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: 0.9429, 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: 1738.9977, usercpu_time_millis: 173.86, usercpu_time_millis_testing: 173.5, 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: 1853.9121, usercpu_time_millis: 170.974, usercpu_time_millis_testing: 170.609, usercpu_time_millis_training: 0.365,
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: 2148.2185, usercpu_time_millis: 155.943, usercpu_time_millis_testing: 155.533, usercpu_time_millis_training: 0.41,
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: 1745.5382, usercpu_time_millis: 274.974, usercpu_time_millis_testing: 274.467, usercpu_time_millis_training: 0.507,
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: 1805.5053, usercpu_time_millis: 273.897, usercpu_time_millis_testing: 273.405, usercpu_time_millis_training: 0.492,
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: 1745.4385, usercpu_time_millis: 269.664, usercpu_time_millis_testing: 269.157, usercpu_time_millis_training: 0.507,
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: 1743.5366, usercpu_time_millis: 268.116, usercpu_time_millis_testing: 267.607, usercpu_time_millis_training: 0.509,
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: 1853.9849, usercpu_time_millis: 263.914, usercpu_time_millis_testing: 263.418, usercpu_time_millis_training: 0.496,
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: 1738.0833, usercpu_time_millis: 259.629, usercpu_time_millis_testing: 259.116, usercpu_time_millis_training: 0.513,
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: 1853.9121, usercpu_time_millis: 264.892, usercpu_time_millis_testing: 264.404, usercpu_time_millis_training: 0.488,
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: 1815.2044, usercpu_time_millis: 264.271, usercpu_time_millis_testing: 263.775, usercpu_time_millis_training: 0.496,
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: 1744.051, usercpu_time_millis: 252.648, usercpu_time_millis_testing: 252.123, usercpu_time_millis_training: 0.525,
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: 1853.454, usercpu_time_millis: 254.915, usercpu_time_millis_testing: 254.42, usercpu_time_millis_training: 0.495,
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: 1745.8786, usercpu_time_millis: 248.055, usercpu_time_millis_testing: 247.516, usercpu_time_millis_training: 0.539,
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: 1810.3354, usercpu_time_millis: 250.356, usercpu_time_millis_testing: 249.863, 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: 1850.2875, usercpu_time_millis: 249.74, usercpu_time_millis_testing: 249.249, 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: 1742.2193, usercpu_time_millis: 248.314, usercpu_time_millis_testing: 247.812, usercpu_time_millis_training: 0.502,
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: 1744.0085, usercpu_time_millis: 247.828, usercpu_time_millis_testing: 247.317, usercpu_time_millis_training: 0.511,
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: 1814.6961, usercpu_time_millis: 249.296, usercpu_time_millis_testing: 248.801, usercpu_time_millis_training: 0.495,
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: 1739.5963, usercpu_time_millis: 245.106, usercpu_time_millis_testing: 244.587, usercpu_time_millis_training: 0.519,
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: 1812.2055, usercpu_time_millis: 247.288, usercpu_time_millis_testing: 246.795, usercpu_time_millis_training: 0.493,
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: 1745.8786, usercpu_time_millis: 232.547, usercpu_time_millis_testing: 232.011, usercpu_time_millis_training: 0.536,
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: 1737.6436, usercpu_time_millis: 230.946, usercpu_time_millis_testing: 230.426, usercpu_time_millis_training: 0.52,
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: 1857.6392, usercpu_time_millis: 229.719, usercpu_time_millis_testing: 229.216, usercpu_time_millis_training: 0.503,
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: 1835.6627, usercpu_time_millis: 224.095, usercpu_time_millis_testing: 223.584, usercpu_time_millis_training: 0.511,
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: 1742.319, usercpu_time_millis: 215.782, usercpu_time_millis_testing: 215.395, usercpu_time_millis_training: 0.387,
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: 1971.239, usercpu_time_millis: 217.955, usercpu_time_millis_testing: 217.492, usercpu_time_millis_training: 0.463,
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: 1743.0671, usercpu_time_millis: 190.408, usercpu_time_millis_testing: 190.032, usercpu_time_millis_training: 0.376,
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: 1811.7231, usercpu_time_millis: 190.223, usercpu_time_millis_testing: 189.855, usercpu_time_millis_training: 0.368,
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: 1976.0383, usercpu_time_millis: 191.917, usercpu_time_millis_testing: 191.44, usercpu_time_millis_training: 0.477,
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: 1974.9392, usercpu_time_millis: 190.64, usercpu_time_millis_testing: 190.17, usercpu_time_millis_training: 0.47,
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: 1970.6408, usercpu_time_millis: 171.555, usercpu_time_millis_testing: 171.217, usercpu_time_millis_training: 0.338,
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: 2150.6745, usercpu_time_millis: 125.134, usercpu_time_millis_testing: 124.727, usercpu_time_millis_training: 0.407,
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: 1857.5664, usercpu_time_millis: 266.468, usercpu_time_millis_testing: 265.981, usercpu_time_millis_training: 0.487,
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: 1815.7533, usercpu_time_millis: 276.647, usercpu_time_millis_testing: 276.161, usercpu_time_millis_training: 0.486,
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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: 1854.4431, usercpu_time_millis: 278.637, usercpu_time_millis_testing: 278.146, usercpu_time_millis_training: 0.491,
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: 1851.8567, usercpu_time_millis: 276.26, usercpu_time_millis_testing: 275.765, usercpu_time_millis_training: 0.495,
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: 1813.1487, usercpu_time_millis: 276.654, usercpu_time_millis_testing: 276.162, usercpu_time_millis_training: 0.492,
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: 1849.3014, usercpu_time_millis: 270.836, usercpu_time_millis_testing: 270.338, usercpu_time_millis_training: 0.498,
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: 1797.4501, usercpu_time_millis: 271.339, usercpu_time_millis_testing: 270.851, usercpu_time_millis_training: 0.488,
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: 1810.3354, usercpu_time_millis: 269.269, usercpu_time_millis_testing: 268.773, usercpu_time_millis_training: 0.496,
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: 1805.3263, usercpu_time_millis: 266.681, usercpu_time_millis_testing: 266.185, usercpu_time_millis_training: 0.496,
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: 1854.4431, usercpu_time_millis: 268.798, usercpu_time_millis_testing: 268.308, usercpu_time_millis_training: 0.49,
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: 1852.5406, usercpu_time_millis: 258.996, usercpu_time_millis_testing: 258.496, usercpu_time_millis_training: 0.5,
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: 1807.8395, usercpu_time_millis: 261.523, usercpu_time_millis_testing: 261.033, usercpu_time_millis_training: 0.49,
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: 253.658, usercpu_time_millis_testing: 253.168, usercpu_time_millis_training: 0.49,
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: 1806.8139, usercpu_time_millis: 246.723, usercpu_time_millis_testing: 246.228, usercpu_time_millis_training: 0.495,
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: 1853.454, usercpu_time_millis: 243.693, usercpu_time_millis_testing: 243.195, usercpu_time_millis_training: 0.498,
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: 1857.5664, usercpu_time_millis: 240.663, usercpu_time_millis_testing: 240.166, usercpu_time_millis_training: 0.497,
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: 1809.3271, usercpu_time_millis: 232.269, usercpu_time_millis_testing: 231.759, usercpu_time_millis_training: 0.51,
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: 1808.959, usercpu_time_millis: 224.444, usercpu_time_millis_testing: 223.926, usercpu_time_millis_training: 0.518,
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: 1849.3014, usercpu_time_millis: 215.809, usercpu_time_millis_testing: 215.296, usercpu_time_millis_training: 0.513,
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: 1853.9121, usercpu_time_millis: 209.471, usercpu_time_millis_testing: 208.972, usercpu_time_millis_training: 0.499,
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: 1807.8395, usercpu_time_millis: 210.268, usercpu_time_millis_testing: 209.903, 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: 1855.4813, usercpu_time_millis: 203.833, usercpu_time_millis_testing: 203.475, usercpu_time_millis_training: 0.358,
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: 1792.854, usercpu_time_millis: 203.049, usercpu_time_millis_testing: 202.688, usercpu_time_millis_training: 0.361,
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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: 1813.1487, usercpu_time_millis: 195.942, usercpu_time_millis_testing: 195.576, usercpu_time_millis_training: 0.366,
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: 1807.8395, usercpu_time_millis: 189.115, usercpu_time_millis_testing: 188.759, usercpu_time_millis_training: 0.356,
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: 2137.6152, usercpu_time_millis: 110.875, usercpu_time_millis_testing: 110.445, usercpu_time_millis_training: 0.43,
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: 1807.4714, usercpu_time_millis: 458.31, usercpu_time_millis_testing: 457.83, usercpu_time_millis_training: 0.48,
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: 1806.3111, usercpu_time_millis: 445.135, usercpu_time_millis_testing: 444.663, usercpu_time_millis_training: 0.472,
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: 1806.6064, usercpu_time_millis: 431.785, usercpu_time_millis_testing: 431.324, usercpu_time_millis_training: 0.461,
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: 1812.8084, usercpu_time_millis: 399.68, usercpu_time_millis_testing: 399.175, usercpu_time_millis_training: 0.505,
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: 1810.4578, usercpu_time_millis: 371.223, usercpu_time_millis_testing: 370.721, usercpu_time_millis_training: 0.502,
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: 1852.9988, usercpu_time_millis: 266.319, usercpu_time_millis_testing: 265.823, usercpu_time_millis_training: 0.496,
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: 1857.5664, usercpu_time_millis: 257.823, usercpu_time_millis_testing: 257.327, usercpu_time_millis_training: 0.496,

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