OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.7551, kb_relative_information_score: -2175.0718, mean_absolute_error: 0.2754, 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: 0.9831, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1232.3594, usercpu_time_millis: 42.593, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 39.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -1778.4718, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8181, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1475.6616, usercpu_time_millis: 386.17, usercpu_time_millis_testing: 26.45, usercpu_time_millis_training: 359.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7776, kappa: 0.0983, kb_relative_information_score: -4235.3104, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7808, predictive_accuracy: 0.8306, prior_entropy: 0.6541, recall: 0.8306, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1424.6828, usercpu_time_millis: 4557.93, usercpu_time_millis_testing: 84.78, usercpu_time_millis_training: 4473.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7745, kappa: 0.0818, kb_relative_information_score: -3146.0419, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1343.2686, usercpu_time_millis: 305.28, usercpu_time_millis_testing: 3.9, usercpu_time_millis_training: 301.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7686, kappa: 0.056, kb_relative_information_score: -2331.9999, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8076, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1460.7729, usercpu_time_millis: 1142.08, usercpu_time_millis_testing: 49.75, usercpu_time_millis_training: 1092.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7551, kb_relative_information_score: -2800.9426, 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: 0.9606, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1357.1759, usercpu_time_millis: 162.81, usercpu_time_millis_testing: 11.8, usercpu_time_millis_training: 151.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -11.2962, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1373.8743, usercpu_time_millis: 93.64, usercpu_time_millis_testing: 6.51, usercpu_time_millis_training: 87.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -16.7197, 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: 1431.5999, usercpu_time_millis: 18.2, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 15.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7585, kappa: 0.0139, kb_relative_information_score: -2580.2155, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7756, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1439.5429, usercpu_time_millis: 139.57, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 137.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7551, kb_relative_information_score: -2572.0817, mean_absolute_error: 0.2659, 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: 0.9494, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1441.1335, usercpu_time_millis: 358.98, usercpu_time_millis_testing: 13.22, usercpu_time_millis_training: 345.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7781, kappa: 0.1027, kb_relative_information_score: -4397.5454, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7766, predictive_accuracy: 0.8285, prior_entropy: 0.6541, recall: 0.8285, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9802, scimark_benchmark: 1426.3609, usercpu_time_millis: 515.56, usercpu_time_millis_testing: 7.29, usercpu_time_millis_training: 508.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -2.1847, 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: 1342.1225, usercpu_time_millis: 66.92, usercpu_time_millis_testing: 8.77, usercpu_time_millis_training: 58.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7551, kb_relative_information_score: -2016.1218, 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: 0.9837, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9872, scimark_benchmark: 1415.6836, usercpu_time_millis: 154.86, usercpu_time_millis_testing: 10.43, usercpu_time_millis_training: 144.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7758, kappa: 0.0883, kb_relative_information_score: -3577.2413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7919, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1354.3787, usercpu_time_millis: 4659.44, usercpu_time_millis_testing: 47.61, usercpu_time_millis_training: 4611.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.7551, kb_relative_information_score: -1441.9451, 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: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1395.3648, usercpu_time_millis: 120.45, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 109.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.7551, kb_relative_information_score: -2456.5852, mean_absolute_error: 0.274, 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: 0.9782, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9837, scimark_benchmark: 1316.7774, usercpu_time_millis: 56.12, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 51.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7551, kb_relative_information_score: -2420.6399, 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: 0.9636, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1302.6939, usercpu_time_millis: 101.84, usercpu_time_millis_testing: 5.03, usercpu_time_millis_training: 96.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7582, kappa: 0.0129, kb_relative_information_score: -2496.8685, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7932, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1464.1005, usercpu_time_millis: 790.68, usercpu_time_millis_testing: 20.7, usercpu_time_millis_training: 769.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7774, kappa: 0.0979, kb_relative_information_score: -4368.2479, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7803, predictive_accuracy: 0.8304, prior_entropy: 0.6541, recall: 0.8304, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1456.5656, usercpu_time_millis: 2539.98, usercpu_time_millis_testing: 38.57, usercpu_time_millis_training: 2501.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -1979.9251, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9741, scimark_benchmark: 1327.242, usercpu_time_millis: 132.84, usercpu_time_millis_testing: 8.2, usercpu_time_millis_training: 124.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7714, kappa: 0.0693, kb_relative_information_score: -2850.756, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7849, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1285.2305, usercpu_time_millis: 432.15, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 429.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.7746, kappa: 0.087, kb_relative_information_score: -4116.3705, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1490.1977, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7715, kappa: 0.0685, kb_relative_information_score: -2752.52, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1362.515, usercpu_time_millis: 718.18, usercpu_time_millis_testing: 14.58, usercpu_time_millis_training: 703.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.759, kappa: 0.016, kb_relative_information_score: -2606.2216, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7865, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1450.7881, usercpu_time_millis: 57.03, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 56.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7551, kb_relative_information_score: -1918.0729, 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: 0.9586, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 1485.037, usercpu_time_millis: 25.54, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 24.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7551, kb_relative_information_score: -2927.4354, mean_absolute_error: 0.267, 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: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1431.8866, usercpu_time_millis: 333.92, usercpu_time_millis_testing: 15.97, usercpu_time_millis_training: 317.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2474.6048, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1527.6264, usercpu_time_millis: 712.71, usercpu_time_millis_testing: 13.64, usercpu_time_millis_training: 699.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7779, kappa: 0.0976, kb_relative_information_score: -3805.3099, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1415.4126, usercpu_time_millis: 1957.93, usercpu_time_millis_testing: 25.63, usercpu_time_millis_training: 1932.3,
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: 0.6826, f_measure: 0.7775, kappa: 0.0958, kb_relative_information_score: -3732.1903, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.79, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1385.545, usercpu_time_millis: 1162.68, usercpu_time_millis_testing: 17.21, usercpu_time_millis_training: 1145.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.7675, kappa: 0.0514, kb_relative_information_score: -2189.2925, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8046, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1471.2314, usercpu_time_millis: 912.29, usercpu_time_millis_testing: 34.11, usercpu_time_millis_training: 878.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7592, kappa: 0.017, kb_relative_information_score: -2438.4832, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1449.2705, usercpu_time_millis: 226.63, usercpu_time_millis_testing: 7.39, usercpu_time_millis_training: 219.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.774, kappa: 0.0797, kb_relative_information_score: -3825.6846, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1419.6364, usercpu_time_millis: 190.72, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 186.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2496.0187, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1354.9345, usercpu_time_millis: 1013.2, usercpu_time_millis_testing: 14.83, usercpu_time_millis_training: 998.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7551, kb_relative_information_score: -1941.8747, mean_absolute_error: 0.2713, 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: 0.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1422.2918, usercpu_time_millis: 189.83, usercpu_time_millis_testing: 16.31, usercpu_time_millis_training: 173.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7717, kappa: 0.07, kb_relative_information_score: -3772.9693, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1470.1098, usercpu_time_millis: 569.87, usercpu_time_millis_testing: 12.43, usercpu_time_millis_training: 557.44,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7733, kappa: 0.0767, kb_relative_information_score: -4138.0125, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1853.3841, usercpu_time_millis: 124.212, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 120.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7551, kb_relative_information_score: -1970.0603, mean_absolute_error: 0.269, 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: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1895.4845, usercpu_time_millis: 61.854, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 58.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7556, kappa: 0.0022, kb_relative_information_score: -2480.5855, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1850.4554, usercpu_time_millis: 52.12, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 50.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -2362.8319, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8299, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1824.1636, usercpu_time_millis: 6.694, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 6.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2538.1961, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7847, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1851.8567, usercpu_time_millis: 937.38, usercpu_time_millis_testing: 15.418, usercpu_time_millis_training: 921.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7586, kappa: 0.0143, kb_relative_information_score: -2594.1035, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7756, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1853.454, usercpu_time_millis: 610.823, usercpu_time_millis_testing: 9.302, usercpu_time_millis_training: 601.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2448.3057, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1850.2875, usercpu_time_millis: 462.195, usercpu_time_millis_testing: 14.801, usercpu_time_millis_training: 447.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -2404.8328, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1854.4431, usercpu_time_millis: 365.694, usercpu_time_millis_testing: 16.459, usercpu_time_millis_training: 349.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7556, kappa: 0.0018, kb_relative_information_score: -2514.665, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7555, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1825.1897, usercpu_time_millis: 322.648, usercpu_time_millis_testing: 9.872, usercpu_time_millis_training: 312.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7671, kappa: 0.05, kb_relative_information_score: -2265.3993, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1852.5406, usercpu_time_millis: 282.851, usercpu_time_millis_testing: 6.118, usercpu_time_millis_training: 276.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7566, kappa: 0.0062, kb_relative_information_score: -2196.2177, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1828.686, usercpu_time_millis: 224.644, usercpu_time_millis_testing: 9.167, usercpu_time_millis_training: 215.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7684, kappa: 0.0553, kb_relative_information_score: -2249.2275, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1858.6076, usercpu_time_millis: 143.601, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 141.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.7551, kb_relative_information_score: -3742.447, 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: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1820.5148, usercpu_time_millis: 137.237, usercpu_time_millis_testing: 9.445, usercpu_time_millis_training: 127.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7551, kb_relative_information_score: -1791.1054, mean_absolute_error: 0.2737, 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: 0.9771, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1824.5096, usercpu_time_millis: 129.957, usercpu_time_millis_testing: 11.31, usercpu_time_millis_training: 118.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.7551, kb_relative_information_score: -4043.5541, mean_absolute_error: 0.2724, 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: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1853.9121, usercpu_time_millis: 61.169, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 57.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7551, kb_relative_information_score: -1501.2053, mean_absolute_error: 0.2763, 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: 0.9864, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1944.3408, usercpu_time_millis: 58.22, usercpu_time_millis_testing: 6.738, usercpu_time_millis_training: 51.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.7551, kb_relative_information_score: -3949.9044, mean_absolute_error: 0.2728, 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: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9855, scimark_benchmark: 1854.4951, usercpu_time_millis: 13.218, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 12.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.7551, kb_relative_information_score: -2503.342, mean_absolute_error: 0.2737, 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: 0.9772, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1829.6692, usercpu_time_millis: 2.961, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 2.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7586, kappa: 0.0144, kb_relative_information_score: -2562.5838, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7798, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 2145.2961, usercpu_time_millis: 651.901, usercpu_time_millis_testing: 14.314, usercpu_time_millis_training: 637.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1820.396, mean_absolute_error: 0.2676, 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: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1731.0556, usercpu_time_millis: 244.228, usercpu_time_millis_testing: 14.101, usercpu_time_millis_training: 230.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7551, kb_relative_information_score: -1969.0598, 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: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731, scimark_benchmark: 1752.0372, usercpu_time_millis: 186.137, usercpu_time_millis_testing: 12.451, usercpu_time_millis_training: 173.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7551, kb_relative_information_score: -2873.6443, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1730.591, usercpu_time_millis: 163.533, usercpu_time_millis_testing: 9.3, usercpu_time_millis_training: 154.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.779, kappa: 0.1056, kb_relative_information_score: -4186.264, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.83, prior_entropy: 0.6541, recall: 0.83, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9795, scimark_benchmark: 1735.1328, usercpu_time_millis: 96.713, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 94.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7551, kb_relative_information_score: -2052.8962, mean_absolute_error: 0.2758, 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: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1724.569, usercpu_time_millis: 54.066, usercpu_time_millis_testing: 5.837, usercpu_time_millis_training: 48.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7551, kb_relative_information_score: -2683.8939, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1733.7613, usercpu_time_millis: 47.892, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 45.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.4144, 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: 1746.7462, usercpu_time_millis: 36.902, usercpu_time_millis_testing: 7.312, usercpu_time_millis_training: 29.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7702, kappa: 0.0632, kb_relative_information_score: -2509.0566, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1736.4936, usercpu_time_millis: 25.975, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 25.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7551, kb_relative_information_score: -2022.0306, mean_absolute_error: 0.2704, 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: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1752.6185, usercpu_time_millis: 9.348, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 8.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -61.6062, 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: 1731.3956, usercpu_time_millis: 6.496, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 5.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7615, kappa: 0.0263, kb_relative_information_score: -2447.4491, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1730.1287, usercpu_time_millis: 609.635, usercpu_time_millis_testing: 14.314, usercpu_time_millis_training: 595.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2449.0446, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1730.1903, usercpu_time_millis: 227.402, usercpu_time_millis_testing: 5.249, usercpu_time_millis_training: 222.153,

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