Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3337.826, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1280.6646, usercpu_time_millis: 1018.565, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1018.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -3457.4764, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8155, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1262.8569, usercpu_time_millis: 735.614, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 735.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3373.427, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1250.0843, usercpu_time_millis: 675.639, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 675.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3388.6461, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1279.1897, usercpu_time_millis: 248.183, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 248.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3373.5056, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1273.3307, usercpu_time_millis: 870.773, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 870.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3388.0866, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1253.9479, usercpu_time_millis: 715.602, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 715.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.7551, kb_relative_information_score: -42650.2247, mean_absolute_error: 0.4002, 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: 1.4287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.1096, scimark_benchmark: 1275.8728, usercpu_time_millis: 58.54, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 57.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -2526.3775, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8148, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1276.1349, usercpu_time_millis: 835.42, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 835.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6349, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1270.7404, usercpu_time_millis: 1032.467, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1032.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3396.566, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1242.8475, usercpu_time_millis: 1180.098, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1180.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3313.4185, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1275.0481, usercpu_time_millis: 135.038, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 134.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3273.5566, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1278.9332, usercpu_time_millis: 386.393, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 386.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3445.4776, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1264.3175, usercpu_time_millis: 129.032, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 128.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.3118, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1278.6204, usercpu_time_millis: 593.149, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 593.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7662, kappa: 0.0461, kb_relative_information_score: -1613.5881, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8072, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9569, scimark_benchmark: 1256.9674, usercpu_time_millis: 1546.082, usercpu_time_millis_testing: 24.407, usercpu_time_millis_training: 1521.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7645, kappa: 0.0393, kb_relative_information_score: -1871.4506, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1274.7889, usercpu_time_millis: 867.121, usercpu_time_millis_testing: 13.375, usercpu_time_millis_training: 853.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3400.9927, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1248.4717, usercpu_time_millis: 537.805, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 537.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7623, kappa: 0.0301, kb_relative_information_score: -1831.5076, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7747, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1279.3083, usercpu_time_millis: 815.223, usercpu_time_millis_testing: 13.783, usercpu_time_millis_training: 801.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2875.792, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1251.1791, usercpu_time_millis: 1253.184, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1253.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.7551, kb_relative_information_score: -2846.9086, mean_absolute_error: 0.2799, 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: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1253.4441, usercpu_time_millis: 1241.756, usercpu_time_millis_testing: 17.149, usercpu_time_millis_training: 1224.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3351.4182, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1256.1809, usercpu_time_millis: 294.493, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 294.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3804.0423, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9911, scimark_benchmark: 1253.6929, usercpu_time_millis: 56.511, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 56.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3487.7347, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1272.9116, usercpu_time_millis: 525.091, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 525.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2890.9353, mean_absolute_error: 0.271, 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: 0.9675, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1267.2842, usercpu_time_millis: 900.653, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 900.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3274.4228, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9832, scimark_benchmark: 1275.7977, usercpu_time_millis: 38.606, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 38.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.2004, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1253.309, usercpu_time_millis: 837.038, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 836.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.5766, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.8087, usercpu_time_millis: 810.931, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 810.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2893.4186, mean_absolute_error: 0.271, 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: 0.9675, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1253.0867, usercpu_time_millis: 464.642, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 464.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7849, kappa: 0.1399, kb_relative_information_score: -1841.1348, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7774, predictive_accuracy: 0.8247, prior_entropy: 0.6541, recall: 0.8247, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1260.1036, usercpu_time_millis: 223.05, usercpu_time_millis_testing: 4.16, usercpu_time_millis_training: 218.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.395, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1273.0809, usercpu_time_millis: 250.545, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 250.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3501.6948, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1271.828, usercpu_time_millis: 711.3, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 711.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3467.0814, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1250.5221, usercpu_time_millis: 515.296, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 515.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3457.4131, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1245.8976, usercpu_time_millis: 493.81, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 493.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3353.8919, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1275.6814, usercpu_time_millis: 154.406, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 154.347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1258.6592, usercpu_time_millis: 2.597, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1261.0615, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1248.3754, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.768,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1250.5027, usercpu_time_millis: 1.275, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.241,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1275.6339, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1276.9843, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1251.6167, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1272.2356, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.018,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1274.4919, usercpu_time_millis: 3.652, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1272.0526, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1273.054, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1263.6411, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1253.7532, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1266.4906, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1267.9958, usercpu_time_millis: 1.68, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1247.1267, usercpu_time_millis: 1.634, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1246.7076, usercpu_time_millis: 2.977, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.929,

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