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: 0.6915, f_measure: 0.7726, kappa: 0.0736, kb_relative_information_score: -3510.6914, mean_absolute_error: 0.2636, 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: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1280.0199, usercpu_time_millis: 1570.913, usercpu_time_millis_testing: 52.379, usercpu_time_millis_training: 1518.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -2920.9286, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1277.2562, usercpu_time_millis: 2521.143, usercpu_time_millis_testing: 61.267, usercpu_time_millis_training: 2459.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7683, kappa: 0.055, kb_relative_information_score: -2166.8215, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1278.0868, usercpu_time_millis: 2282.017, usercpu_time_millis_testing: 30.475, usercpu_time_millis_training: 2251.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.769, kappa: 0.0578, kb_relative_information_score: -2200.9829, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9605, scimark_benchmark: 1286.0289, usercpu_time_millis: 445.272, usercpu_time_millis_testing: 7.391, usercpu_time_millis_training: 437.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2747.8075, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1274.9578, usercpu_time_millis: 11.502, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 10.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7688, kappa: 0.057, kb_relative_information_score: -2884.0176, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1286.961, usercpu_time_millis: 3291.253, usercpu_time_millis_testing: 60.396, usercpu_time_millis_training: 3230.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -1792.2658, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1294.1729, usercpu_time_millis: 1555.153, usercpu_time_millis_testing: 74.656, usercpu_time_millis_training: 1480.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7551, kb_relative_information_score: -2565.3773, mean_absolute_error: 0.2663, 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: 0.9505, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1285.35, usercpu_time_millis: 225.961, usercpu_time_millis_testing: 11.615, usercpu_time_millis_training: 214.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7582, kappa: 0.013, kb_relative_information_score: -2740.7846, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1286.8792, usercpu_time_millis: 3955.634, usercpu_time_millis_testing: 72.581, usercpu_time_millis_training: 3883.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7612, kappa: 0.0253, kb_relative_information_score: -2572.973, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1287.2589, usercpu_time_millis: 532.468, usercpu_time_millis_testing: 12.963, usercpu_time_millis_training: 519.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2329.6817, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1287.1941, usercpu_time_millis: 161.434, usercpu_time_millis_testing: 4.156, usercpu_time_millis_training: 157.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7709, kappa: 0.0661, kb_relative_information_score: -3334.1881, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1285.2479, usercpu_time_millis: 1420.594, usercpu_time_millis_testing: 34.234, usercpu_time_millis_training: 1386.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7566, kappa: 0.0061, kb_relative_information_score: -2490.38, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7681, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1271.2122, usercpu_time_millis: 669.748, usercpu_time_millis_testing: 18.783, usercpu_time_millis_training: 650.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2354.8033, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1288.5646, usercpu_time_millis: 2397.448, usercpu_time_millis_testing: 66.007, usercpu_time_millis_training: 2331.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7752, kappa: 0.0853, kb_relative_information_score: -2874.9051, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7921, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1291.8219, usercpu_time_millis: 2734.351, usercpu_time_millis_testing: 23.979, usercpu_time_millis_training: 2710.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7726, kappa: 0.0735, kb_relative_information_score: -3703.4304, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1287.5001, usercpu_time_millis: 2039.732, usercpu_time_millis_testing: 56.764, usercpu_time_millis_training: 1982.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -2859.7302, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7709, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1285.2493, usercpu_time_millis: 402.079, usercpu_time_millis_testing: 26.574, usercpu_time_millis_training: 375.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3092.1536, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1292.8196, usercpu_time_millis: 530.038, usercpu_time_millis_testing: 22.398, usercpu_time_millis_training: 507.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7613, kappa: 0.0254, kb_relative_information_score: -2669.1276, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8093, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1286.8544, usercpu_time_millis: 98.14, usercpu_time_millis_testing: 4.363, usercpu_time_millis_training: 93.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7612, kappa: 0.0251, kb_relative_information_score: -2583.0582, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1062.4801, usercpu_time_millis: 754.663, usercpu_time_millis_testing: 19.571, usercpu_time_millis_training: 735.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2499.9705, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1210.4705, usercpu_time_millis: 594.438, usercpu_time_millis_testing: 15.224, usercpu_time_millis_training: 579.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.771, kappa: 0.0668, kb_relative_information_score: -2742.7683, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1858.6775, usercpu_time_millis: 591.684, usercpu_time_millis_testing: 5.628, usercpu_time_millis_training: 586.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.761, kappa: 0.0242, kb_relative_information_score: -2472.4508, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8023, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1835.7344, usercpu_time_millis: 513.356, usercpu_time_millis_testing: 21.631, usercpu_time_millis_training: 491.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2402.6251, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1849.9572, usercpu_time_millis: 421.462, usercpu_time_millis_testing: 9.367, usercpu_time_millis_training: 412.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2232.6968, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8109, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1051.2174, usercpu_time_millis: 254.098, usercpu_time_millis_testing: 13.726, usercpu_time_millis_training: 240.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7616, kappa: 0.0268, kb_relative_information_score: -2553.0875, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1733.0105, usercpu_time_millis: 263.667, usercpu_time_millis_testing: 6.64, usercpu_time_millis_training: 257.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.7551, kb_relative_information_score: -3687.1526, 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: 0.9685, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.981, scimark_benchmark: 1202.9673, usercpu_time_millis: 217.962, usercpu_time_millis_testing: 11.363, usercpu_time_millis_training: 206.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7713, kappa: 0.0678, kb_relative_information_score: -3335.0415, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1065.34, usercpu_time_millis: 145.72, usercpu_time_millis_testing: 3.591, usercpu_time_millis_training: 142.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7551, kb_relative_information_score: -2324.5294, 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: 0.9853, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1222.4757, usercpu_time_millis: 107.806, usercpu_time_millis_testing: 7.219, usercpu_time_millis_training: 100.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.665, 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: 1076.2958, usercpu_time_millis: 103.549, usercpu_time_millis_testing: 13.221, usercpu_time_millis_training: 90.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7562, kappa: 0.0045, kb_relative_information_score: -2245.658, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1848.388, usercpu_time_millis: 86.455, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 83.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.7551, kb_relative_information_score: -1383.678, mean_absolute_error: 0.2766, 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: 0.9876, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1846.9558, usercpu_time_millis: 73.552, usercpu_time_millis_testing: 8.682, usercpu_time_millis_training: 64.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.7551, kb_relative_information_score: -2178.0538, 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: 0.9847, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1846.8212, usercpu_time_millis: 41.512, usercpu_time_millis_testing: 3.338, usercpu_time_millis_training: 38.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.7551, kb_relative_information_score: -3268.468, mean_absolute_error: 0.273, 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: 0.9745, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1844.9435, usercpu_time_millis: 29.777, usercpu_time_millis_testing: 2.052, usercpu_time_millis_training: 27.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.8399, 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: 1845.7835, usercpu_time_millis: 10.756, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 8.873,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7607, kappa: 0.023, kb_relative_information_score: -2524.761, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1732.4384, usercpu_time_millis: 153.08, usercpu_time_millis_testing: 7.746, usercpu_time_millis_training: 145.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7556, kappa: 0.0018, kb_relative_information_score: -2463.728, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7649, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1841.7343, usercpu_time_millis: 118.508, usercpu_time_millis_testing: 4.527, usercpu_time_millis_training: 113.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.7551, kb_relative_information_score: -2186.9829, 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: 0.9848, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1851.4874, usercpu_time_millis: 99.404, usercpu_time_millis_testing: 8.686, usercpu_time_millis_training: 90.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7551, kb_relative_information_score: -1989.0464, mean_absolute_error: 0.2697, 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: 0.9629, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1850.5803, usercpu_time_millis: 97.189, usercpu_time_millis_testing: 6.085, usercpu_time_millis_training: 91.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.6991, 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: 1846.3057, usercpu_time_millis: 76.743, usercpu_time_millis_testing: 8.105, usercpu_time_millis_training: 68.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -29.712, 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: 1720.0585, usercpu_time_millis: 76.33, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 70.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.7551, kb_relative_information_score: -2821.8354, 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: 0.3654, root_relative_squared_error: 0.9763, scimark_benchmark: 1852.9259, usercpu_time_millis: 47.557, usercpu_time_millis_testing: 1.839, usercpu_time_millis_training: 45.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.77, kappa: 0.0626, kb_relative_information_score: -2441.4601, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7916, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1732.0396, usercpu_time_millis: 45.694, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.7652, 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: 1840.7617, usercpu_time_millis: 32.786, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 27.