OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9329, kappa: 0.8447, kb_relative_information_score: 12020.3639, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4887, scimark_benchmark: 1264.1361, usercpu_time_millis: 680.947, usercpu_time_millis_testing: 27.762, usercpu_time_millis_training: 653.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9445, kappa: 0.8721, kb_relative_information_score: 12469.7135, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4384, scimark_benchmark: 1254.4296, usercpu_time_millis: 329.263, usercpu_time_millis_testing: 24.564, usercpu_time_millis_training: 304.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9401, kappa: 0.8617, kb_relative_information_score: 10415.6759, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9416, prior_entropy: 0.9135, recall: 0.9416, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4983, scimark_benchmark: 1284.4076, usercpu_time_millis: 60.85, usercpu_time_millis_testing: 4.677, usercpu_time_millis_training: 56.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9409, kappa: 0.8636, kb_relative_information_score: 10517.6672, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9462, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4912, scimark_benchmark: 1264.4586, usercpu_time_millis: 259.418, usercpu_time_millis_testing: 18.653, usercpu_time_millis_training: 240.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9348, kappa: 0.8493, kb_relative_information_score: 12234.3422, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9414, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4712, scimark_benchmark: 1255.0931, usercpu_time_millis: 581.047, usercpu_time_millis_testing: 18.65, usercpu_time_millis_training: 562.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9333, kappa: 0.8457, kb_relative_information_score: 9951.0854, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9407, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5263, scimark_benchmark: 1276.1932, usercpu_time_millis: 292.96, usercpu_time_millis_testing: 23.338, usercpu_time_millis_training: 269.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9442, kappa: 0.8716, kb_relative_information_score: 12525.0945, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4362, scimark_benchmark: 1271.937, usercpu_time_millis: 71.857, usercpu_time_millis_testing: 3.592, usercpu_time_millis_training: 68.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.946, kappa: 0.8759, kb_relative_information_score: 12733.17, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9486, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4367, scimark_benchmark: 1280.381, usercpu_time_millis: 1336.493, usercpu_time_millis_testing: 30.757, usercpu_time_millis_training: 1305.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9509, kappa: 0.8872, kb_relative_information_score: 12903.0123, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9532, predictive_accuracy: 0.9517, prior_entropy: 0.9135, recall: 0.9517, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4128, scimark_benchmark: 1254.4596, usercpu_time_millis: 116.055, usercpu_time_millis_testing: 3.02, usercpu_time_millis_training: 113.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9425, kappa: 0.8675, kb_relative_information_score: 12285.7854, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9474, predictive_accuracy: 0.9439, prior_entropy: 0.9135, recall: 0.9439, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4516, scimark_benchmark: 1280.239, usercpu_time_millis: 532.379, usercpu_time_millis_testing: 23.832, usercpu_time_millis_training: 508.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9328, kappa: 0.8445, kb_relative_information_score: 11610.1789, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4834, scimark_benchmark: 1277.0867, usercpu_time_millis: 412.911, usercpu_time_millis_testing: 26.523, usercpu_time_millis_training: 386.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.932, kappa: 0.8428, kb_relative_information_score: 7882.9625, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6271, scimark_benchmark: 1269.169, usercpu_time_millis: 148.89, usercpu_time_millis_testing: 14.79, usercpu_time_millis_training: 134.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9502, kappa: 0.8855, kb_relative_information_score: 12853.8688, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9528, predictive_accuracy: 0.951, prior_entropy: 0.9135, recall: 0.951, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4137, scimark_benchmark: 1260.5509, usercpu_time_millis: 849.928, usercpu_time_millis_testing: 32.235, usercpu_time_millis_training: 817.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 11932.3381, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4818, scimark_benchmark: 1256.0973, usercpu_time_millis: 296.657, usercpu_time_millis_testing: 15.535, usercpu_time_millis_training: 281.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9486, kappa: 0.882, kb_relative_information_score: 12855.4467, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9508, predictive_accuracy: 0.9494, prior_entropy: 0.9135, recall: 0.9494, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4231, scimark_benchmark: 1281.6629, usercpu_time_millis: 108.242, usercpu_time_millis_testing: 3.337, usercpu_time_millis_training: 104.