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: 0.6487, f_measure: 0.7551, kb_relative_information_score: -1674.7247, mean_absolute_error: 0.2762, 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: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1723.1624, usercpu_time_millis: 64.385, usercpu_time_millis_testing: 7.29, usercpu_time_millis_training: 57.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7551, kb_relative_information_score: -2209.3892, 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: 0.9786, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1858.6775, usercpu_time_millis: 109.166, usercpu_time_millis_testing: 10.002, usercpu_time_millis_training: 99.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7707, kappa: 0.0652, kb_relative_information_score: -3554.7103, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1843.657, usercpu_time_millis: 234.882, usercpu_time_millis_testing: 8.426, usercpu_time_millis_training: 226.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2113.8766, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8213, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1725.2907, usercpu_time_millis: 255.587, usercpu_time_millis_testing: 18.867, usercpu_time_millis_training: 236.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2485.192, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1837.7525, usercpu_time_millis: 506.937, usercpu_time_millis_testing: 15.051, usercpu_time_millis_training: 491.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.8748, 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: 1734.2107, usercpu_time_millis: 7.431, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 6.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.0191, mean_absolute_error: 0.28, 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: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 786.4762, usercpu_time_millis: 17.76, usercpu_time_millis_testing: 1.963, usercpu_time_millis_training: 15.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7551, kb_relative_information_score: -2015.088, 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: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1831.5447, usercpu_time_millis: 138.184, usercpu_time_millis_testing: 17.087, usercpu_time_millis_training: 121.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.7551, kb_relative_information_score: -2130.1091, mean_absolute_error: 0.2753, 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: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1837.1965, usercpu_time_millis: 25.377, usercpu_time_millis_testing: 2.742, usercpu_time_millis_training: 22.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.7551, kb_relative_information_score: -2517.5745, mean_absolute_error: 0.276, 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: 0.9853, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 788.7496, usercpu_time_millis: 137.345, usercpu_time_millis_testing: 9.177, usercpu_time_millis_training: 128.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7719, kappa: 0.0703, kb_relative_information_score: -3615.4007, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1775.3315, usercpu_time_millis: 146.026, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 141.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7747, kappa: 0.0831, kb_relative_information_score: -3447.9267, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1854.4951, usercpu_time_millis: 186.62, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 183.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7551, kb_relative_information_score: -1791.9113, 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: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1729.1953, usercpu_time_millis: 61.745, usercpu_time_millis_testing: 4.418, usercpu_time_millis_training: 57.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.7551, kb_relative_information_score: -1884.1626, mean_absolute_error: 0.2727, 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: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9794, scimark_benchmark: 1845.7527, usercpu_time_millis: 28.004, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 25.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7718, kappa: 0.0703, kb_relative_information_score: -2636.6452, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1736.1564, usercpu_time_millis: 107.309, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 106.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7611, kappa: 0.0246, kb_relative_information_score: -2520.2154, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1840.8272, usercpu_time_millis: 384.288, usercpu_time_millis_testing: 17.968, usercpu_time_millis_training: 366.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -12.8475, 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: 1731.5618, usercpu_time_millis: 10.159, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 8.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.7551, kb_relative_information_score: -2097.8259, 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: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1850.9652, usercpu_time_millis: 33.407, usercpu_time_millis_testing: 2.188, usercpu_time_millis_training: 31.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.7551, kb_relative_information_score: -2266.6048, 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: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 786.7164, usercpu_time_millis: 57.171, usercpu_time_millis_testing: 4.062, usercpu_time_millis_training: 53.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7551, kb_relative_information_score: -2826.6894, mean_absolute_error: 0.269, 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: 0.9602, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1849.3014, usercpu_time_millis: 139.152, usercpu_time_millis_testing: 7.627, usercpu_time_millis_training: 131.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.762, kappa: 0.0283, kb_relative_information_score: -2667.9709, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1789.116, usercpu_time_millis: 143.058, usercpu_time_millis_testing: 3.842, usercpu_time_millis_training: 139.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2466.4264, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7854, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1733.7613, usercpu_time_millis: 713.697, usercpu_time_millis_testing: 17.168, usercpu_time_millis_training: 696.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7642, kappa: 0.0378, kb_relative_information_score: -2226.877, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1849.7619, usercpu_time_millis: 12.88, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 12.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7551, kb_relative_information_score: -1895.4729, mean_absolute_error: 0.276, 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: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 789.3389, usercpu_time_millis: 73.094, usercpu_time_millis_testing: 6.019, usercpu_time_millis_training: 67.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2434.3885, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7732, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1858.2223, usercpu_time_millis: 91.23, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 89.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7551, kb_relative_information_score: -2467.9483, mean_absolute_error: 0.2652, 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: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1813.2219, usercpu_time_millis: 295.856, usercpu_time_millis_testing: 12.005, usercpu_time_millis_training: 283.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2547.4627, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7861, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1842.4579, usercpu_time_millis: 501.527, usercpu_time_millis_testing: 9.973, usercpu_time_millis_training: 491.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.7585, kappa: 0.0142, kb_relative_information_score: -3087.3564, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7706, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1852.859, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.7551, kb_relative_information_score: -2246.609, mean_absolute_error: 0.2755, 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: 0.9835, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1721.3501, usercpu_time_millis: 25.427, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 23.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7551, kb_relative_information_score: -1889.1984, mean_absolute_error: 0.2729, 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: 0.9741, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9799, scimark_benchmark: 1851.827, usercpu_time_millis: 54.348, usercpu_time_millis_testing: 5.317, usercpu_time_millis_training: 49.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2472.8416, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1851.8173, usercpu_time_millis: 193.785, usercpu_time_millis_testing: 8.051, usercpu_time_millis_training: 185.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7732, kappa: 0.0761, kb_relative_information_score: -3141.4424, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 787.078, usercpu_time_millis: 333.581, usercpu_time_millis_testing: 5.073, usercpu_time_millis_training: 328.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7691, kappa: 0.0587, kb_relative_information_score: -2614.5342, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1852.9259, usercpu_time_millis: 827.422, usercpu_time_millis_testing: 6.795, usercpu_time_millis_training: 820.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7603, kappa: 0.0215, kb_relative_information_score: -2567.985, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 788.7358, usercpu_time_millis: 429.728, usercpu_time_millis_testing: 8.303, usercpu_time_millis_training: 421.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2579.6131, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 787.3466, usercpu_time_millis: 436.882, usercpu_time_millis_testing: 8.702, usercpu_time_millis_training: 428.18,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2522.3707, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1759.5215, usercpu_time_millis: 212.126, usercpu_time_millis_testing: 4.572, usercpu_time_millis_training: 207.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7603, kappa: 0.0216, kb_relative_information_score: -2616.6136, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7909, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1833.8456, usercpu_time_millis: 12.755, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 12.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -2338.4146, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8041, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, 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: 1755.7828, usercpu_time_millis: 17.132, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 16.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7551, kb_relative_information_score: -1914.2654, mean_absolute_error: 0.2725, 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: 0.9728, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9791, scimark_benchmark: 1837.4118, usercpu_time_millis: 68.337, usercpu_time_millis_testing: 4.994, usercpu_time_millis_training: 63.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3218.9413, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1754.8402, usercpu_time_millis: 145.681, usercpu_time_millis_testing: 6.451, usercpu_time_millis_training: 139.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7614, kappa: 0.026, kb_relative_information_score: -2554.6965, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1842.0357, usercpu_time_millis: 256.452, usercpu_time_millis_testing: 8.972, usercpu_time_millis_training: 247.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.7557, kappa: 0.0023, kb_relative_information_score: -3512.8213, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7892, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9784, scimark_benchmark: 1784.3508, usercpu_time_millis: 86.896, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 82.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2542.9561, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1758.1467, usercpu_time_millis: 261.141, usercpu_time_millis_testing: 6.443, usercpu_time_millis_training: 254.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7648, kappa: 0.04, kb_relative_information_score: -2575.8379, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1836.8952, usercpu_time_millis: 266.344, usercpu_time_millis_testing: 18.353, usercpu_time_millis_training: 247.