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: 0.6855, f_measure: 0.7597, kappa: 0.0188, kb_relative_information_score: -2532.9464, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1845.8368, usercpu_time_millis: 172.337, usercpu_time_millis_testing: 7.799, usercpu_time_millis_training: 164.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7643, kappa: 0.0382, kb_relative_information_score: -2649.0253, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1858.1494, usercpu_time_millis: 207.279, usercpu_time_millis_testing: 11.368, usercpu_time_millis_training: 195.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -2488.7757, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1823.4197, usercpu_time_millis: 182.202, usercpu_time_millis_testing: 5.638, usercpu_time_millis_training: 176.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.7555, kappa: 0.0018, kb_relative_information_score: -3114.7686, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1850.9434, usercpu_time_millis: 161.021, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 155.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7595, kappa: 0.0181, kb_relative_information_score: -2435.0808, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7912, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1853.454, usercpu_time_millis: 158.657, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 155.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7551, kb_relative_information_score: -1969.189, mean_absolute_error: 0.2691, 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: 0.9605, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1859.1356, usercpu_time_millis: 173.84, usercpu_time_millis_testing: 15.534, usercpu_time_millis_training: 158.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -2916.7971, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1856.125, usercpu_time_millis: 162.689, usercpu_time_millis_testing: 12.371, usercpu_time_millis_training: 150.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1849.5814, 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: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9682, scimark_benchmark: 1848.321, usercpu_time_millis: 142.822, usercpu_time_millis_testing: 8.431, usercpu_time_millis_training: 134.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: -1786.473, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1849.447, usercpu_time_millis: 158.093, usercpu_time_millis_testing: 8.691, usercpu_time_millis_training: 149.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7551, kb_relative_information_score: -1966.5229, mean_absolute_error: 0.2707, 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: 0.9664, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9752, scimark_benchmark: 1856.6468, usercpu_time_millis: 133.095, usercpu_time_millis_testing: 9.702, usercpu_time_millis_training: 123.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7551, kb_relative_information_score: -1912.819, mean_absolute_error: 0.2686, 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: 0.9589, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1853.9121, usercpu_time_millis: 169.012, usercpu_time_millis_testing: 10.542, usercpu_time_millis_training: 158.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7666, kappa: 0.0478, kb_relative_information_score: -2199.2874, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9605, scimark_benchmark: 1685.2638, usercpu_time_millis: 160.174, usercpu_time_millis_testing: 3.858, usercpu_time_millis_training: 156.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: -2387.0194, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1830.387, usercpu_time_millis: 170.865, usercpu_time_millis_testing: 5.292, usercpu_time_millis_training: 165.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -2453.6962, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7703, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1850.2875, usercpu_time_millis: 151.65, usercpu_time_millis_testing: 7.579, usercpu_time_millis_training: 144.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7563, kappa: 0.0047, kb_relative_information_score: -2484.4019, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7761, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1846.6923, usercpu_time_millis: 156.815, usercpu_time_millis_testing: 3.766, usercpu_time_millis_training: 153.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.7562, kappa: 0.0045, kb_relative_information_score: -3478.7331, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9789, scimark_benchmark: 1857.5664, usercpu_time_millis: 149.054, usercpu_time_millis_testing: 6.834, usercpu_time_millis_training: 142.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7551, kb_relative_information_score: -1854.135, mean_absolute_error: 0.2678, 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: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1736.4936, usercpu_time_millis: 129.788, usercpu_time_millis_testing: 7.067, usercpu_time_millis_training: 122.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.7551, kb_relative_information_score: -3104.6931, mean_absolute_error: 0.2721, 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: 0.9715, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9809, scimark_benchmark: 1857.5664, usercpu_time_millis: 145.827, usercpu_time_millis_testing: 9.488, usercpu_time_millis_training: 136.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.758, kappa: 0.012, kb_relative_information_score: -3056.524, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1747.3035, usercpu_time_millis: 149.416, usercpu_time_millis_testing: 8.58, usercpu_time_millis_training: 140.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7551, kb_relative_information_score: -2290.2987, mean_absolute_error: 0.2723, 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: 0.9719, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1799.2518, usercpu_time_millis: 134.797, usercpu_time_millis_testing: 10.517, usercpu_time_millis_training: 124.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7767, kappa: 0.0944, kb_relative_information_score: -4572.4836, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7796, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1838.6892, usercpu_time_millis: 105.647, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 103.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.7551, kb_relative_information_score: -2294.2488, 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: 1799.7828, usercpu_time_millis: 134.111, usercpu_time_millis_testing: 9.839, usercpu_time_millis_training: 124.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7551, kb_relative_information_score: -1957.0061, 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: 0.9582, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1853.3841, usercpu_time_millis: 139.666, usercpu_time_millis_testing: 9.369, usercpu_time_millis_training: 130.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2498.6364, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1838.8322, usercpu_time_millis: 143.083, usercpu_time_millis_testing: 7.921, usercpu_time_millis_training: 135.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7551, kb_relative_information_score: -1963.5216, mean_absolute_error: 0.2711, 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: 0.9679, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.976, scimark_benchmark: 1843.1686, usercpu_time_millis: 127.394, usercpu_time_millis_testing: 9.779, usercpu_time_millis_training: 117.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -3646.3249, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9796, scimark_benchmark: 1855.4813, usercpu_time_millis: 98.729, usercpu_time_millis_testing: 5.015, usercpu_time_millis_training: 93.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.7551, kb_relative_information_score: -2982.4399, mean_absolute_error: 0.2711, 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: 0.9679, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9784, scimark_benchmark: 1856.5802, usercpu_time_millis: 118.215, usercpu_time_millis_testing: 9.068, usercpu_time_millis_training: 109.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -2165.0136, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1847.3406, usercpu_time_millis: 85.241, usercpu_time_millis_testing: 10.096, usercpu_time_millis_training: 75.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7551, kb_relative_information_score: -1902.5523, mean_absolute_error: 0.2726, 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: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1773.0602, usercpu_time_millis: 125.229, usercpu_time_millis_testing: 10.012, usercpu_time_millis_training: 115.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.7551, kb_relative_information_score: -1328.4899, 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: 0.987, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1682.3002, usercpu_time_millis: 114.071, usercpu_time_millis_testing: 13.238, usercpu_time_millis_training: 100.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7619, kappa: 0.028, kb_relative_information_score: -2237.6908, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.805, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1849.8294, usercpu_time_millis: 101.496, usercpu_time_millis_testing: 2.546, usercpu_time_millis_training: 98.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7551, kb_relative_information_score: -4066.0096, mean_absolute_error: 0.2726, 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: 0.9732, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9856, scimark_benchmark: 1709.6361, usercpu_time_millis: 108.752, usercpu_time_millis_testing: 7.409, usercpu_time_millis_training: 101.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1923.8853, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8254, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1840.8475, usercpu_time_millis: 92.096, usercpu_time_millis_testing: 8.354, usercpu_time_millis_training: 83.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7592, kappa: 0.0168, kb_relative_information_score: -2332.1592, mean_absolute_error: 0.2625, 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: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1830.4098, usercpu_time_millis: 103.879, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 100.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.7551, kb_relative_information_score: -2738.2996, mean_absolute_error: 0.2733, 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: 0.9758, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9827, scimark_benchmark: 1847.7335, usercpu_time_millis: 98.778, usercpu_time_millis_testing: 8.32, usercpu_time_millis_training: 90.458,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7632, kappa: 0.0336, kb_relative_information_score: -2278.1654, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1942.3264, usercpu_time_millis: 41.182, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 40.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7551, kb_relative_information_score: -1708.1513, mean_absolute_error: 0.2745, 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: 0.98, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1842.6198, usercpu_time_millis: 55.677, usercpu_time_millis_testing: 5.526, usercpu_time_millis_training: 50.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7551, kb_relative_information_score: -2693.7146, mean_absolute_error: 0.2715, 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: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1844.149, usercpu_time_millis: 45.606, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 42.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.7551, kb_relative_information_score: -3807.9217, mean_absolute_error: 0.2735, 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: 0.9763, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1781.091, usercpu_time_millis: 28.844, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 27.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3226.0916, 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: 1852.5406, usercpu_time_millis: 60.6, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 58.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -14.1187, 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: 1825.9607, usercpu_time_millis: 47.164, usercpu_time_millis_testing: 4.083, usercpu_time_millis_training: 43.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -1857.6056, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1854.4431, usercpu_time_millis: 60.177, usercpu_time_millis_testing: 4.457, usercpu_time_millis_training: 55.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7551, kb_relative_information_score: -2401.4573, mean_absolute_error: 0.2689, 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: 0.9598, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9725, scimark_benchmark: 1853.5297, usercpu_time_millis: 57.873, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 54.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.8393, 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: 1797.8352, usercpu_time_millis: 20.693, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 17.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.7551, kb_relative_information_score: -3694.7743, mean_absolute_error: 0.2732, 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: 0.9753, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1846.985, usercpu_time_millis: 14.455, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 13.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.7551, kb_relative_information_score: -3209.0381, 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: 0.9734, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1810.3793, usercpu_time_millis: 18.388, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 17.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -13.7127, 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: 1853.3841, usercpu_time_millis: 13.052, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 11.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7551, kb_relative_information_score: -2684.7947, 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: 0.962, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1841.7546, usercpu_time_millis: 13.471, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 12.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.3523, 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: 1856.0123, usercpu_time_millis: 40.335, usercpu_time_millis_testing: 7.066, usercpu_time_millis_training: 33.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -1892.0752, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8229, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1847.8629, usercpu_time_millis: 25.654, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 24.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -42.8321, 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: 1806.1213, usercpu_time_millis: 13.939, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 13.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7628, kappa: 0.032, kb_relative_information_score: -2935.3358, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1836.517, usercpu_time_millis: 55.33, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 53.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7551, kb_relative_information_score: -2242.7716, 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: 0.9771, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1820.7612, usercpu_time_millis: 59.533, usercpu_time_millis_testing: 7.814, usercpu_time_millis_training: 51.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -3045.4303, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7879, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9733, scimark_benchmark: 1847.8034, usercpu_time_millis: 22.253, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 21.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: 4.6922, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1838.3561, usercpu_time_millis: 31.66, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 26.136,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.7551, kb_relative_information_score: -3936.6462, mean_absolute_error: 0.2726, 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: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9849, scimark_benchmark: 1773.0092, usercpu_time_millis: 48.643, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 46.058,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2420.3164, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1776.5476, usercpu_time_millis: 8.701, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 8.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.7551, kb_relative_information_score: -1454.2491, 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: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1817.1684, usercpu_time_millis: 16.768, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 15.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.7551, kb_relative_information_score: -2979.1401, mean_absolute_error: 0.2745, 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: 0.9801, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9865, scimark_benchmark: 1822.1045, usercpu_time_millis: 42.9, usercpu_time_millis_testing: 2.958, usercpu_time_millis_training: 39.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7609, kappa: 0.0239, kb_relative_information_score: -2598.3419, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1836.735, usercpu_time_millis: 22.101, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 21.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7551, kb_relative_information_score: -1988.1764, 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: 0.365, root_relative_squared_error: 0.9753, scimark_benchmark: 1737.8652, usercpu_time_millis: 12.282, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 11.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7551, kb_relative_information_score: -2019.9304, mean_absolute_error: 0.2692, 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: 0.9609, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1749.0864, usercpu_time_millis: 39.497, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 37.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.7551, kb_relative_information_score: -1313.6012, mean_absolute_error: 0.2767, 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: 0.9878, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1855.1687, usercpu_time_millis: 12.068, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 10.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -31.5728, 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: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1815.141, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.848,

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