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: 0.6861, f_measure: 0.7551, kb_relative_information_score: -2374.1938, mean_absolute_error: 0.2683, 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: 0.9577, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9714, scimark_benchmark: 1853.0716, usercpu_time_millis: 123.487, usercpu_time_millis_testing: 10.49, usercpu_time_millis_training: 112.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -2301.6409, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1854.4951, usercpu_time_millis: 126.98, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 125.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2617.0774, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1855.5541, usercpu_time_millis: 245.171, usercpu_time_millis_testing: 7.308, usercpu_time_millis_training: 237.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7587, kappa: 0.0149, kb_relative_information_score: -2493.5406, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1847.7345, usercpu_time_millis: 106.575, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 101.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.7776, kappa: 0.1014, kb_relative_information_score: -4310.6798, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7737, predictive_accuracy: 0.8271, prior_entropy: 0.6541, recall: 0.8271, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1854.0399, usercpu_time_millis: 97, usercpu_time_millis_testing: 2.834, usercpu_time_millis_training: 94.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7551, kb_relative_information_score: -1678.1258, mean_absolute_error: 0.2748, 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: 0.9808, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9844, scimark_benchmark: 1854.4951, usercpu_time_millis: 65.25, usercpu_time_millis_testing: 8.825, usercpu_time_millis_training: 56.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7693, kappa: 0.0594, kb_relative_information_score: -2874.8302, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1853.9121, usercpu_time_millis: 190.907, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 187.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7697, kappa: 0.0611, kb_relative_information_score: -3646.7267, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1852.1045, usercpu_time_millis: 48.834, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 45.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -1826.834, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.84, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1844.8764, usercpu_time_millis: 40.843, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 39.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.7568, kappa: 0.0068, kb_relative_information_score: -2467.0468, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7788, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1851.3688, usercpu_time_millis: 147.295, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 143.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7551, kb_relative_information_score: -1967.6356, mean_absolute_error: 0.2698, 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: 0.9633, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1842.7093, usercpu_time_millis: 171.478, usercpu_time_millis_testing: 12.512, usercpu_time_millis_training: 158.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7602, kappa: 0.0212, kb_relative_information_score: -2894.2639, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7784, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1852.9988, usercpu_time_millis: 4.91, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 4.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2888.0903, 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: 0.9556, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1848.2615, usercpu_time_millis: 115.644, usercpu_time_millis_testing: 9.577, usercpu_time_millis_training: 106.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7763, kappa: 0.0901, kb_relative_information_score: -4159.2968, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 787.9046, usercpu_time_millis: 123.952, usercpu_time_millis_testing: 2.055, usercpu_time_millis_training: 121.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2407.748, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7828, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1842.6679, usercpu_time_millis: 87.84, usercpu_time_millis_testing: 2.537, usercpu_time_millis_training: 85.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2448.2367, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7637, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1850.8706, usercpu_time_millis: 57.397, usercpu_time_millis_testing: 1.923, usercpu_time_millis_training: 55.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7551, kb_relative_information_score: -1984.8844, mean_absolute_error: 0.2701, 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: 0.9641, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1830.6487, usercpu_time_millis: 76.8, usercpu_time_millis_testing: 6.204, usercpu_time_millis_training: 70.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.7551, kb_relative_information_score: -2719.4352, 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: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1857.1082, usercpu_time_millis: 27.516, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 25.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.7551, kb_relative_information_score: -3986.197, 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: 0.9721, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9849, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.315, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 22.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -6.0746, 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: 1851.3287, usercpu_time_millis: 12.814, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 11.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -37.0143, 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: 1839.7911, usercpu_time_millis: 30.858, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 29.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.7774, kappa: 0.0964, kb_relative_information_score: -4426.6819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7861, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1724.2681, usercpu_time_millis: 184.784, usercpu_time_millis_testing: 3.857, usercpu_time_millis_training: 180.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -1812.1795, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8292, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1733.299, usercpu_time_millis: 146.818, usercpu_time_millis_testing: 10.163, usercpu_time_millis_training: 136.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2500.0485, mean_absolute_error: 0.2628, 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: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1852.0126, usercpu_time_millis: 116.885, usercpu_time_millis_testing: 2.062, usercpu_time_millis_training: 114.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.774, kappa: 0.08, kb_relative_information_score: -4236.5618, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1833.1413, usercpu_time_millis: 107.065, usercpu_time_millis_testing: 3.396, usercpu_time_millis_training: 103.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -3034.3777, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8106, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1839.2058, usercpu_time_millis: 95.467, usercpu_time_millis_testing: 5.393, usercpu_time_millis_training: 90.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7778, kappa: 0.0987, kb_relative_information_score: -4198.3826, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1838.622, usercpu_time_millis: 89.071, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 87.