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: 0.9871, 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: 2153.3281, usercpu_time_millis: 116.488, usercpu_time_millis_testing: 116.06, usercpu_time_millis_training: 0.428,
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: 1838.622, usercpu_time_millis: 191.254, usercpu_time_millis_testing: 190.89, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, 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: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1830.2625, usercpu_time_millis: 200.243, usercpu_time_millis_testing: 199.879, usercpu_time_millis_training: 0.364,
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: 1835.7111, usercpu_time_millis: 192.276, usercpu_time_millis_testing: 191.888, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, 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: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1762.6018, usercpu_time_millis: 204.416, usercpu_time_millis_testing: 204.037, usercpu_time_millis_training: 0.379,
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: 1783.6521, usercpu_time_millis: 208.947, usercpu_time_millis_testing: 208.461, usercpu_time_millis_training: 0.486,
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: 1798.9306, usercpu_time_millis: 213.296, usercpu_time_millis_testing: 212.922, usercpu_time_millis_training: 0.374,
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: 1837.132, usercpu_time_millis: 217.721, usercpu_time_millis_testing: 217.335, usercpu_time_millis_training: 0.386,
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: 1795.5842, usercpu_time_millis: 231.394, usercpu_time_millis_testing: 230.865, usercpu_time_millis_training: 0.529,
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: 1832.754, usercpu_time_millis: 226.611, usercpu_time_millis_testing: 226.224, usercpu_time_millis_training: 0.387,
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: 1827.7633, usercpu_time_millis: 228.335, usercpu_time_millis_testing: 227.812, usercpu_time_millis_training: 0.523,
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: 1840.3077, usercpu_time_millis: 244.661, usercpu_time_millis_testing: 244.155, usercpu_time_millis_training: 0.506,
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: 1819.3478, usercpu_time_millis: 248.615, usercpu_time_millis_testing: 248.139, usercpu_time_millis_training: 0.476,
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: 1824.1905, usercpu_time_millis: 240.254, usercpu_time_millis_testing: 239.849, usercpu_time_millis_training: 0.405,
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: 1835.324, usercpu_time_millis: 251.376, usercpu_time_millis_testing: 250.859, usercpu_time_millis_training: 0.517,
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: 1832.1735, usercpu_time_millis: 269.516, usercpu_time_millis_testing: 268.997, usercpu_time_millis_training: 0.519,
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: 1839.8152, usercpu_time_millis: 256.104, usercpu_time_millis_testing: 255.566, usercpu_time_millis_training: 0.538,
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: 1835.7111, usercpu_time_millis: 273.854, usercpu_time_millis_testing: 273.327, usercpu_time_millis_training: 0.527,
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: 1839.7911, usercpu_time_millis: 276.929, usercpu_time_millis_testing: 276.453, usercpu_time_millis_training: 0.476,
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: 1821.9417, usercpu_time_millis: 281.501, usercpu_time_millis_testing: 281.009, usercpu_time_millis_training: 0.492,
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: 1820.1809, usercpu_time_millis: 279.917, usercpu_time_millis_testing: 279.431, usercpu_time_millis_training: 0.486,
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: 1845.7908, usercpu_time_millis: 279.949, usercpu_time_millis_testing: 279.435, usercpu_time_millis_training: 0.514,
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: 1756.5629, usercpu_time_millis: 281.309, usercpu_time_millis_testing: 280.798, usercpu_time_millis_training: 0.511,
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: 1835.1963, usercpu_time_millis: 274.785, usercpu_time_millis_testing: 274.287, usercpu_time_millis_training: 0.498,
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: 1791.0373, usercpu_time_millis: 280.486, usercpu_time_millis_testing: 280.021, usercpu_time_millis_training: 0.465,
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: 1835.2001, usercpu_time_millis: 294.814, usercpu_time_millis_testing: 294.291, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1832.6275, usercpu_time_millis: 301.914, usercpu_time_millis_testing: 301.402, usercpu_time_millis_training: 0.512,
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: 1737.3048, usercpu_time_millis: 314.864, usercpu_time_millis_testing: 314.349, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1836.8516, usercpu_time_millis: 317.189, usercpu_time_millis_testing: 316.637, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1822.4706, usercpu_time_millis: 327.521, usercpu_time_millis_testing: 326.962, usercpu_time_millis_training: 0.559,
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: 1799.8545, usercpu_time_millis: 373.324, usercpu_time_millis_testing: 372.614, usercpu_time_millis_training: 0.71,
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: 1785.3878, usercpu_time_millis: 423.064, usercpu_time_millis_testing: 422.352, usercpu_time_millis_training: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29614.2825, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571, scimark_benchmark: 1270.0695, usercpu_time_millis: 456.525, usercpu_time_millis_testing: 6.669, usercpu_time_millis_training: 449.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28331.4305, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934, scimark_benchmark: 1303.0289, usercpu_time_millis: 550.018, usercpu_time_millis_testing: 18.027, usercpu_time_millis_training: 531.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9591, kappa: 0.8992, kb_relative_information_score: 26975.5053, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.407, scimark_benchmark: 1280.6275, usercpu_time_millis: 564.238, usercpu_time_millis_testing: 38.354, usercpu_time_millis_training: 525.884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28295.3434, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1283.6991, usercpu_time_millis: 530.448, usercpu_time_millis_testing: 18.508, usercpu_time_millis_training: 511.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9598, kappa: 0.9013, kb_relative_information_score: 28457.633, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3921, scimark_benchmark: 1291.1269, usercpu_time_millis: 871.222, usercpu_time_millis_testing: 20.187, usercpu_time_millis_training: 851.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9636, kappa: 0.9105, kb_relative_information_score: 28683.5028, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1286.6828, usercpu_time_millis: 930.592, usercpu_time_millis_testing: 38.992, usercpu_time_millis_training: 891.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29265.2528, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623, scimark_benchmark: 1291.8734, usercpu_time_millis: 177.999, usercpu_time_millis_testing: 6.504, usercpu_time_millis_training: 171.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29167.3198, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1306.2558, usercpu_time_millis: 429.552, usercpu_time_millis_testing: 8.378, usercpu_time_millis_training: 421.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9307, kappa: 0.8261, kb_relative_information_score: 19244.083, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.579, scimark_benchmark: 1293.1062, usercpu_time_millis: 569.285, usercpu_time_millis_testing: 39.036, usercpu_time_millis_training: 530.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9554, kappa: 0.89, kb_relative_information_score: 26605.4118, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4229, scimark_benchmark: 1300.1812, usercpu_time_millis: 656.546, usercpu_time_millis_testing: 47.566, usercpu_time_millis_training: 608.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: 28221.4222, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1305.2649, usercpu_time_millis: 870.058, usercpu_time_millis_testing: 18.818, usercpu_time_millis_training: 851.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 28815.5054, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3725, scimark_benchmark: 1291.8123, usercpu_time_millis: 800.643, usercpu_time_millis_testing: 29.794, usercpu_time_millis_training: 770.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29865.8418, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3518, scimark_benchmark: 1287.3052, usercpu_time_millis: 989.043, usercpu_time_millis_testing: 9.2, usercpu_time_millis_training: 979.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29496.584, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675, scimark_benchmark: 1282.529, usercpu_time_millis: 94.862, usercpu_time_millis_testing: 5.574, usercpu_time_millis_training: 89.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 28391.0356, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3944, scimark_benchmark: 1275.9752, usercpu_time_millis: 372.316, usercpu_time_millis_testing: 11.554, usercpu_time_millis_training: 360.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 28313.1325, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4047, scimark_benchmark: 1284.1725, usercpu_time_millis: 75.239, usercpu_time_millis_testing: 4.581, usercpu_time_millis_training: 70.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9573, kappa: 0.895, kb_relative_information_score: 28228.9864, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1282.5322, usercpu_time_millis: 526.775, usercpu_time_millis_testing: 7.068, usercpu_time_millis_training: 519.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29698.1312, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1284.5685, usercpu_time_millis: 568.069, usercpu_time_millis_testing: 6.955, usercpu_time_millis_training: 561.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 28962.4671, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1282.8331, usercpu_time_millis: 617.668, usercpu_time_millis_testing: 14.035, usercpu_time_millis_training: 603.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9581, kappa: 0.8966, kb_relative_information_score: 27077.028, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.41, scimark_benchmark: 1296.2793, usercpu_time_millis: 781.07, usercpu_time_millis_testing: 55.666, usercpu_time_millis_training: 725.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 28468.8401, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3852, scimark_benchmark: 1303.9328, usercpu_time_millis: 98.818, usercpu_time_millis_testing: 5.811, usercpu_time_millis_training: 93.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 29481.6523, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3768, scimark_benchmark: 1299.6883, usercpu_time_millis: 341.09, usercpu_time_millis_testing: 4.348, usercpu_time_millis_training: 336.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 29304.5519, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3771, scimark_benchmark: 1299.0216, usercpu_time_millis: 391.42, usercpu_time_millis_testing: 4.102, usercpu_time_millis_training: 387.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29303.2633, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1287.5216, usercpu_time_millis: 445.177, usercpu_time_millis_testing: 8.588, usercpu_time_millis_training: 436.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29233.1353, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3687, scimark_benchmark: 1283.8166, usercpu_time_millis: 426.958, usercpu_time_millis_testing: 9.854, usercpu_time_millis_training: 417.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29440.5425, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568, scimark_benchmark: 1284.1394, usercpu_time_millis: 797.408, usercpu_time_millis_testing: 16.96, usercpu_time_millis_training: 780.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29379.9402, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3638, scimark_benchmark: 1282.4707, usercpu_time_millis: 876.525, usercpu_time_millis_testing: 11.682, usercpu_time_millis_training: 864.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29798.821, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489, scimark_benchmark: 1286.4999, usercpu_time_millis: 259.607, usercpu_time_millis_testing: 6.561, usercpu_time_millis_training: 253.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29535.9459, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1284.5837, usercpu_time_millis: 893.651, usercpu_time_millis_testing: 9.274, usercpu_time_millis_training: 884.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28596.7653, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3767, scimark_benchmark: 1291.7175, usercpu_time_millis: 454.409, usercpu_time_millis_testing: 19.54, usercpu_time_millis_training: 434.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.93, kappa: 0.8244, kb_relative_information_score: 19187.5903, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5808, scimark_benchmark: 1278.9798, usercpu_time_millis: 494.817, usercpu_time_millis_testing: 34.458, usercpu_time_millis_training: 460.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9302, kappa: 0.8248, kb_relative_information_score: 19233.5926, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5798, scimark_benchmark: 1286.3018, usercpu_time_millis: 732.549, usercpu_time_millis_testing: 54.229, usercpu_time_millis_training: 678.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29089.9023, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3662, scimark_benchmark: 1294.2318, usercpu_time_millis: 261.239, usercpu_time_millis_testing: 8.783, usercpu_time_millis_training: 252.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9577, kappa: 0.896, kb_relative_information_score: 28166.1251, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4052, scimark_benchmark: 1283.5068, usercpu_time_millis: 413.084, usercpu_time_millis_testing: 8.831, usercpu_time_millis_training: 404.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29723.2847, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1290.9008, usercpu_time_millis: 316.971, usercpu_time_millis_testing: 5.147, usercpu_time_millis_training: 311.824,

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

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