Task
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: 0.6742, f_measure: 0.7574, kappa: 0.0092, kb_relative_information_score: -3070.5232, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1835.1655, usercpu_time_millis: 154.356, usercpu_time_millis_testing: 8.72, usercpu_time_millis_training: 145.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7551, kb_relative_information_score: -2424.3204, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1976.0874, usercpu_time_millis: 37.461, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 33.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -2.0797, 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: 1732.0947, usercpu_time_millis: 14.86, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 12.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -29.0462, 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: 1759.9302, usercpu_time_millis: 61.697, usercpu_time_millis_testing: 6.662, usercpu_time_millis_training: 55.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7551, kb_relative_information_score: -3218.4742, 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: 0.9621, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777, scimark_benchmark: 1759.6216, usercpu_time_millis: 195.2, usercpu_time_millis_testing: 9.422, usercpu_time_millis_training: 185.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7551, kb_relative_information_score: -1981.7678, 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: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1790.7546, usercpu_time_millis: 112.009, usercpu_time_millis_testing: 7.985, usercpu_time_millis_training: 104.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7592, kappa: 0.0169, kb_relative_information_score: -2642.616, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7742, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1763.2628, usercpu_time_millis: 1751.544, usercpu_time_millis_testing: 24.762, usercpu_time_millis_training: 1726.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2507.782, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.784, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1797.4823, usercpu_time_millis: 420.845, usercpu_time_millis_testing: 8.011, usercpu_time_millis_training: 412.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -2801.4108, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1800.3056, usercpu_time_millis: 225.794, usercpu_time_millis_testing: 8.918, usercpu_time_millis_training: 216.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7551, kb_relative_information_score: -1931.3692, mean_absolute_error: 0.272, 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: 0.9709, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1851.4596, usercpu_time_millis: 136.078, usercpu_time_millis_testing: 11.542, usercpu_time_millis_training: 124.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -2244.1038, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9597, scimark_benchmark: 1772.9716, usercpu_time_millis: 116.5, usercpu_time_millis_testing: 2.429, usercpu_time_millis_training: 114.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7767, kappa: 0.0927, kb_relative_information_score: -3661.7745, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1829.3464, usercpu_time_millis: 97.361, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 95.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7771, kappa: 0.0953, kb_relative_information_score: -3712.6445, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7839, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1728.8693, usercpu_time_millis: 103.571, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 100.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7679, kappa: 0.0532, kb_relative_information_score: -2877.6808, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1770.1048, usercpu_time_millis: 489.534, usercpu_time_millis_testing: 10.494, usercpu_time_millis_training: 479.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7635, kappa: 0.0346, kb_relative_information_score: -2217.0189, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1734.5954, usercpu_time_millis: 484.739, usercpu_time_millis_testing: 12.411, usercpu_time_millis_training: 472.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7563, kappa: 0.005, kb_relative_information_score: -2464.7918, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7859, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, 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: 1712.1614, usercpu_time_millis: 120.688, usercpu_time_millis_testing: 4.915, usercpu_time_millis_training: 115.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -1756.7015, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8138, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1762.3137, usercpu_time_millis: 36.094, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 34.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7587, kappa: 0.0149, kb_relative_information_score: -2296.4458, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8147, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1680.6624, usercpu_time_millis: 829.871, usercpu_time_millis_testing: 54.546, usercpu_time_millis_training: 775.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7725, kappa: 0.0734, kb_relative_information_score: -3461.3628, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1836.2249, usercpu_time_millis: 437.683, usercpu_time_millis_testing: 6.449, usercpu_time_millis_training: 431.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -2408.3297, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1836.6789, usercpu_time_millis: 391.481, usercpu_time_millis_testing: 18.038, usercpu_time_millis_training: 373.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2498.2284, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7876, 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: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1842.7105, usercpu_time_millis: 170.694, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 167.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7551, kb_relative_information_score: -3818.3355, mean_absolute_error: 0.2718, 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: 0.9703, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1850.3454, usercpu_time_millis: 144.55, usercpu_time_millis_testing: 8.046, usercpu_time_millis_training: 136.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.7551, kb_relative_information_score: -2769.8077, 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: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9813, scimark_benchmark: 1844.2676, usercpu_time_millis: 114.325, usercpu_time_millis_testing: 7.665, usercpu_time_millis_training: 106.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.1941, 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: 1810.7365, usercpu_time_millis: 24.539, usercpu_time_millis_testing: 4.278, usercpu_time_millis_training: 20.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.7551, kb_relative_information_score: -1140.996, mean_absolute_error: 0.2771, 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: 0.9894, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9909, scimark_benchmark: 1866.0333, usercpu_time_millis: 14.522, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 12.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -0.0522, 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: 1805.8399, usercpu_time_millis: 8.71, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 7.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7551, kb_relative_information_score: -2676.8297, mean_absolute_error: 0.2719, 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: 0.9705, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9792, scimark_benchmark: 1694.5699, usercpu_time_millis: 168.005, usercpu_time_millis_testing: 8.761, usercpu_time_millis_training: 159.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7613, kappa: 0.0257, kb_relative_information_score: -2710.4008, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1890.7506, usercpu_time_millis: 9.537, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 9.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7586, kappa: 0.0146, kb_relative_information_score: -2536.1487, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7844, 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: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1799.0785, usercpu_time_millis: 786.368, usercpu_time_millis_testing: 17.737, usercpu_time_millis_training: 768.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7673, kappa: 0.0509, kb_relative_information_score: -2255.4763, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1849.9303, usercpu_time_millis: 631.172, usercpu_time_millis_testing: 10.853, usercpu_time_millis_training: 620.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.761, kappa: 0.0244, kb_relative_information_score: -2436.2515, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1846.8212, usercpu_time_millis: 391.429, usercpu_time_millis_testing: 17.506, usercpu_time_millis_training: 373.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7601, kappa: 0.0206, kb_relative_information_score: -2167.8762, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8131, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1943.4776, usercpu_time_millis: 289.244, usercpu_time_millis_testing: 12.936, usercpu_time_millis_training: 276.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7551, kb_relative_information_score: -2364.696, 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: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1844.8764, usercpu_time_millis: 278.477, usercpu_time_millis_testing: 14.921, usercpu_time_millis_training: 263.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7551, kb_relative_information_score: -1983.5067, 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: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1933.9958, usercpu_time_millis: 191.703, usercpu_time_millis_testing: 14.596, usercpu_time_millis_training: 177.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kb_relative_information_score: -2602.0751, 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: 0.9569, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1753.0459, usercpu_time_millis: 118.8, usercpu_time_millis_testing: 6.245, usercpu_time_millis_training: 112.555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.759, kappa: 0.0159, kb_relative_information_score: -2425.2669, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 747.1186, usercpu_time_millis: 557.378, usercpu_time_millis_testing: 22.467, usercpu_time_millis_training: 534.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2469.2048, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1732.7672, usercpu_time_millis: 394.111, usercpu_time_millis_testing: 11.516, usercpu_time_millis_training: 382.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7602, kappa: 0.0211, kb_relative_information_score: -2496.9622, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1739.6395, usercpu_time_millis: 362.583, usercpu_time_millis_testing: 11.178, usercpu_time_millis_training: 351.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7583, kappa: 0.0134, kb_relative_information_score: -2508.3019, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7738, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1741.889, usercpu_time_millis: 384.448, usercpu_time_millis_testing: 10.504, usercpu_time_millis_training: 373.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7611, kappa: 0.0248, kb_relative_information_score: -2221.193, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8124, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1726.7615, usercpu_time_millis: 353.413, usercpu_time_millis_testing: 16.202, usercpu_time_millis_training: 337.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7554, kappa: 0.0012, kb_relative_information_score: -1791.3569, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, 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: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1735.2934, usercpu_time_millis: 193.791, usercpu_time_millis_testing: 12.177, usercpu_time_millis_training: 181.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7703, kappa: 0.0635, kb_relative_information_score: -2324.4032, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 2130.6569, usercpu_time_millis: 242.261, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 239.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7733, kappa: 0.0767, kb_relative_information_score: -3452.1238, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1734.2259, usercpu_time_millis: 131.73, usercpu_time_millis_testing: 2.476, usercpu_time_millis_training: 129.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2394.4189, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1734.6706, usercpu_time_millis: 143.636, usercpu_time_millis_testing: 3.782, usercpu_time_millis_training: 139.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7551, kb_relative_information_score: -2358.6686, mean_absolute_error: 0.2673, 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: 0.9544, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1780.1738, usercpu_time_millis: 150.521, usercpu_time_millis_testing: 8.578, usercpu_time_millis_training: 141.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7551, kb_relative_information_score: -1954.6193, mean_absolute_error: 0.2693, 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: 0.9613, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1722.2536, usercpu_time_millis: 103.044, usercpu_time_millis_testing: 6.25, usercpu_time_millis_training: 96.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.715, 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: 1722.3202, usercpu_time_millis: 83.728, usercpu_time_millis_testing: 8.653, usercpu_time_millis_training: 75.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.7805, kappa: 0.1204, kb_relative_information_score: -4536.9965, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7712, predictive_accuracy: 0.8225, prior_entropy: 0.6541, recall: 0.8225, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1720.873, usercpu_time_millis: 104.703, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 102.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7615, kappa: 0.0266, kb_relative_information_score: -2590.8765, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1733.7613, usercpu_time_millis: 84.383, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 82.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7551, kb_relative_information_score: -1956.3747, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1710.2169, usercpu_time_millis: 27.161, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 26.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7551, kb_relative_information_score: -2002.6961, mean_absolute_error: 0.2694, 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: 0.9617, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1992.1796, usercpu_time_millis: 21.425, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 20.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: -2361.7554, mean_absolute_error: 0.2664, 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: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1732.8983, usercpu_time_millis: 27.123, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 25.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.7551, kb_relative_information_score: -1134.8143, mean_absolute_error: 0.2772, 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: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9911, scimark_benchmark: 1741.5466, usercpu_time_millis: 16.835, usercpu_time_millis_testing: 1.69, usercpu_time_millis_training: 15.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7612, kappa: 0.0251, kb_relative_information_score: -2392.7996, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 2063.7857, usercpu_time_millis: 12.195, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 11.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2432.5459, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1724.8828, usercpu_time_millis: 464.528, usercpu_time_millis_testing: 11.894, usercpu_time_millis_training: 452.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.7551, kb_relative_information_score: -2577.1636, mean_absolute_error: 0.2658, 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: 0.9488, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1730.1903, usercpu_time_millis: 227.804, usercpu_time_millis_testing: 7.419, usercpu_time_millis_training: 220.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2414.5435, 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: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1732.5611, usercpu_time_millis: 158.721, usercpu_time_millis_testing: 11.54, usercpu_time_millis_training: 147.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7551, kb_relative_information_score: -1932.6006, mean_absolute_error: 0.2718, 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: 0.9702, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1729.7915, usercpu_time_millis: 120.224, usercpu_time_millis_testing: 9.191, usercpu_time_millis_training: 111.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7551, kb_relative_information_score: -1874.7833, mean_absolute_error: 0.2757, 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: 0.9842, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9875, scimark_benchmark: 1733.8252, usercpu_time_millis: 86.974, usercpu_time_millis_testing: 9.07, usercpu_time_millis_training: 77.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -35.041, 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: 1729.1108, usercpu_time_millis: 15.476, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 14.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2484.6647, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1839.2774, usercpu_time_millis: 659.634, usercpu_time_millis_testing: 15.768, usercpu_time_millis_training: 643.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7704, kappa: 0.0639, kb_relative_information_score: -2245.2586, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1839.7313, usercpu_time_millis: 351.845, usercpu_time_millis_testing: 4.129, usercpu_time_millis_training: 347.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.8023, 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: 1839.2203, usercpu_time_millis: 85.707, usercpu_time_millis_testing: 8.006, usercpu_time_millis_training: 77.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.2905, 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: 1839.1443, usercpu_time_millis: 67.505, usercpu_time_millis_testing: 7.448, usercpu_time_millis_training: 60.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.7551, kb_relative_information_score: -1077.7926, mean_absolute_error: 0.2774, 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: 0.9901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9915, scimark_benchmark: 1838.6999, usercpu_time_millis: 15.458, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 13.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7609, kappa: 0.0241, kb_relative_information_score: -2516.3352, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7818, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1728.0361, usercpu_time_millis: 1879.697, usercpu_time_millis_testing: 22.045, usercpu_time_millis_training: 1857.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7595, kappa: 0.0181, kb_relative_information_score: -2520.8383, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1849.2344, usercpu_time_millis: 728.789, usercpu_time_millis_testing: 12.73, usercpu_time_millis_training: 716.059,

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