OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31695 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9548, kappa: 0.8892, kb_relative_information_score: 27798.4389, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153, scimark_benchmark: 1841.1577, usercpu_time_millis: 99.641, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 98.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.7101, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 15.088, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 14.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8689, kappa: 0.6805, kb_relative_information_score: 17335.5871, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8682, prior_entropy: 0.863, recall: 0.8682, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6756, scimark_benchmark: 1800.062, usercpu_time_millis: 87.771, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 86.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8654, kappa: 0.6738, kb_relative_information_score: 17499.9437, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.8641, prior_entropy: 0.863, recall: 0.8641, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6844, scimark_benchmark: 1815.5992, usercpu_time_millis: 190.537, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 189.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8683, kappa: 0.6794, kb_relative_information_score: 17375.516, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6776, scimark_benchmark: 1846.8201, usercpu_time_millis: 13.816, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 13.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -11.4997, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 12.329, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 10.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.4998, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1823.4313, usercpu_time_millis: 22.475, usercpu_time_millis_testing: 1.955, usercpu_time_millis_training: 20.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -8.003, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.3877, usercpu_time_millis: 33.435, usercpu_time_millis_testing: 3.944, usercpu_time_millis_training: 29.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.0133, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1766.3099, usercpu_time_millis: 12.925, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 12.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9363, kappa: 0.8422, kb_relative_information_score: 25536.3316, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4894, scimark_benchmark: 1834.1671, usercpu_time_millis: 180.636, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 179.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8664, kappa: 0.6725, kb_relative_information_score: 15953.6819, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.863, recall: 0.8665, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6852, scimark_benchmark: 1832.5979, usercpu_time_millis: 98.205, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 95.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8674, kappa: 0.6752, kb_relative_information_score: 15859.3571, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6853, scimark_benchmark: 1853.5818, usercpu_time_millis: 217.622, usercpu_time_millis_testing: 6.497, usercpu_time_millis_training: 211.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9282, kappa: 0.8195, kb_relative_information_score: 19029.212, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5848, scimark_benchmark: 1851.3986, usercpu_time_millis: 183.413, usercpu_time_millis_testing: 15.915, usercpu_time_millis_training: 167.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29554.2168, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3554, scimark_benchmark: 1825.7178, usercpu_time_millis: 188.997, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 186.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8574, kappa: 0.6553, kb_relative_information_score: 16951.7624, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8603, predictive_accuracy: 0.8557, prior_entropy: 0.863, recall: 0.8557, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.7023, scimark_benchmark: 1816.8604, usercpu_time_millis: 246.233, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 244.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9226, kappa: 0.8052, kb_relative_information_score: 18457.8319, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.599, scimark_benchmark: 1838.1793, usercpu_time_millis: 257.983, usercpu_time_millis_testing: 20.926, usercpu_time_millis_training: 237.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9177, kappa: 0.7932, kb_relative_information_score: 24389.4758, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5159, scimark_benchmark: 1849.7595, usercpu_time_millis: 974.801, usercpu_time_millis_testing: 8.749, usercpu_time_millis_training: 966.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8572, kappa: 0.6547, kb_relative_information_score: 16952.8136, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.86, predictive_accuracy: 0.8555, prior_entropy: 0.863, recall: 0.8555, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.7013, scimark_benchmark: 1832.1397, usercpu_time_millis: 998.183, usercpu_time_millis_testing: 9.857, usercpu_time_millis_training: 988.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9507, kappa: 0.8789, kb_relative_information_score: 27230.7463, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, scimark_benchmark: 1848.7925, usercpu_time_millis: 296.323, usercpu_time_millis_testing: 3.93, usercpu_time_millis_training: 292.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.923, kappa: 0.8071, kb_relative_information_score: 24461.5245, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5074, scimark_benchmark: 1829.1442, usercpu_time_millis: 286.759, usercpu_time_millis_testing: 3.137, usercpu_time_millis_training: 283.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9392, kappa: 0.8493, kb_relative_information_score: 24726.0158, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4807, scimark_benchmark: 1855.4813, usercpu_time_millis: 307.025, usercpu_time_millis_testing: 12.388, usercpu_time_millis_training: 294.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9437, kappa: 0.8611, kb_relative_information_score: 26479.7154, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4594, scimark_benchmark: 1845.6661, usercpu_time_millis: 274.816, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 271.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 29048.2291, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813, scimark_benchmark: 1818.9456, usercpu_time_millis: 346.645, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 344.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9175, kappa: 0.7926, kb_relative_information_score: 24452.7421, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5203, scimark_benchmark: 1832.5979, usercpu_time_millis: 293.912, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 291.