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 9296.6439, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5588, scimark_benchmark: 1279.0949, usercpu_time_millis: 40.32, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 36.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10976.7765, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5145, scimark_benchmark: 1280.2644, usercpu_time_millis: 144.484, usercpu_time_millis_testing: 11.687, usercpu_time_millis_training: 132.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9431, kappa: 0.8688, kb_relative_information_score: 12421.5497, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9444, prior_entropy: 0.9135, recall: 0.9444, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4428, scimark_benchmark: 1280.7363, usercpu_time_millis: 164.766, usercpu_time_millis_testing: 7.478, usercpu_time_millis_training: 157.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9327, kappa: 0.8444, kb_relative_information_score: 11530.426, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4861, scimark_benchmark: 1265.1355, usercpu_time_millis: 380.663, usercpu_time_millis_testing: 27.081, usercpu_time_millis_training: 353.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9539, kappa: 0.8943, kb_relative_information_score: 13022.2527, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9559, predictive_accuracy: 0.9546, prior_entropy: 0.9135, recall: 0.9546, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4032, scimark_benchmark: 1261.898, usercpu_time_millis: 1427.888, usercpu_time_millis_testing: 42.734, usercpu_time_millis_training: 1385.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9451, kappa: 0.8736, kb_relative_information_score: 12534.4521, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9488, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4341, scimark_benchmark: 1270.1339, usercpu_time_millis: 463.663, usercpu_time_millis_testing: 34.788, usercpu_time_millis_training: 428.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9398, kappa: 0.861, kb_relative_information_score: 10401.1868, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9413, prior_entropy: 0.9135, recall: 0.9413, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4992, scimark_benchmark: 1253.8057, usercpu_time_millis: 128.331, usercpu_time_millis_testing: 9.473, usercpu_time_millis_training: 118.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9323, kappa: 0.8433, kb_relative_information_score: 12136.2187, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4732, scimark_benchmark: 1278.3696, usercpu_time_millis: 299.168, usercpu_time_millis_testing: 19.185, usercpu_time_millis_training: 279.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 12029.1207, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4827, scimark_benchmark: 1278.1031, usercpu_time_millis: 203.188, usercpu_time_millis_testing: 10.984, usercpu_time_millis_training: 192.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9482, kappa: 0.8809, kb_relative_information_score: 12759.0058, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9513, predictive_accuracy: 0.9492, prior_entropy: 0.9135, recall: 0.9492, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4202, scimark_benchmark: 1266.9282, usercpu_time_millis: 653.204, usercpu_time_millis_testing: 34.274, usercpu_time_millis_training: 618.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9528, kappa: 0.8917, kb_relative_information_score: 12965.04, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.955, predictive_accuracy: 0.9536, prior_entropy: 0.9135, recall: 0.9536, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4057, scimark_benchmark: 1270.1392, usercpu_time_millis: 817.552, usercpu_time_millis_testing: 38.721, usercpu_time_millis_training: 778.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9466, kappa: 0.8772, kb_relative_information_score: 12634.1564, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9476, prior_entropy: 0.9135, recall: 0.9476, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4378, scimark_benchmark: 1283.8652, usercpu_time_millis: 4.494, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9436, kappa: 0.8701, kb_relative_information_score: 12446.029, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9475, predictive_accuracy: 0.9448, prior_entropy: 0.9135, recall: 0.9448, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4454, scimark_benchmark: 1258.8988, usercpu_time_millis: 74.181, usercpu_time_millis_testing: 4.455, usercpu_time_millis_training: 69.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9545, kappa: 0.8956, kb_relative_information_score: 13053.0738, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9562, predictive_accuracy: 0.9551, prior_entropy: 0.9135, recall: 0.9551, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4011, scimark_benchmark: 1281.0567, usercpu_time_millis: 1018.372, usercpu_time_millis_testing: 32.052, usercpu_time_millis_training: 986.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9425, kappa: 0.8676, kb_relative_information_score: 12420.0066, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9469, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4525, scimark_benchmark: 1265.769, usercpu_time_millis: 445.141, usercpu_time_millis_testing: 15.359, usercpu_time_millis_training: 429.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9428, kappa: 0.8682, kb_relative_information_score: 12409.8767, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9469, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.444, scimark_benchmark: 1284.9752, usercpu_time_millis: 40.349, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 37.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9327, kappa: 0.8443, kb_relative_information_score: 12100.6015, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9405, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4785, scimark_benchmark: 1260.4845, usercpu_time_millis: 135.238, usercpu_time_millis_testing: 6.612, usercpu_time_millis_training: 128.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9434, kappa: 0.8697, kb_relative_information_score: 12450.039, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9473, predictive_accuracy: 0.9446, prior_entropy: 0.9135, recall: 0.9446, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4455, scimark_benchmark: 1256.8921, usercpu_time_millis: 264.804, usercpu_time_millis_testing: 15.609, usercpu_time_millis_training: 249.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9372, kappa: 0.8549, kb_relative_information_score: 10300.526, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9434, predictive_accuracy: 0.9389, prior_entropy: 0.9135, recall: 0.9389, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5058, scimark_benchmark: 1280.372, usercpu_time_millis: 405.06, usercpu_time_millis_testing: 30.334, usercpu_time_millis_training: 374.726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.943, kappa: 0.8687, kb_relative_information_score: 12422.479, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.9442, prior_entropy: 0.9135, recall: 0.9442, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4476, scimark_benchmark: 1273.9961, usercpu_time_millis: 381.147, usercpu_time_millis_testing: 25.09, usercpu_time_millis_training: 356.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9481, kappa: 0.8806, kb_relative_information_score: 12723.5298, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9512, predictive_accuracy: 0.9491, prior_entropy: 0.9135, recall: 0.9491, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4216, scimark_benchmark: 1302.1511, usercpu_time_millis: 754.788, usercpu_time_millis_testing: 41.676, usercpu_time_millis_training: 713.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9472, kappa: 0.8785, kb_relative_information_score: 12669.2155, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9505, predictive_accuracy: 0.9482, prior_entropy: 0.9135, recall: 0.9482, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4247, scimark_benchmark: 1296.1206, usercpu_time_millis: 396.238, usercpu_time_millis_testing: 21.429, usercpu_time_millis_training: 374.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9525, kappa: 0.891, kb_relative_information_score: 12986.799, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9546, predictive_accuracy: 0.9532, prior_entropy: 0.9135, recall: 0.9532, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4064, scimark_benchmark: 1237.3059, usercpu_time_millis: 735.399, usercpu_time_millis_testing: 19.249, usercpu_time_millis_training: 716.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9463, kappa: 0.8765, kb_relative_information_score: 12668.0399, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9497, predictive_accuracy: 0.9474, prior_entropy: 0.9135, recall: 0.9474, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4285, scimark_benchmark: 1276.1074, usercpu_time_millis: 628.872, usercpu_time_millis_testing: 29.19, usercpu_time_millis_training: 599.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9467, kappa: 0.8775, kb_relative_information_score: 12673.7114, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.95, predictive_accuracy: 0.9478, prior_entropy: 0.9135, recall: 0.9478, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4243, scimark_benchmark: 1307.2637, usercpu_time_millis: 381.232, usercpu_time_millis_testing: 22.452, usercpu_time_millis_training: 358.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9513, kappa: 0.8882, kb_relative_information_score: 12880.6142, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9539, predictive_accuracy: 0.9521, prior_entropy: 0.9135, recall: 0.9521, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4117, scimark_benchmark: 1273.5146, usercpu_time_millis: 279.332, usercpu_time_millis_testing: 11.095, usercpu_time_millis_training: 268.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9457, kappa: 0.8752, kb_relative_information_score: 12618.2616, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 0.9135, recall: 0.9467, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4445, scimark_benchmark: 1274.0743, usercpu_time_millis: 6.236, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9464, kappa: 0.8767, kb_relative_information_score: 12693.6382, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9497, predictive_accuracy: 0.9474, prior_entropy: 0.9135, recall: 0.9474, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4268, scimark_benchmark: 1272.7878, usercpu_time_millis: 734.368, usercpu_time_millis_testing: 29.004, usercpu_time_millis_training: 705.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9448, kappa: 0.873, kb_relative_information_score: 12549.0763, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9486, predictive_accuracy: 0.946, prior_entropy: 0.9135, recall: 0.946, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4378, scimark_benchmark: 1266.4844, usercpu_time_millis: 116.546, usercpu_time_millis_testing: 6.685, usercpu_time_millis_training: 109.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9459, kappa: 0.8754, kb_relative_information_score: 12657.6991, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9493, predictive_accuracy: 0.9469, prior_entropy: 0.9135, recall: 0.9469, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4294, scimark_benchmark: 1298.6144, usercpu_time_millis: 498.54, usercpu_time_millis_testing: 24.315, usercpu_time_millis_training: 474.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9498, kappa: 0.8847, kb_relative_information_score: 12830.6398, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9526, predictive_accuracy: 0.9507, prior_entropy: 0.9135, recall: 0.9507, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4164, scimark_benchmark: 1269.6289, usercpu_time_millis: 539.01, usercpu_time_millis_testing: 23.079, usercpu_time_millis_training: 515.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9541, kappa: 0.8947, kb_relative_information_score: 13069.0348, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9558, predictive_accuracy: 0.9547, prior_entropy: 0.9135, recall: 0.9547, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4029, scimark_benchmark: 1269.3064, usercpu_time_millis: 743.051, usercpu_time_millis_testing: 25.63, usercpu_time_millis_training: 717.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9534, kappa: 0.8932, kb_relative_information_score: 12996.2039, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9555, predictive_accuracy: 0.9541, prior_entropy: 0.9135, recall: 0.9541, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4049, scimark_benchmark: 1269.9106, usercpu_time_millis: 122.188, usercpu_time_millis_testing: 5.31, usercpu_time_millis_training: 116.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9418, kappa: 0.866, kb_relative_information_score: 12282.9011, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9461, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4514, scimark_benchmark: 1273.8175, usercpu_time_millis: 129.277, usercpu_time_millis_testing: 11.014, usercpu_time_millis_training: 118.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9487, kappa: 0.8822, kb_relative_information_score: 12779.0155, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9518, predictive_accuracy: 0.9497, prior_entropy: 0.9135, recall: 0.9497, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.42, scimark_benchmark: 1299.9633, usercpu_time_millis: 434.436, usercpu_time_millis_testing: 17.472, usercpu_time_millis_training: 416.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9479, kappa: 0.8801, kb_relative_information_score: 12737.9528, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.951, predictive_accuracy: 0.9489, prior_entropy: 0.9135, recall: 0.9489, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4231, scimark_benchmark: 1296.6522, usercpu_time_millis: 470.257, usercpu_time_millis_testing: 20.882, usercpu_time_millis_training: 449.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9507, kappa: 0.8868, kb_relative_information_score: 12852.8333, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9533, predictive_accuracy: 0.9516, prior_entropy: 0.9135, recall: 0.9516, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4136, scimark_benchmark: 1302.8756, usercpu_time_millis: 879.282, usercpu_time_millis_testing: 34.921, usercpu_time_millis_training: 844.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9401, kappa: 0.8617, kb_relative_information_score: 10458.4991, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9456, predictive_accuracy: 0.9416, prior_entropy: 0.9135, recall: 0.9416, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4946, scimark_benchmark: 1277.1816, usercpu_time_millis: 366.973, usercpu_time_millis_testing: 27.181, usercpu_time_millis_training: 339.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.946, kappa: 0.8758, kb_relative_information_score: 12667.7222, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9496, predictive_accuracy: 0.9471, prior_entropy: 0.9135, recall: 0.9471, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4288, scimark_benchmark: 1292.6069, usercpu_time_millis: 540.942, usercpu_time_millis_testing: 28.87, usercpu_time_millis_training: 512.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9492, kappa: 0.8833, kb_relative_information_score: 12818.1716, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9521, predictive_accuracy: 0.9501, prior_entropy: 0.9135, recall: 0.9501, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4183, scimark_benchmark: 1297.7963, usercpu_time_millis: 753.585, usercpu_time_millis_testing: 30.414, usercpu_time_millis_training: 723.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.953, kappa: 0.8921, kb_relative_information_score: 13033.3296, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.955, predictive_accuracy: 0.9537, prior_entropy: 0.9135, recall: 0.9537, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4039, scimark_benchmark: 1302.1301, usercpu_time_millis: 838.175, usercpu_time_millis_testing: 29.646, usercpu_time_millis_training: 808.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9522, kappa: 0.8903, kb_relative_information_score: 12970.4077, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9545, predictive_accuracy: 0.953, prior_entropy: 0.9135, recall: 0.953, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4071, scimark_benchmark: 1271.6664, usercpu_time_millis: 1228.546, usercpu_time_millis_testing: 45.619, usercpu_time_millis_training: 1182.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.953, kappa: 0.8921, kb_relative_information_score: 12988.5442, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9551, predictive_accuracy: 0.9537, prior_entropy: 0.9135, recall: 0.9537, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4062, scimark_benchmark: 1304.1647, usercpu_time_millis: 1422.263, usercpu_time_millis_testing: 34.837, usercpu_time_millis_training: 1387.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.952, kappa: 0.8899, kb_relative_information_score: 12958.0645, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9543, predictive_accuracy: 0.9528, prior_entropy: 0.9135, recall: 0.9528, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4062, scimark_benchmark: 1299.213, usercpu_time_millis: 971.525, usercpu_time_millis_testing: 33.176, usercpu_time_millis_training: 938.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9524, kappa: 0.8907, kb_relative_information_score: 12937.2847, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9547, predictive_accuracy: 0.9532, prior_entropy: 0.9135, recall: 0.9532, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4083, scimark_benchmark: 1295.4559, usercpu_time_millis: 61.436, usercpu_time_millis_testing: 2.758, usercpu_time_millis_training: 58.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9454, kappa: 0.8744, kb_relative_information_score: 12604.0381, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9491, predictive_accuracy: 0.9465, prior_entropy: 0.9135, recall: 0.9465, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4339, scimark_benchmark: 1294.2502, usercpu_time_millis: 104.576, usercpu_time_millis_testing: 5.509, usercpu_time_millis_training: 99.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9519, kappa: 0.8896, kb_relative_information_score: 12966.0785, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9541, predictive_accuracy: 0.9527, prior_entropy: 0.9135, recall: 0.9527, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4066, scimark_benchmark: 1297.7819, usercpu_time_millis: 1014.533, usercpu_time_millis_testing: 30.169, usercpu_time_millis_training: 984.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12498.3759, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4412, scimark_benchmark: 1287.6638, usercpu_time_millis: 146.897, usercpu_time_millis_testing: 9.399, usercpu_time_millis_training: 137.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9407, kappa: 0.8631, kb_relative_information_score: 10471.4004, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9461, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4941, scimark_benchmark: 1292.5577, usercpu_time_millis: 190.581, usercpu_time_millis_testing: 14.49, usercpu_time_millis_training: 176.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9521, kappa: 0.8901, kb_relative_information_score: 12973.8747, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9543, predictive_accuracy: 0.9528, prior_entropy: 0.9135, recall: 0.9528, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4082, scimark_benchmark: 1285.4582, usercpu_time_millis: 207.485, usercpu_time_millis_testing: 5.15, usercpu_time_millis_training: 202.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9511, kappa: 0.8878, kb_relative_information_score: 12966.8515, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9532, predictive_accuracy: 0.9519, prior_entropy: 0.9135, recall: 0.9519, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4108, scimark_benchmark: 1300.1898, usercpu_time_millis: 598.947, usercpu_time_millis_testing: 16.64, usercpu_time_millis_training: 582.307,

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