall: 0.8502, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9031, scimark_benchmark: 1834.1145, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.8199, kappa: 0.2235, kb_relative_information_score: 46.7172, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8225, predictive_accuracy: 0.853, prior_entropy: 0.622, recall: 0.853, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9049, scimark_benchmark: 1857.0512, usercpu_time_millis: 11.094, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 10.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7744, kappa: -0.0009, kb_relative_information_score: -39.7231, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.845, prior_entropy: 0.622, recall: 0.845, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.9149, scimark_benchmark: 1755.3672, usercpu_time_millis: 13.376, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 12.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8503, kappa: 0.3717, kb_relative_information_score: 176.2903, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8511, predictive_accuracy: 0.8691, prior_entropy: 0.622, recall: 0.8691, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8833, scimark_benchmark: 1858.6978, usercpu_time_millis: 3.772, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8459, kappa: 0.355, kb_relative_information_score: 176.0204, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8445, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.883, scimark_benchmark: 1864.7283, usercpu_time_millis: 29.867, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 28.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8171, kappa: 0.2143, kb_relative_information_score: 34.2215, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8158, predictive_accuracy: 0.8492, prior_entropy: 0.622, recall: 0.8492, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9108, scimark_benchmark: 1874.8648, usercpu_time_millis: 16.868, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 16.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8186, kappa: 0.2271, kb_relative_information_score: 37.6584, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8141, predictive_accuracy: 0.8468, prior_entropy: 0.622, recall: 0.8468, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.9131, scimark_benchmark: 1869.4811, usercpu_time_millis: 30.708, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 29.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8192, kappa: 0.2212, kb_relative_information_score: 11.7335, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8208, predictive_accuracy: 0.8521, prior_entropy: 0.622, recall: 0.8521, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.911, scimark_benchmark: 1861.896, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.7746, kb_relative_information_score: 0.8741, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1877.2162, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.818, kappa: 0.2162, kb_relative_information_score: 24.5346, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8189, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.9085, scimark_benchmark: 1875.1826, usercpu_time_millis: 0.564, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.513,

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

OpenML bootcamp

From your own software

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

OpenML APIs