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, kb_relative_information_score: -68.1631, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7601, kappa: 0.0206, kb_relative_information_score: -2499.6885, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7911, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1857.5664, usercpu_time_millis: 56.592, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 55.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7753, kappa: 0.0866, kb_relative_information_score: -3400.8707, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7857, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 786.6631, usercpu_time_millis: 91.603, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 90.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2498.7287, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, 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: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1853.3841, usercpu_time_millis: 14.47, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 14.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7551, kb_relative_information_score: -3345.6289, mean_absolute_error: 0.2731, 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: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 1857.1082, usercpu_time_millis: 117.98, usercpu_time_millis_testing: 9.298, usercpu_time_millis_training: 108.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7611, kappa: 0.0248, kb_relative_information_score: -2511.0852, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1858.6775, usercpu_time_millis: 186.56, usercpu_time_millis_testing: 7.003, usercpu_time_millis_training: 179.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7551, kb_relative_information_score: -2267.6516, mean_absolute_error: 0.2734, 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: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1858.6076, usercpu_time_millis: 28.201, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 26.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.7551, kb_relative_information_score: -2245.3467, mean_absolute_error: 0.2758, 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: 0.9846, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1854.1098, usercpu_time_millis: 64.009, usercpu_time_millis_testing: 5.937, usercpu_time_millis_training: 58.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -2440.7653, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1850.1379, usercpu_time_millis: 62.645, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 61.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2769.976, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1853.5818, usercpu_time_millis: 71.135, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 67.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -2441.5677, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1854.1098, usercpu_time_millis: 541.536, usercpu_time_millis_testing: 14.354, usercpu_time_millis_training: 527.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7584, kappa: 0.0137, kb_relative_information_score: -2503.9188, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7865, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1855.4813, usercpu_time_millis: 547.447, usercpu_time_millis_testing: 15.9, usercpu_time_millis_training: 531.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7601, kappa: 0.0207, kb_relative_information_score: -2476.205, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1852.9259, usercpu_time_millis: 200.574, usercpu_time_millis_testing: 9.07, usercpu_time_millis_training: 191.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2688.5836, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1852.4008, usercpu_time_millis: 378.761, usercpu_time_millis_testing: 19.201, usercpu_time_millis_training: 359.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7551, kb_relative_information_score: -3066.115, mean_absolute_error: 0.2675, 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: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1852.5406, usercpu_time_millis: 257.39, usercpu_time_millis_testing: 10.727, usercpu_time_millis_training: 246.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7687, kappa: 0.0569, kb_relative_information_score: -2671.8585, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1853.3841, usercpu_time_millis: 424.156, usercpu_time_millis_testing: 8.027, usercpu_time_millis_training: 416.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2375.0171, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7892, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1755.4318, usercpu_time_millis: 531.721, usercpu_time_millis_testing: 12.66, usercpu_time_millis_training: 519.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.7551, kb_relative_information_score: -1004.3148, mean_absolute_error: 0.278, 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: 0.9925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.993, scimark_benchmark: 1736.9559, usercpu_time_millis: 3.951, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7551, kb_relative_information_score: -2421.05, mean_absolute_error: 0.269, 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: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1854.789, usercpu_time_millis: 84.285, usercpu_time_millis_testing: 8.21, usercpu_time_millis_training: 76.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2418.4689, mean_absolute_error: 0.2681, 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: 0.9571, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1847.3406, usercpu_time_millis: 145.46, usercpu_time_millis_testing: 11.101, usercpu_time_millis_training: 134.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7557, kappa: 0.0024, kb_relative_information_score: -3194.2771, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1851.4233, usercpu_time_millis: 52.857, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 50.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.77, kappa: 0.0622, kb_relative_information_score: -2275.0458, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1836.3282, usercpu_time_millis: 157.02, usercpu_time_millis_testing: 2.65, usercpu_time_millis_training: 154.37,

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