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: 0.621, 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: 1845.7835, usercpu_time_millis: 24.432, usercpu_time_millis_testing: 24.23, usercpu_time_millis_training: 0.202,
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: 1857.5664, usercpu_time_millis: 22.735, usercpu_time_millis_testing: 22.545, usercpu_time_millis_training: 0.19,
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: 1849.8294, usercpu_time_millis: 22.574, usercpu_time_millis_testing: 22.366, usercpu_time_millis_training: 0.208,
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: 1848.388, usercpu_time_millis: 23.448, usercpu_time_millis_testing: 23.264, usercpu_time_millis_training: 0.184,
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: 1855.0232, usercpu_time_millis: 23.456, usercpu_time_millis_testing: 23.243, usercpu_time_millis_training: 0.213,
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: 1853.454, usercpu_time_millis: 23.75, usercpu_time_millis_testing: 23.537, usercpu_time_millis_training: 0.213,
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: 1849.8294, usercpu_time_millis: 21.034, usercpu_time_millis_testing: 20.842, usercpu_time_millis_training: 0.192,
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: 1856.5802, usercpu_time_millis: 23.52, usercpu_time_millis_testing: 23.295, usercpu_time_millis_training: 0.225,
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: 1856.5802, usercpu_time_millis: 23.795, usercpu_time_millis_testing: 23.606, usercpu_time_millis_training: 0.189,
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: 1850.4457, usercpu_time_millis: 24.6, usercpu_time_millis_testing: 24.4, usercpu_time_millis_training: 0.2,
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: 1853.3841, usercpu_time_millis: 24.375, usercpu_time_millis_testing: 24.016, usercpu_time_millis_training: 0.359,
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: 1858.0974, usercpu_time_millis: 20.867, usercpu_time_millis_testing: 20.691, usercpu_time_millis_training: 0.176,
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: 1856.5802, usercpu_time_millis: 24.868, usercpu_time_millis_testing: 24.637, usercpu_time_millis_training: 0.231,
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: 1853.3841, usercpu_time_millis: 22.899, usercpu_time_millis_testing: 22.708, usercpu_time_millis_training: 0.191,
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: 1831.2263, usercpu_time_millis: 22.152, usercpu_time_millis_testing: 21.791, usercpu_time_millis_training: 0.361,
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: 1859.1356, usercpu_time_millis: 22.071, usercpu_time_millis_testing: 22.01, usercpu_time_millis_training: 0.061,
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: 22.499, usercpu_time_millis_testing: 22.265, usercpu_time_millis_training: 0.234,
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: 1853.454, usercpu_time_millis: 22.298, usercpu_time_millis_testing: 22.074, usercpu_time_millis_training: 0.224,
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: 1834.4247, usercpu_time_millis: 19.983, usercpu_time_millis_testing: 19.673, usercpu_time_millis_training: 0.31,
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: 1850.8706, usercpu_time_millis: 21.743, usercpu_time_millis_testing: 21.568, usercpu_time_millis_training: 0.175,
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: 1845.3208, usercpu_time_millis: 20.213, usercpu_time_millis_testing: 19.877, usercpu_time_millis_training: 0.336,
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: 1852.5406, usercpu_time_millis: 23.844, usercpu_time_millis_testing: 23.659, usercpu_time_millis_training: 0.185,
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: 1850.4554, usercpu_time_millis: 23.831, usercpu_time_millis_testing: 23.654, usercpu_time_millis_training: 0.177,
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: 1851.8567, usercpu_time_millis: 24.448, usercpu_time_millis_testing: 24.256, usercpu_time_millis_training: 0.192,
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: 1850.8437, usercpu_time_millis: 24.272, usercpu_time_millis_testing: 23.941, usercpu_time_millis_training: 0.331,
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: 1834.5866, usercpu_time_millis: 20.912, usercpu_time_millis_testing: 20.72, usercpu_time_millis_training: 0.192,
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: 1846.89, usercpu_time_millis: 20.915, usercpu_time_millis_testing: 20.717, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1836.5589, usercpu_time_millis: 21.231, usercpu_time_millis_testing: 21.041, usercpu_time_millis_training: 0.19,
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: 1837.1902, usercpu_time_millis: 21.647, usercpu_time_millis_testing: 21.468, usercpu_time_millis_training: 0.179,
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: 1858.6076, usercpu_time_millis: 24.671, usercpu_time_millis_testing: 24.494, usercpu_time_millis_training: 0.177,
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: 1856.6531, usercpu_time_millis: 22.615, usercpu_time_millis_testing: 22.432, usercpu_time_millis_training: 0.183,
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: 1855.5999, usercpu_time_millis: 22.408, usercpu_time_millis_testing: 22.221, usercpu_time_millis_training: 0.187,
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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: 1849.7595, usercpu_time_millis: 24.793, usercpu_time_millis_testing: 24.435, usercpu_time_millis_training: 0.358,
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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: 1853.0566, usercpu_time_millis: 22.7, usercpu_time_millis_testing: 22.527, usercpu_time_millis_training: 0.173,
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: 1849.8073, usercpu_time_millis: 24.651, usercpu_time_millis_testing: 24.465, 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: 1853.3841, usercpu_time_millis: 20.871, usercpu_time_millis_testing: 20.698, usercpu_time_millis_training: 0.173,
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: 1849.3014, usercpu_time_millis: 24.593, usercpu_time_millis_testing: 24.405, usercpu_time_millis_training: 0.188,
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: 1852.4117, usercpu_time_millis: 22.055, usercpu_time_millis_testing: 21.748, usercpu_time_millis_training: 0.307,
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: 1856.6531, usercpu_time_millis: 20.998, usercpu_time_millis_testing: 20.827, usercpu_time_millis_training: 0.171,
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: 1851.827, usercpu_time_millis: 23.899, usercpu_time_millis_testing: 23.714, usercpu_time_millis_training: 0.185,
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: 1853.9121, usercpu_time_millis: 22.69, usercpu_time_millis_testing: 22.504, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.763, kappa: 0.0335, kb_relative_information_score: -3767.3343, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9947, scimark_benchmark: 1844.8764, usercpu_time_millis: 25.114, usercpu_time_millis_testing: 24.921, usercpu_time_millis_training: 0.193,
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: 1858.6076, usercpu_time_millis: 23.906, usercpu_time_millis_testing: 23.728, usercpu_time_millis_training: 0.178,
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: 1856.6543, usercpu_time_millis: 23.882, usercpu_time_millis_testing: 23.694, usercpu_time_millis_training: 0.188,
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: 1848.388, usercpu_time_millis: 22.382, usercpu_time_millis_testing: 22.207, usercpu_time_millis_training: 0.175,
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: 1851.3986, usercpu_time_millis: 24.075, usercpu_time_millis_testing: 23.893, usercpu_time_millis_training: 0.182,
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: 1737.0046, usercpu_time_millis: 23.671, usercpu_time_millis_testing: 23.499, usercpu_time_millis_training: 0.172,
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: 1836.7818, usercpu_time_millis: 24.333, usercpu_time_millis_testing: 24.141, usercpu_time_millis_training: 0.192,
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: 1844.2676, usercpu_time_millis: 22.456, usercpu_time_millis_testing: 22.273, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7681, kappa: 0.0581, kb_relative_information_score: -4312.5161, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0069, scimark_benchmark: 1849.3742, usercpu_time_millis: 23.527, usercpu_time_millis_testing: 23.345, usercpu_time_millis_training: 0.182,
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: 1844.2946, usercpu_time_millis: 21.354, usercpu_time_millis_testing: 21.296, usercpu_time_millis_training: 0.058,
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: 1843.7454, usercpu_time_millis: 22.998, usercpu_time_millis_testing: 22.803, usercpu_time_millis_training: 0.195,
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: 1847.3406, usercpu_time_millis: 24.35, usercpu_time_millis_testing: 24.01, usercpu_time_millis_training: 0.34,
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: 1853.454, usercpu_time_millis: 22.872, usercpu_time_millis_testing: 22.694, usercpu_time_millis_training: 0.178,
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: 1847.3406, usercpu_time_millis: 22.381, usercpu_time_millis_testing: 22.011, usercpu_time_millis_training: 0.37,
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: 1840.3774, usercpu_time_millis: 21.77, usercpu_time_millis_testing: 21.549, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1729.728, usercpu_time_millis: 22.656, usercpu_time_millis_testing: 22.479, usercpu_time_millis_training: 0.177,
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: 1851.4874, usercpu_time_millis: 23.566, usercpu_time_millis_testing: 23.383, usercpu_time_millis_training: 0.183,
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: 1850.2875, usercpu_time_millis: 22.942, usercpu_time_millis_testing: 22.757, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1730.8446, usercpu_time_millis: 25.551, usercpu_time_millis_testing: 25.361, usercpu_time_millis_training: 0.19,
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: 1839.5885, usercpu_time_millis: 21.412, usercpu_time_millis_testing: 21.355, usercpu_time_millis_training: 0.057,
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: 1849.3014, usercpu_time_millis: 24.117, usercpu_time_millis_testing: 23.806, usercpu_time_millis_training: 0.311,
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: 1851.8968, usercpu_time_millis: 22.163, usercpu_time_millis_testing: 21.85, usercpu_time_millis_training: 0.313,
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: 1857.5664, usercpu_time_millis: 23.458, usercpu_time_millis_testing: 23.274, usercpu_time_millis_training: 0.184,
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: 1735.1968, usercpu_time_millis: 24.886, usercpu_time_millis_testing: 24.708, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7681, kappa: 0.0581, kb_relative_information_score: -4312.5161, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0069, scimark_benchmark: 1855.0232, usercpu_time_millis: 23.303, usercpu_time_millis_testing: 23.126, usercpu_time_millis_training: 0.177,

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