OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 1894 Supervised Classification mfeat-fourier 170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7315, kappa: 0.7127, kb_relative_information_score: 14418.1031, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7332, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256, scimark_benchmark: 851.2074, usercpu_time_millis: 9240, usercpu_time_millis_training: 9240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 931.771, usercpu_time_millis: 8840, usercpu_time_millis_testing: 4990, usercpu_time_millis_training: 3850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 941.6675, usercpu_time_millis: 13290, usercpu_time_millis_testing: 7200, usercpu_time_millis_training: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 941.6675, usercpu_time_millis: 500, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 941.6675, usercpu_time_millis: 470, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.796, kappa: 0.7739, kb_relative_information_score: 15702.8746, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 3.3219, recall: 0.7966, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542, scimark_benchmark: 941.6675, usercpu_time_millis: 1440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 931.771, usercpu_time_millis: 2010, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 941.3847, usercpu_time_millis: 8320, usercpu_time_millis_testing: 4570, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.772, kappa: 0.7481, kb_relative_information_score: 15658.25, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7746, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 941.3847, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 974.2014, usercpu_time_millis: 800, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6815, kappa: 0.6459, kb_relative_information_score: 12880.7991, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6835, predictive_accuracy: 0.6813, prior_entropy: 3.3219, recall: 0.6813, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7387, scimark_benchmark: 974.2014, usercpu_time_millis: 229960, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 228350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 943.1009, usercpu_time_millis: 2150, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 819.5729, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 730.6551, usercpu_time_millis: 19570, usercpu_time_millis_testing: 12260, usercpu_time_millis_training: 7310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.772, kappa: 0.7481, kb_relative_information_score: 15658.25, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7746, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 930.404, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 938.1282, usercpu_time_millis: 500, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 930.404, usercpu_time_millis: 600, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 933.3455, usercpu_time_millis: 620, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.796, kappa: 0.7739, kb_relative_information_score: 15702.8746, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 3.3219, recall: 0.7966, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542, scimark_benchmark: 941.4991, usercpu_time_millis: 1350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 932.438, usercpu_time_millis: 510, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 1051.249, usercpu_time_millis: 2580, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.839, kappa: 0.8221, kb_relative_information_score: 15592.0321, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8392, predictive_accuracy: 0.8399, prior_entropy: 3.3219, recall: 0.8399, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239, scimark_benchmark: 819.5729, usercpu_time_millis: 145700, usercpu_time_millis_testing: 39780, usercpu_time_millis_training: 105920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8368, kappa: 0.8195, kb_relative_information_score: 15589.8999, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8371, predictive_accuracy: 0.8376, prior_entropy: 3.3219, recall: 0.8376, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5256, scimark_benchmark: 938.4601, usercpu_time_millis: 73270, usercpu_time_millis_testing: 21380, usercpu_time_millis_training: 51890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8367, kappa: 0.8192, kb_relative_information_score: 15560.8149, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8371, predictive_accuracy: 0.8373, prior_entropy: 3.3219, recall: 0.8373, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.53, scimark_benchmark: 899.0468, usercpu_time_millis: 35090, usercpu_time_millis_testing: 9190, usercpu_time_millis_training: 25900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8312, kappa: 0.8134, kb_relative_information_score: 15494.3192, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8314, predictive_accuracy: 0.8321, prior_entropy: 3.3219, recall: 0.8321, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5391, scimark_benchmark: 942.5233, usercpu_time_millis: 16490, usercpu_time_millis_testing: 2860, usercpu_time_millis_training: 13630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.817, kappa: 0.7975, kb_relative_information_score: 15376.6062, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8169, predictive_accuracy: 0.8178, prior_entropy: 3.3219, recall: 0.8178, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5569, scimark_benchmark: 935.6052, usercpu_time_millis: 8140, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 7150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.5913, kappa: 0.5624, kb_relative_information_score: 10138.7759, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5902, predictive_accuracy: 0.6062, prior_entropy: 3.3219, recall: 0.6062, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.793, scimark_benchmark: 941.9549, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 1176.3652, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, 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: 0.9736, f_measure: 0.8131, kappa: 0.7931, kb_relative_information_score: 14825.3292, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8138, predictive_accuracy: 0.8138, prior_entropy: 3.3219, recall: 0.8138, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5732, scimark_benchmark: 