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8633, kappa: 0.6698, kb_relative_information_score: 17366.3545, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8662, predictive_accuracy: 0.8617, prior_entropy: 0.863, recall: 0.8617, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6906, scimark_benchmark: 1835.7489, usercpu_time_millis: 405.043, usercpu_time_millis_testing: 2.041, usercpu_time_millis_training: 403.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9412, kappa: 0.855, kb_relative_information_score: 26320.4319, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468, scimark_benchmark: 1851.3986, usercpu_time_millis: 382.872, usercpu_time_millis_testing: 1.732, usercpu_time_millis_training: 381.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9339, kappa: 0.8357, kb_relative_information_score: 22296.0638, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1843.1261, usercpu_time_millis: 337.915, usercpu_time_millis_testing: 17.842, usercpu_time_millis_training: 320.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8728, kappa: 0.6894, kb_relative_information_score: 17411.4193, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8733, predictive_accuracy: 0.8724, prior_entropy: 0.863, recall: 0.8724, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6587, scimark_benchmark: 1848.7925, usercpu_time_millis: 438.056, usercpu_time_millis_testing: 9.425, usercpu_time_millis_training: 428.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 27252.9279, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4374, scimark_benchmark: 1802.471, usercpu_time_millis: 446.768, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 444.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9162, kappa: 0.7892, kb_relative_information_score: 24356.4333, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9216, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5222, scimark_benchmark: 1853.9121, usercpu_time_millis: 455.606, usercpu_time_millis_testing: 3.29, usercpu_time_millis_training: 452.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9493, kappa: 0.8747, kb_relative_information_score: 26090.7547, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1817.1684, usercpu_time_millis: 479.894, usercpu_time_millis_testing: 20.932, usercpu_time_millis_training: 458.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8608, kappa: 0.6645, kb_relative_information_score: 17330.0181, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8644, predictive_accuracy: 0.8589, prior_entropy: 0.863, recall: 0.8589, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.694, scimark_benchmark: 1853.9121, usercpu_time_millis: 518.838, usercpu_time_millis_testing: 2.086, usercpu_time_millis_training: 516.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9485, kappa: 0.8737, kb_relative_information_score: 27149.1433, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4408, scimark_benchmark: 1820.7991, usercpu_time_millis: 531.565, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 529.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8573, kappa: 0.6543, kb_relative_information_score: 15970.4726, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8596, predictive_accuracy: 0.8558, prior_entropy: 0.863, recall: 0.8558, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7238, scimark_benchmark: 1828.7078, usercpu_time_millis: 317.4, usercpu_time_millis_testing: 5.644, usercpu_time_millis_training: 311.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9188, kappa: 0.796, kb_relative_information_score: 24637.1519, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9215, prior_entropy: 0.863, recall: 0.9215, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.514, scimark_benchmark: 1845.6518, usercpu_time_millis: 294.584, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 291.752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28881.9831, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3819, scimark_benchmark: 1842.8566, usercpu_time_millis: 159.802, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 158.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9586, kappa: 0.8981, kb_relative_information_score: 28334.0874, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 1708.2782, usercpu_time_millis: 220.813, usercpu_time_millis_testing: 3.157, usercpu_time_millis_training: 217.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29501.6459, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3619, scimark_benchmark: 1808.526, usercpu_time_millis: 226.93, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 225.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 29198.7973, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1852.9988, usercpu_time_millis: 263.24, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 261.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8684, kappa: 0.6781, kb_relative_information_score: 16450.76, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8686, predictive_accuracy: 0.8682, prior_entropy: 0.863, recall: 0.8682, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.68, scimark_benchmark: 1844.7928, usercpu_time_millis: 258.171, usercpu_time_millis_testing: 9.917, usercpu_time_millis_training: 248.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 29573.4738, mean_absolute_error: 0.0613, 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: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1853.3841, usercpu_time_millis: 261.99, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 260.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29721.8155, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1714.6936, usercpu_time_millis: 252.732, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 251.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29972.8724, mean_absolute_error: 0.0549, 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: 0.1346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1853.9849, usercpu_time_millis: 290.241, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 288.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8667, kappa: 0.6745, kb_relative_information_score: 17119.2228, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8672, predictive_accuracy: 0.8662, prior_entropy: 0.863, recall: 0.8662, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6825, scimark_benchmark: 1854.568, usercpu_time_millis: 324.294, usercpu_time_millis_testing: 6.038, usercpu_time_millis_training: 318.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9168, kappa: 0.791, kb_relative_information_score: 21650.6506, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5512, scimark_benchmark: 1846.8212, usercpu_time_millis: 409.292, usercpu_time_millis_testing: 9.807, usercpu_time_millis_training: 399.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9542, kappa: 0.8875, kb_relative_information_score: 27659.5418, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186, scimark_benchmark: 1721.7423, usercpu_time_millis: 451.822, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 447.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9386, kappa: 0.8482, kb_relative_information_score: 26220.1332, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4706, scimark_benchmark: 1855.4813, usercpu_time_millis: 446.334, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 444.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9449, kappa: 0.8636, kb_relative_information_score: 25697.5309, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4572, scimark_benchmark: 1832.5979, usercpu_time_millis: 298.706, usercpu_time_millis_testing: 12.462, usercpu_time_millis_training: 286.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.932, kappa: 0.8308, kb_relative_information_score: 23993.6321, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015, scimark_benchmark: 1836.8213, usercpu_time_millis: 310.879, usercpu_time_millis_testing: 8.72, usercpu_time_millis_training: 302.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8577, kappa: 0.654, kb_relative_information_score: 15491.8541, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8566, prior_entropy: 0.863, recall: 0.8566, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7414, scimark_benchmark: 1850.2875, usercpu_time_millis: 359.727, usercpu_time_millis_testing: 8.573, usercpu_time_millis_training: 351.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9574, kappa: 0.8956, kb_relative_information_score: 28356.8785, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1853.3841, usercpu_time_millis: 375.545, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 373.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.936, kappa: 0.8416, kb_relative_information_score: 25870.6484, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4795, scimark_benchmark: 1853.454, usercpu_time_millis: 385.152, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 383.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9534, kappa: 0.8854, kb_relative_information_score: 27677.7515, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4214, scimark_benchmark: 1850.4852, usercpu_time_millis: 369.686, usercpu_time_millis_testing: 4.986, usercpu_time_millis_training: 364.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9462, kappa: 0.8668, kb_relative_information_score: 25663.5601, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4554, scimark_benchmark: 1849.7595, usercpu_time_millis: 392.614, usercpu_time_millis_testing: 15.528, usercpu_time_millis_training: 377.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8584, kappa: 0.6521, kb_relative_information_score: 15266.9651, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7323, scimark_benchmark: 1823.8876, usercpu_time_millis: 149.923, usercpu_time_millis_testing: 6.091, usercpu_time_millis_training: 143.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8986, kappa: 0.7495, kb_relative_information_score: 19741.1928, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8982, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5964, scimark_benchmark: 1852.9988, usercpu_time_millis: 176.788, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 174.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8587, kappa: 0.6528, kb_relative_information_score: 15083.9249, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8592, prior_entropy: 0.863, recall: 0.8592, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.7287, scimark_benchmark: 1853.3841, usercpu_time_millis: 192.599, usercpu_time_millis_testing: 6.86, usercpu_time_millis_training: 185.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8581, kappa: 0.6516, kb_relative_information_score: 15563.4847, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8583, prior_entropy: 0.863, recall: 0.8583, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7378, scimark_benchmark: 1850.3603, usercpu_time_millis: 205.88, usercpu_time_millis_testing: 7.83, usercpu_time_millis_training: 198.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9529, kappa: 0.8844, kb_relative_information_score: 27762.5001, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4225, scimark_benchmark: 1850.9434, usercpu_time_millis: 173.916, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 172.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9265, kappa: 0.8168, kb_relative_information_score: 21821.7587, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5394, scimark_benchmark: 1854.4951, usercpu_time_millis: 207.629, usercpu_time_millis_testing: 8.65, usercpu_time_millis_training: 198.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8633, kappa: 0.6652, kb_relative_information_score: 16280.1569, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8634, predictive_accuracy: 0.8632, prior_entropy: 0.863, recall: 0.8632, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6993, scimark_benchmark: 1852.9988, usercpu_time_millis: 181.005, usercpu_time_millis_testing: 4.995, usercpu_time_millis_training: 176.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28703.4668, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1846.6923, usercpu_time_millis: 189.945, usercpu_time_millis_testing: 2.679, usercpu_time_millis_training: 187.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8666, kappa: 0.673, kb_relative_information_score: 16280.2473, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.863, recall: 0.8667, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6808, scimark_benchmark: 1816.255, usercpu_time_millis: 216.749, usercpu_time_millis_testing: 8.749, usercpu_time_millis_training: 208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9383, kappa: 0.8468, kb_relative_information_score: 24263.1281, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4884, scimark_benchmark: 1846.1643, usercpu_time_millis: 250.926, usercpu_time_millis_testing: 9.906, usercpu_time_millis_training: 241.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.92, kappa: 0.799, kb_relative_information_score: 24688.6074, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5133, scimark_benchmark: 1834.1796, usercpu_time_millis: 217.317, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 215.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9364, kappa: 0.8426, kb_relative_information_score: 25459.4114, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4813, scimark_benchmark: 1853.9121, usercpu_time_millis: 268.451, usercpu_time_millis_testing: 5.762, usercpu_time_millis_training: 262.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8576, kappa: 0.6539, kb_relative_information_score: 15504.4054, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8591, predictive_accuracy: 0.8566, prior_entropy: 0.863, recall: 0.8566, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7417, scimark_benchmark: 1851.3287, usercpu_time_millis: 266.648, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 260.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9217, kappa: 0.8028, kb_relative_information_score: 18394.859, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6004, scimark_benchmark: 1849.7595, usercpu_time_millis: 287.835, usercpu_time_millis_testing: 22.205, usercpu_time_millis_training: 265.63,

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