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.771, kappa: 0.0665, kb_relative_information_score: -4053.9857, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1836.3282, usercpu_time_millis: 89.281, usercpu_time_millis_testing: 3.86, usercpu_time_millis_training: 85.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7551, kb_relative_information_score: -1965.8114, 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: 0.9694, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9765, scimark_benchmark: 1853.97, usercpu_time_millis: 70.407, usercpu_time_millis_testing: 8.599, usercpu_time_millis_training: 61.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2519.7652, mean_absolute_error: 0.2669, 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: 0.9526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1853.9121, usercpu_time_millis: 60.305, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 56.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.7551, kb_relative_information_score: -3173.1512, 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: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 785.5044, usercpu_time_millis: 49.469, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 46.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.7994, 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: 1842.9066, usercpu_time_millis: 32.103, usercpu_time_millis_testing: 5.8, usercpu_time_millis_training: 26.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.9552, 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: 1736.0929, usercpu_time_millis: 10.148, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 8.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7697, kappa: 0.0612, kb_relative_information_score: -2367.6895, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1811.7367, usercpu_time_millis: 561.887, usercpu_time_millis_testing: 6.627, usercpu_time_millis_training: 555.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7583, kappa: 0.0134, kb_relative_information_score: -2491.3453, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7684, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1850.2875, usercpu_time_millis: 466.889, usercpu_time_millis_testing: 11.591, usercpu_time_millis_training: 455.298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2579.9978, mean_absolute_error: 0.2656, 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: 0.948, 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: 216.54, usercpu_time_millis_testing: 9.83, usercpu_time_millis_training: 206.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7616, kappa: 0.0269, kb_relative_information_score: -2626.3981, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1853.9059, usercpu_time_millis: 165.795, usercpu_time_millis_testing: 5.208, usercpu_time_millis_training: 160.587,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7682, kappa: 0.0546, kb_relative_information_score: -3208.1826, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7952, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1845.2509, usercpu_time_millis: 154.69, usercpu_time_millis_testing: 5.33, usercpu_time_millis_training: 149.36,
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: 0.6844, 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: 0.6795, f_measure: 0.7551, kb_relative_information_score: -2675.9495, 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: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1858.6775, usercpu_time_millis: 65.862, usercpu_time_millis_testing: 4.713, usercpu_time_millis_training: 61.149,
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: 0.5, f_measure: 0.7551, kb_relative_information_score: -4.1134, 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: 1854.9533, usercpu_time_millis: 28.148, usercpu_time_millis_testing: 4.867, usercpu_time_millis_training: 23.281,
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: 0.694, 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: 0.6947, f_measure: 0.7691, kappa: 0.0586, kb_relative_information_score: -2466.6744, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1834.8148, usercpu_time_millis: 446.086, usercpu_time_millis_testing: 9.326, usercpu_time_millis_training: 436.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7607, kappa: 0.0228, kb_relative_information_score: -2061.1674, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1852.1045, usercpu_time_millis: 445.558, usercpu_time_millis_testing: 16.334, usercpu_time_millis_training: 429.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: -2462.4218, mean_absolute_error: 0.2646, 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: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1744.8218, usercpu_time_millis: 443.125, usercpu_time_millis_testing: 13.809, usercpu_time_millis_training: 429.316,
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: 0.6887, 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: 0.6912, 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: 0.6887, 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: 0.6636, 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: 0.658, 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: 0.6762, 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: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.5685, 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: 1798.388, usercpu_time_millis: 36.247, usercpu_time_millis_testing: 6.103, usercpu_time_millis_training: 30.144,
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: 0.6879, 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: 0.6421, f_measure: 0.7755, kappa: 0.0928, kb_relative_information_score: -5928.8658, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7692, predictive_accuracy: 0.8254, prior_entropy: 0.6541, recall: 0.8254, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3765, root_relative_squared_error: 1.0061, scimark_benchmark: 1788.8099, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 5.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.7551, kb_relative_information_score: -2557.8349, 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: 0.3703, root_relative_squared_error: 0.9895, scimark_benchmark: 1837.9312, usercpu_time_millis: 2.059, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2491.0387, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7767, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1781.5482, usercpu_time_millis: 429.842, usercpu_time_millis_testing: 7.704, usercpu_time_millis_training: 422.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7616, kappa: 0.027, kb_relative_information_score: -2700.8999, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1846.4335, usercpu_time_millis: 426.224, usercpu_time_millis_testing: 14.58, usercpu_time_millis_training: 411.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2597.4622, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7808, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1846.8916, usercpu_time_millis: 436.815, usercpu_time_millis_testing: 8.693, usercpu_time_millis_training: 428.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7603, kappa: 0.0214, kb_relative_information_score: -2343.7943, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1834.7166, usercpu_time_millis: 438.3, usercpu_time_millis_testing: 13.596, usercpu_time_millis_training: 424.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.7551, kb_relative_information_score: -3100.098, mean_absolute_error: 0.2698, 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: 0.9632, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.978, scimark_benchmark: 1833.7233, usercpu_time_millis: 151.137, usercpu_time_millis_testing: 6.466, usercpu_time_millis_training: 144.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7551, kb_relative_information_score: -2014.7929, mean_absolute_error: 0.2702, 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: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1851.9456, usercpu_time_millis: 106.806, usercpu_time_millis_testing: 12.728, usercpu_time_millis_training: 94.078,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs