OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9303, kappa: 0.8264, kb_relative_information_score: 22912.6417, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5176, scimark_benchmark: 1715.5791, usercpu_time_millis: 222.312, usercpu_time_millis_testing: 4.536, usercpu_time_millis_training: 217.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8789, kappa: 0.6915, kb_relative_information_score: 12975.3994, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8944, predictive_accuracy: 0.8867, prior_entropy: 0.863, recall: 0.8867, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.719, scimark_benchmark: 1725.8551, usercpu_time_millis: 163.954, usercpu_time_millis_testing: 11.193, usercpu_time_millis_training: 152.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9129, kappa: 0.7832, kb_relative_information_score: 20855.6006, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9137, predictive_accuracy: 0.9145, prior_entropy: 0.863, recall: 0.9145, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5707, scimark_benchmark: 1738.3274, usercpu_time_millis: 117.255, usercpu_time_millis_testing: 2.388, usercpu_time_millis_training: 114.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9168, kappa: 0.7907, kb_relative_information_score: 24219.5677, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5203, scimark_benchmark: 1731.9373, usercpu_time_millis: 229.897, usercpu_time_millis_testing: 2.562, usercpu_time_millis_training: 227.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.8877, 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: 1737.9267, usercpu_time_millis: 47.335, usercpu_time_millis_testing: 7.478, usercpu_time_millis_training: 39.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8793, kappa: 0.7051, kb_relative_information_score: 17944.1835, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8797, predictive_accuracy: 0.879, prior_entropy: 0.863, recall: 0.879, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6386, scimark_benchmark: 1733.3606, usercpu_time_millis: 39.469, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 38.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.2749, 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: 1721.3501, usercpu_time_millis: 28.601, usercpu_time_millis_testing: 4.654, usercpu_time_millis_training: 23.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.3126, 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: 1755.0043, usercpu_time_millis: 20.141, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 18.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9166, kappa: 0.7904, kb_relative_information_score: 21518.0466, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5538, scimark_benchmark: 1806.8139, usercpu_time_millis: 151.021, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 148.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9158, kappa: 0.7884, kb_relative_information_score: 23605.7587, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5273, scimark_benchmark: 1791.1322, usercpu_time_millis: 125.629, usercpu_time_millis_testing: 1.833, usercpu_time_millis_training: 123.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8681, kappa: 0.6769, kb_relative_information_score: 15982.273, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.863, recall: 0.8681, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6831, scimark_benchmark: 1797.6782, usercpu_time_millis: 32.946, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 32.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.9541, 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: 1811.7664, usercpu_time_millis: 29.593, usercpu_time_millis_testing: 3.109, usercpu_time_millis_training: 26.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9494, kappa: 0.8758, kb_relative_information_score: 27098.9886, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401, scimark_benchmark: 1853.3841, usercpu_time_millis: 2306.776, usercpu_time_millis_testing: 13.295, usercpu_time_millis_training: 2293.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9404, kappa: 0.8529, kb_relative_information_score: 26279.5548, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678, scimark_benchmark: 1850.2875, usercpu_time_millis: 3798.898, usercpu_time_millis_testing: 14.416, usercpu_time_millis_training: 3784.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28833.8893, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3815, scimark_benchmark: 1714.6802, usercpu_time_millis: 1789.766, usercpu_time_millis_testing: 13.721, usercpu_time_millis_training: 1776.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9545, kappa: 0.8883, kb_relative_information_score: 27839.8076, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4171, scimark_benchmark: 1721.8007, usercpu_time_millis: 1156.69, usercpu_time_millis_testing: 6.538, usercpu_time_millis_training: 1150.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.967, kappa: 0.9189, kb_relative_information_score: 29666.8749, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1718.6781, usercpu_time_millis: 1703.368, usercpu_time_millis_testing: 6.291, usercpu_time_millis_training: 1697.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.914, kappa: 0.7861, kb_relative_information_score: 23523.4293, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9147, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5313, scimark_benchmark: 1851.4874, usercpu_time_millis: 645.218, usercpu_time_millis_testing: 8.695, usercpu_time_millis_training: 636.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.912, kappa: 0.7818, kb_relative_information_score: 22951.7021, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9122, predictive_accuracy: 0.9133, prior_entropy: 0.863, recall: 0.9133, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5449, scimark_benchmark: 1739.3217, usercpu_time_millis: 1357.484, usercpu_time_millis_testing: 8.179, usercpu_time_millis_training: 1349.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9523, kappa: 0.8832, kb_relative_information_score: 27747.7507, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, scimark_benchmark: 1850.0581, usercpu_time_millis: 341.97, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 340.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9178, kappa: 0.7933, kb_relative_information_score: 24221.4738, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5172, scimark_benchmark: 1729.3292, usercpu_time_millis: 159.256, usercpu_time_millis_testing: 2.06, usercpu_time_millis_training: 157.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9382, kappa: 0.847, kb_relative_information_score: 25934.5237, mean_absolute_error: 0.1053, 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: 0.2581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4737, scimark_benchmark: 1729.7915, usercpu_time_millis: 91.36, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 89.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.7581, 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: 1724.8648, usercpu_time_millis: 52.322, usercpu_time_millis_testing: 7.597, usercpu_time_millis_training: 44.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9496, kappa: 0.876, kb_relative_information_score: 26916.3449, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4384, scimark_benchmark: 1755.0117, usercpu_time_millis: 70.159, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 68.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9376, kappa: 0.8459, kb_relative_information_score: 26154.4192, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4752, scimark_benchmark: 1899.5596, usercpu_time_millis: 1682.615, usercpu_time_millis_testing: 6.117, usercpu_time_millis_training: 1676.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9617, kappa: 0.9061, kb_relative_information_score: 29004.3837, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1709.4503, usercpu_time_millis: 22.783, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 22.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9367, kappa: 0.8432, kb_relative_information_score: 25704.1704, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4821, scimark_benchmark: 1729.2681, usercpu_time_millis: 955.468, usercpu_time_millis_testing: 8.953, usercpu_time_millis_training: 946.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9597, kappa: 0.9013, kb_relative_information_score: 28508.2123, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3919, scimark_benchmark: 1895.9061, usercpu_time_millis: 1610.371, usercpu_time_millis_testing: 9.67, usercpu_time_millis_training: 1600.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9431, kappa: 0.8599, kb_relative_information_score: 26248.121, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 1728.9285, usercpu_time_millis: 857.41, usercpu_time_millis_testing: 10.716, usercpu_time_millis_training: 846.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9495, kappa: 0.876, kb_relative_information_score: 27320.8743, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4358, scimark_benchmark: 1707.2643, usercpu_time_millis: 7140.519, usercpu_time_millis_testing: 47.077, usercpu_time_millis_training: 7093.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9482, kappa: 0.8728, kb_relative_information_score: 26934.6158, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4435, scimark_benchmark: 1890.9941, usercpu_time_millis: 901.388, usercpu_time_millis_testing: 11.5, usercpu_time_millis_training: 889.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8601, kappa: 0.6564, kb_relative_information_score: 15143.297, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8598, predictive_accuracy: 0.8604, prior_entropy: 0.863, recall: 0.8604, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7198, scimark_benchmark: 1730.1903, usercpu_time_millis: 207.755, usercpu_time_millis_testing: 8.471, usercpu_time_millis_training: 199.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29286.8372, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1731.0996, usercpu_time_millis: 144.896, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 140.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8697, kappa: 0.681, kb_relative_information_score: 16001.1702, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.863, recall: 0.8696, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6807, scimark_benchmark: 1703.4448, usercpu_time_millis: 53.897, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 52.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9372, kappa: 0.8447, kb_relative_information_score: 25928.1128, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.475, scimark_benchmark: 1735.1328, usercpu_time_millis: 27.768, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 27.326,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29419.3103, mean_absolute_error: 0.0636, 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: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1742.4083, usercpu_time_millis: 349.833, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 346.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8769, kappa: 0.6989, kb_relative_information_score: 16695.1434, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8771, predictive_accuracy: 0.8767, prior_entropy: 0.863, recall: 0.8767, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6566, scimark_benchmark: 1731.5821, usercpu_time_millis: 233.661, usercpu_time_millis_testing: 8.593, usercpu_time_millis_training: 225.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 27993.4938, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4091, scimark_benchmark: 2120.4996, usercpu_time_millis: 1347.962, usercpu_time_millis_testing: 14.242, usercpu_time_millis_training: 1333.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9172, kappa: 0.792, kb_relative_information_score: 22384.7629, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5387, scimark_benchmark: 1726.0704, usercpu_time_millis: 700.823, usercpu_time_millis_testing: 9.238, usercpu_time_millis_training: 691.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 26374.1834, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4371, scimark_benchmark: 1815.2477, usercpu_time_millis: 631.258, usercpu_time_millis_testing: 18.403, usercpu_time_millis_training: 612.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 28089.6977, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3979, scimark_benchmark: 1809.3271, usercpu_time_millis: 521.942, usercpu_time_millis_testing: 12.684, usercpu_time_millis_training: 509.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9492, kappa: 0.8752, kb_relative_information_score: 26803.9743, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4395, scimark_benchmark: 1725.2587, usercpu_time_millis: 488.395, usercpu_time_millis_testing: 7.803, usercpu_time_millis_training: 480.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9506, kappa: 0.8787, kb_relative_information_score: 26978.7022, mean_absolute_error: 0.0937, 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: 0.2297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4369, scimark_benchmark: 1781.6651, usercpu_time_millis: 418.826, usercpu_time_millis_testing: 10.565, usercpu_time_millis_training: 408.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9564, kappa: 0.893, kb_relative_information_score: 27634.8596, mean_absolute_error: 0.0862, 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: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4116, scimark_benchmark: 1734.4679, usercpu_time_millis: 369.739, usercpu_time_millis_testing: 9.45, usercpu_time_millis_training: 360.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9477, kappa: 0.8703, kb_relative_information_score: 23631.3409, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4852, scimark_benchmark: 1779.3898, usercpu_time_millis: 394.607, usercpu_time_millis_testing: 23.103, usercpu_time_millis_training: 371.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9445, kappa: 0.8627, kb_relative_information_score: 25584.9163, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4597, scimark_benchmark: 1801.6523, usercpu_time_millis: 326.053, usercpu_time_millis_testing: 9.222, usercpu_time_millis_training: 316.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9479, kappa: 0.8715, kb_relative_information_score: 26122.238, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1799.4853, usercpu_time_millis: 302.862, usercpu_time_millis_testing: 11.439, usercpu_time_millis_training: 291.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9244, kappa: 0.8112, kb_relative_information_score: 22176.9505, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5346, scimark_benchmark: 1758.8335, usercpu_time_millis: 264.924, usercpu_time_millis_testing: 11.979, usercpu_time_millis_training: 252.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9151, kappa: 0.7863, kb_relative_information_score: 24359.3447, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9204, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5291, scimark_benchmark: 1780.1997, usercpu_time_millis: 283.327, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 281.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8693, kappa: 0.6821, kb_relative_information_score: 17558.8037, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8706, predictive_accuracy: 0.8684, prior_entropy: 0.863, recall: 0.8684, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6804, scimark_benchmark: 1744.4053, usercpu_time_millis: 212.47, usercpu_time_millis_testing: 3.975, usercpu_time_millis_training: 208.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8585, kappa: 0.6524, kb_relative_information_score: 15585.9191, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7325, scimark_benchmark: 1746.3342, usercpu_time_millis: 192.412, usercpu_time_millis_testing: 6.659, usercpu_time_millis_training: 185.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9387, kappa: 0.8478, kb_relative_information_score: 21697.499, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5329, scimark_benchmark: 1729.0764, usercpu_time_millis: 90.201, usercpu_time_millis_testing: 5.802, usercpu_time_millis_training: 84.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9354, kappa: 0.8399, kb_relative_information_score: 24957.4829, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.486, scimark_benchmark: 1748.7036, usercpu_time_millis: 83.313, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 81.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8788, kappa: 0.6917, kb_relative_information_score: 12703.2522, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8921, predictive_accuracy: 0.8861, prior_entropy: 0.863, recall: 0.8861, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7244, scimark_benchmark: 1773.5214, usercpu_time_millis: 71.943, usercpu_time_millis_testing: 3.76, usercpu_time_millis_training: 68.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29008.902, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671, scimark_benchmark: 1806.5013, usercpu_time_millis: 64.127, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 62.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9626, kappa: 0.908, kb_relative_information_score: 28657.7583, mean_absolute_error: 0.0738, 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: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3793, scimark_benchmark: 1808.4562, usercpu_time_millis: 65.611, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 63.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9611, kappa: 0.9039, kb_relative_information_score: 26665.1821, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067, scimark_benchmark: 1733.3037, usercpu_time_millis: 24.437, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 23.273,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9473, kappa: 0.8703, kb_relative_information_score: 26741.1714, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4465, scimark_benchmark: 1742.6036, usercpu_time_millis: 60.635, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 58.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3748, 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: 1797.2973, usercpu_time_millis: 46.092, usercpu_time_millis_testing: 8.437, usercpu_time_millis_training: 37.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9358, kappa: 0.841, kb_relative_information_score: 25726.1208, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4847, scimark_benchmark: 1787.2729, usercpu_time_millis: 41.119, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 39.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0305, 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: 1766.8843, usercpu_time_millis: 42.949, usercpu_time_millis_testing: 5.761, usercpu_time_millis_training: 37.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.9762, 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: 1768.3319, usercpu_time_millis: 14.77, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 14.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9417, kappa: 0.8566, kb_relative_information_score: 26578.7995, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4669, scimark_benchmark: 1838.2459, usercpu_time_millis: 4035.413, usercpu_time_millis_testing: 11.154, usercpu_time_millis_training: 4024.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9344, kappa: 0.8372, kb_relative_information_score: 25376.6033, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4934, scimark_benchmark: 1727.6743, usercpu_time_millis: 3125.468, usercpu_time_millis_testing: 17.611, usercpu_time_millis_training: 3107.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9306, kappa: 0.8272, kb_relative_information_score: 25120.3034, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5044, scimark_benchmark: 1759.2826, usercpu_time_millis: 2405.275, usercpu_time_millis_testing: 8.104, usercpu_time_millis_training: 2397.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9502, kappa: 0.878, kb_relative_information_score: 27784.795, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281, scimark_benchmark: 1997.3452, usercpu_time_millis: 2338.386, usercpu_time_millis_testing: 6.547, usercpu_time_millis_training: 2331.839,

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