OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 55846 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6226, kappa: 0.2454, kb_relative_information_score: 98.0776, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6228, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9755, scimark_benchmark: 1279.9204, usercpu_time_millis: 917.331, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 916.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 181.467, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5996, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9764, scimark_benchmark: 1280.5118, usercpu_time_millis: 1901.75, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1901.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 49.3401, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5969, predictive_accuracy: 0.5969, prior_entropy: 1, recall: 0.5969, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1274.1725, usercpu_time_millis: 759.079, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 758.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 152.2969, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1298.4122, usercpu_time_millis: 335.008, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 334.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 16.3214, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1297.2476, usercpu_time_millis: 308.811, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 308.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5799, kappa: 0.16, kb_relative_information_score: 192.6431, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1272.8516, usercpu_time_millis: 746.524, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 746.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.56, kappa: 0.12, kb_relative_information_score: 197.721, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, scimark_benchmark: 1265.5052, usercpu_time_millis: 739.23, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 738.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 152.2589, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6023, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1296.3858, usercpu_time_millis: 1315.971, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1315.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 156.9491, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6139, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9655, scimark_benchmark: 1294.5444, usercpu_time_millis: 1827.054, usercpu_time_millis_testing: 4.243, usercpu_time_millis_training: 1822.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.7116, usercpu_time_millis: 1583.457, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 1582.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.67, kappa: 0.34, kb_relative_information_score: 720.2645, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.67, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1279.3132, usercpu_time_millis: 1517.804, usercpu_time_millis_testing: 1.349, usercpu_time_millis_training: 1516.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.593, kappa: 0.1862, kb_relative_information_score: 181.1861, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 1270.9443, usercpu_time_millis: 2848.96, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 2848.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5688, kappa: 0.1377, kb_relative_information_score: 194.6133, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5689, predictive_accuracy: 0.5688, prior_entropy: 1, recall: 0.5688, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 1286.9003, usercpu_time_millis: 2247.941, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2247.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 63.9181, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5969, predictive_accuracy: 0.5969, prior_entropy: 1, recall: 0.5969, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9855, scimark_benchmark: 1277.7666, usercpu_time_millis: 785.148, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 784.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.6941, kappa: 0.3885, kb_relative_information_score: 474.2442, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6946, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8919, scimark_benchmark: 1299.9071, usercpu_time_millis: 1726.819, usercpu_time_millis_testing: 5.214, usercpu_time_millis_training: 1721.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 18.759, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1297.9842, usercpu_time_millis: 412.676, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 412.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1300.4745, usercpu_time_millis: 1636.319, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 1635.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 46.4812, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1283.8384, usercpu_time_millis: 255.194, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 254.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 115.7268, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9781, scimark_benchmark: 1280.7599, usercpu_time_millis: 1810.854, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1810.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 113.6198, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9783, scimark_benchmark: 1298.8345, usercpu_time_millis: 2698.516, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2698.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7699, kappa: 0.5415, kb_relative_information_score: 664.0954, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7749, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8332, scimark_benchmark: 1858.0974, usercpu_time_millis: 128.888, usercpu_time_millis_testing: 1.215, usercpu_time_millis_training: 127.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6477, kappa: 0.3085, kb_relative_information_score: 316.7637, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6667, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9362, scimark_benchmark: 1842.3188, usercpu_time_millis: 170.243, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 169.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.6913, kappa: 0.3869, kb_relative_information_score: 478.708, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.699, predictive_accuracy: 0.6935, prior_entropy: 1, recall: 0.6935, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8966, scimark_benchmark: 1846.1643, usercpu_time_millis: 198.654, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 197.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7312, kappa: 0.4662, kb_relative_information_score: 502.8436, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7399, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804, scimark_benchmark: 1857.5664, usercpu_time_millis: 185.867, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 184.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7326, kappa: 0.4669, kb_relative_information_score: 623.6978, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7365, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552, scimark_benchmark: 1839.272, usercpu_time_millis: 245.868, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 244.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.674, kappa: 0.3523, kb_relative_information_score: 336.9504, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.681, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9242, scimark_benchmark: 1848.321, usercpu_time_millis: 7.506, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 7.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.6944, kappa: 0.3915, kb_relative_information_score: 328.7929, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6992, predictive_accuracy: 0.6958, prior_entropy: 1, recall: 0.6958, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.92, scimark_benchmark: 1847.4649, usercpu_time_millis: 37.008, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 36.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6136, kappa: 0.2277, kb_relative_information_score: 154.8037, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6141, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1857.0384, usercpu_time_millis: 19.422, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 18.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.686, kappa: 0.3762, kb_relative_information_score: 367.3705, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6933, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9183, scimark_benchmark: 1843.2259, usercpu_time_millis: 51.747, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 51.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.691, kappa: 0.3838, kb_relative_information_score: 249.8783, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6943, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9366, scimark_benchmark: 1858.6076, usercpu_time_millis: 51.945, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 49.