OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: -2407.6253, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1851.8567, usercpu_time_millis: 440.627, usercpu_time_millis_testing: 15.654, usercpu_time_millis_training: 424.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: -2517.6596, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1848.3319, usercpu_time_millis: 439.452, usercpu_time_millis_testing: 9.246, usercpu_time_millis_training: 430.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7594, kappa: 0.0178, kb_relative_information_score: -2494.2034, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1828.2308, usercpu_time_millis: 445.047, usercpu_time_millis_testing: 16.902, usercpu_time_millis_training: 428.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2436.2424, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7766, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1741.1004, usercpu_time_millis: 401.87, usercpu_time_millis_testing: 8.809, usercpu_time_millis_training: 393.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7699, kappa: 0.0617, kb_relative_information_score: -2444.9416, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8011, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1850.8706, usercpu_time_millis: 384.503, usercpu_time_millis_testing: 6.063, usercpu_time_millis_training: 378.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2328.804, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1851.3287, usercpu_time_millis: 344.44, usercpu_time_millis_testing: 20.002, usercpu_time_millis_training: 324.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2301.0065, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1122.8729, usercpu_time_millis: 374.863, usercpu_time_millis_testing: 21.559, usercpu_time_millis_training: 353.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7551, kb_relative_information_score: -1830.6775, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1826.8085, usercpu_time_millis: 336.532, usercpu_time_millis_testing: 20.11, usercpu_time_millis_training: 316.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7679, kappa: 0.0532, kb_relative_information_score: -2366.7718, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1744.295, usercpu_time_millis: 293.842, usercpu_time_millis_testing: 7.89, usercpu_time_millis_training: 285.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7581, kappa: 0.0125, kb_relative_information_score: -2661.2419, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7683, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1815.7383, usercpu_time_millis: 322.507, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 317.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2643.6049, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1852.355, usercpu_time_millis: 286.923, usercpu_time_millis_testing: 6.669, usercpu_time_millis_training: 280.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2391.2866, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.785, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1858.0974, usercpu_time_millis: 282.311, usercpu_time_millis_testing: 8.631, usercpu_time_millis_training: 273.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7551, kb_relative_information_score: -2559.8155, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9709, scimark_benchmark: 1815.5992, usercpu_time_millis: 286.18, usercpu_time_millis_testing: 13.055, usercpu_time_millis_training: 273.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -2321.2789, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7823, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1854.4431, usercpu_time_millis: 228.964, usercpu_time_millis_testing: 17.216, usercpu_time_millis_training: 211.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7592, kappa: 0.0168, kb_relative_information_score: -2400.7366, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8036, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1852.9259, usercpu_time_millis: 210.748, usercpu_time_millis_testing: 6.918, usercpu_time_millis_training: 203.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1872.4424, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1857.1082, usercpu_time_millis: 189.683, usercpu_time_millis_testing: 13.125, usercpu_time_millis_training: 176.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7627, kappa: 0.0315, kb_relative_information_score: -2222.1033, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1812.2788, usercpu_time_millis: 233.297, usercpu_time_millis_testing: 6.11, usercpu_time_millis_training: 227.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7551, kb_relative_information_score: -2811.6429, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9728, scimark_benchmark: 1858.0974, usercpu_time_millis: 205.585, usercpu_time_millis_testing: 11.492, usercpu_time_millis_training: 194.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -1781.5554, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8134, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1850.2875, usercpu_time_millis: 201.831, usercpu_time_millis_testing: 12.189, usercpu_time_millis_training: 189.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: -2453.5927, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1852.4707, usercpu_time_millis: 213.337, usercpu_time_millis_testing: 7.304, usercpu_time_millis_training: 206.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7718, kappa: 0.0702, kb_relative_information_score: -3961.2779, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1855.4813, usercpu_time_millis: 190.262, usercpu_time_millis_testing: 6.814, usercpu_time_millis_training: 183.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7551, kb_relative_information_score: -2485.5008, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1857.5664, usercpu_time_millis: 189.335, usercpu_time_millis_testing: 9.957, usercpu_time_millis_training: 179.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7564, kappa: 0.0053, kb_relative_information_score: -2548.0464, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7831, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1857.1082, usercpu_time_millis: 195.867, usercpu_time_millis_testing: 10.808, usercpu_time_millis_training: 185.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7736, kappa: 0.0779, kb_relative_information_score: -3631.4425, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1852.9259, usercpu_time_millis: 197.192, usercpu_time_millis_testing: 6.436, usercpu_time_millis_training: 190.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2494.3715, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7547, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1854.4431, usercpu_time_millis: 190.369, usercpu_time_millis_testing: 9.952, usercpu_time_millis_training: 180.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2424.2065, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7547, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1853.454, usercpu_time_millis: 190.541, usercpu_time_millis_testing: 8.086, usercpu_time_millis_training: 182.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.7551, kb_relative_information_score: -2633.4636, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1841.5689, usercpu_time_millis: 157.769, usercpu_time_millis_testing: 6.944, usercpu_time_millis_training: 150.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.76, kappa: 0.02, kb_relative_information_score: -2375.4141, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1853.454, usercpu_time_millis: 162.095, usercpu_time_millis_testing: 3.74, usercpu_time_millis_training: 158.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -1962.1468, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1857.0384, usercpu_time_millis: 169.35, usercpu_time_millis_testing: 13.35, usercpu_time_millis_training: 156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.7551, kb_relative_information_score: -3370.8318, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1853.9121, usercpu_time_millis: 143.998, usercpu_time_millis_testing: 11.021, usercpu_time_millis_training: 132.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7593, kappa: 0.0171, kb_relative_information_score: -2480.0024, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8124, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1832.5979, usercpu_time_millis: 138.715, usercpu_time_millis_testing: 12.143, usercpu_time_millis_training: 126.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7706, kappa: 0.065, kb_relative_information_score: -4098.396, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1807.7747, usercpu_time_millis: 128.162, usercpu_time_millis_testing: 4.333, usercpu_time_millis_training: 123.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7553, kappa: 0.0009, kb_relative_information_score: -2310.9863, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7618, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1802.6454, usercpu_time_millis: 140.914, usercpu_time_millis_testing: 8.377, usercpu_time_millis_training: 132.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7551, kb_relative_information_score: -2212.766, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1846.6923, usercpu_time_millis: 141.709, usercpu_time_millis_testing: 12.192, usercpu_time_millis_training: 129.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.7551, kb_relative_information_score: -4079.1445, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9864, scimark_benchmark: 1841.8494, usercpu_time_millis: 143.518, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 135.455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -24.3647, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 52.718, usercpu_time_millis_testing: 5.63, usercpu_time_millis_training: 47.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.7551, kb_relative_information_score: -3101.6598, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1818.4874, usercpu_time_millis: 86.26, usercpu_time_millis_testing: 5.057, usercpu_time_millis_training: 81.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2335.1612, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1811.1362, usercpu_time_millis: 76.583, usercpu_time_millis_testing: 4.326, usercpu_time_millis_training: 72.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7551, kb_relative_information_score: -1935.2902, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1854.4431, usercpu_time_millis: 68.051, usercpu_time_millis_testing: 3.895, usercpu_time_millis_training: 64.156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.3496, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1842.0566, usercpu_time_millis: 35.577, usercpu_time_millis_testing: 6.431, usercpu_time_millis_training: 29.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -36.1372, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1738.9977, usercpu_time_millis: 34.64, usercpu_time_millis_testing: 2.901, usercpu_time_millis_training: 31.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.7551, kb_relative_information_score: -2417.0742, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1859.1356, usercpu_time_millis: 60.097, usercpu_time_millis_testing: 3.417, usercpu_time_millis_training: 56.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.7551, kb_relative_information_score: -1562.5655, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1849.8294, usercpu_time_millis: 60.146, usercpu_time_millis_testing: 7.609, usercpu_time_millis_training: 52.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7551, kb_relative_information_score: -2387.5628, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1849.3014, usercpu_time_millis: 67.975, usercpu_time_millis_testing: 3.807, usercpu_time_millis_training: 64.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.7551, kb_relative_information_score: -3355.116, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.98, scimark_benchmark: 1852.9988, usercpu_time_millis: 43.973, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 41.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.7551, kb_relative_information_score: -3307.0219, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.98, scimark_benchmark: 1852.5406, usercpu_time_millis: 62.097, usercpu_time_millis_testing: 3.207, usercpu_time_millis_training: 58.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7551, kb_relative_information_score: -2104.2436, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1841.1108, usercpu_time_millis: 40.871, usercpu_time_millis_testing: 4.889, usercpu_time_millis_training: 35.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.769, kappa: 0.0579, kb_relative_information_score: -2643.2127, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1839.0605, usercpu_time_millis: 42.468, usercpu_time_millis_testing: 1.752, usercpu_time_millis_training: 40.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.7551, kb_relative_information_score: -2302.9727, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9892, scimark_benchmark: 1853.3841, usercpu_time_millis: 54.716, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 50.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.7551, kb_relative_information_score: -1802.091, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1828.686, usercpu_time_millis: 29.214, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 27.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.7551, kb_relative_information_score: -3740.6482, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9845, scimark_benchmark: 1851.8567, usercpu_time_millis: 51.444, usercpu_time_millis_testing: 3.27, usercpu_time_millis_training: 48.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -20.6763, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 49.738, usercpu_time_millis_testing: 5.98, usercpu_time_millis_training: 43.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7551, kb_relative_information_score: -1902.8687, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1854.4431, usercpu_time_millis: 43.996, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 41.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7551, kb_relative_information_score: -2285.3021, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9832, scimark_benchmark: 1841.8649, usercpu_time_millis: 18.435, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 17.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7551, kb_relative_information_score: -2763.0691, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9716, scimark_benchmark: 1823.4313, usercpu_time_millis: 48.554, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 45.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.7551, kb_relative_information_score: -2236.2319, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1822.3184, usercpu_time_millis: 51.532, usercpu_time_millis_testing: 4.373, usercpu_time_millis_training: 47.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -36.8486, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.094, usercpu_time_millis_testing: 3.158, usercpu_time_millis_training: 25.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: 0.2985, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 38.793, usercpu_time_millis_testing: 6.968, usercpu_time_millis_training: 31.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.1018, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1856.7258, usercpu_time_millis: 11.032, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 9.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7551, kb_relative_information_score: -2030.0647, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1855.4813, usercpu_time_millis: 15.985, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 14.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -3.6846, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1811.8207, usercpu_time_millis: 19.644, usercpu_time_millis_testing: 3.378, usercpu_time_millis_training: 16.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.7551, kb_relative_information_score: -2690.87, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1828.2308, usercpu_time_millis: 24.489, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 23.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -18.6678, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 33.096, usercpu_time_millis_testing: 4.344, usercpu_time_millis_training: 28.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.7551, kb_relative_information_score: -2577.4895, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9898, scimark_benchmark: 1832.5979, usercpu_time_millis: 12.704, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 12.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -2474.7879, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7815, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1843.1261, usercpu_time_millis: 12.781, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 12.479,

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