Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9422, kappa: 0.8578, kb_relative_information_score: 26413.9834, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4588, scimark_benchmark: 1279.0243, usercpu_time_millis: 8281.93, usercpu_time_millis_testing: 24.881, usercpu_time_millis_training: 8257.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29698.8931, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3552, scimark_benchmark: 1293.0139, usercpu_time_millis: 5648.308, usercpu_time_millis_testing: 30.155, usercpu_time_millis_training: 5618.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 30350.6284, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403, scimark_benchmark: 1254.7927, usercpu_time_millis: 1898.705, usercpu_time_millis_testing: 4.843, usercpu_time_millis_training: 1893.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9393, kappa: 0.8496, kb_relative_information_score: 19992.5383, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5432, scimark_benchmark: 1283.1586, usercpu_time_millis: 565.46, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 562.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9454, kappa: 0.866, kb_relative_information_score: 27771.1296, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, scimark_benchmark: 1254.0378, usercpu_time_millis: 7059.154, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 7058.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9274, kappa: 0.8206, kb_relative_information_score: 22354.7678, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5371, scimark_benchmark: 1264.7, usercpu_time_millis: 12068.762, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 12067.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29630.1812, mean_absolute_error: 0.0613, 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: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3501, scimark_benchmark: 1285.7077, usercpu_time_millis: 459.338, usercpu_time_millis_testing: 9.418, usercpu_time_millis_training: 449.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9384, kappa: 0.8485, kb_relative_information_score: 25685.85, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1260.644, usercpu_time_millis: 1165.764, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 1164.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9396, kappa: 0.8516, kb_relative_information_score: 26930.1818, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4623, scimark_benchmark: 1279.7398, usercpu_time_millis: 9904.178, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 9903.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29538.3596, mean_absolute_error: 0.0617, 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: 0.1511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1295.7811, usercpu_time_millis: 4456.748, usercpu_time_millis_testing: 16.44, usercpu_time_millis_training: 4440.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29135.5531, mean_absolute_error: 0.0671, 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: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1285.1986, usercpu_time_millis: 1042.592, usercpu_time_millis_testing: 14.459, usercpu_time_millis_training: 1028.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.962, kappa: 0.9067, kb_relative_information_score: 28323.3614, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1280.2798, usercpu_time_millis: 196.264, usercpu_time_millis_testing: 11.816, usercpu_time_millis_training: 184.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9479, kappa: 0.872, kb_relative_information_score: 28232.6547, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4288, scimark_benchmark: 1274.8283, usercpu_time_millis: 11805.108, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 11804.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29430.9393, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3564, scimark_benchmark: 1259.9462, usercpu_time_millis: 3436.791, usercpu_time_millis_testing: 50.233, usercpu_time_millis_training: 3386.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29163.9257, mean_absolute_error: 0.0667, 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: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3706, scimark_benchmark: 1275.1892, usercpu_time_millis: 12964.886, usercpu_time_millis_testing: 91.602, usercpu_time_millis_training: 12873.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9462, kappa: 0.8668, kb_relative_information_score: 24281.4544, mean_absolute_error: 0.1351, 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: 0.331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4714, scimark_benchmark: 1269.3253, usercpu_time_millis: 4888.415, usercpu_time_millis_testing: 31.972, usercpu_time_millis_training: 4856.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.937, kappa: 0.8452, kb_relative_information_score: 25250.267, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4838, scimark_benchmark: 1279.9337, usercpu_time_millis: 11882.249, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 11881.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 28582.8288, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4207, scimark_benchmark: 1267.2058, usercpu_time_millis: 12533.834, usercpu_time_millis_testing: 105.813, usercpu_time_millis_training: 12428.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29600.8077, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533, scimark_benchmark: 1274.395, usercpu_time_millis: 1220.619, usercpu_time_millis_testing: 16.533, usercpu_time_millis_training: 1204.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29419.2101, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3636, scimark_benchmark: 1292.2542, usercpu_time_millis: 16435.278, usercpu_time_millis_testing: 75.241, usercpu_time_millis_training: 16360.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9435, kappa: 0.8612, kb_relative_information_score: 27152.4879, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4495, scimark_benchmark: 1255.7779, usercpu_time_millis: 8811.338, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 8810.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9369, kappa: 0.8445, kb_relative_information_score: 25866.3714, mean_absolute_error: 0.1064, 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: 0.2607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4814, scimark_benchmark: 1289.6603, usercpu_time_millis: 6801.541, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 6800.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 29565.3401, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3825, scimark_benchmark: 1279.8409, usercpu_time_millis: 14014.62, usercpu_time_millis_testing: 60.173, usercpu_time_millis_training: 13954.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9449, kappa: 0.8648, kb_relative_information_score: 27491.2109, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4419, scimark_benchmark: 1260.0825, usercpu_time_millis: 7434.406, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 7433.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9355, kappa: 0.8412, kb_relative_information_score: 25722.598, mean_absolute_error: 0.1084, 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: 0.2656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4843, scimark_benchmark: 1286.2605, usercpu_time_millis: 11584.111, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 11583.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 29578.5837, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1273.261, usercpu_time_millis: 10226.48, usercpu_time_millis_testing: 81.703, usercpu_time_millis_training: 10144.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29880.8248, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489, scimark_benchmark: 1271.7883, usercpu_time_millis: 6139.246, usercpu_time_millis_testing: 33.782, usercpu_time_millis_training: 6105.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28919.7815, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3755, scimark_benchmark: 1273.7535, usercpu_time_millis: 3285.413, usercpu_time_millis_testing: 67.672, usercpu_time_millis_training: 3217.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9448, kappa: 0.8645, kb_relative_information_score: 27332.4955, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4463, scimark_benchmark: 1255.9877, usercpu_time_millis: 11365.687, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 11364.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 29035.58, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1298.639, usercpu_time_millis: 11089.018, usercpu_time_millis_testing: 62.408, usercpu_time_millis_training: 11026.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29063.8943, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, scimark_benchmark: 1276.3904, usercpu_time_millis: 1145.942, usercpu_time_millis_testing: 25.53, usercpu_time_millis_training: 1120.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9439, kappa: 0.8622, kb_relative_information_score: 27263.0283, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4472, scimark_benchmark: 1259.0372, usercpu_time_millis: 9534.007, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 9533.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9607, kappa: 0.9036, kb_relative_information_score: 28740.3536, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859, scimark_benchmark: 1276.4719, usercpu_time_millis: 1646.446, usercpu_time_millis_testing: 16.848, usercpu_time_millis_training: 1629.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9349, kappa: 0.84, kb_relative_information_score: 24605.5335, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4963, scimark_benchmark: 1268.3562, usercpu_time_millis: 9329.697, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 9328.849,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 29128.3792, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 1302.0665, usercpu_time_millis: 7868.693, usercpu_time_millis_testing: 36.937, usercpu_time_millis_training: 7831.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29347.8884, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3564, scimark_benchmark: 1267.985, usercpu_time_millis: 368.042, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 357.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9447, kappa: 0.8641, kb_relative_information_score: 27490.4352, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4429, scimark_benchmark: 1260.236, usercpu_time_millis: 13106.088, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 13105.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.939, kappa: 0.8503, kb_relative_information_score: 26559.8284, mean_absolute_error: 0.0968, 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: 0.2372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4688, scimark_benchmark: 1271.3, usercpu_time_millis: 1434.99, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 1434.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.934, kappa: 0.8376, kb_relative_information_score: 24610.5943, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1269.381, usercpu_time_millis: 3218.817, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 3217.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9348, kappa: 0.8395, kb_relative_information_score: 24209.5698, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5017, scimark_benchmark: 1294.881, usercpu_time_millis: 9302.924, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 9302.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29364.4164, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3707, scimark_benchmark: 1299.8912, usercpu_time_millis: 1275.515, usercpu_time_millis_testing: 8.376, usercpu_time_millis_training: 1267.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9423, kappa: 0.8583, kb_relative_information_score: 27301.9308, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4523, scimark_benchmark: 1294.4346, usercpu_time_millis: 2335.044, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 2334.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9295, kappa: 0.8259, kb_relative_information_score: 22242.1184, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9294, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5381, scimark_benchmark: 1272.7106, usercpu_time_millis: 11073.837, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 11073.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28868.976, mean_absolute_error: 0.0706, 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: 0.173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3772, scimark_benchmark: 1276.9299, usercpu_time_millis: 4412.038, usercpu_time_millis_testing: 86.668, usercpu_time_millis_training: 4325.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9283, kappa: 0.8234, kb_relative_information_score: 23063.7076, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5299, scimark_benchmark: 1290.7015, usercpu_time_millis: 2227.393, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 2226.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9501, kappa: 0.8771, kb_relative_information_score: 27246.1575, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1269.4047, usercpu_time_millis: 13661.112, usercpu_time_millis_testing: 76.165, usercpu_time_millis_training: 13584.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9273, kappa: 0.8209, kb_relative_information_score: 22285.6871, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5427, scimark_benchmark: 1298.8091, usercpu_time_millis: 11411.468, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 11410.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29639.223, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1301.2377, usercpu_time_millis: 3250.592, usercpu_time_millis_testing: 16.646, usercpu_time_millis_training: 3233.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9324, kappa: 0.8336, kb_relative_information_score: 24432.5335, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5047, scimark_benchmark: 1267.2553, usercpu_time_millis: 3219.578, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 3218.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29678.9854, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.353, scimark_benchmark: 1268.1115, usercpu_time_millis: 14821.63, usercpu_time_millis_testing: 78.02, usercpu_time_millis_training: 14743.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29656.4073, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3519, scimark_benchmark: 1290.2282, usercpu_time_millis: 9380.017, usercpu_time_millis_testing: 76.177, usercpu_time_millis_training: 9303.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29677.0663, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1273.7557, usercpu_time_millis: 10307.062, usercpu_time_millis_testing: 46.802, usercpu_time_millis_training: 10260.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 28914.8711, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1270.2516, usercpu_time_millis: 6000.048, usercpu_time_millis_testing: 97.529, usercpu_time_millis_training: 5902.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29054.9829, mean_absolute_error: 0.0681, 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: 0.1668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.374, scimark_benchmark: 1280.7611, usercpu_time_millis: 9662.131, usercpu_time_millis_testing: 97.425, usercpu_time_millis_training: 9564.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.946, kappa: 0.8671, kb_relative_information_score: 26592.5022, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1292.0164, usercpu_time_millis: 3306.641, usercpu_time_millis_testing: 9.598, usercpu_time_millis_training: 3297.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9401, kappa: 0.8528, kb_relative_information_score: 27138.3603, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4674, scimark_benchmark: 1299.2118, usercpu_time_millis: 12952.252, usercpu_time_millis_testing: 139.777, usercpu_time_millis_training: 12812.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 28943.9234, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3768, scimark_benchmark: 1273.9166, usercpu_time_millis: 5814.043, usercpu_time_millis_testing: 71.697, usercpu_time_millis_training: 5742.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9465, kappa: 0.8686, kb_relative_information_score: 27826.98, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4366, scimark_benchmark: 1290.908, usercpu_time_millis: 4166.357, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 4165.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9486, kappa: 0.8734, kb_relative_information_score: 28206.3037, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.435, scimark_benchmark: 1277.8268, usercpu_time_millis: 13106.17, usercpu_time_millis_testing: 128.018, usercpu_time_millis_training: 12978.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.927, kappa: 0.818, kb_relative_information_score: 16179.0755, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9286, prior_entropy: 0.863, recall: 0.9286, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.28, root_relative_squared_error: 0.6198, scimark_benchmark: 1288.9942, usercpu_time_millis: 4904.773, usercpu_time_millis_testing: 7.695, usercpu_time_millis_training: 4897.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9472, kappa: 0.8705, kb_relative_information_score: 28057.6207, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1266.4682, usercpu_time_millis: 5757.451, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 5756.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9642, kappa: 0.912, kb_relative_information_score: 29223.3498, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1272.72, usercpu_time_millis: 1734.45, usercpu_time_millis_testing: 14.969, usercpu_time_millis_training: 1719.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9496, kappa: 0.8763, kb_relative_information_score: 27343.1836, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303, scimark_benchmark: 1287.0374, usercpu_time_millis: 3253.153, usercpu_time_millis_testing: 12.633, usercpu_time_millis_training: 3240.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29768.0512, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3495, scimark_benchmark: 1291.4881, usercpu_time_millis: 2272.206, usercpu_time_millis_testing: 20.425, usercpu_time_millis_training: 2251.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9421, kappa: 0.8578, kb_relative_information_score: 27361.5814, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4577, scimark_benchmark: 1304.9061, usercpu_time_millis: 10470.355, usercpu_time_millis_testing: 103.771, usercpu_time_millis_training: 10366.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 30202.3022, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1299.3405, usercpu_time_millis: 14258.295, usercpu_time_millis_testing: 54.651, usercpu_time_millis_training: 14203.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9494, kappa: 0.8758, kb_relative_information_score: 28335.5157, mean_absolute_error: 0.0739, 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: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1292.6346, usercpu_time_millis: 8724.596, usercpu_time_millis_testing: 72.187, usercpu_time_millis_training: 8652.409,

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