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.715, kappa: 0.4331, kb_relative_information_score: 406.624, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7213, predictive_accuracy: 0.7165, prior_entropy: 1, recall: 0.7165, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9012, scimark_benchmark: 1847.9815, usercpu_time_millis: 62.218, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 61.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8287, kappa: 0.6577, kb_relative_information_score: 828.2104, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8301, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7818, scimark_benchmark: 1857.184, usercpu_time_millis: 61.02, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 60.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7136, kappa: 0.43, kb_relative_information_score: 336.0351, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7193, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9156, scimark_benchmark: 1687.4351, usercpu_time_millis: 84.576, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 82.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.616, kappa: 0.2323, kb_relative_information_score: 191.5292, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9674, scimark_benchmark: 1841.2811, usercpu_time_millis: 93.162, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 92.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7359, kappa: 0.4746, kb_relative_information_score: 499.9861, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7424, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8769, scimark_benchmark: 1859.1356, usercpu_time_millis: 58.968, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 58.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.6658, kappa: 0.3362, kb_relative_information_score: 306.7501, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6727, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9271, scimark_benchmark: 1858.1494, usercpu_time_millis: 64.59, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 63.14,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 187.8973, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9714, scimark_benchmark: 1853.9121, usercpu_time_millis: 31.667, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 31.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6118, kappa: 0.2238, kb_relative_information_score: 201.0673, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.612, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618, scimark_benchmark: 1856.0551, usercpu_time_millis: 61.684, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 60.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 1015.4507, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8265, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7465, scimark_benchmark: 1848.5009, usercpu_time_millis: 141.188, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 140.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6692, kappa: 0.3462, kb_relative_information_score: 510.8283, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6816, predictive_accuracy: 0.6731, prior_entropy: 1, recall: 0.6731, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8914, scimark_benchmark: 1819.7237, usercpu_time_millis: 124.21, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 123.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6677, kappa: 0.3431, kb_relative_information_score: 347.6109, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6798, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218, scimark_benchmark: 1852.0126, usercpu_time_millis: 146.493, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 145.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1225.7333, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8424, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6957, scimark_benchmark: 1847.5276, usercpu_time_millis: 141.718, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 141.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8144, kappa: 0.6292, kb_relative_information_score: 804.711, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8158, predictive_accuracy: 0.8146, prior_entropy: 1, recall: 0.8146, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7922, scimark_benchmark: 1853.5297, usercpu_time_millis: 142.319, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 141.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 766.1402, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209, scimark_benchmark: 1859.1656, usercpu_time_millis: 140.59, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 140.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.72, kappa: 0.4446, kb_relative_information_score: 526.4773, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.73, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881, scimark_benchmark: 1833.6579, usercpu_time_millis: 184.763, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 183.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7378, kappa: 0.4769, kb_relative_information_score: 666.2225, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7409, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8457, scimark_benchmark: 1854.1097, usercpu_time_millis: 205.098, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 204.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1844.3569, usercpu_time_millis: 5.045, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1847.6, usercpu_time_millis: 3.364, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 2.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1851.4874, usercpu_time_millis: 3.768, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.9652, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 2.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 3.543, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 2.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6524, kappa: 0.3054, kb_relative_information_score: 264.2152, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6532, predictive_accuracy: 0.6527, prior_entropy: 1, recall: 0.6527, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9425, scimark_benchmark: 1851.827, usercpu_time_millis: 3.915, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.4601, usercpu_time_millis: 4.452, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 3.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 187.8588, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6153, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9687, scimark_benchmark: 1844.3569, usercpu_time_millis: 3.104, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1851.3018, usercpu_time_millis: 4.448, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 3.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6021, kappa: 0.2046, kb_relative_information_score: 76.0498, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6026, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9812, scimark_benchmark: 1736.5831, usercpu_time_millis: 4.117, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 3.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.626, kappa: 0.2523, kb_relative_information_score: 194.757, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6263, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9533, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.785, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6724, kappa: 0.3523, kb_relative_information_score: 520.416, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6847, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8902, scimark_benchmark: 1842.9394, usercpu_time_millis: 25.842, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 25.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.184, usercpu_time_millis: 4.115, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 3.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 821.1136, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7824, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8102, scimark_benchmark: 1847.5276, usercpu_time_millis: 28.393, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 27.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1837.7149, usercpu_time_millis: 4.853, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 4.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.4601, usercpu_time_millis: 3.734, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 3.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1839.7911, usercpu_time_millis: 4.169, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 3.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.4412, usercpu_time_millis: 2.382, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 6.166, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 5.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 183.5099, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9648, scimark_benchmark: 1839.1443, usercpu_time_millis: 15.895, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 15.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1814.0879, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 3.686,

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