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: 0.6045, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: 156.521, mean_absolute_error: 0.278, 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: 0.9924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1267.8457, usercpu_time_millis: 2557.359, usercpu_time_millis_testing: 15.233, usercpu_time_millis_training: 2542.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: 126.7615, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8188, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9956, scimark_benchmark: 1258.2962, usercpu_time_millis: 2505.591, usercpu_time_millis_testing: 16.577, usercpu_time_millis_training: 2489.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: 134.5441, mean_absolute_error: 0.2781, 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: 0.9927, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9958, scimark_benchmark: 1265.8401, usercpu_time_millis: 2031.815, usercpu_time_millis_testing: 13.508, usercpu_time_millis_training: 2018.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -3362.004, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1259.3777, usercpu_time_millis: 1798.252, usercpu_time_millis_testing: 59.515, usercpu_time_millis_training: 1738.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7745, kappa: 0.0856, kb_relative_information_score: -5073.6557, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7739, predictive_accuracy: 0.8286, prior_entropy: 0.6541, recall: 0.8286, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1260.4493, usercpu_time_millis: 63.107, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 61.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -1842.6279, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8288, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1280.9791, usercpu_time_millis: 205.251, usercpu_time_millis_testing: 11.84, usercpu_time_millis_training: 193.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7732, kappa: 0.0762, kb_relative_information_score: -3693.9542, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1286.6979, usercpu_time_millis: 1030.253, usercpu_time_millis_testing: 17.171, usercpu_time_millis_training: 1013.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7694, kappa: 0.0597, kb_relative_information_score: -3730.1145, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7947, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1294.3345, usercpu_time_millis: 673.317, usercpu_time_millis_testing: 17.702, usercpu_time_millis_training: 655.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7706, kappa: 0.0648, kb_relative_information_score: -3593.6316, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1287.2297, usercpu_time_millis: 2434.377, usercpu_time_millis_testing: 60.724, usercpu_time_millis_training: 2373.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.771, kappa: 0.0664, kb_relative_information_score: -2617.252, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1270.4524, usercpu_time_millis: 183.28, usercpu_time_millis_testing: 7.253, usercpu_time_millis_training: 176.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.772, kappa: 0.071, kb_relative_information_score: -3636.0257, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1284.1961, usercpu_time_millis: 2546.159, usercpu_time_millis_testing: 55.019, usercpu_time_millis_training: 2491.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -1946.0116, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8259, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1283.0149, usercpu_time_millis: 340.155, usercpu_time_millis_testing: 23.038, usercpu_time_millis_training: 317.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.7771, kappa: 0.0963, kb_relative_information_score: -4249.9341, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7803, predictive_accuracy: 0.8305, prior_entropy: 0.6541, recall: 0.8305, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1295.2657, usercpu_time_millis: 2496.607, usercpu_time_millis_testing: 22.269, usercpu_time_millis_training: 2474.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.7797, kappa: 0.11, kb_relative_information_score: -4130.956, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8286, prior_entropy: 0.6541, recall: 0.8286, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1297.1322, usercpu_time_millis: 1939.534, usercpu_time_millis_testing: 16.373, usercpu_time_millis_training: 1923.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -1758.7097, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8219, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1286.4016, usercpu_time_millis: 284.615, usercpu_time_millis_testing: 12.218, usercpu_time_millis_training: 272.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7653, kappa: 0.0423, kb_relative_information_score: -2875.1931, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1293.8652, usercpu_time_millis: 1415.921, usercpu_time_millis_testing: 96.973, usercpu_time_millis_training: 1318.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7783, kappa: 0.0998, kb_relative_information_score: -4027.7009, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7883, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1286.4638, usercpu_time_millis: 1181.607, usercpu_time_millis_testing: 16.109, usercpu_time_millis_training: 1165.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -1786.1318, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8209, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1285.2546, usercpu_time_millis: 142.125, usercpu_time_millis_testing: 7.548, usercpu_time_millis_training: 134.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7763, kappa: 0.0904, kb_relative_information_score: -3592.2501, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7911, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1291.6339, usercpu_time_millis: 2758.388, usercpu_time_millis_testing: 36.242, usercpu_time_millis_training: 2722.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.778, kappa: 0.1009, kb_relative_information_score: -4222.0826, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7797, predictive_accuracy: 0.83, prior_entropy: 0.6541, recall: 0.83, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9773, scimark_benchmark: 1290.4736, usercpu_time_millis: 2342.133, usercpu_time_millis_testing: 23.505, usercpu_time_millis_training: 2318.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7694, kappa: 0.0598, kb_relative_information_score: -3633.1978, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1289.2025, usercpu_time_millis: 4015.816, usercpu_time_millis_testing: 107.897, usercpu_time_millis_training: 3907.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7688, kappa: 0.0569, kb_relative_information_score: -3136.9559, mean_absolute_error: 0.2635, 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: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1274.6828, usercpu_time_millis: 518.625, usercpu_time_millis_testing: 24.428, usercpu_time_millis_training: 494.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -1773.378, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8282, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1288.4212, usercpu_time_millis: 1223.407, usercpu_time_millis_testing: 73.69, usercpu_time_millis_training: 1149.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7746, kappa: 0.0825, kb_relative_information_score: -3557.0751, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7947, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1288.6194, usercpu_time_millis: 2747.945, usercpu_time_millis_testing: 43.884, usercpu_time_millis_training: 2704.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -1910.5513, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8303, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1278.3217, usercpu_time_millis: 958.865, usercpu_time_millis_testing: 68.162, usercpu_time_millis_training: 890.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7752, kappa: 0.0861, kb_relative_information_score: -4113.5584, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7871, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1292.1265, usercpu_time_millis: 410.192, usercpu_time_millis_testing: 6.595, usercpu_time_millis_training: 403.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7701, kappa: 0.0627, kb_relative_information_score: -3710.7704, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1284.4223, usercpu_time_millis: 492.842, usercpu_time_millis_testing: 15.48, usercpu_time_millis_training: 477.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7755, kappa: 0.0883, kb_relative_information_score: -4568.2078, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.781, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9781, scimark_benchmark: 1287.5622, usercpu_time_millis: 138.331, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 136.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7682, kappa: 0.0546, kb_relative_information_score: -3459.932, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1283.7801, usercpu_time_millis: 1121.222, usercpu_time_millis_testing: 49.729, usercpu_time_millis_training: 1071.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7801, kappa: 0.113, kb_relative_information_score: -3786.7264, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7765, predictive_accuracy: 0.8275, prior_entropy: 0.6541, recall: 0.8275, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1294.0858, usercpu_time_millis: 1365.4, usercpu_time_millis_testing: 22.854, usercpu_time_millis_training: 1342.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.0182, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7769, kappa: 0.0929, kb_relative_information_score: -3212.272, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1266.3199, usercpu_time_millis: 484.085, usercpu_time_millis_testing: 12.715, usercpu_time_millis_training: 471.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -1894.7586, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1291.4731, usercpu_time_millis: 140.849, usercpu_time_millis_testing: 8.637, usercpu_time_millis_training: 132.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7703, kappa: 0.0636, kb_relative_information_score: -3720.9444, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1300.6552, usercpu_time_millis: 998.596, usercpu_time_millis_testing: 28.214, usercpu_time_millis_training: 970.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -2055.1867, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8181, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1265.6088, usercpu_time_millis: 179.567, usercpu_time_millis_testing: 13.796, usercpu_time_millis_training: 165.771,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: -1874.6474, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8255, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1273.5459, usercpu_time_millis: 1135.024, usercpu_time_millis_testing: 75.386, usercpu_time_millis_training: 1059.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -3700.3049, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1296.5418, usercpu_time_millis: 1598.979, usercpu_time_millis_testing: 59.021, usercpu_time_millis_training: 1539.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7776, kappa: 0.0963, kb_relative_information_score: -3172.3826, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7922, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1287.1501, usercpu_time_millis: 1208.575, usercpu_time_millis_testing: 29.211, usercpu_time_millis_training: 1179.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7678, kappa: 0.0529, kb_relative_information_score: -3168.6371, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1286.172, usercpu_time_millis: 1666.936, usercpu_time_millis_testing: 85.564, usercpu_time_millis_training: 1581.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: -1798.7262, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8246, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1293.5913, usercpu_time_millis: 421.154, usercpu_time_millis_testing: 25.646, usercpu_time_millis_training: 395.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.779, kappa: 0.1099, kb_relative_information_score: -4160.6936, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7729, predictive_accuracy: 0.8255, prior_entropy: 0.6541, recall: 0.8255, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1291.3523, usercpu_time_millis: 3207.52, usercpu_time_millis_testing: 29.126, usercpu_time_millis_training: 3178.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: -1925.8004, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8262, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1296.2767, usercpu_time_millis: 140.988, usercpu_time_millis_testing: 9.289, usercpu_time_millis_training: 131.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7727, kappa: 0.074, kb_relative_information_score: -3736.7179, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1283.0973, usercpu_time_millis: 683.241, usercpu_time_millis_testing: 15.204, usercpu_time_millis_training: 668.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -1740.851, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8252, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1288.2625, usercpu_time_millis: 336.14, usercpu_time_millis_testing: 16.883, usercpu_time_millis_training: 319.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7726, kappa: 0.0735, kb_relative_information_score: -3616.059, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1289.7792, usercpu_time_millis: 1261.421, usercpu_time_millis_testing: 22.908, usercpu_time_millis_training: 1238.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7765, kappa: 0.0923, kb_relative_information_score: -3629.4428, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7844, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1295.3748, usercpu_time_millis: 526.241, usercpu_time_millis_testing: 11.695, usercpu_time_millis_training: 514.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7697, kappa: 0.0614, kb_relative_information_score: -3839.7195, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1283.3774, usercpu_time_millis: 408.735, usercpu_time_millis_testing: 10.513, usercpu_time_millis_training: 398.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7712, kappa: 0.0674, kb_relative_information_score: -3352.1298, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1301.2203, usercpu_time_millis: 1944.874, usercpu_time_millis_testing: 60.19, usercpu_time_millis_training: 1884.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7727, kappa: 0.0741, kb_relative_information_score: -3499.6759, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1300.5596, usercpu_time_millis: 1914.309, usercpu_time_millis_testing: 49.739, usercpu_time_millis_training: 1864.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7653, kappa: 0.0421, kb_relative_information_score: -2885.7113, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1281.9438, usercpu_time_millis: 952.527, usercpu_time_millis_testing: 63.678, usercpu_time_millis_training: 888.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7772, kappa: 0.0957, kb_relative_information_score: -4144.7637, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7845, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1297.3134, usercpu_time_millis: 3018.219, usercpu_time_millis_testing: 28.903, usercpu_time_millis_training: 2989.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7715, kappa: 0.0689, kb_relative_information_score: -3438.2518, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1293.6027, usercpu_time_millis: 2803.983, usercpu_time_millis_testing: 75.427, usercpu_time_millis_training: 2728.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7777, kappa: 0.0978, kb_relative_information_score: -3964.2169, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7863, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1282.2581, usercpu_time_millis: 1991.199, usercpu_time_millis_testing: 25.58, usercpu_time_millis_training: 1965.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7715, kappa: 0.0688, kb_relative_information_score: -2691.9039, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1286.8822, usercpu_time_millis: 379.198, usercpu_time_millis_testing: 13.005, usercpu_time_millis_training: 366.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7746, kappa: 0.0823, kb_relative_information_score: -3034.5713, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1286.3561, usercpu_time_millis: 1412.044, usercpu_time_millis_testing: 42.145, usercpu_time_millis_training: 1369.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.7798, kappa: 0.1093, kb_relative_information_score: -3907.3543, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7805, predictive_accuracy: 0.8299, prior_entropy: 0.6541, recall: 0.8299, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9797, scimark_benchmark: 1289.1266, usercpu_time_millis: 1465.558, usercpu_time_millis_testing: 16.394, usercpu_time_millis_training: 1449.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7678, kappa: 0.053, kb_relative_information_score: -3156.4854, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1298.3405, usercpu_time_millis: 1456.067, usercpu_time_millis_testing: 76.327, usercpu_time_millis_training: 1379.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7586, kappa: 0.0144, kb_relative_information_score: -1735.31, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8264, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1296.9112, usercpu_time_millis: 536.88, usercpu_time_millis_testing: 27.979, usercpu_time_millis_training: 508.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7723, kappa: 0.0724, kb_relative_information_score: -3709.1144, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7938, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.965, scimark_benchmark: 1291.776, usercpu_time_millis: 1018.468, usercpu_time_millis_testing: 23.623, usercpu_time_millis_training: 994.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.7793, kappa: 0.1056, kb_relative_information_score: -3560.1674, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1286.1241, usercpu_time_millis: 694.447, usercpu_time_millis_testing: 12.899, usercpu_time_millis_training: 681.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.7798, kappa: 0.1112, kb_relative_information_score: -4058.8447, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.777, predictive_accuracy: 0.828, prior_entropy: 0.6541, recall: 0.828, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1272.9989, usercpu_time_millis: 2506, usercpu_time_millis_testing: 24.313, usercpu_time_millis_training: 2481.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1727.4704, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1277.4923, usercpu_time_millis: 404.636, usercpu_time_millis_testing: 21.034, usercpu_time_millis_training: 383.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -104075.7212, mean_absolute_error: 0.8316, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.1684, prior_entropy: 0.6541, recall: 0.1684, relative_absolute_error: 2.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.9119, root_relative_squared_error: 2.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7684, kappa: 0.0558, kb_relative_information_score: -3655.2968, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1296.7089, usercpu_time_millis: 1806.108, usercpu_time_millis_testing: 58.187, usercpu_time_millis_training: 1747.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -1818.22, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8295, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1289.5552, usercpu_time_millis: 1540.128, usercpu_time_millis_testing: 101.451, usercpu_time_millis_training: 1438.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -3578.7067, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1282.1149, usercpu_time_millis: 1084.749, usercpu_time_millis_testing: 20.916, usercpu_time_millis_training: 1063.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -3698.8786, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1291.8602, usercpu_time_millis: 2428.85, usercpu_time_millis_testing: 94.774, usercpu_time_millis_training: 2334.076,

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