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: 0.6914, f_measure: 0.7805, kappa: 0.108, kb_relative_information_score: -3132.7458, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8357, prior_entropy: 0.6541, recall: 0.8357, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1294.9853, usercpu_time_millis: 2403.212, usercpu_time_millis_testing: 25.502, usercpu_time_millis_training: 2377.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7607, kappa: 0.023, kb_relative_information_score: -1763.9125, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1275.8733, usercpu_time_millis: 128.902, usercpu_time_millis_testing: 4.666, usercpu_time_millis_training: 124.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.7682, kappa: 0.0546, kb_relative_information_score: -1835.3245, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9581, scimark_benchmark: 1288.4348, usercpu_time_millis: 5038.941, usercpu_time_millis_testing: 97.66, usercpu_time_millis_training: 4941.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7668, kappa: 0.0487, kb_relative_information_score: -1809.3499, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1286.4448, usercpu_time_millis: 4705.311, usercpu_time_millis_testing: 66.523, usercpu_time_millis_training: 4638.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -746.9837, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7888, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1236.6342, usercpu_time_millis: 9820.726, usercpu_time_millis_testing: 46.446, usercpu_time_millis_training: 9774.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7654, kappa: 0.0426, kb_relative_information_score: -1828.471, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.961, scimark_benchmark: 1292.776, usercpu_time_millis: 2025.812, usercpu_time_millis_testing: 71.186, usercpu_time_millis_training: 1954.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7551, kb_relative_information_score: -1970.9816, mean_absolute_error: 0.2668, 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: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1275.9595, usercpu_time_millis: 241.437, usercpu_time_millis_testing: 15.102, usercpu_time_millis_training: 226.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7658, kappa: 0.0443, kb_relative_information_score: -1774.6589, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.961, scimark_benchmark: 1273.7665, usercpu_time_millis: 1403.701, usercpu_time_millis_testing: 32.466, usercpu_time_millis_training: 1371.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7655, kappa: 0.0429, kb_relative_information_score: -2038.6133, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8055, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1288.3282, usercpu_time_millis: 1277.574, usercpu_time_millis_testing: 45.043, usercpu_time_millis_training: 1232.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7551, kb_relative_information_score: -1706.9681, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1262.4065, usercpu_time_millis: 201.071, usercpu_time_millis_testing: 11.045, usercpu_time_millis_training: 190.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7617, kappa: 0.0271, kb_relative_information_score: -1503.4174, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8294, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1273.8165, usercpu_time_millis: 927.385, usercpu_time_millis_testing: 58.21, usercpu_time_millis_training: 869.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: 149.8091, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9953, scimark_benchmark: 1302.8493, usercpu_time_millis: 1925.168, usercpu_time_millis_testing: 10.952, usercpu_time_millis_training: 1914.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7652, kappa: 0.0418, kb_relative_information_score: -1799.5823, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1271.7144, usercpu_time_millis: 2377.568, usercpu_time_millis_testing: 92.847, usercpu_time_millis_training: 2284.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7551, kb_relative_information_score: -1670.0608, mean_absolute_error: 0.2666, 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: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1287.7382, usercpu_time_millis: 402.068, usercpu_time_millis_testing: 24.206, usercpu_time_millis_training: 377.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7609, kappa: 0.0238, kb_relative_information_score: -2274.9373, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1272.3493, usercpu_time_millis: 636.717, usercpu_time_millis_testing: 31.364, usercpu_time_millis_training: 605.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7663, kappa: 0.0464, kb_relative_information_score: -1826.6219, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1293.5649, usercpu_time_millis: 4896.269, usercpu_time_millis_testing: 98.964, usercpu_time_millis_training: 4797.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7618, kappa: 0.0276, kb_relative_information_score: -1896.4541, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9634, scimark_benchmark: 1291.9512, usercpu_time_millis: 913.433, usercpu_time_millis_testing: 44.488, usercpu_time_millis_training: 868.