Task
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: 0.9881, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 28985.1296, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1822.8493, usercpu_time_millis: 257.366, usercpu_time_millis_testing: 256.861, usercpu_time_millis_training: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 28985.1296, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1851.8567, usercpu_time_millis: 252.59, usercpu_time_millis_testing: 252.099, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1829.6751, usercpu_time_millis: 241.329, usercpu_time_millis_testing: 240.818, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1856.0123, usercpu_time_millis: 228.685, usercpu_time_millis_testing: 228.186, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 29316.6768, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1850.2875, usercpu_time_millis: 231.81, usercpu_time_millis_testing: 231.303, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1852.3877, usercpu_time_millis: 223.291, usercpu_time_millis_testing: 222.784, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1829.1442, usercpu_time_millis: 216.705, usercpu_time_millis_testing: 216.195, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1859.1356, usercpu_time_millis: 212.157, usercpu_time_millis_testing: 211.647, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1859.1356, usercpu_time_millis: 208.201, usercpu_time_millis_testing: 207.703, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1857.5664, usercpu_time_millis: 206.232, usercpu_time_millis_testing: 205.747, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1841.1577, usercpu_time_millis: 192.755, usercpu_time_millis_testing: 192.395, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1825.7178, usercpu_time_millis: 176.508, usercpu_time_millis_testing: 176.141, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 2129.9974, usercpu_time_millis: 145.222, usercpu_time_millis_testing: 144.787, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1853.454, usercpu_time_millis: 533.609, usercpu_time_millis_testing: 533.121, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1856.6531, usercpu_time_millis: 497.264, usercpu_time_millis_testing: 496.776, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 28985.1296, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1857.5664, usercpu_time_millis: 496.707, usercpu_time_millis_testing: 496.056, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 28985.1296, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1857.1082, usercpu_time_millis: 471.375, usercpu_time_millis_testing: 470.888, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1855.4813, usercpu_time_millis: 465.883, usercpu_time_millis_testing: 465.407, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1850.8706, usercpu_time_millis: 425.875, usercpu_time_millis_testing: 425.188, usercpu_time_millis_training: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1851.3986, usercpu_time_millis: 413.718, usercpu_time_millis_testing: 413.202, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9571, kappa: 0.8948, kb_relative_information_score: 29717.6661, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1853.97, usercpu_time_millis: 396.807, usercpu_time_millis_testing: 396.319, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1854.0399, usercpu_time_millis: 368.522, usercpu_time_millis_testing: 368.015, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9527, kappa: 0.8841, kb_relative_information_score: 28483.6742, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1835.621, usercpu_time_millis: 281.718, usercpu_time_millis_testing: 281.218, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9527, kappa: 0.8841, kb_relative_information_score: 28483.6742, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1846.1643, usercpu_time_millis: 280.075, usercpu_time_millis_testing: 279.582, usercpu_time_millis_training: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1835.621, usercpu_time_millis: 276.876, usercpu_time_millis_testing: 276.382, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1833.6087, usercpu_time_millis: 275.279, usercpu_time_millis_testing: 274.773, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 28936.6073, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4029, scimark_benchmark: 1838.6751, usercpu_time_millis: 260.764, usercpu_time_millis_testing: 260.255, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 28936.6073, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4029, scimark_benchmark: 1846.6923, usercpu_time_millis: 260.455, usercpu_time_millis_testing: 259.938, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1853.9121, usercpu_time_millis: 254.45, usercpu_time_millis_testing: 253.974, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1855.4813, usercpu_time_millis: 248.548, usercpu_time_millis_testing: 248.065, usercpu_time_millis_training: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29035.3008, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1824.3463, usercpu_time_millis: 246.311, usercpu_time_millis_testing: 245.82, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1853.9121, usercpu_time_millis: 234.789, usercpu_time_millis_testing: 234.31, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 29316.6768, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1853.9121, usercpu_time_millis: 223.62, usercpu_time_millis_testing: 223.122, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1840.1194, usercpu_time_millis: 226.808, usercpu_time_millis_testing: 226.296, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1836.0792, usercpu_time_millis: 217.139, usercpu_time_millis_testing: 216.629, usercpu_time_millis_training: 0.51,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 29316.6768, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1840.6995, usercpu_time_millis: 225.587, usercpu_time_millis_testing: 225.086, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1850.9434, usercpu_time_millis: 218.672, usercpu_time_millis_testing: 218.152, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 2135.5518, usercpu_time_millis: 221.035, usercpu_time_millis_testing: 220.606, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1853.9121, usercpu_time_millis: 206.199, usercpu_time_millis_testing: 205.832, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30127.8295, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1840.1194, usercpu_time_millis: 178.7, usercpu_time_millis_testing: 178.348, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1850.2875, usercpu_time_millis: 490.132, usercpu_time_millis_testing: 489.481, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1857.5664, usercpu_time_millis: 464.074, usercpu_time_millis_testing: 463.57, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1853.9121, usercpu_time_millis: 439.183, usercpu_time_millis_testing: 438.675, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1857.5664, usercpu_time_millis: 434.681, usercpu_time_millis_testing: 434.305, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1853.9849, usercpu_time_millis: 428.812, usercpu_time_millis_testing: 428.295, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1839.5885, usercpu_time_millis: 410.646, usercpu_time_millis_testing: 410.141, usercpu_time_millis_training: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1853.9121, usercpu_time_millis: 406.232, usercpu_time_millis_testing: 405.726, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1857.1082, usercpu_time_millis: 382.482, usercpu_time_millis_testing: 381.994, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1859.1356, usercpu_time_millis: 375.941, usercpu_time_millis_testing: 375.433, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1833.1288, usercpu_time_millis: 277.733, usercpu_time_millis_testing: 277.236, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1821.405, usercpu_time_millis: 277.591, usercpu_time_millis_testing: 277.097, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1837.1204, usercpu_time_millis: 269.839, usercpu_time_millis_testing: 269.348, usercpu_time_millis_training: 0.491,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29035.3008, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1836.0792, usercpu_time_millis: 255.92, usercpu_time_millis_testing: 255.411, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1854.9533, usercpu_time_millis: 249.14, usercpu_time_millis_testing: 248.649, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1832.5979, usercpu_time_millis: 249.999, usercpu_time_millis_testing: 249.496, usercpu_time_millis_training: 0.503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1836.0792, usercpu_time_millis: 241.955, usercpu_time_millis_testing: 241.424, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1858.2223, usercpu_time_millis: 239.665, usercpu_time_millis_testing: 239.152, usercpu_time_millis_training: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 29316.6768, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1831.6845, usercpu_time_millis: 238.11, usercpu_time_millis_testing: 237.584, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1837.1204, usercpu_time_millis: 234.736, usercpu_time_millis_testing: 234.256, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1858.7532, usercpu_time_millis: 216.281, usercpu_time_millis_testing: 215.765, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1859.1356, usercpu_time_millis: 213.306, usercpu_time_millis_testing: 212.945, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1859.6666, usercpu_time_millis: 206.508, usercpu_time_millis_testing: 206.142, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 2146.7114, usercpu_time_millis: 207.912, usercpu_time_millis_testing: 207.481, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1857.5664, usercpu_time_millis: 196.04, usercpu_time_millis_testing: 195.669, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1856.5802, usercpu_time_millis: 179.93, usercpu_time_millis_testing: 179.557, usercpu_time_millis_training: 0.373,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs