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: 0.9865, 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: 1857.0384, usercpu_time_millis: 222.655, usercpu_time_millis_testing: 222.15, usercpu_time_millis_training: 0.505,
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: 1966.0886, usercpu_time_millis: 215.559, usercpu_time_millis_testing: 215.081, usercpu_time_millis_training: 0.478,
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: 1745.4744, usercpu_time_millis: 210.718, usercpu_time_millis_testing: 210.345, usercpu_time_millis_training: 0.373,
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: 212.593, usercpu_time_millis_testing: 212.091, usercpu_time_millis_training: 0.502,
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: 1740.9783, usercpu_time_millis: 205.897, usercpu_time_millis_testing: 205.535, usercpu_time_millis_training: 0.362,
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: 1742.6594, usercpu_time_millis: 202.357, usercpu_time_millis_testing: 201.985, usercpu_time_millis_training: 0.372,
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: 1813.7489, usercpu_time_millis: 207.887, usercpu_time_millis_testing: 207.522, usercpu_time_millis_training: 0.365,
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: 1811.7664, usercpu_time_millis: 207.76, usercpu_time_millis_testing: 207.386, usercpu_time_millis_training: 0.374,
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: 1739.1321, usercpu_time_millis: 197.045, usercpu_time_millis_testing: 196.681, 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: 1851.8173, usercpu_time_millis: 195.505, usercpu_time_millis_testing: 195.137, usercpu_time_millis_training: 0.368,
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: 1813.7489, usercpu_time_millis: 182.385, usercpu_time_millis_testing: 182.02, usercpu_time_millis_training: 0.365,
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: 1970.976, usercpu_time_millis: 163.174, usercpu_time_millis_testing: 162.832, usercpu_time_millis_training: 0.342,
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: 2127.937, usercpu_time_millis: 140.32, usercpu_time_millis_testing: 139.916, usercpu_time_millis_training: 0.404,
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: 1840.6505, usercpu_time_millis: 285.41, usercpu_time_millis_testing: 284.913, usercpu_time_millis_training: 0.497,
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: 1842.5039, usercpu_time_millis: 277.842, usercpu_time_millis_testing: 277.35, 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: 1846.5972, usercpu_time_millis: 275.29, usercpu_time_millis_testing: 274.783, usercpu_time_millis_training: 0.507,
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: 1853.9121, usercpu_time_millis: 275.119, usercpu_time_millis_testing: 274.626, usercpu_time_millis_training: 0.493,
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: 1804.521, usercpu_time_millis: 274.703, usercpu_time_millis_testing: 274.207, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 28714.7115, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4066, scimark_benchmark: 1847.253, usercpu_time_millis: 270.561, usercpu_time_millis_testing: 270.07, usercpu_time_millis_training: 0.491,
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: 1853.9121, usercpu_time_millis: 266.803, usercpu_time_millis_testing: 266.313, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28799.4281, mean_absolute_error: 0.0679, 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: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1804.5915, usercpu_time_millis: 262.799, usercpu_time_millis_testing: 262.301, usercpu_time_millis_training: 0.498,
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: 1845.8269, usercpu_time_millis: 258.642, usercpu_time_millis_testing: 258.127, usercpu_time_millis_training: 0.515,
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: 1810.2038, usercpu_time_millis: 259.222, usercpu_time_millis_testing: 258.723, usercpu_time_millis_training: 0.499,
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: 1859.1356, usercpu_time_millis: 254.247, usercpu_time_millis_testing: 253.756, 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: 1842.2197, usercpu_time_millis: 247.288, usercpu_time_millis_testing: 246.785, usercpu_time_millis_training: 0.503,
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: 1805.7654, usercpu_time_millis: 250.853, usercpu_time_millis_testing: 250.362, 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: 1839.5022, usercpu_time_millis: 244.487, usercpu_time_millis_testing: 243.991, usercpu_time_millis_training: 0.496,
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: 1815.6868, usercpu_time_millis: 246.749, usercpu_time_millis_testing: 246.26, usercpu_time_millis_training: 0.489,
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: 1839.0933, usercpu_time_millis: 241.293, usercpu_time_millis_testing: 240.789, usercpu_time_millis_training: 0.504,
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: 1849.7595, usercpu_time_millis: 241.797, usercpu_time_millis_testing: 241.311, usercpu_time_millis_training: 0.486,
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: 1854.568, usercpu_time_millis: 238.87, usercpu_time_millis_testing: 238.353, usercpu_time_millis_training: 0.517,
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: 1842.0295, usercpu_time_millis: 232.547, usercpu_time_millis_testing: 232.022, usercpu_time_millis_training: 0.525,
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: 1844.7192, usercpu_time_millis: 230.148, usercpu_time_millis_testing: 229.606, usercpu_time_millis_training: 0.542,
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: 1846.3459, usercpu_time_millis: 218.157, usercpu_time_millis_testing: 217.647, usercpu_time_millis_training: 0.51,
