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: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1780.8879, usercpu_time_millis: 25.467, usercpu_time_millis_testing: 25.284, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1787.5483, usercpu_time_millis: 25.043, usercpu_time_millis_testing: 24.74, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7685, kappa: 0.0612, kb_relative_information_score: -4492.4894, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.824, prior_entropy: 0.6541, recall: 0.824, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0109, scimark_benchmark: 1785.103, usercpu_time_millis: 24.2, usercpu_time_millis_testing: 24.005, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1781.7302, usercpu_time_millis: 22.109, usercpu_time_millis_testing: 21.912, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1738.3274, usercpu_time_millis: 23.494, usercpu_time_millis_testing: 23.191, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1901.3592, usercpu_time_millis: 19.479, usercpu_time_millis_testing: 19.166, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1782.2198, usercpu_time_millis: 25.581, usercpu_time_millis_testing: 25.382, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1902.8097, usercpu_time_millis: 21.037, usercpu_time_millis_testing: 20.855, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433, scimark_benchmark: 1731.0556, usercpu_time_millis: 21.813, usercpu_time_millis_testing: 21.621, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.7681, kappa: 0.059, kb_relative_information_score: -4398.0346, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7594, predictive_accuracy: 0.8249, prior_entropy: 0.6541, recall: 0.8249, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0088, scimark_benchmark: 1907.9004, usercpu_time_millis: 22.796, usercpu_time_millis_testing: 22.616, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1734.6706, usercpu_time_millis: 22.114, usercpu_time_millis_testing: 21.92, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1902.325, usercpu_time_millis: 23.142, usercpu_time_millis_testing: 22.95, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1896.9491, usercpu_time_millis: 23.114, usercpu_time_millis_testing: 22.923, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227, scimark_benchmark: 1730.1903, usercpu_time_millis: 23.99, usercpu_time_millis_testing: 23.799, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1729.7989, usercpu_time_millis: 24.563, usercpu_time_millis_testing: 24.386, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.7681, kappa: 0.059, kb_relative_information_score: -4398.0346, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7594, predictive_accuracy: 0.8249, prior_entropy: 0.6541, recall: 0.8249, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0088, scimark_benchmark: 1733.7613, usercpu_time_millis: 25.298, usercpu_time_millis_testing: 25.095, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1732.0988, usercpu_time_millis: 22.65, usercpu_time_millis_testing: 22.455, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052, scimark_benchmark: 1734.3333, usercpu_time_millis: 25.399, usercpu_time_millis_testing: 25.194, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1738.3274, usercpu_time_millis: 21.71, usercpu_time_millis_testing: 21.385, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1731.5618, usercpu_time_millis: 26.282, usercpu_time_millis_testing: 26.077, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433, scimark_benchmark: 1850.2875, usercpu_time_millis: 20.838, usercpu_time_millis_testing: 20.659, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7649, kappa: 0.0426, kb_relative_information_score: -3959.6336, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9988, scimark_benchmark: 1732.4995, usercpu_time_millis: 26.016, usercpu_time_millis_testing: 25.682, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1731.0404, usercpu_time_millis: 23.402, usercpu_time_millis_testing: 23.21, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1732.5611, usercpu_time_millis: 26.34, usercpu_time_millis_testing: 26.142, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1732.9618, usercpu_time_millis: 22.9, usercpu_time_millis_testing: 22.715, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132, scimark_benchmark: 1854.4431, usercpu_time_millis: 23.406, usercpu_time_millis_testing: 23.203, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7685, kappa: 0.0612, kb_relative_information_score: -4492.4894, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.824, prior_entropy: 0.6541, recall: 0.824, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0109, scimark_benchmark: 1853.9849, usercpu_time_millis: 23.631, usercpu_time_millis_testing: 23.434, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1854.4951, usercpu_time_millis: 22.752, usercpu_time_millis_testing: 22.551, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1781.2022, usercpu_time_millis: 23.622, usercpu_time_millis_testing: 23.439, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1732.5611, usercpu_time_millis: 21.724, usercpu_time_millis_testing: 21.373, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1853.9121, usercpu_time_millis: 19.982, usercpu_time_millis_testing: 19.676, usercpu_time_millis_training: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1738.3274, usercpu_time_millis: 24.368, usercpu_time_millis_testing: 24.179, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7665, kappa: 0.0502, kb_relative_information_score: -4118.9974, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0023, scimark_benchmark: 1859.6666, usercpu_time_millis: 24.208, usercpu_time_millis_testing: 24.005, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1858.6775, usercpu_time_millis: 22.102, usercpu_time_millis_testing: 21.896, usercpu_time_millis_training: 0.206,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1853.9849, usercpu_time_millis: 24.253, usercpu_time_millis_testing: 24.067, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -6230.8892, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.1299, scimark_benchmark: 1853.9121, usercpu_time_millis: 21.276, usercpu_time_millis_testing: 21.091, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1735.1328, usercpu_time_millis: 23.003, usercpu_time_millis_testing: 22.825, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1841.5279, usercpu_time_millis: 24.648, usercpu_time_millis_testing: 24.323, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1733.5354, usercpu_time_millis: 23.526, usercpu_time_millis_testing: 23.198, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1735.2934, usercpu_time_millis: 23.899, usercpu_time_millis_testing: 23.707, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1857.0384, usercpu_time_millis: 22.147, usercpu_time_millis_testing: 21.814, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1737.0198, usercpu_time_millis: 25.379, usercpu_time_millis_testing: 25.195, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7665, kappa: 0.0502, kb_relative_information_score: -4118.9974, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0023, scimark_benchmark: 1737.0657, usercpu_time_millis: 25.299, usercpu_time_millis_testing: 25.119, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1857.5664, usercpu_time_millis: 22.85, usercpu_time_millis_testing: 22.656, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132, scimark_benchmark: 1853.9121, usercpu_time_millis: 23.46, usercpu_time_millis_testing: 23.274, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1856.5802, usercpu_time_millis: 20.571, usercpu_time_millis_testing: 20.244, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1846.6923, usercpu_time_millis: 22.106, usercpu_time_millis_testing: 21.914, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1850.3603, usercpu_time_millis: 23.175, usercpu_time_millis_testing: 22.978, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1858.1494, usercpu_time_millis: 21.107, usercpu_time_millis_testing: 20.897, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7665, kappa: 0.0502, kb_relative_information_score: -4118.9974, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0023, scimark_benchmark: 1850.2875, usercpu_time_millis: 24.073, usercpu_time_millis_testing: 23.892, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1852.0126, usercpu_time_millis: 21.237, usercpu_time_millis_testing: 21.053, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1846.6923, usercpu_time_millis: 22.399, usercpu_time_millis_testing: 22.078, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1856.5802, usercpu_time_millis: 21.841, usercpu_time_millis_testing: 21.78, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132, scimark_benchmark: 1850.8185, usercpu_time_millis: 23.448, usercpu_time_millis_testing: 23.252, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1853.0716, usercpu_time_millis: 25.023, usercpu_time_millis_testing: 24.821, usercpu_time_millis_training: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1856.5402, usercpu_time_millis: 22.415, usercpu_time_millis_testing: 22.079, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227, scimark_benchmark: 1855.5541, usercpu_time_millis: 22.847, usercpu_time_millis_testing: 22.664, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038, scimark_benchmark: 1852.0126, usercpu_time_millis: 22.396, usercpu_time_millis_testing: 22.194, usercpu_time_millis_training: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1853.9121, usercpu_time_millis: 20.412, usercpu_time_millis_testing: 20.083, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.7652, kappa: 0.0438, kb_relative_information_score: -4008.8858, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.761, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1859.2084, usercpu_time_millis: 24.268, usercpu_time_millis_testing: 24.073, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1850.2875, usercpu_time_millis: 24.586, usercpu_time_millis_testing: 24.257, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7685, kappa: 0.0612, kb_relative_information_score: -4492.4894, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.824, prior_entropy: 0.6541, recall: 0.824, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0109, scimark_benchmark: 1858.6775, usercpu_time_millis: 23.539, usercpu_time_millis_testing: 23.355, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1849.8294, usercpu_time_millis: 22.381, usercpu_time_millis_testing: 22.037, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1849.3742, usercpu_time_millis: 22.714, usercpu_time_millis_testing: 22.507, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1855.4813, usercpu_time_millis: 22.71, usercpu_time_millis_testing: 22.512, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1857.5664, usercpu_time_millis: 23.138, usercpu_time_millis_testing: 22.961, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.7698, kappa: 0.0688, kb_relative_information_score: -4694.0352, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7586, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0159, scimark_benchmark: 1849.3742, usercpu_time_millis: 23.428, usercpu_time_millis_testing: 23.225, usercpu_time_millis_training: 0.203,

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