Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 1910 Supervised Classification page-blocks 161 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9647, kappa: 0.8143, kb_relative_information_score: 38964.7716, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9644, predictive_accuracy: 0.9663, prior_entropy: 0.6391, recall: 0.9663, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.5584, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9595, kappa: 0.7847, kb_relative_information_score: 37404.7804, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9586, predictive_accuracy: 0.9609, prior_entropy: 0.6391, recall: 0.9609, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.5628, scimark_benchmark: 851.2074, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9421, kappa: 0.7138, kb_relative_information_score: 32420.9156, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9539, predictive_accuracy: 0.9356, prior_entropy: 0.6391, recall: 0.9356, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.754, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9722, kappa: 0.854, kb_relative_information_score: 42477.8445, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.972, predictive_accuracy: 0.973, prior_entropy: 0.6391, recall: 0.973, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.092, root_relative_squared_error: 0.472, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 931.771, usercpu_time_millis: 2250, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.882, kappa: 0.2693, kb_relative_information_score: 18068.9535, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8833, predictive_accuracy: 0.9123, prior_entropy: 0.6391, recall: 0.9123, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.9611, scimark_benchmark: 932.438, usercpu_time_millis: 28940, usercpu_time_millis_testing: 2580, usercpu_time_millis_training: 26360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9676, kappa: 0.8294, kb_relative_information_score: 39445.4896, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9672, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5314, scimark_benchmark: 947.1781, usercpu_time_millis: 3890, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 943.1009, usercpu_time_millis: 2240, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9647, kappa: 0.8143, kb_relative_information_score: 38964.7716, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9644, predictive_accuracy: 0.9663, prior_entropy: 0.6391, recall: 0.9663, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.5584, scimark_benchmark: 819.5729, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9595, kappa: 0.7847, kb_relative_information_score: 37404.7804, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9586, predictive_accuracy: 0.9609, prior_entropy: 0.6391, recall: 0.9609, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.5628, scimark_benchmark: 608.4057, usercpu_time_millis: 2260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.882, kappa: 0.2693, kb_relative_information_score: 18068.9535, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8833, predictive_accuracy: 0.9123, prior_entropy: 0.6391, recall: 0.9123, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.9611, scimark_benchmark: 930.404, usercpu_time_millis: 30800, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 28250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9421, kappa: 0.7138, kb_relative_information_score: 32420.9156, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9539, predictive_accuracy: 0.9356, prior_entropy: 0.6391, recall: 0.9356, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.754, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9722, kappa: 0.854, kb_relative_information_score: 42477.8445, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.972, predictive_accuracy: 0.973, prior_entropy: 0.6391, recall: 0.973, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.092, root_relative_squared_error: 0.472, scimark_benchmark: 933.3455, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 936.9595, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9676, kappa: 0.8294, kb_relative_information_score: 39445.4896, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9672, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5314, scimark_benchmark: 936.3213, usercpu_time_millis: 4090, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 936.9595, usercpu_time_millis: 2880, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9762, kappa: 0.8752, kb_relative_information_score: 43263.5738, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9762, predictive_accuracy: 0.9768, prior_entropy: 0.6391, recall: 0.9768, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.4494, scimark_benchmark: 919.3788, usercpu_time_millis: 93410, usercpu_time_millis_testing: 26990, usercpu_time_millis_training: 66420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9762, kappa: 0.8749, kb_relative_information_score: 43171.7415, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.976, predictive_accuracy: 0.9767, prior_entropy: 0.6391, recall: 0.9767, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.088, root_relative_squared_error: 0.4515, scimark_benchmark: 926.5462, usercpu_time_millis: 24220, usercpu_time_millis_testing: 3330, usercpu_time_millis_training: 20890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9757, kappa: 0.8722, kb_relative_information_score: 43184.7929, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9756, predictive_accuracy: 0.9763, prior_entropy: 0.6391, recall: 0.9763, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.4525, scimark_benchmark: 891.6381, usercpu_time_millis: 12210, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 10840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9753, kappa: 0.8701, kb_relative_information_score: 43037.8759, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9751, predictive_accuracy: 0.9759, prior_entropy: 0.6391, recall: 0.9759, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4558, scimark_benchmark: 930.0025, usercpu_time_millis: 6100, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9738, kappa: 0.8626, kb_relative_information_score: 42715.812, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9736, predictive_accuracy: 0.9745, prior_entropy: 0.6391, recall: 0.9745, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4637, scimark_benchmark: 941.9549, usercpu_time_millis: 3260, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9536, kappa: 0.7541, kb_relative_information_score: 35981.3166, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9524, predictive_accuracy: 0.956, prior_entropy: 0.6391, recall: 0.956, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5964, scimark_benchmark: 929.0296, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 18199.4472, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7861, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 18199.4472, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7861, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 18199.4472, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7861, scimark_benchmark: 940.0055, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 18199.4472, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7861, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 24627.7989, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.849, scimark_benchmark: 935.6052, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 11496.4682, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.6391, recall: 0.8977, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0383, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9728, kappa: 0.8573, kb_relative_information_score: 41585.6412, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9726, predictive_accuracy: 0.9732, prior_entropy: 0.6391, recall: 0.9732, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.4786, scimark_benchmark: 924.4107, usercpu_time_millis: 39100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 39050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9722, kappa: 0.854, kb_relative_information_score: 42477.8445, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.972, predictive_accuracy: 0.973, prior_entropy: 0.6391, recall: 0.973, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.092, root_relative_squared_error: 0.472, scimark_benchmark: 1342.9012, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 1342.6744, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9676, kappa: 0.8294, kb_relative_information_score: 39445.4896, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9672, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5314, scimark_benchmark: 1342.6744, usercpu_time_millis: 5250, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.882, kappa: 0.2693, kb_relative_information_score: 18068.9535, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8833, predictive_accuracy: 0.9123, prior_entropy: 0.6391, recall: 0.9123, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.9611, scimark_benchmark: 1333.1149, usercpu_time_millis: 94920, usercpu_time_millis_testing: 9190, usercpu_time_millis_training: 85730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 1348.1311, usercpu_time_millis: 1780, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9731, kappa: 0.8591, kb_relative_information_score: 42664.5812, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.973, predictive_accuracy: 0.9739, prior_entropy: 0.6391, recall: 0.9739, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.4659, scimark_benchmark: 1353.3951, usercpu_time_millis: 1330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 1260.1387, usercpu_time_millis: 1860, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9742, kappa: 0.864, kb_relative_information_score: 43380.8491, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 0.6391, recall: 0.9748, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.459, scimark_benchmark: 1281.7531, usercpu_time_millis: 2430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9684, kappa: 0.8353, kb_relative_information_score: 42439.9402, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 0.6391, recall: 0.9676, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.517, scimark_benchmark: 1342.6911, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9647, kappa: 0.8143, kb_relative_information_score: 38964.7716, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9644, predictive_accuracy: 0.9663, prior_entropy: 0.6391, recall: 0.9663, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.5584, scimark_benchmark: 1151.6869, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9685, kappa: 0.8327, kb_relative_information_score: 42519.9833, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9681, predictive_accuracy: 0.9692, prior_entropy: 0.6391, recall: 0.9692, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5317, scimark_benchmark: 1357.5655, usercpu_time_millis: 169820, usercpu_time_millis_testing: 169820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9642, kappa: 0.8116, kb_relative_information_score: 40000.2691, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9637, predictive_accuracy: 0.9655, prior_entropy: 0.6391, recall: 0.9655, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.5711, scimark_benchmark: 1340.1351, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9685, kappa: 0.8356, kb_relative_information_score: 40022.3315, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9694, predictive_accuracy: 0.9708, prior_entropy: 0.6391, recall: 0.9708, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.4865, scimark_benchmark: 1347.5461, usercpu_time_millis: 770, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.968, kappa: 0.8328, kb_relative_information_score: 39884.8925, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9689, predictive_accuracy: 0.9704, prior_entropy: 0.6391, recall: 0.9704, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.4897, scimark_benchmark: 1249.4068, usercpu_time_millis: 540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9647, kappa: 0.8143, kb_relative_information_score: 38964.7716, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9644, predictive_accuracy: 0.9663, prior_entropy: 0.6391, recall: 0.9663, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.5584, scimark_benchmark: 1349.9741, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9687, kappa: 0.8372, kb_relative_information_score: 40183.6589, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9697, predictive_accuracy: 0.9711, prior_entropy: 0.6391, recall: 0.9711, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.4832, scimark_benchmark: 1302.224, usercpu_time_millis: 3610, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.97, kappa: 0.8418, kb_relative_information_score: 43031.6208, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9696, predictive_accuracy: 0.9705, prior_entropy: 0.6391, recall: 0.9705, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.5018, scimark_benchmark: 1343.5291, usercpu_time_millis: 6810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9732, kappa: 0.8595, kb_relative_information_score: 42776.7043, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9731, predictive_accuracy: 0.974, prior_entropy: 0.6391, recall: 0.974, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4631, scimark_benchmark: 1320.9366, usercpu_time_millis: 6070, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 5790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9714, kappa: 0.8498, kb_relative_information_score: 43717.4248, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9715, predictive_accuracy: 0.9713, prior_entropy: 0.6391, recall: 0.9713, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4882, scimark_benchmark: 1339.4964, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9674, kappa: 0.8281, kb_relative_information_score: 40941.898, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9671, predictive_accuracy: 0.9682, prior_entropy: 0.6391, recall: 0.9682, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.5125, scimark_benchmark: 1337.0272, usercpu_time_millis: 19610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 17794.36, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.8067, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.882, kappa: 0.2693, kb_relative_information_score: 18068.9535, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8833, predictive_accuracy: 0.9123, prior_entropy: 0.6391, recall: 0.9123, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.9611, scimark_benchmark: 1334.2813, usercpu_time_millis: 129040, usercpu_time_millis_testing: 14010, usercpu_time_millis_training: 115030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 19889.1346, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.7986, scimark_benchmark: 1064.8317, usercpu_time_millis: 81020, usercpu_time_millis_testing: 81020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9589, kappa: 0.7797, kb_relative_information_score: 38711.5601, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9584, predictive_accuracy: 0.9598, prior_entropy: 0.6391, recall: 0.9598, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6509, scimark_benchmark: 1316.8289, usercpu_time_millis: 5170, usercpu_time_millis_testing: 5170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9578, kappa: 0.7743, kb_relative_information_score: 37892.4279, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9589, predictive_accuracy: 0.9616, prior_entropy: 0.6391, recall: 0.9616, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.636, scimark_benchmark: 1345.4669, usercpu_time_millis: 5500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9702, kappa: 0.8438, kb_relative_information_score: 41498.8513, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0762, number_of_instances: 54730, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.6391, recall: 0.9703, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.5269, scimark_benchmark: 1320.2717, usercpu_time_millis: 570, usercpu_time_millis_training: 570,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs