OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 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: 0.9813, f_measure: 0.9279, kappa: 0.8202, kb_relative_information_score: 24659.9616, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5012, scimark_benchmark: 2145.7007, usercpu_time_millis: 53.299, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 51.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8582, kb_relative_information_score: 24936.1667, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4708, scimark_benchmark: 1854.4431, usercpu_time_millis: 48.951, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 46.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29154.2242, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727, scimark_benchmark: 1795.1736, usercpu_time_millis: 143.986, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 142.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29218.7112, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1855.0232, usercpu_time_millis: 199.719, usercpu_time_millis_testing: 4.911, usercpu_time_millis_training: 194.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.943, kappa: 0.8582, kb_relative_information_score: 22227.6215, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5185, scimark_benchmark: 1850.0363, usercpu_time_millis: 256.197, usercpu_time_millis_testing: 16.744, usercpu_time_millis_training: 239.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -8.4471, 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: 1855.4813, usercpu_time_millis: 26.948, usercpu_time_millis_testing: 4.329, usercpu_time_millis_training: 22.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.0229, 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: 1852.7487, usercpu_time_millis: 40.032, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 37.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 27173.3644, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1849.8294, usercpu_time_millis: 60.538, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 59.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9436, kappa: 0.8598, kb_relative_information_score: 22515.1079, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121, scimark_benchmark: 1851.8567, usercpu_time_millis: 122.87, usercpu_time_millis_testing: 7.174, usercpu_time_millis_training: 115.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9277, kappa: 0.8197, kb_relative_information_score: 23867.3461, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5071, scimark_benchmark: 1799.4768, usercpu_time_millis: 129.703, usercpu_time_millis_testing: 3.934, usercpu_time_millis_training: 125.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29233.0599, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1822.7699, usercpu_time_millis: 3053.715, usercpu_time_millis_testing: 13.932, usercpu_time_millis_training: 3039.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29208.3274, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702, scimark_benchmark: 1853.9121, usercpu_time_millis: 2457.748, usercpu_time_millis_testing: 6.996, usercpu_time_millis_training: 2450.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9472, kappa: 0.8704, kb_relative_information_score: 26933.9566, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4466, scimark_benchmark: 1996.9168, usercpu_time_millis: 4902.853, usercpu_time_millis_testing: 17.189, usercpu_time_millis_training: 4885.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9567, kappa: 0.8939, kb_relative_information_score: 28109.774, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4086, scimark_benchmark: 1996.5933, usercpu_time_millis: 5686.963, usercpu_time_millis_testing: 16.611, usercpu_time_millis_training: 5670.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9651, kappa: 0.9145, kb_relative_information_score: 29795.9672, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644, scimark_benchmark: 2055.4587, usercpu_time_millis: 6555.732, usercpu_time_millis_testing: 5.683, usercpu_time_millis_training: 6550.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9128, kappa: 0.7809, kb_relative_information_score: 23914.2507, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9173, predictive_accuracy: 0.9158, prior_entropy: 0.863, recall: 0.9158, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5394, scimark_benchmark: 2002.2008, usercpu_time_millis: 2333.892, usercpu_time_millis_testing: 2.802, usercpu_time_millis_training: 2331.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 29093.2007, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 2039.4086, usercpu_time_millis: 3915.828, usercpu_time_millis_testing: 9.581, usercpu_time_millis_training: 3906.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9296, kappa: 0.8244, kb_relative_information_score: 25023.6594, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5036, scimark_benchmark: 1992.636, usercpu_time_millis: 4066.524, usercpu_time_millis_testing: 6.766, usercpu_time_millis_training: 4059.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29169.5903, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3714, scimark_benchmark: 2150.1613, usercpu_time_millis: 857.117, usercpu_time_millis_testing: 4.481, usercpu_time_millis_training: 852.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29839.244, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 1856.0123, usercpu_time_millis: 1063.6, usercpu_time_millis_testing: 6.332, usercpu_time_millis_training: 1057.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8641, kappa: 0.6713, kb_relative_information_score: 17411.7068, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8626, prior_entropy: 0.863, recall: 0.8626, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.688, scimark_benchmark: 1849.3014, usercpu_time_millis: 1375.935, usercpu_time_millis_testing: 7.256, usercpu_time_millis_training: 1368.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8593, kappa: 0.6595, kb_relative_information_score: 17201.4552, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8618, predictive_accuracy: 0.8578, prior_entropy: 0.863, recall: 0.8578, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6962, scimark_benchmark: 1849.8294, usercpu_time_millis: 902.248, usercpu_time_millis_testing: 6.365, usercpu_time_millis_training: 895.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9508, kappa: 0.8793, kb_relative_information_score: 28157.4308, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, scimark_benchmark: 1855.0232, usercpu_time_millis: 1065.507, usercpu_time_millis_testing: 2.16, usercpu_time_millis_training: 1063.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9468, kappa: 0.8693, kb_relative_information_score: 26785.0555, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4482, scimark_benchmark: 1854.568, usercpu_time_millis: 1288.811, usercpu_time_millis_testing: 14.312, usercpu_time_millis_training: 1274.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29537.5891, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1851.8567, usercpu_time_millis: 1302.41, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 1293.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9579, kappa: 0.8966, kb_relative_information_score: 28459.3505, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1850.2875, usercpu_time_millis: 5522.78, usercpu_time_millis_testing: 12.709, usercpu_time_millis_training: 5510.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9163, kappa: 0.7895, kb_relative_information_score: 24548.0361, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5222, scimark_benchmark: 1847.2753, usercpu_time_millis: 3503.848, usercpu_time_millis_testing: 5.741, usercpu_time_millis_training: 3498.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9357, kappa: 0.8408, kb_relative_information_score: 26057.0006, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2508, 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: 4915.252, usercpu_time_millis_testing: 12.903, usercpu_time_millis_training: 4902.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9321, kappa: 0.8311, kb_relative_information_score: 25194.3465, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 1851.3986, usercpu_time_millis: 5244.636, usercpu_time_millis_testing: 12.166, usercpu_time_millis_training: 5232.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 30005.7778, mean_absolute_error: 0.0547, 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: 0.1339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 2076.1634, usercpu_time_millis: 1918.592, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 1916.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9247, kappa: 0.8118, kb_relative_information_score: 24488.2107, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.5052, scimark_benchmark: 1853.454, usercpu_time_millis: 19.086, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 18.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8339, 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: 1859.275, usercpu_time_millis: 37.868, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 34.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8594, kappa: 0.6538, kb_relative_information_score: 14765.8878, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8602, prior_entropy: 0.863, recall: 0.8602, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.7168, scimark_benchmark: 1853.454, usercpu_time_millis: 73.359, usercpu_time_millis_testing: 4.903, usercpu_time_millis_training: 68.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9241, kappa: 0.8108, kb_relative_information_score: 18433.077, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9257, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6044, scimark_benchmark: 1848.916, usercpu_time_millis: 150.897, usercpu_time_millis_testing: 7.138, usercpu_time_millis_training: 143.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28573.5171, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3813, scimark_benchmark: 1853.454, usercpu_time_millis: 286.385, usercpu_time_millis_testing: 9.762, usercpu_time_millis_training: 276.623,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28766.5831, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1712.0526, usercpu_time_millis: 2862.493, usercpu_time_millis_testing: 19.521, usercpu_time_millis_training: 2842.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28483.6601, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1733.0529, usercpu_time_millis: 3895.284, usercpu_time_millis_testing: 10.205, usercpu_time_millis_training: 3885.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9509, kappa: 0.8794, kb_relative_information_score: 27426.727, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1817.1684, usercpu_time_millis: 1145.358, usercpu_time_millis_testing: 6.059, usercpu_time_millis_training: 1139.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9349, kappa: 0.8385, kb_relative_information_score: 25380.4556, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1827.9533, usercpu_time_millis: 1212.539, usercpu_time_millis_testing: 7.951, usercpu_time_millis_training: 1204.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9152, kappa: 0.7865, kb_relative_information_score: 24311.9714, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1827.9533, usercpu_time_millis: 1305.898, usercpu_time_millis_testing: 5.132, usercpu_time_millis_training: 1300.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28730.3871, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1822.3911, usercpu_time_millis: 1235.578, usercpu_time_millis_testing: 9.507, usercpu_time_millis_training: 1226.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9456, kappa: 0.866, kb_relative_information_score: 26800.9379, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4535, scimark_benchmark: 1849.2344, usercpu_time_millis: 1403.017, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 1398.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.958, kappa: 0.897, kb_relative_information_score: 28616.1267, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3979, scimark_benchmark: 1121.8669, usercpu_time_millis: 1296.686, usercpu_time_millis_testing: 3.599, usercpu_time_millis_training: 1293.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28923.6371, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1710.2524, usercpu_time_millis: 1428.307, usercpu_time_millis_testing: 15.43, usercpu_time_millis_training: 1412.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29473.4143, mean_absolute_error: 0.0628, 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: 0.1538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1702.3343, usercpu_time_millis: 2110.831, usercpu_time_millis_testing: 9.364, usercpu_time_millis_training: 2101.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9247, kappa: 0.8115, kb_relative_information_score: 24594.2741, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5047, scimark_benchmark: 1717.4179, usercpu_time_millis: 692.318, usercpu_time_millis_testing: 13.096, usercpu_time_millis_training: 679.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 26663.3497, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4358, scimark_benchmark: 1718.2809, usercpu_time_millis: 85.124, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 82.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.916, kappa: 0.7887, kb_relative_information_score: 24406.0814, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5223, scimark_benchmark: 1731.9752, usercpu_time_millis: 835.661, usercpu_time_millis_testing: 9.939, usercpu_time_millis_training: 825.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.6734, 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: 1096.1786, usercpu_time_millis: 66.156, usercpu_time_millis_testing: 8.207, usercpu_time_millis_training: 57.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8696, kappa: 0.6821, kb_relative_information_score: 17423.1812, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.869, prior_entropy: 0.863, recall: 0.869, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.675, scimark_benchmark: 1112.3881, usercpu_time_millis: 74.786, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 73.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8997, kappa: 0.7495, kb_relative_information_score: 14947.2291, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9008, predictive_accuracy: 0.902, prior_entropy: 0.863, recall: 0.902, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6786, scimark_benchmark: 1747.5026, usercpu_time_millis: 78.615, usercpu_time_millis_testing: 7.359, usercpu_time_millis_training: 71.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29542.3017, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1746.2155, usercpu_time_millis: 1314.848, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 1311.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9382, kappa: 0.8472, kb_relative_information_score: 25975.3887, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4708, scimark_benchmark: 1733.8711, usercpu_time_millis: 726.26, usercpu_time_millis_testing: 7.97, usercpu_time_millis_training: 718.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28562.9626, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1850.8706, usercpu_time_millis: 15.055, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 14.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9557, kappa: 0.8912, kb_relative_information_score: 27973.77, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.411, scimark_benchmark: 1819.0184, usercpu_time_millis: 514.562, usercpu_time_millis_testing: 4.41, usercpu_time_millis_training: 510.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.953, kappa: 0.8846, kb_relative_information_score: 27652.9909, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251, scimark_benchmark: 1853.9121, usercpu_time_millis: 510.358, usercpu_time_millis_testing: 2.95, usercpu_time_millis_training: 507.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9229, kappa: 0.8068, kb_relative_information_score: 24667.2247, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5073, scimark_benchmark: 1829.9217, usercpu_time_millis: 644.142, usercpu_time_millis_testing: 10.746, usercpu_time_millis_training: 633.396,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.915, kappa: 0.7884, kb_relative_information_score: 23025.5029, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9159, predictive_accuracy: 0.9166, prior_entropy: 0.863, recall: 0.9166, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1953.4165, usercpu_time_millis: 115.711, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 114.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9223, kappa: 0.8052, kb_relative_information_score: 24700.9632, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5087, scimark_benchmark: 1750.0765, usercpu_time_millis: 328.413, usercpu_time_millis_testing: 3.464, usercpu_time_millis_training: 324.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28432.047, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1721.2871, usercpu_time_millis: 1666.768, usercpu_time_millis_testing: 18.532, usercpu_time_millis_training: 1648.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9391, kappa: 0.8496, kb_relative_information_score: 26113.9362, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4698, scimark_benchmark: 1752.1119, usercpu_time_millis: 2896.331, usercpu_time_millis_testing: 15.871, usercpu_time_millis_training: 2880.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9148, kappa: 0.7856, kb_relative_information_score: 24283.3017, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5338, scimark_benchmark: 1769.9783, usercpu_time_millis: 320.199, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 318.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9546, kappa: 0.8886, kb_relative_information_score: 27821.1894, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.417, scimark_benchmark: 1789.4045, usercpu_time_millis: 491.385, usercpu_time_millis_testing: 3.537, usercpu_time_millis_training: 487.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.6892, 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: 1756.5828, usercpu_time_millis: 37.891, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 33.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.945, kappa: 0.8646, kb_relative_information_score: 26694.4069, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508, scimark_benchmark: 1768.5343, usercpu_time_millis: 2280.698, usercpu_time_millis_testing: 19.2, usercpu_time_millis_training: 2261.498,

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