Task
Supervised Classification on fri_c1_500_5

Supervised Classification on fri_c1_500_5

Task 3734 Supervised Classification fri_c1_500_5 572 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.712, kappa: 0.4213, kb_relative_information_score: 118.7634, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.712, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8438, kappa: 0.6859, kb_relative_information_score: 310.7836, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7159, kappa: 0.429, kb_relative_information_score: 123.0278, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7159, predictive_accuracy: 0.716, prior_entropy: 0.9967, recall: 0.716, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.7078, kappa: 0.4126, kb_relative_information_score: 135.6828, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7077, predictive_accuracy: 0.708, prior_entropy: 0.9967, recall: 0.708, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8755, kappa: 0.7495, kb_relative_information_score: 334.0243, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.836, kappa: 0.6707, kb_relative_information_score: 310.8167, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8918, kappa: 0.7823, kb_relative_information_score: 392.4094, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8926, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7057, kappa: 0.4081, kb_relative_information_score: 139.9846, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.706, prior_entropy: 0.9967, recall: 0.706, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8781, kappa: 0.7556, kb_relative_information_score: 328.5541, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8791, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.85, kappa: 0.6985, kb_relative_information_score: 325.9989, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.7239, kappa: 0.4451, kb_relative_information_score: 114.0518, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7239, predictive_accuracy: 0.724, prior_entropy: 0.9967, recall: 0.724, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8398, kappa: 0.678, kb_relative_information_score: 272.6228, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7602, kappa: 0.5188, kb_relative_information_score: 102.6845, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7608, predictive_accuracy: 0.76, prior_entropy: 0.9967, recall: 0.76, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6918, kappa: 0.3805, kb_relative_information_score: 181.994, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.692, prior_entropy: 0.9967, recall: 0.692, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8837, kappa: 0.766, kb_relative_information_score: 349.4511, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8848, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8531, kappa: 0.7046, kb_relative_information_score: 252.321, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8566, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8181, kappa: 0.6346, kb_relative_information_score: 298.3494, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8182, predictive_accuracy: 0.818, prior_entropy: 0.9967, recall: 0.818, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.844, kappa: 0.6867, kb_relative_information_score: 277.8862, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8801, kappa: 0.7591, kb_relative_information_score: 345.3544, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.714, kappa: 0.4252, kb_relative_information_score: 118.7905, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9967, recall: 0.714, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.698, kappa: 0.3934, kb_relative_information_score: 118.9957, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6981, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.714, kappa: 0.4252, kb_relative_information_score: 118.7905, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9967, recall: 0.714, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7001, kappa: 0.3975, kb_relative_information_score: 197.9917, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7002, predictive_accuracy: 0.7, prior_entropy: 0.9967, recall: 0.7, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7641, kappa: 0.5261, kb_relative_information_score: 262.4173, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7641, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.72, kappa: 0.4374, kb_relative_information_score: 122.9333, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9967, recall: 0.72, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.838, kappa: 0.6746, kb_relative_information_score: 291.7546, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8916, kappa: 0.7819, kb_relative_information_score: 343.8629, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8935, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7217, kappa: 0.4403, kb_relative_information_score: 220.138, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7216, predictive_accuracy: 0.722, prior_entropy: 0.9967, recall: 0.722, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8537, kappa: 0.7058, kb_relative_information_score: 343.0983, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8543, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.714, kappa: 0.4252, kb_relative_information_score: 118.7905, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9967, recall: 0.714, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8681, kappa: 0.7351, kb_relative_information_score: 324.7835, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8699, kappa: 0.7384, kb_relative_information_score: 318.2993, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8339, kappa: 0.6662, kb_relative_information_score: 332.8828, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8339, predictive_accuracy: 0.834, prior_entropy: 0.9967, recall: 0.834, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8262, kappa: 0.6514, kb_relative_information_score: 324.8296, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8272, predictive_accuracy: 0.826, prior_entropy: 0.9967, recall: 0.826, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8836, kappa: 0.7658, kb_relative_information_score: 383.2153, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8855, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8551, kappa: 0.7086, kb_relative_information_score: 355.0291, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8589, predictive_accuracy: 0.856, prior_entropy: 0.9967, recall: 0.856, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8795, kappa: 0.7577, kb_relative_information_score: 379.1887, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.754, kappa: 0.5072, kb_relative_information_score: 256.3774, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7652, predictive_accuracy: 0.758, prior_entropy: 0.9967, recall: 0.758, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9862, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6957, kappa: 0.3882, kb_relative_information_score: 193.9651, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6956, predictive_accuracy: 0.696, prior_entropy: 0.9967, recall: 0.696, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1053, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8701, kappa: 0.7393, kb_relative_information_score: 369.1222, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7228, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5601, kappa: 0.1164, kb_relative_information_score: 57.0606, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.5602, predictive_accuracy: 0.56, prior_entropy: 0.9967, recall: 0.56, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3297, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7855, kappa: 0.5685, kb_relative_information_score: 185.5558, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9967, recall: 0.786, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8216, scimark_benchmark: 1385.1691, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5601, kappa: 0.1164, kb_relative_information_score: 57.0606, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.5602, predictive_accuracy: 0.56, prior_entropy: 0.9967, recall: 0.56, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3297, scimark_benchmark: 1593.1176, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8511, kappa: 0.7005, kb_relative_information_score: 307.7178, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8548, predictive_accuracy: 0.852, prior_entropy: 0.9967, recall: 0.852, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7119, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7858, kappa: 0.5692, kb_relative_information_score: 178.348, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7858, predictive_accuracy: 0.786, prior_entropy: 0.9967, recall: 0.786, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8285, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.6541, kappa: 0.3042, kb_relative_information_score: 88.8604, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6552, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9227, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7217, kappa: 0.4403, kb_relative_information_score: 220.138, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7216, predictive_accuracy: 0.722, prior_entropy: 0.9967, recall: 0.722, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.057, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7001, kappa: 0.3975, kb_relative_information_score: 197.9917, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7002, predictive_accuracy: 0.7, prior_entropy: 0.9967, recall: 0.7, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.098, scimark_benchmark: 1270.0453, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.6503, kappa: 0.2965, kb_relative_information_score: 90.8076, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6511, predictive_accuracy: 0.652, prior_entropy: 0.9967, recall: 0.652, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9233, scimark_benchmark: 992.7324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8741, kappa: 0.7481, kb_relative_information_score: 324.4868, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8768, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5883, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8458, kappa: 0.6942, kb_relative_information_score: 362.4377, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8582, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6239, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7741, kappa: 0.5579, kb_relative_information_score: 293.0864, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8002, predictive_accuracy: 0.776, prior_entropy: 0.9967, recall: 0.776, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7536, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8381, kappa: 0.6772, kb_relative_information_score: 247.9398, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.838, prior_entropy: 0.9967, recall: 0.838, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6999, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8801, kappa: 0.7591, kb_relative_information_score: 345.3544, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5903, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.844, kappa: 0.6867, kb_relative_information_score: 277.8862, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6844, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8816, kappa: 0.7618, kb_relative_information_score: 381.202, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8832, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7122, kappa: 0.4223, kb_relative_information_score: 210.0715, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0758, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7123, kappa: 0.4235, kb_relative_information_score: 210.0715, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7138, predictive_accuracy: 0.712, prior_entropy: 0.9967, recall: 0.712, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0758, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8595, kappa: 0.7175, kb_relative_information_score: 314.709, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8609, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6961, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8596, kappa: 0.7176, kb_relative_information_score: 312.0297, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7049, scimark_benchmark: 1870.7932,

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