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7551, kb_relative_information_score: -2298.2409, 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: 0.9847, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9888, scimark_benchmark: 1842.3188, usercpu_time_millis: 26.235, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 24.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7551, kb_relative_information_score: -1384.7098, mean_absolute_error: 0.2768, 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: 0.988, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9898, scimark_benchmark: 1843.8403, usercpu_time_millis: 9.425, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 8.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7609, kappa: 0.0238, kb_relative_information_score: -2470.0984, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1858.6775, usercpu_time_millis: 506.96, usercpu_time_millis_testing: 13.966, usercpu_time_millis_training: 492.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2497.6045, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1709.9717, usercpu_time_millis: 382.492, usercpu_time_millis_testing: 26.341, usercpu_time_millis_training: 356.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7674, kappa: 0.0515, kb_relative_information_score: -2358.754, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1726.7725, usercpu_time_millis: 356.899, usercpu_time_millis_testing: 4.948, usercpu_time_millis_training: 351.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7551, kb_relative_information_score: -1884.7752, 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: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1848.388, usercpu_time_millis: 282.999, usercpu_time_millis_testing: 19.185, usercpu_time_millis_training: 263.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7669, kappa: 0.0491, kb_relative_information_score: -2629.0516, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1854.4431, usercpu_time_millis: 233.57, usercpu_time_millis_testing: 6.423, usercpu_time_millis_training: 227.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3358.9512, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9792, scimark_benchmark: 1858.0974, usercpu_time_millis: 218.915, usercpu_time_millis_testing: 10.094, usercpu_time_millis_training: 208.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.7553, kappa: 0.0009, kb_relative_information_score: -2671.6377, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1852.859, usercpu_time_millis: 209.215, usercpu_time_millis_testing: 11.558, usercpu_time_millis_training: 197.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.7551, kb_relative_information_score: -4021.2867, mean_absolute_error: 0.2725, 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: 0.9729, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9853, scimark_benchmark: 1727.1069, usercpu_time_millis: 144.675, usercpu_time_millis_testing: 8.758, usercpu_time_millis_training: 135.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7719, kappa: 0.0708, kb_relative_information_score: -4087.5421, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1728.9285, usercpu_time_millis: 109.977, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 105.65,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7551, kb_relative_information_score: -1860.0292, mean_absolute_error: 0.2732, 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: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9808, scimark_benchmark: 1851.1348, usercpu_time_millis: 94.53, usercpu_time_millis_testing: 7.344, usercpu_time_millis_training: 87.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.7551, kb_relative_information_score: -2021.9684, mean_absolute_error: 0.2756, 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: 0.984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1726.8195, usercpu_time_millis: 89.115, usercpu_time_millis_testing: 10.49, usercpu_time_millis_training: 78.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: -1853.6886, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8239, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1831.7266, usercpu_time_millis: 77.481, usercpu_time_millis_testing: 4.429, usercpu_time_millis_training: 73.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7551, kb_relative_information_score: -2259.4728, mean_absolute_error: 0.2739, 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: 0.9777, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1730.2773, usercpu_time_millis: 11.608, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 10.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2432.4898, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1730.7008, usercpu_time_millis: 394.848, usercpu_time_millis_testing: 20.37, usercpu_time_millis_training: 374.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7596, kappa: 0.0184, kb_relative_information_score: -2435.3569, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1829.4977, usercpu_time_millis: 292.018, usercpu_time_millis_testing: 16.3, usercpu_time_millis_training: 275.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7551, kb_relative_information_score: -2621.3869, mean_absolute_error: 0.2706, 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: 0.9661, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9768, scimark_benchmark: 1702.5135, usercpu_time_millis: 217.179, usercpu_time_millis_testing: 12.476, usercpu_time_millis_training: 204.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7556, kappa: 0.0019, kb_relative_information_score: -2506.8069, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7603, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1854.568, usercpu_time_millis: 186.511, usercpu_time_millis_testing: 5.813, usercpu_time_millis_training: 180.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1864.3804, mean_absolute_error: 0.2679, 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: 0.9563, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1854.1097, usercpu_time_millis: 158.211, usercpu_time_millis_testing: 10.049, usercpu_time_millis_training: 148.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -2525.3575, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.766, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1852.0126, usercpu_time_millis: 139.523, usercpu_time_millis_testing: 5.109, usercpu_time_millis_training: 134.414,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs