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: 0.6175, f_measure: 0.7551, kb_relative_information_score: -3310.9637, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9907, scimark_benchmark: 1724.3378, usercpu_time_millis: 7.253, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7588, kappa: 0.0152, kb_relative_information_score: -1720.0087, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8294, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1154.4635, usercpu_time_millis: 520.61, usercpu_time_millis_testing: 29.61, usercpu_time_millis_training: 491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7551, kb_relative_information_score: -2556.2363, mean_absolute_error: 0.2665, 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: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1091.7436, usercpu_time_millis: 248.7, usercpu_time_millis_testing: 12.7, usercpu_time_millis_training: 236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7719, kappa: 0.0704, kb_relative_information_score: -3097.917, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1109.4895, usercpu_time_millis: 2135.009, usercpu_time_millis_testing: 29.386, usercpu_time_millis_training: 2105.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7685, kappa: 0.0558, kb_relative_information_score: -2267.6705, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1202.5591, usercpu_time_millis: 1570.801, usercpu_time_millis_testing: 26.59, usercpu_time_millis_training: 1544.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.7795, kappa: 0.1092, kb_relative_information_score: -3971.6891, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8286, prior_entropy: 0.6541, recall: 0.8286, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1135.6061, usercpu_time_millis: 2478.13, usercpu_time_millis_testing: 56.643, usercpu_time_millis_training: 2421.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.773, kappa: 0.0752, kb_relative_information_score: -2632.7505, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 986.2226, usercpu_time_millis: 5805.185, usercpu_time_millis_testing: 39.441, usercpu_time_millis_training: 5765.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7686, kappa: 0.0563, kb_relative_information_score: -3487.7333, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 971.8887, usercpu_time_millis: 607.054, usercpu_time_millis_testing: 23.082, usercpu_time_millis_training: 583.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7551, kb_relative_information_score: -1915.2784, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 887.5605, usercpu_time_millis: 183.629, usercpu_time_millis_testing: 10.328, usercpu_time_millis_training: 173.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7586, kappa: 0.0142, kb_relative_information_score: -2460.3909, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1204.9834, usercpu_time_millis: 580.235, usercpu_time_millis_testing: 14.385, usercpu_time_millis_training: 565.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -19.9086, 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: 973.862, usercpu_time_millis: 50.069, usercpu_time_millis_testing: 5.671, usercpu_time_millis_training: 44.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7679, kappa: 0.0533, kb_relative_information_score: -2236.8158, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7956, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1091.7196, usercpu_time_millis: 2794.132, usercpu_time_millis_testing: 46.009, usercpu_time_millis_training: 2748.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7586, kappa: 0.0142, kb_relative_information_score: -2612.4507, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7913, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1195.4484, usercpu_time_millis: 189.563, usercpu_time_millis_testing: 5.528, usercpu_time_millis_training: 184.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.778, kappa: 0.0981, kb_relative_information_score: -3517.6388, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7906, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1206.2079, usercpu_time_millis: 4149.616, usercpu_time_millis_testing: 76.098, usercpu_time_millis_training: 4073.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7551, kb_relative_information_score: -2513.4491, mean_absolute_error: 0.2672, 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: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1003.2239, usercpu_time_millis: 438.424, usercpu_time_millis_testing: 18.344, usercpu_time_millis_training: 420.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7551, kb_relative_information_score: -1857.4471, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1106.064, usercpu_time_millis: 243.254, usercpu_time_millis_testing: 10.708, usercpu_time_millis_training: 232.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7726, kappa: 0.0736, kb_relative_information_score: -3057.0535, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1127.7137, usercpu_time_millis: 1126.209, usercpu_time_millis_testing: 31.433, usercpu_time_millis_training: 1094.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7734, kappa: 0.0773, kb_relative_information_score: -2535.5524, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7931, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1135.3505, usercpu_time_millis: 1682.271, usercpu_time_millis_testing: 52.159, usercpu_time_millis_training: 1630.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7703, kappa: 0.0637, kb_relative_information_score: -4176.3546, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 879.3141, usercpu_time_millis: 780.176, usercpu_time_millis_testing: 20.906, usercpu_time_millis_training: 759.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2482.2279, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1211.1275, usercpu_time_millis: 729.364, usercpu_time_millis_testing: 14.097, usercpu_time_millis_training: 715.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.77, kappa: 0.0622, kb_relative_information_score: -2228.5632, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1172.1085, usercpu_time_millis: 3008.215, usercpu_time_millis_testing: 47.087, usercpu_time_millis_training: 2961.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7671, kappa: 0.05, kb_relative_information_score: -1924.0978, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9585, scimark_benchmark: 1161.9103, usercpu_time_millis: 1893.649, usercpu_time_millis_testing: 47.172, usercpu_time_millis_training: 1846.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: -2639.0615, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7906, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1201.9046, usercpu_time_millis: 572.255, usercpu_time_millis_testing: 20.54, usercpu_time_millis_training: 551.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.7551, kb_relative_information_score: -2281.4244, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9891, scimark_benchmark: 1005.6433, usercpu_time_millis: 96.857, usercpu_time_millis_testing: 6.006, usercpu_time_millis_training: 90.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7719, kappa: 0.0704, kb_relative_information_score: -3167.9344, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1278.1422, usercpu_time_millis: 1801.38, usercpu_time_millis_testing: 50.599, usercpu_time_millis_training: 1750.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.7551, kb_relative_information_score: -3085.7726, mean_absolute_error: 0.2762, 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: 0.9861, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1202.8374, usercpu_time_millis: 157.631, usercpu_time_millis_testing: 10.034, usercpu_time_millis_training: 147.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7589, kappa: 0.0158, kb_relative_information_score: -2387.6399, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1119.3173, usercpu_time_millis: 1606.689, usercpu_time_millis_testing: 42.573, usercpu_time_millis_training: 1564.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -1745.7931, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8259, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 875.488, usercpu_time_millis: 488.311, usercpu_time_millis_testing: 30.196, usercpu_time_millis_training: 458.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.7551, kb_relative_information_score: -1868.2159, mean_absolute_error: 0.2731, 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: 0.9748, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9804, scimark_benchmark: 1236.2948, usercpu_time_millis: 117.928, usercpu_time_millis_testing: 8.178, usercpu_time_millis_training: 109.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -12.4508, 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: 865.7277, usercpu_time_millis: 92.634, usercpu_time_millis_testing: 7.032, usercpu_time_millis_training: 85.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7761, kappa: 0.0891, kb_relative_information_score: -3111.9436, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1149.4214, usercpu_time_millis: 1351.991, usercpu_time_millis_testing: 26.863, usercpu_time_millis_training: 1325.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.775, kappa: 0.0846, kb_relative_information_score: -4046.0871, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1183.591, usercpu_time_millis: 2271.618, usercpu_time_millis_testing: 61.175, usercpu_time_millis_training: 2210.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7784, kappa: 0.1016, kb_relative_information_score: -4067.3079, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1115.7393, usercpu_time_millis: 5289.84, usercpu_time_millis_testing: 63.385, usercpu_time_millis_training: 5226.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7802, kappa: 0.1142, kb_relative_information_score: -3891.3074, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7756, predictive_accuracy: 0.8268, prior_entropy: 0.6541, recall: 0.8268, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1076.4162, usercpu_time_millis: 4328.647, usercpu_time_millis_testing: 65.682, usercpu_time_millis_training: 4262.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kb_relative_information_score: -2413.4083, 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: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9744, scimark_benchmark: 867.0744, usercpu_time_millis: 238.906, usercpu_time_millis_testing: 22.679, usercpu_time_millis_training: 216.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7589, kappa: 0.0156, kb_relative_information_score: -1724.3657, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.827, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 869.2508, usercpu_time_millis: 549.379, usercpu_time_millis_testing: 31.016, usercpu_time_millis_training: 518.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7704, kappa: 0.064, kb_relative_information_score: -2477.3592, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1086.9717, usercpu_time_millis: 3851.838, usercpu_time_millis_testing: 55.009, usercpu_time_millis_training: 3796.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2328.1579, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1163.7015, usercpu_time_millis: 1558.905, usercpu_time_millis_testing: 41.124, usercpu_time_millis_training: 1517.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7713, kappa: 0.0679, kb_relative_information_score: -2480.0042, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8017, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1001.4845, usercpu_time_millis: 2508.938, usercpu_time_millis_testing: 59.259, usercpu_time_millis_training: 2449.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2521.9162, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8146, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 867.7712, usercpu_time_millis: 301.856, usercpu_time_millis_testing: 25.535, usercpu_time_millis_training: 276.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7807, kappa: 0.1144, kb_relative_information_score: -3764.3322, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7799, predictive_accuracy: 0.8292, prior_entropy: 0.6541, recall: 0.8292, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 869.3521, usercpu_time_millis: 2621.519, usercpu_time_millis_testing: 51.218, usercpu_time_millis_training: 2570.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.1923, 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: 1130.7598, usercpu_time_millis: 42.814, usercpu_time_millis_testing: 4.331, usercpu_time_millis_training: 38.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7681, kappa: 0.0542, kb_relative_information_score: -2615.3799, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9593, scimark_benchmark: 1198.938, usercpu_time_millis: 929.837, usercpu_time_millis_testing: 43.999, usercpu_time_millis_training: 885.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7653, kappa: 0.0424, kb_relative_information_score: -1975.78, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1152.1517, usercpu_time_millis: 615.456, usercpu_time_millis_testing: 16.833, usercpu_time_millis_training: 598.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7768, kappa: 0.0932, kb_relative_information_score: -2995.673, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7879, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1177.7727, usercpu_time_millis: 6282.077, usercpu_time_millis_testing: 63.537, usercpu_time_millis_training: 6218.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7679, kappa: 0.0532, kb_relative_information_score: -3458.0191, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1015.0254, usercpu_time_millis: 293.475, usercpu_time_millis_testing: 22.871, usercpu_time_millis_training: 270.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7551, kb_relative_information_score: -2828.9786, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 873.6874, usercpu_time_millis: 151.654, usercpu_time_millis_testing: 6.031, usercpu_time_millis_training: 145.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7565, kappa: 0.0057, kb_relative_information_score: -2464.2486, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 981.0449, usercpu_time_millis: 439.471, usercpu_time_millis_testing: 13.325, usercpu_time_millis_training: 426.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7729, kappa: 0.0748, kb_relative_information_score: -2807.719, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 974.7399, usercpu_time_millis: 2548.022, usercpu_time_millis_testing: 50.336, usercpu_time_millis_training: 2497.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.774, kappa: 0.0801, kb_relative_information_score: -2850.4562, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1115.5182, usercpu_time_millis: 3276.106, usercpu_time_millis_testing: 36.534, usercpu_time_millis_training: 3239.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.775, kappa: 0.0844, kb_relative_information_score: -3474.6121, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1109.0095, usercpu_time_millis: 2290.095, usercpu_time_millis_testing: 31.238, usercpu_time_millis_training: 2258.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.7551, kb_relative_information_score: -3766.434, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9843, scimark_benchmark: 999.3617, usercpu_time_millis: 165.32, usercpu_time_millis_testing: 7.515, usercpu_time_millis_training: 157.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.7551, kb_relative_information_score: -2644.8903, 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: 0.3652, root_relative_squared_error: 0.976, scimark_benchmark: 1113.25, usercpu_time_millis: 296.486, usercpu_time_millis_testing: 15.01, usercpu_time_millis_training: 281.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7776, kappa: 0.0972, kb_relative_information_score: -3966.3385, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7862, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1091.4148, usercpu_time_millis: 4636.964, usercpu_time_millis_testing: 40.405, usercpu_time_millis_training: 4596.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7611, kappa: 0.0249, kb_relative_information_score: -2405.8879, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 992.4142, usercpu_time_millis: 2238.185, usercpu_time_millis_testing: 36.207, usercpu_time_millis_training: 2201.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2470.6815, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1130.221, usercpu_time_millis: 234.048, usercpu_time_millis_testing: 6.547, usercpu_time_millis_training: 227.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7702, kappa: 0.0632, kb_relative_information_score: -3099.7068, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 985.6637, usercpu_time_millis: 956.222, usercpu_time_millis_testing: 23.544, usercpu_time_millis_training: 932.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.7551, kb_relative_information_score: -2844.8174, 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: 0.9623, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9752, scimark_benchmark: 947.5927, usercpu_time_millis: 15.413, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 14.847,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7656, kappa: 0.0436, kb_relative_information_score: -2722.6447, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1281.0104, usercpu_time_millis: 550.814, usercpu_time_millis_testing: 31.443, usercpu_time_millis_training: 519.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7551, kb_relative_information_score: -2856.7372, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756, scimark_benchmark: 866.6126, usercpu_time_millis: 119.752, usercpu_time_millis_testing: 5.67, usercpu_time_millis_training: 114.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7768, kappa: 0.0931, kb_relative_information_score: -3872.9759, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 977.7556, usercpu_time_millis: 5169.192, usercpu_time_millis_testing: 44.228, usercpu_time_millis_training: 5124.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7701, kappa: 0.0628, kb_relative_information_score: -2312.1566, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1094.2468, usercpu_time_millis: 1768.514, usercpu_time_millis_testing: 15.161, usercpu_time_millis_training: 1753.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2682.4179, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1810.7731, usercpu_time_millis: 535.993, usercpu_time_millis_testing: 17.996, usercpu_time_millis_training: 517.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -1790.6196, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8272, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1084.8163, usercpu_time_millis: 718.415, usercpu_time_millis_testing: 35.921, usercpu_time_millis_training: 682.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -50.69, 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: 1.0003, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1129.7796, usercpu_time_millis: 9.331, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 8.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7664, kappa: 0.047, kb_relative_information_score: -2891.5601, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 985.1007, usercpu_time_millis: 1098.097, usercpu_time_millis_testing: 32.991, usercpu_time_millis_training: 1065.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7605, kappa: 0.0221, kb_relative_information_score: -2482.6405, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1858.0974, usercpu_time_millis: 323.286, usercpu_time_millis_testing: 9.774, usercpu_time_millis_training: 313.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.7551, kb_relative_information_score: -3167.9859, 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: 0.9601, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9765, scimark_benchmark: 1812.3292, usercpu_time_millis: 142.313, usercpu_time_millis_testing: 7.061, usercpu_time_millis_training: 135.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7699, kappa: 0.0624, kb_relative_information_score: -2446.2295, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7911, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1849.3014, usercpu_time_millis: 219.541, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 217.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.7551, kb_relative_information_score: -2928.0038, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1853.3841, usercpu_time_millis: 163.886, usercpu_time_millis_testing: 11.227, usercpu_time_millis_training: 152.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.1783, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1854.4951, usercpu_time_millis: 38.834, usercpu_time_millis_testing: 6.509, usercpu_time_millis_training: 32.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2828.2382, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7847, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9715, scimark_benchmark: 1850.3603, usercpu_time_millis: 109.412, usercpu_time_millis_testing: 3.779, usercpu_time_millis_training: 105.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.7551, kb_relative_information_score: -2606.1382, 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: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1854.4431, usercpu_time_millis: 82.354, usercpu_time_millis_testing: 5.626, usercpu_time_millis_training: 76.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.7551, kb_relative_information_score: -1850.1257, mean_absolute_error: 0.2755, 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: 0.9836, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 1858.6775, usercpu_time_millis: 50.553, usercpu_time_millis_testing: 5.836, usercpu_time_millis_training: 44.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.9773, 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: 1851.3986, usercpu_time_millis: 39.086, usercpu_time_millis_testing: 6.782, usercpu_time_millis_training: 32.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -25.2343, 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: 1854.4951, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7682, kappa: 0.0547, kb_relative_information_score: -3100.9758, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1211.4839, usercpu_time_millis: 558.491, usercpu_time_millis_testing: 15.727, usercpu_time_millis_training: 542.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -34.4929, 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: 989.4636, usercpu_time_millis: 47.356, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 44.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.203, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 921.3842, usercpu_time_millis: 15.664, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 13.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7551, kb_relative_information_score: -2614.2445, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 870.1624, usercpu_time_millis: 184.118, usercpu_time_millis_testing: 7.649, usercpu_time_millis_training: 176.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7617, kappa: 0.0272, kb_relative_information_score: -2634.5019, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1236.9272, usercpu_time_millis: 1058.407, usercpu_time_millis_testing: 28.871, usercpu_time_millis_training: 1029.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -2614.381, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7523, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1137.9285, usercpu_time_millis: 248.698, usercpu_time_millis_testing: 4.768, usercpu_time_millis_training: 243.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.7584, kappa: 0.0135, kb_relative_information_score: -2496.0898, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7828, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1125.4378, usercpu_time_millis: 228.735, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 225.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.7551, kb_relative_information_score: -3143.3383, mean_absolute_error: 0.2722, 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: 0.9716, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9811, scimark_benchmark: 1145.8249, usercpu_time_millis: 126.772, usercpu_time_millis_testing: 9.581, usercpu_time_millis_training: 117.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.7551, kb_relative_information_score: -2233.4633, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9889, scimark_benchmark: 1123.6494, usercpu_time_millis: 160.372, usercpu_time_millis_testing: 12.322, usercpu_time_millis_training: 148.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7731, kappa: 0.0758, kb_relative_information_score: -2570.7725, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1067.212, usercpu_time_millis: 1072.741, usercpu_time_millis_testing: 34.906, usercpu_time_millis_training: 1037.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7687, kappa: 0.057, kb_relative_information_score: -2507.2683, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 898.2816, usercpu_time_millis: 781.591, usercpu_time_millis_testing: 11.241, usercpu_time_millis_training: 770.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -33.7691, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 900.3112, usercpu_time_millis: 64.12, usercpu_time_millis_testing: 3.765, usercpu_time_millis_training: 60.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -11.1774, 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: 1161.8172, usercpu_time_millis: 14.358, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 12.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7747, kappa: 0.0828, kb_relative_information_score: -3388.2878, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.795, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1082.2483, usercpu_time_millis: 1134.122, usercpu_time_millis_testing: 16.063, usercpu_time_millis_training: 1118.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: -2508.6309, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7726, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1115.4448, usercpu_time_millis: 843.291, usercpu_time_millis_testing: 18.322, usercpu_time_millis_training: 824.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7657, kappa: 0.0439, kb_relative_information_score: -2332.2638, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1131.5642, usercpu_time_millis: 378.975, usercpu_time_millis_testing: 16.863, usercpu_time_millis_training: 362.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.7551, kb_relative_information_score: -2333.9948, mean_absolute_error: 0.2755, 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: 0.9836, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1161.6547, usercpu_time_millis: 4.779, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 4.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.6019, 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: 1084.8494, usercpu_time_millis: 49.347, usercpu_time_millis_testing: 7.331, usercpu_time_millis_training: 42.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7551, kb_relative_information_score: -1922.5265, 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: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 985.7714, usercpu_time_millis: 175.235, usercpu_time_millis_testing: 12.362, usercpu_time_millis_training: 162.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -25.0033, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1198.2302, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 3.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.0464, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1083.4047, usercpu_time_millis: 18.279, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 15.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.7551, kb_relative_information_score: -3104.2246, 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: 0.9616, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9772, scimark_benchmark: 1171.5363, usercpu_time_millis: 86.626, usercpu_time_millis_testing: 2.418, usercpu_time_millis_training: 84.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -49.7318, 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: 1.0003, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1189.6926, usercpu_time_millis: 31.427, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 29.768,

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