OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9412, kappa: 0.8554, kb_relative_information_score: 26329.3461, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628, scimark_benchmark: 1731.163, usercpu_time_millis: 25.458, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 25.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9427, kappa: 0.8592, kb_relative_information_score: 26848.6807, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4536, scimark_benchmark: 1780.1024, usercpu_time_millis: 34.671, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 34.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9429, kappa: 0.8597, kb_relative_information_score: 26855.332, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4533, scimark_benchmark: 1769.1078, usercpu_time_millis: 31.708, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 31.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9411, kappa: 0.855, kb_relative_information_score: 26454.3007, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4617, scimark_benchmark: 1838.168, usercpu_time_millis: 26.152, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 25.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9432, kappa: 0.8605, kb_relative_information_score: 26909.6358, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4524, scimark_benchmark: 1749.9687, usercpu_time_millis: 35.925, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 35.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9452, kappa: 0.8653, kb_relative_information_score: 27341.1787, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1716.1001, usercpu_time_millis: 50.463, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 50.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.944, kappa: 0.8625, kb_relative_information_score: 27126.9239, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4482, scimark_benchmark: 1843.2356, usercpu_time_millis: 42.863, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 42.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8664, kb_relative_information_score: 27433.662, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425, scimark_benchmark: 1710.7007, usercpu_time_millis: 65.372, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 64.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9449, kappa: 0.8645, kb_relative_information_score: 27320.8695, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4445, scimark_benchmark: 1818.0501, usercpu_time_millis: 47.995, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 47.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9459, kappa: 0.8673, kb_relative_information_score: 27612.4347, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4376, scimark_benchmark: 1798.3168, usercpu_time_millis: 61.444, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 61.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.946, kappa: 0.8675, kb_relative_information_score: 27610.7608, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1788.4889, usercpu_time_millis: 62.974, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 62.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9459, kappa: 0.8671, kb_relative_information_score: 27518.4692, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.441, scimark_benchmark: 1848.321, usercpu_time_millis: 59.273, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 58.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.947, kappa: 0.8698, kb_relative_information_score: 27843.0624, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4336, scimark_benchmark: 1742.9565, usercpu_time_millis: 87.285, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 86.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1989.9377, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9107, kappa: 0.7756, kb_relative_information_score: 17327.2467, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9148, predictive_accuracy: 0.9136, prior_entropy: 0.863, recall: 0.9136, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6287, scimark_benchmark: 1988.7444, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 3.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1825.9039, usercpu_time_millis: 3.061, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1796.3795, usercpu_time_millis: 3.165, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1765.6748, usercpu_time_millis: 3.376, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9384, kappa: 0.8483, kb_relative_information_score: 25347.0374, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4821, scimark_benchmark: 1735.1328, usercpu_time_millis: 14.656, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 14.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1724.4096, usercpu_time_millis: 3.408, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 3.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9342, kappa: 0.8377, kb_relative_information_score: 23394.4707, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5139, scimark_benchmark: 1840.5507, usercpu_time_millis: 10.407, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 10.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1748.7333, usercpu_time_millis: 3.157, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 2.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 3.009, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9216, kappa: 0.8048, kb_relative_information_score: 20654.8604, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5632, scimark_benchmark: 1853.3841, usercpu_time_millis: 4.325, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 4.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1736.9559, usercpu_time_millis: 3.222, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1854.9533, usercpu_time_millis: 3.022, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1780.0997, usercpu_time_millis: 3.154, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1776.2305, usercpu_time_millis: 3.084, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.4416, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1775.1223, usercpu_time_millis: 3.161, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1703.2209, usercpu_time_millis: 3.349, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9098, kappa: 0.7747, kb_relative_information_score: 18048.4845, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9115, predictive_accuracy: 0.912, prior_entropy: 0.863, recall: 0.912, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6139, scimark_benchmark: 1857.1082, usercpu_time_millis: 4.284, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 4.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1711.6957, usercpu_time_millis: 3.567, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.23,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 3.078, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.8,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9271, kappa: 0.8193, kb_relative_information_score: 21696.2773, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5446, scimark_benchmark: 1752.6755, usercpu_time_millis: 5.409, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.5954, kb_relative_information_score: 7065.4759, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8516, scimark_benchmark: 1852.0126, usercpu_time_millis: 3.87, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 3.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8666, kappa: 0.662, kb_relative_information_score: 11090.6047, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8738, predictive_accuracy: 0.8732, prior_entropy: 0.863, recall: 0.8732, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7642, scimark_benchmark: 1733.3606, usercpu_time_millis: 3.417, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8897, kappa: 0.7201, kb_relative_information_score: 15297.9659, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9011, predictive_accuracy: 0.8957, prior_entropy: 0.863, recall: 0.8957, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6709, scimark_benchmark: 1813.0703, usercpu_time_millis: 3.885, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1815.8634, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9396, kappa: 0.8515, kb_relative_information_score: 25952.9716, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4707, scimark_benchmark: 1858.6076, usercpu_time_millis: 17.416, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 17.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1808.7886, usercpu_time_millis: 3.15, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9322, kappa: 0.8325, kb_relative_information_score: 22684.6725, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5271, scimark_benchmark: 1842.6679, usercpu_time_millis: 8.188, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 7.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9437, kappa: 0.8616, kb_relative_information_score: 27079.4899, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4481, scimark_benchmark: 1857.5664, usercpu_time_millis: 35.504, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 35.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1763.8425, usercpu_time_millis: 3.156, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.872,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9249, kappa: 0.8133, kb_relative_information_score: 21223.2809, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9257, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5525, scimark_benchmark: 1852.355, usercpu_time_millis: 4.677, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 4.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8732, kappa: 0.6763, kb_relative_information_score: 13814.1215, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.891, predictive_accuracy: 0.882, prior_entropy: 0.863, recall: 0.882, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.7026, scimark_benchmark: 1851.8567, usercpu_time_millis: 3.778, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 3.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1734.3333, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1810.5926, usercpu_time_millis: 3.11, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9327, kappa: 0.8337, kb_relative_information_score: 24101.8203, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5054, scimark_benchmark: 1735.1328, usercpu_time_millis: 8.04, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 7.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9414, kappa: 0.8559, kb_relative_information_score: 26409.5686, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4616, scimark_benchmark: 1815.8127, usercpu_time_millis: 23.328, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 23.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1824.0524, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8785, kappa: 0.6907, kb_relative_information_score: 13380.9776, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.893, predictive_accuracy: 0.8861, prior_entropy: 0.863, recall: 0.8861, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7122, scimark_benchmark: 1805.8638, usercpu_time_millis: 4.22, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9471, kappa: 0.8701, kb_relative_information_score: 27782.1261, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354, scimark_benchmark: 1856.0123, usercpu_time_millis: 77.93, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 77.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1783.2456, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1738.6549, usercpu_time_millis: 3.13, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 2.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8694, kappa: 0.6669, kb_relative_information_score: 12047.812, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8865, predictive_accuracy: 0.8785, prior_entropy: 0.863, recall: 0.8785, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7418, scimark_benchmark: 1777.8402, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 3.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1708.6198, usercpu_time_millis: 4.045, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 3.071, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9328, kappa: 0.834, kb_relative_information_score: 22981.225, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5219, scimark_benchmark: 1848.4984, usercpu_time_millis: 8.468, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 8.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9361, kappa: 0.8424, kb_relative_information_score: 24089.3749, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5017, scimark_benchmark: 1823.9118, usercpu_time_millis: 12.263, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 11.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9417, kappa: 0.8566, kb_relative_information_score: 26447.167, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608, scimark_benchmark: 1705.2492, usercpu_time_millis: 27.66, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 27.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1732.8391, usercpu_time_millis: 3.243, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.943,

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