Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9424, kappa: 0.7466, kb_relative_information_score: 2074.3991, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9457, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6094, scimark_benchmark: 1843.657, usercpu_time_millis: 696.594, usercpu_time_millis_testing: 12.113, usercpu_time_millis_training: 684.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9307, kappa: 0.6866, kb_relative_information_score: 1739.9025, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9414, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.6759, scimark_benchmark: 1846.2045, usercpu_time_millis: 687.474, usercpu_time_millis_testing: 11.984, usercpu_time_millis_training: 675.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.959, kappa: 0.8232, kb_relative_information_score: 2380.1042, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5292, scimark_benchmark: 1850.8185, usercpu_time_millis: 724.112, usercpu_time_millis_testing: 12.351, usercpu_time_millis_training: 711.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2259.9689, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.534, scimark_benchmark: 1846.7502, usercpu_time_millis: 642.219, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 634.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.923, kappa: 0.649, kb_relative_information_score: 1604.408, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9366, predictive_accuracy: 0.9323, prior_entropy: 0.5848, recall: 0.9323, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.7014, scimark_benchmark: 1835.5512, usercpu_time_millis: 715.282, usercpu_time_millis_testing: 12.684, usercpu_time_millis_training: 702.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9627, kappa: 0.8407, kb_relative_information_score: 2477.7712, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4977, scimark_benchmark: 1842.6679, usercpu_time_millis: 659.305, usercpu_time_millis_testing: 11.776, usercpu_time_millis_training: 647.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9541, kappa: 0.8009, kb_relative_information_score: 2241.0061, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5621, scimark_benchmark: 1738.3274, usercpu_time_millis: 772.811, usercpu_time_millis_testing: 14.195, usercpu_time_millis_training: 758.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9473, kappa: 0.7679, kb_relative_information_score: 2139.5482, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9512, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5925, scimark_benchmark: 1853.454, usercpu_time_millis: 760.984, usercpu_time_millis_testing: 13.344, usercpu_time_millis_training: 747.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9609, kappa: 0.8339, kb_relative_information_score: 2459.7285, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5025, scimark_benchmark: 1810.7217, usercpu_time_millis: 637.15, usercpu_time_millis_testing: 11.547, usercpu_time_millis_training: 625.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.947, kappa: 0.7667, kb_relative_information_score: 2112.1864, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9508, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5985, scimark_benchmark: 1846.8309, usercpu_time_millis: 775.99, usercpu_time_millis_testing: 13.68, usercpu_time_millis_training: 762.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9666, kappa: 0.8558, kb_relative_information_score: 2527.2908, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4787, scimark_benchmark: 1851.3591, usercpu_time_millis: 772.272, usercpu_time_millis_testing: 12.789, usercpu_time_millis_training: 759.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9464, kappa: 0.7623, kb_relative_information_score: 2080.5808, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.5971, scimark_benchmark: 1797.2365, usercpu_time_millis: 754.768, usercpu_time_millis_testing: 12.879, usercpu_time_millis_training: 741.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9408, kappa: 0.7366, kb_relative_information_score: 1958.582, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6347, scimark_benchmark: 1853.454, usercpu_time_millis: 687.313, usercpu_time_millis_testing: 12.244, usercpu_time_millis_training: 675.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9282, kappa: 0.6744, kb_relative_information_score: 1669.7327, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.94, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6848, scimark_benchmark: 1846.727, usercpu_time_millis: 735.744, usercpu_time_millis_testing: 13.211, usercpu_time_millis_training: 722.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9624, kappa: 0.8395, kb_relative_information_score: 2474.7893, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4981, scimark_benchmark: 1853.454, usercpu_time_millis: 693.76, usercpu_time_millis_testing: 11.824, usercpu_time_millis_training: 681.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.955, kappa: 0.8045, kb_relative_information_score: 2270.2415, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9569, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5592, scimark_benchmark: 1851.4743, usercpu_time_millis: 778.645, usercpu_time_millis_testing: 13.876, usercpu_time_millis_training: 764.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9456, kappa: 0.7592, kb_relative_information_score: 2071.7996, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9506, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6082, scimark_benchmark: 1852.9259, usercpu_time_millis: 798.247, usercpu_time_millis_testing: 13.785, usercpu_time_millis_training: 784.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9469, kappa: 0.7662, kb_relative_information_score: 2107.0308, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9509, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6014, scimark_benchmark: 1849.8294, usercpu_time_millis: 793.742, usercpu_time_millis_testing: 14.099, usercpu_time_millis_training: 779.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9512, kappa: 0.7858, kb_relative_information_score: 2219.9327, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5679, scimark_benchmark: 1804.1579, usercpu_time_millis: 776.152, usercpu_time_millis_testing: 13.384, usercpu_time_millis_training: 762.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9413, kappa: 0.7389, kb_relative_information_score: 1974.114, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.6314, scimark_benchmark: 1844.6953, usercpu_time_millis: 706.081, usercpu_time_millis_testing: 12.338, usercpu_time_millis_training: 693.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9581, kappa: 0.8183, kb_relative_information_score: 2345.7222, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5353, scimark_benchmark: 1857.1082, usercpu_time_millis: 792.04, usercpu_time_millis_testing: 14.324, usercpu_time_millis_training: 777.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9499, kappa: 0.7816, kb_relative_information_score: 2184.8209, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5806, scimark_benchmark: 1853.3841, usercpu_time_millis: 735.071, usercpu_time_millis_testing: 13.5, usercpu_time_millis_training: 721.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9445, kappa: 0.754, kb_relative_information_score: 2061.4549, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9497, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.6094, scimark_benchmark: 1851.2486, usercpu_time_millis: 808.464, usercpu_time_millis_testing: 13.813, usercpu_time_millis_training: 794.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9566, kappa: 0.8123, kb_relative_information_score: 2274.8654, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9579, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5556, scimark_benchmark: 1852.6392, usercpu_time_millis: 705.656, usercpu_time_millis_testing: 12.473, usercpu_time_millis_training: 693.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9664, kappa: 0.8552, kb_relative_information_score: 2528.5641, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4821, scimark_benchmark: 1853.9121, usercpu_time_millis: 740.351, usercpu_time_millis_testing: 12.883, usercpu_time_millis_training: 727.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9457, kappa: 0.7602, kb_relative_information_score: 2078.5838, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9503, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6074, scimark_benchmark: 1853.9121, usercpu_time_millis: 804.389, usercpu_time_millis_testing: 14.087, usercpu_time_millis_training: 790.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.9071, kappa: 0.5704, kb_relative_information_score: 1443.6162, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9265, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7384, scimark_benchmark: 1848.2615, usercpu_time_millis: 724.911, usercpu_time_millis_testing: 13.046, usercpu_time_millis_training: 711.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9629, kappa: 0.8419, kb_relative_information_score: 2488.709, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4955, scimark_benchmark: 1850.2875, usercpu_time_millis: 719.696, usercpu_time_millis_testing: 12.782, usercpu_time_millis_training: 706.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9505, kappa: 0.7814, kb_relative_information_score: 2175.0486, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9551, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5762, scimark_benchmark: 1829.6751, usercpu_time_millis: 770.352, usercpu_time_millis_testing: 13.583, usercpu_time_millis_training: 756.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9661, kappa: 0.8539, kb_relative_information_score: 2527.2781, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4825, scimark_benchmark: 1850.2875, usercpu_time_millis: 781.154, usercpu_time_millis_testing: 13.459, usercpu_time_millis_training: 767.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.963, kappa: 0.8425, kb_relative_information_score: 2470.426, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4984, scimark_benchmark: 1812.8098, usercpu_time_millis: 688.887, usercpu_time_millis_testing: 11.704, usercpu_time_millis_training: 677.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9517, kappa: 0.7878, kb_relative_information_score: 2192.6468, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9555, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5729, scimark_benchmark: 1792.8869, usercpu_time_millis: 799.686, usercpu_time_millis_testing: 13.451, usercpu_time_millis_training: 786.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9526, kappa: 0.7914, kb_relative_information_score: 2254.9378, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5474, scimark_benchmark: 1858.0974, usercpu_time_millis: 827.478, usercpu_time_millis_testing: 13.996, usercpu_time_millis_training: 813.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9583, kappa: 0.8192, kb_relative_information_score: 2365.0924, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.5318, scimark_benchmark: 1850.8185, usercpu_time_millis: 717.489, usercpu_time_millis_testing: 12.792, usercpu_time_millis_training: 704.697,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9548, kappa: 0.8037, kb_relative_information_score: 2243.1891, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5616, scimark_benchmark: 1845.779, usercpu_time_millis: 780.887, usercpu_time_millis_testing: 14.204, usercpu_time_millis_training: 766.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9465, kappa: 0.7641, kb_relative_information_score: 2087.8489, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9507, predictive_accuracy: 0.9503, prior_entropy: 0.5848, recall: 0.9503, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6058, scimark_benchmark: 1850.8185, usercpu_time_millis: 870.422, usercpu_time_millis_testing: 14.793, usercpu_time_millis_training: 855.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9421, kappa: 0.7449, kb_relative_information_score: 2059.3159, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9454, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6125, scimark_benchmark: 1853.9849, usercpu_time_millis: 882.514, usercpu_time_millis_testing: 15.622, usercpu_time_millis_training: 866.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9551, kappa: 0.8029, kb_relative_information_score: 2308.2298, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5338, scimark_benchmark: 1849.8294, usercpu_time_millis: 887.617, usercpu_time_millis_testing: 14.225, usercpu_time_millis_training: 873.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.946, kappa: 0.7642, kb_relative_information_score: 2136.711, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.948, predictive_accuracy: 0.9491, prior_entropy: 0.5848, recall: 0.9491, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.5901, scimark_benchmark: 1857.1082, usercpu_time_millis: 884.314, usercpu_time_millis_testing: 16.104, usercpu_time_millis_training: 868.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9499, kappa: 0.7816, kb_relative_information_score: 2184.5227, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5809, scimark_benchmark: 1851.3986, usercpu_time_millis: 847.03, usercpu_time_millis_testing: 15.452, usercpu_time_millis_training: 831.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9663, kappa: 0.8546, kb_relative_information_score: 2529.4838, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4785, scimark_benchmark: 1846.6923, usercpu_time_millis: 875.104, usercpu_time_millis_testing: 14.908, usercpu_time_millis_training: 860.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9351, kappa: 0.7084, kb_relative_information_score: 1908.5147, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9439, predictive_accuracy: 0.9414, prior_entropy: 0.5848, recall: 0.9414, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.639, scimark_benchmark: 1853.9121, usercpu_time_millis: 875.375, usercpu_time_millis_testing: 15.419, usercpu_time_millis_training: 859.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9419, kappa: 0.7433, kb_relative_information_score: 2023.4924, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.6235, scimark_benchmark: 1848.7304, usercpu_time_millis: 845.668, usercpu_time_millis_testing: 14.901, usercpu_time_millis_training: 830.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9671, kappa: 0.8585, kb_relative_information_score: 2526.8522, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4806, scimark_benchmark: 1853.9121, usercpu_time_millis: 873.239, usercpu_time_millis_testing: 15.351, usercpu_time_millis_training: 857.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9553, kappa: 0.8049, kb_relative_information_score: 2309.6021, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.5442, scimark_benchmark: 1853.5297, usercpu_time_millis: 822.523, usercpu_time_millis_testing: 14.772, usercpu_time_millis_training: 807.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9351, kappa: 0.7084, kb_relative_information_score: 1903.5378, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9439, predictive_accuracy: 0.9414, prior_entropy: 0.5848, recall: 0.9414, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6393, scimark_benchmark: 1847.039, usercpu_time_millis: 835.168, usercpu_time_millis_testing: 14.918, usercpu_time_millis_training: 820.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9475, kappa: 0.7694, kb_relative_information_score: 2143.514, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5925, scimark_benchmark: 1849.8294, usercpu_time_millis: 794.966, usercpu_time_millis_testing: 13.658, usercpu_time_millis_training: 781.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9664, kappa: 0.8552, kb_relative_information_score: 2538.9215, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4789, scimark_benchmark: 1852.355, usercpu_time_millis: 836.397, usercpu_time_millis_testing: 14.668, usercpu_time_millis_training: 821.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9596, kappa: 0.828, kb_relative_information_score: 2392.3973, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5052, scimark_benchmark: 1852.0126, usercpu_time_millis: 930.596, usercpu_time_millis_testing: 15.368, usercpu_time_millis_training: 915.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.8628, kappa: 0.3466, kb_relative_information_score: 366.2575, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8991, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.8789, scimark_benchmark: 1853.9121, usercpu_time_millis: 909.586, usercpu_time_millis_testing: 16.277, usercpu_time_millis_training: 893.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9419, kappa: 0.7433, kb_relative_information_score: 2020.2572, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.624, scimark_benchmark: 1849.0944, usercpu_time_millis: 799.173, usercpu_time_millis_testing: 13.796, usercpu_time_millis_training: 785.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9475, kappa: 0.7674, kb_relative_information_score: 2089.4659, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.953, predictive_accuracy: 0.9515, prior_entropy: 0.5848, recall: 0.9515, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5948, scimark_benchmark: 1853.9121, usercpu_time_millis: 895.938, usercpu_time_millis_testing: 15.582, usercpu_time_millis_training: 880.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9499, kappa: 0.7816, kb_relative_information_score: 2183.6034, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5814, scimark_benchmark: 1854.568, usercpu_time_millis: 875.658, usercpu_time_millis_testing: 15.572, usercpu_time_millis_training: 860.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9551, kappa: 0.8053, kb_relative_information_score: 2275.3197, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5579, scimark_benchmark: 1851.8567, usercpu_time_millis: 894.258, usercpu_time_millis_testing: 15.935, usercpu_time_millis_training: 878.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9667, kappa: 0.857, kb_relative_information_score: 2527.0905, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4817, scimark_benchmark: 1853.3841, usercpu_time_millis: 824.186, usercpu_time_millis_testing: 13.848, usercpu_time_millis_training: 810.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9496, kappa: 0.7799, kb_relative_information_score: 2185.7623, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5822, scimark_benchmark: 1846.6923, usercpu_time_millis: 929.19, usercpu_time_millis_testing: 16.361, usercpu_time_millis_training: 912.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9347, kappa: 0.7066, kb_relative_information_score: 1893.8989, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9436, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.6413, scimark_benchmark: 1858.0974, usercpu_time_millis: 932.531, usercpu_time_millis_testing: 16.71, usercpu_time_millis_training: 915.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9307, kappa: 0.6866, kb_relative_information_score: 1739.5407, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9414, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.6758, scimark_benchmark: 1802.0128, usercpu_time_millis: 819.03, usercpu_time_millis_testing: 14.752, usercpu_time_millis_training: 804.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9226, kappa: 0.647, kb_relative_information_score: 1587.3807, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9363, predictive_accuracy: 0.932, prior_entropy: 0.5848, recall: 0.932, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7026, scimark_benchmark: 1845.208, usercpu_time_millis: 862.363, usercpu_time_millis_testing: 15.54, usercpu_time_millis_training: 846.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.9424, kappa: 0.7432, kb_relative_information_score: 1974.4119, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9472, prior_entropy: 0.5848, recall: 0.9472, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.217, root_relative_squared_error: 0.6254, scimark_benchmark: 1729.3908, usercpu_time_millis: 895.923, usercpu_time_millis_testing: 15.758, usercpu_time_millis_training: 880.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9539, kappa: 0.7984, kb_relative_information_score: 2274.4509, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5542, scimark_benchmark: 1850.2875, usercpu_time_millis: 931.233, usercpu_time_millis_testing: 15.913, usercpu_time_millis_training: 915.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.9451, kappa: 0.7564, kb_relative_information_score: 2038.6219, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9506, predictive_accuracy: 0.9494, prior_entropy: 0.5848, recall: 0.9494, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6127, scimark_benchmark: 1796.5147, usercpu_time_millis: 825.118, usercpu_time_millis_testing: 14.591, usercpu_time_millis_training: 810.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9589, kappa: 0.8216, kb_relative_information_score: 2340.8747, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5356, scimark_benchmark: 1855.4813, usercpu_time_millis: 891.658, usercpu_time_millis_testing: 15.92, usercpu_time_millis_training: 875.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.939, kappa: 0.7272, kb_relative_information_score: 1960.4792, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9465, predictive_accuracy: 0.9445, prior_entropy: 0.5848, recall: 0.9445, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6293, scimark_benchmark: 1855.4813, usercpu_time_millis: 859.186, usercpu_time_millis_testing: 15.118, usercpu_time_millis_training: 844.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9337, kappa: 0.7009, kb_relative_information_score: 1846.3177, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9438, predictive_accuracy: 0.9405, prior_entropy: 0.5848, recall: 0.9405, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6538, scimark_benchmark: 1735.1328, usercpu_time_millis: 951.685, usercpu_time_millis_testing: 17.191, usercpu_time_millis_training: 934.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 2234.7064, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5654, scimark_benchmark: 1851.4743, usercpu_time_millis: 860.017, usercpu_time_millis_testing: 14.592, usercpu_time_millis_training: 845.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9435, kappa: 0.7503, kb_relative_information_score: 2031.3052, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9477, predictive_accuracy: 0.9475, prior_entropy: 0.5848, recall: 0.9475, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.62, scimark_benchmark: 1854.4431, usercpu_time_millis: 931.892, usercpu_time_millis_testing: 16.688, usercpu_time_millis_training: 915.204,

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