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: 1841.2601, usercpu_time_millis: 211.032, usercpu_time_millis_testing: 210.654, usercpu_time_millis_training: 0.378,
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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: 1811.8342, usercpu_time_millis: 198.487, usercpu_time_millis_testing: 198.109, usercpu_time_millis_training: 0.378,
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: 1853.454, usercpu_time_millis: 193.448, usercpu_time_millis_testing: 193.088, usercpu_time_millis_training: 0.36,
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: 1970.6408, usercpu_time_millis: 184.56, usercpu_time_millis_testing: 184.222, usercpu_time_millis_training: 0.338,
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: 1971.6712, usercpu_time_millis: 152.248, usercpu_time_millis_testing: 151.911, usercpu_time_millis_training: 0.337,
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: 2154.0209, usercpu_time_millis: 93.659, usercpu_time_millis_testing: 93.352, usercpu_time_millis_training: 0.307,
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: 1834.3175, usercpu_time_millis: 281.664, usercpu_time_millis_testing: 281.167, usercpu_time_millis_training: 0.497,
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: 1851.9456, usercpu_time_millis: 279.23, usercpu_time_millis_testing: 278.718, 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: 1855.6669, usercpu_time_millis: 279.003, usercpu_time_millis_testing: 278.503, usercpu_time_millis_training: 0.5,
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: 1853.9121, usercpu_time_millis: 270.823, usercpu_time_millis_testing: 270.332, usercpu_time_millis_training: 0.491,
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: 1830.583, usercpu_time_millis: 270.48, usercpu_time_millis_testing: 269.982, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28799.4281, mean_absolute_error: 0.0679, 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: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1852.4707, usercpu_time_millis: 269.548, usercpu_time_millis_testing: 269.033, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 28714.7115, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4066, scimark_benchmark: 1857.5664, usercpu_time_millis: 269.326, usercpu_time_millis_testing: 268.836, usercpu_time_millis_training: 0.49,
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: 1859.1356, usercpu_time_millis: 267.073, usercpu_time_millis_testing: 266.57, usercpu_time_millis_training: 0.503,
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: 1854.0399, usercpu_time_millis: 264.538, usercpu_time_millis_testing: 264.016, usercpu_time_millis_training: 0.522,
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: 1810.5254, usercpu_time_millis: 263.968, usercpu_time_millis_testing: 263.467, usercpu_time_millis_training: 0.501,
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: 1851.3007, usercpu_time_millis: 261.64, usercpu_time_millis_testing: 261.146, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28799.4281, mean_absolute_error: 0.0679, 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: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1810.9528, usercpu_time_millis: 261.273, usercpu_time_millis_testing: 260.774, usercpu_time_millis_training: 0.499,
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: 1852.9283, usercpu_time_millis: 255.544, usercpu_time_millis_testing: 255.051, usercpu_time_millis_training: 0.493,
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: 1834.6216, usercpu_time_millis: 250.933, usercpu_time_millis_testing: 250.442, 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: 1854.0399, usercpu_time_millis: 248.314, usercpu_time_millis_testing: 247.775, usercpu_time_millis_training: 0.539,
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: 1855.5999, usercpu_time_millis: 248.271, usercpu_time_millis_testing: 247.769, usercpu_time_millis_training: 0.502,
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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: 1806.0108, usercpu_time_millis: 245.788, usercpu_time_millis_testing: 245.294, usercpu_time_millis_training: 0.494,
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: 1808.4562, usercpu_time_millis: 242.533, usercpu_time_millis_testing: 242.046, usercpu_time_millis_training: 0.487,
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: 1857.0384, usercpu_time_millis: 238.257, usercpu_time_millis_testing: 237.747, usercpu_time_millis_training: 0.51,
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: 1809.8299, usercpu_time_millis: 236.798, usercpu_time_millis_testing: 236.293, usercpu_time_millis_training: 0.505,
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: 1805.0025, usercpu_time_millis: 223.321, usercpu_time_millis_testing: 222.818, usercpu_time_millis_training: 0.503,
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: 1977.5873, usercpu_time_millis: 220.887, usercpu_time_millis_testing: 220.435, usercpu_time_millis_training: 0.452,
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: 1852.4707, usercpu_time_millis: 218.371, usercpu_time_millis_testing: 217.859, usercpu_time_millis_training: 0.512,
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: 1849.7595, usercpu_time_millis: 216.262, usercpu_time_millis_testing: 215.888, usercpu_time_millis_training: 0.374,
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: 1854.4951, usercpu_time_millis: 214.081, usercpu_time_millis_testing: 213.702, usercpu_time_millis_training: 0.379,
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: 1966.8881, usercpu_time_millis: 189.032, usercpu_time_millis_testing: 188.69, usercpu_time_millis_training: 0.342,

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