936.7184, usercpu_time_millis: 33990, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 33920,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1375.1578, usercpu_time_millis: 330, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1330.2425, usercpu_time_millis: 470, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.796, kappa: 0.7739, kb_relative_information_score: 15702.8746, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 3.3219, recall: 0.7966, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542, scimark_benchmark: 1314.1215, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 1350.1007, usercpu_time_millis: 2220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1260.1387, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1326.3935, usercpu_time_millis: 340, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 1343.3311, usercpu_time_millis: 1850, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.825, kappa: 0.8065, kb_relative_information_score: 16650.2659, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8252, predictive_accuracy: 0.8259, prior_entropy: 3.3219, recall: 0.8259, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57, scimark_benchmark: 1316.2665, usercpu_time_millis: 55150, usercpu_time_millis_testing: 46040, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 1304.2593, usercpu_time_millis: 11770, usercpu_time_millis_testing: 8370, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1354.3488, usercpu_time_millis: 390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.772, kappa: 0.7481, kb_relative_information_score: 15658.25, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7746, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 1322.7257, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6815, kappa: 0.6459, kb_relative_information_score: 12880.7991, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6835, predictive_accuracy: 0.6813, prior_entropy: 3.3219, recall: 0.6813, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7387, scimark_benchmark: 942.9708, usercpu_time_millis: 149800, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 149270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 1326.8946, usercpu_time_millis: 1910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 1320.9387, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1288.1375, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.796, kappa: 0.7739, kb_relative_information_score: 15702.8746, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 3.3219, recall: 0.7966, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542, scimark_benchmark: 918.0213, usercpu_time_millis: 1410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6815, kappa: 0.6459, kb_relative_information_score: 12880.7991, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6835, predictive_accuracy: 0.6813, prior_entropy: 3.3219, recall: 0.6813, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7387, scimark_benchmark: 918.0213, usercpu_time_millis: 143660, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 143160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 1261.7298, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1345.7204, usercpu_time_millis: 360, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1347.917, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.4991, kappa: 0.4982, kb_relative_information_score: 6215.9045, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6124, predictive_accuracy: 0.5484, prior_entropy: 3.3219, recall: 0.5484, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9197, scimark_benchmark: 1334.6745, usercpu_time_millis: 273110, usercpu_time_millis_testing: 273110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 933.1165, usercpu_time_millis: 460, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.6224, kappa: 0.5808, kb_relative_information_score: 12201.8487, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6224, predictive_accuracy: 0.6227, prior_entropy: 3.3219, recall: 0.6227, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8745, scimark_benchmark: 1345.7204, usercpu_time_millis: 620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.7746, kappa: 0.7522, kb_relative_information_score: 15410.8626, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7734, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6764, scimark_benchmark: 892.0148, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.7989, kappa: 0.7761, kb_relative_information_score: 16060.3086, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7995, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5597, scimark_benchmark: 1343.6648, usercpu_time_millis: 6570, usercpu_time_millis_training: 6570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8263, kappa: 0.8096, kb_relative_information_score: 14951.5187, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8263, predictive_accuracy: 0.8287, prior_entropy: 3.3219, recall: 0.8287, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5558, scimark_benchmark: 1311.9814, usercpu_time_millis: 11790, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 11470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.753, kappa: 0.7265, kb_relative_information_score: 15003.9036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7549, predictive_accuracy: 0.7539, prior_entropy: 3.3219, recall: 0.7539, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.679, scimark_benchmark: 950.6776, usercpu_time_millis: 2780, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8108, kappa: 0.7904, kb_relative_information_score: 15815.1048, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8115, predictive_accuracy: 0.8114, prior_entropy: 3.3219, recall: 0.8114, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5371, scimark_benchmark: 1318.8785, usercpu_time_millis: 19790, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 19570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.6157, kappa: 0.5726, kb_relative_information_score: 11953.9419, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6162, predictive_accuracy: 0.6153, prior_entropy: 3.3219, recall: 0.6153, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.9246, scimark_benchmark: 833.3193, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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