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7691, kappa: 0.0583, kb_relative_information_score: -2309.7562, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8043, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9587, scimark_benchmark: 1272.3768, usercpu_time_millis: 4319.119, usercpu_time_millis_testing: 112.2, usercpu_time_millis_training: 4206.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: 127.1945, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8155, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1302.2053, usercpu_time_millis: 2593.995, usercpu_time_millis_testing: 10.74, usercpu_time_millis_training: 2583.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7706, kappa: 0.0644, kb_relative_information_score: -1825.3685, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8074, predictive_accuracy: 0.8353, prior_entropy: 0.6541, recall: 0.8353, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9565, scimark_benchmark: 1273.5773, usercpu_time_millis: 5534.455, usercpu_time_millis_testing: 105.328, usercpu_time_millis_training: 5429.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7841, kappa: 0.1341, kb_relative_information_score: -3972.9893, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7782, predictive_accuracy: 0.8262, prior_entropy: 0.6541, recall: 0.8262, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 1295.8259, usercpu_time_millis: 1394.848, usercpu_time_millis_testing: 14.911, usercpu_time_millis_training: 1379.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: 144.2335, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8155, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1286.7991, usercpu_time_millis: 2004.031, usercpu_time_millis_testing: 10.869, usercpu_time_millis_training: 1993.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7551, kb_relative_information_score: -2108.8115, mean_absolute_error: 0.266, 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: 0.9497, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1278.946, usercpu_time_millis: 164.083, usercpu_time_millis_testing: 9.409, usercpu_time_millis_training: 154.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7669, kappa: 0.049, kb_relative_information_score: -1754.0903, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9605, scimark_benchmark: 1286.8238, usercpu_time_millis: 3818.835, usercpu_time_millis_testing: 81.448, usercpu_time_millis_training: 3737.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.766, kappa: 0.0454, kb_relative_information_score: -1790.472, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1292.1683, usercpu_time_millis: 3831.227, usercpu_time_millis_testing: 92.495, usercpu_time_millis_training: 3738.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7655, kappa: 0.0429, kb_relative_information_score: -1891.8067, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1276.8786, usercpu_time_millis: 1934.448, usercpu_time_millis_testing: 64.449, usercpu_time_millis_training: 1869.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7681, kappa: 0.0542, kb_relative_information_score: -1741.0051, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9585, scimark_benchmark: 1287.1449, usercpu_time_millis: 1823.795, usercpu_time_millis_testing: 29.856, usercpu_time_millis_training: 1793.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: 119.3477, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8147, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1287.5903, usercpu_time_millis: 15974.14, usercpu_time_millis_testing: 10.719, usercpu_time_millis_training: 15963.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -717.7026, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7834, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1293.2364, usercpu_time_millis: 15446.112, usercpu_time_millis_testing: 49.32, usercpu_time_millis_training: 15396.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7833, kappa: 0.123, kb_relative_information_score: -3023.7349, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1292.9709, usercpu_time_millis: 407.877, usercpu_time_millis_testing: 5.643, usercpu_time_millis_training: 402.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.77, kappa: 0.0623, kb_relative_information_score: -2743.5038, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9597, scimark_benchmark: 1275.1287, usercpu_time_millis: 1072.936, usercpu_time_millis_testing: 24.086, usercpu_time_millis_training: 1048.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7706, kappa: 0.0644, kb_relative_information_score: -1734.2587, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8102, predictive_accuracy: 0.8355, prior_entropy: 0.6541, recall: 0.8355, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.956, scimark_benchmark: 1271.2781, usercpu_time_millis: 664.212, usercpu_time_millis_testing: 13.37, usercpu_time_millis_training: 650.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7708, kappa: 0.0654, kb_relative_information_score: -3088.8348, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8057, predictive_accuracy: 0.8352, prior_entropy: 0.6541, recall: 0.8352, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9589, scimark_benchmark: 1295.4581, usercpu_time_millis: 1895.074, usercpu_time_millis_testing: 64.672, usercpu_time_millis_training: 1830.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7661, kappa: 0.0453, kb_relative_information_score: -1719.0759, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8091, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 1279.5611, usercpu_time_millis: 2522.452, usercpu_time_millis_testing: 78.395, usercpu_time_millis_training: 2444.057,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7657, kappa: 0.044, kb_relative_information_score: -1866.8645, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1279.412, usercpu_time_millis: 2230.141, usercpu_time_millis_testing: 58.436, usercpu_time_millis_training: 2171.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7662, kappa: 0.046, kb_relative_information_score: -2101.3822, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1292.7418, usercpu_time_millis: 114.581, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 112.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 22.2986, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1295.5577, usercpu_time_millis: 3863.143, usercpu_time_millis_testing: 12.512, usercpu_time_millis_training: 3850.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7654, kappa: 0.0426, kb_relative_information_score: -2011.7721, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8075, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1284.9826, usercpu_time_millis: 610.821, usercpu_time_millis_testing: 28.623, usercpu_time_millis_training: 582.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7658, kappa: 0.0445, kb_relative_information_score: -2249.1026, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1293.5238, usercpu_time_millis: 3434.523, usercpu_time_millis_testing: 97.413, usercpu_time_millis_training: 3337.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 120.2733, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1294.1764, usercpu_time_millis: 4967.958, usercpu_time_millis_testing: 10.646, usercpu_time_millis_training: 4957.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7684, kappa: 0.0555, kb_relative_information_score: -1759.9883, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9581, scimark_benchmark: 1239.4012, usercpu_time_millis: 4087.47, usercpu_time_millis_testing: 63.037, usercpu_time_millis_training: 4024.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7659, kappa: 0.0447, kb_relative_information_score: -1889.2956, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1295.9469, usercpu_time_millis: 450.997, usercpu_time_millis_testing: 12.135, usercpu_time_millis_training: 438.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.7589, kappa: 0.0157, kb_relative_information_score: -104.3846, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9946, scimark_benchmark: 1285.0183, usercpu_time_millis: 4419.06, usercpu_time_millis_testing: 25.618, usercpu_time_millis_training: 4393.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7645, kappa: 0.0388, kb_relative_information_score: -1976.2216, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1283.4267, usercpu_time_millis: 438.059, usercpu_time_millis_testing: 17.115, usercpu_time_millis_training: 420.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.767, kappa: 0.0495, kb_relative_information_score: -2209.5816, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8031, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601, scimark_benchmark: 1279.4351, usercpu_time_millis: 1676.525, usercpu_time_millis_testing: 47.641, usercpu_time_millis_training: 1628.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7643, kappa: 0.0379, kb_relative_information_score: -1848.608, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8068, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1294.9608, usercpu_time_millis: 1917.022, usercpu_time_millis_testing: 78.01, usercpu_time_millis_training: 1839.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -900.7681, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.793, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.995, scimark_benchmark: 1279.8616, usercpu_time_millis: 4650.612, usercpu_time_millis_testing: 25.924, usercpu_time_millis_training: 4624.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: 136.2959, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8155, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9959, scimark_benchmark: 1286.6759, usercpu_time_millis: 2078.473, usercpu_time_millis_testing: 10.609, usercpu_time_millis_training: 2067.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7793, kappa: 0.1023, kb_relative_information_score: -2131.0797, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.9576, scimark_benchmark: 1238.8326, usercpu_time_millis: 932.895, usercpu_time_millis_testing: 29.502, usercpu_time_millis_training: 903.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7644, kappa: 0.0387, kb_relative_information_score: -1839.2687, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1253.1101, usercpu_time_millis: 69.651, usercpu_time_millis_testing: 2.446, usercpu_time_millis_training: 67.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7633, kappa: 0.0339, kb_relative_information_score: -1948.3622, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8046, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1268.9542, usercpu_time_millis: 788.245, usercpu_time_millis_testing: 34.029, usercpu_time_millis_training: 754.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7592, kappa: 0.0167, kb_relative_information_score: -1630.6273, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8274, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1290.3902, usercpu_time_millis: 1206.186, usercpu_time_millis_testing: 81.996, usercpu_time_millis_training: 1124.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7672, kappa: 0.0502, kb_relative_information_score: -1985.809, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 1293.1364, usercpu_time_millis: 3699.211, usercpu_time_millis_testing: 89.67, usercpu_time_millis_training: 3609.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7658, kappa: 0.0442, kb_relative_information_score: -1820.99, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8085, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1274.8695, usercpu_time_millis: 2735.006, usercpu_time_millis_testing: 104.575, usercpu_time_millis_training: 2630.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.767, kappa: 0.0492, kb_relative_information_score: -1626.2828, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8128, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9569, scimark_benchmark: 1239.0728, usercpu_time_millis: 778.682, usercpu_time_millis_testing: 21.766, usercpu_time_millis_training: 756.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7667, kappa: 0.0482, kb_relative_information_score: -2445.8194, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9596, scimark_benchmark: 1297.9882, usercpu_time_millis: 501.464, usercpu_time_millis_testing: 25.734, usercpu_time_millis_training: 475.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.7715, kappa: 0.0681, kb_relative_information_score: -1718.434, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8106, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.9551, scimark_benchmark: 1278.7105, usercpu_time_millis: 2768.578, usercpu_time_millis_testing: 55.381, usercpu_time_millis_training: 2713.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.7567, kappa: 0.0063, kb_relative_information_score: 150.898, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9972, scimark_benchmark: 1306.9415, usercpu_time_millis: 7106.348, usercpu_time_millis_testing: 24.576, usercpu_time_millis_training: 7081.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7752, kappa: 0.0844, kb_relative_information_score: -2807.3446, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8078, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9581, scimark_benchmark: 1296.2902, usercpu_time_millis: 1020.141, usercpu_time_millis_testing: 23.45, usercpu_time_millis_training: 996.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.7579, kappa: 0.0112, kb_relative_information_score: 133.013, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1284.2631, usercpu_time_millis: 2382.776, usercpu_time_millis_testing: 11.124, usercpu_time_millis_training: 2371.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7752, kappa: 0.084, kb_relative_information_score: -2249.7227, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8074, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9578, scimark_benchmark: 1254.2644, usercpu_time_millis: 1156.31, usercpu_time_millis_testing: 14.881, usercpu_time_millis_training: 1141.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7621, kappa: 0.0287, kb_relative_information_score: -1602.8614, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8326, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1295.6583, usercpu_time_millis: 352.055, usercpu_time_millis_testing: 22.499, usercpu_time_millis_training: 329.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7782, kappa: 0.0985, kb_relative_information_score: -4049.9006, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1294.1836, usercpu_time_millis: 346.918, usercpu_time_millis_testing: 8.598, usercpu_time_millis_training: 338.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.5792, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1284.7174, usercpu_time_millis: 3850.562, usercpu_time_millis_testing: 13.327, usercpu_time_millis_training: 3837.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7675, kappa: 0.0514, kb_relative_information_score: -1766.3082, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1294.7935, usercpu_time_millis: 7191.699, usercpu_time_millis_testing: 122.041, usercpu_time_millis_training: 7069.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.7724, kappa: 0.0721, kb_relative_information_score: -2199.7073, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9575, scimark_benchmark: 1289.2334, usercpu_time_millis: 4075.98, usercpu_time_millis_testing: 47.621, usercpu_time_millis_training: 4028.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.3733, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, 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: 0.9999, scimark_benchmark: 1305.2793, usercpu_time_millis: 5976.797, usercpu_time_millis_testing: 12.432, usercpu_time_millis_training: 5964.365,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

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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