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: 0.7154, f_measure: 0.7786, kappa: 0.0988, kb_relative_information_score: -791.4909, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8059, predictive_accuracy: 0.8367, prior_entropy: 0.6541, recall: 0.8367, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.9506, scimark_benchmark: 1264.6923, usercpu_time_millis: 7036.686, usercpu_time_millis_testing: 118.817, usercpu_time_millis_training: 6917.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7767, kappa: 0.091, kb_relative_information_score: -949.3965, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.836, prior_entropy: 0.6541, recall: 0.836, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.9518, scimark_benchmark: 1267.0166, usercpu_time_millis: 4424.164, usercpu_time_millis_testing: 90.604, usercpu_time_millis_training: 4333.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3353.456, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1270.3286, usercpu_time_millis: 347.196, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 347.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -3807.5797, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.99, scimark_benchmark: 1262.681, usercpu_time_millis: 102.586, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 102.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7724, kappa: 0.0723, kb_relative_information_score: -2198.948, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8082, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9534, scimark_benchmark: 1284.685, usercpu_time_millis: 7525.562, usercpu_time_millis_testing: 130.245, usercpu_time_millis_training: 7395.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3415.6586, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1254.7326, usercpu_time_millis: 733.401, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 733.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3917.2691, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903, scimark_benchmark: 1290.7937, usercpu_time_millis: 191.524, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 191.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3428.8122, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1262.4128, usercpu_time_millis: 940.986, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 940.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3376.9404, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1269.7356, usercpu_time_millis: 710.614, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 710.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7858, kappa: 0.1569, kb_relative_information_score: 3415.2045, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7739, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3853, root_relative_squared_error: 1.0296, scimark_benchmark: 1262.4352, usercpu_time_millis: 12335.52, usercpu_time_millis_testing: 197.669, usercpu_time_millis_training: 12137.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3039.5801, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1287.7218, usercpu_time_millis: 199.18, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 199.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7551, kb_relative_information_score: -2245.8269, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1290.1271, usercpu_time_millis: 2560.548, usercpu_time_millis_testing: 54.296, usercpu_time_millis_training: 2506.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6216, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.2339, usercpu_time_millis: 1001.566, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1001.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7551, kb_relative_information_score: -2163.4332, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1285.783, usercpu_time_millis: 3471.486, usercpu_time_millis_testing: 71.852, usercpu_time_millis_training: 3399.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2837.5852, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1280.5188, usercpu_time_millis: 3260.841, usercpu_time_millis_testing: 94.433, usercpu_time_millis_training: 3166.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2327.6857, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8011, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1261.959, usercpu_time_millis: 573.508, usercpu_time_millis_testing: 12.038, usercpu_time_millis_training: 561.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7691, kappa: 0.0584, kb_relative_information_score: -2198.0095, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1275.3716, usercpu_time_millis: 4136.284, usercpu_time_millis_testing: 53.105, usercpu_time_millis_training: 4083.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7605, kappa: 0.0221, kb_relative_information_score: -2579.4113, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1296.1107, usercpu_time_millis: 172.387, usercpu_time_millis_testing: 3.229, usercpu_time_millis_training: 169.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -1726.1406, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.822, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1244.4545, usercpu_time_millis: 752.721, usercpu_time_millis_testing: 35.292, usercpu_time_millis_training: 717.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2442.0185, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1276.4631, usercpu_time_millis: 1775.37, usercpu_time_millis_testing: 65.306, usercpu_time_millis_training: 1710.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7551, kb_relative_information_score: -2468.3085, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9714, scimark_benchmark: 1274.3985, usercpu_time_millis: 42.454, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 39.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7715, kappa: 0.0688, kb_relative_information_score: -2477.055, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1244.6284, usercpu_time_millis: 2374.569, usercpu_time_millis_testing: 19.145, usercpu_time_millis_training: 2355.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7745, kappa: 0.0816, kb_relative_information_score: -1104.5163, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9531, scimark_benchmark: 1287.8502, usercpu_time_millis: 1127.434, usercpu_time_millis_testing: 23.603, usercpu_time_millis_training: 1103.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3492.9731, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1270.4664, usercpu_time_millis: 306.732, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 306.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7686, kappa: 0.0563, kb_relative_information_score: -1266.7328, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8031, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.9543, scimark_benchmark: 1263.4926, usercpu_time_millis: 4230.119, usercpu_time_millis_testing: 89.267, usercpu_time_millis_training: 4140.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3168.648, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1290.0514, usercpu_time_millis: 1089.12, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 1089.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.7551, kb_relative_information_score: -4805.8586, mean_absolute_error: 0.2894, 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: 1.0332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9883, scimark_benchmark: 1287.5153, usercpu_time_millis: 1907.074, usercpu_time_millis_testing: 16.704, usercpu_time_millis_training: 1890.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.8433, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1261.1925, usercpu_time_millis: 766.104, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 766.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2854.7089, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1265.6385, usercpu_time_millis: 484.782, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 484.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7881, kappa: 0.1459, kb_relative_information_score: 179.5844, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.791, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1255.0231, usercpu_time_millis: 1669.944, usercpu_time_millis_testing: 38.466, usercpu_time_millis_training: 1631.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7811, kappa: 0.1101, kb_relative_information_score: -676.3389, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8036, predictive_accuracy: 0.8368, prior_entropy: 0.6541, recall: 0.8368, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9501, scimark_benchmark: 1263.8804, usercpu_time_millis: 3304.113, usercpu_time_millis_testing: 39.681, usercpu_time_millis_training: 3264.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -3302.5263, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8165, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1284.9141, usercpu_time_millis: 75.893, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 75.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3324.5123, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1286.9046, usercpu_time_millis: 251.576, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 251.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7864, kappa: 0.1373, kb_relative_information_score: -834.3349, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9589, scimark_benchmark: 1259.2233, usercpu_time_millis: 3430.153, usercpu_time_millis_testing: 39.032, usercpu_time_millis_training: 3391.121,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -3305.8329, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8174, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1294.0664, usercpu_time_millis: 866.551, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 866.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -2447.2144, mean_absolute_error: 0.2684, 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: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1261.8281, usercpu_time_millis: 2527.633, usercpu_time_millis_testing: 28.995, usercpu_time_millis_training: 2498.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3342.0983, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1270.6681, usercpu_time_millis: 457.527, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 457.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.7551, kb_relative_information_score: -6146.7956, mean_absolute_error: 0.2928, 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: 1.0451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1262.8817, usercpu_time_millis: 1166.658, usercpu_time_millis_testing: 12.819, usercpu_time_millis_training: 1153.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3269.3194, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1292.8052, usercpu_time_millis: 185.336, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 185.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7815, kappa: 0.1116, kb_relative_information_score: -416.5554, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.8377, prior_entropy: 0.6541, recall: 0.8377, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9496, scimark_benchmark: 1260.5075, usercpu_time_millis: 4016.703, usercpu_time_millis_testing: 83.958, usercpu_time_millis_training: 3932.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: -2678.0717, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.813, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1265.5459, usercpu_time_millis: 770.606, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 770.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3308.302, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1273.9827, usercpu_time_millis: 216.789, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 216.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7868, kappa: 0.1414, kb_relative_information_score: -1262.6999, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7872, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1271.6438, usercpu_time_millis: 595.801, usercpu_time_millis_testing: 12.103, usercpu_time_millis_training: 583.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3484.1629, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1292.5934, usercpu_time_millis: 1053.08, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1053.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7844, kappa: 0.1257, kb_relative_information_score: -645.1215, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.9537, scimark_benchmark: 1270.4493, usercpu_time_millis: 3705.253, usercpu_time_millis_testing: 70.194, usercpu_time_millis_training: 3635.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2300.9941, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1288.3779, usercpu_time_millis: 222.017, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 221.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: -2486.783, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8204, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1257.2488, usercpu_time_millis: 182.798, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 182.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3407.5038, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.882, usercpu_time_millis: 787.797, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 787.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7879, kappa: 0.1458, kb_relative_information_score: -917.5231, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1292.2841, usercpu_time_millis: 2638.906, usercpu_time_millis_testing: 42.66, usercpu_time_millis_training: 2596.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3367.8538, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1267.1488, usercpu_time_millis: 1103.273, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1103.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.8774, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1288.6297, usercpu_time_millis: 584.006, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 583.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.771, kappa: 0.066, kb_relative_information_score: -2299.2111, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8359, prior_entropy: 0.6541, recall: 0.8359, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9529, scimark_benchmark: 1286.8929, usercpu_time_millis: 3093.37, usercpu_time_millis_testing: 68.792, usercpu_time_millis_training: 3024.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2959.4253, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1268.1842, usercpu_time_millis: 660.735, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 660.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.7571, kappa: 0.0082, kb_relative_information_score: -3373.3814, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8158, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9844, scimark_benchmark: 1282.6851, usercpu_time_millis: 596.449, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 596.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7555, kappa: 0.0018, kb_relative_information_score: -3515.7882, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1280.7977, usercpu_time_millis: 24.485, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 24.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7887, kappa: 0.1515, kb_relative_information_score: -583.3738, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7875, predictive_accuracy: 0.8308, prior_entropy: 0.6541, recall: 0.8308, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1259.6436, usercpu_time_millis: 3337.171, usercpu_time_millis_testing: 76.564, usercpu_time_millis_training: 3260.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3325.9813, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1263.0037, usercpu_time_millis: 517.419, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 517.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.7738, kappa: 0.0784, kb_relative_information_score: -951.5097, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8057, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9525, scimark_benchmark: 1258.7738, usercpu_time_millis: 4301.19, usercpu_time_millis_testing: 93.793, usercpu_time_millis_training: 4207.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3265.5948, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1261.3372, usercpu_time_millis: 929.288, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 929.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3417.2376, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1268.3323, usercpu_time_millis: 758.725, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 758.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3106.4219, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1275.9233, usercpu_time_millis: 1078.36, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1078.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7892, kappa: 0.1615, kb_relative_information_score: 209.4945, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7816, predictive_accuracy: 0.825, prior_entropy: 0.6541, recall: 0.825, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9849, scimark_benchmark: 1266.7289, usercpu_time_millis: 5033.277, usercpu_time_millis_testing: 70.822, usercpu_time_millis_training: 4962.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7877, kappa: 0.1461, kb_relative_information_score: -656.292, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1273.2764, usercpu_time_millis: 7484.072, usercpu_time_millis_testing: 103.718, usercpu_time_millis_training: 7380.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -2769.4789, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8167, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1268.9694, usercpu_time_millis: 524.433, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 524.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6171, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1262.5215, usercpu_time_millis: 403.132, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 403.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3507.1687, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1257.6815, usercpu_time_millis: 365.43, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 365.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -3116.5613, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8167, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1265.4134, usercpu_time_millis: 195.412, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 195.351,

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