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: 0.9862, f_measure: 0.9412, kappa: 0.8538, kb_relative_information_score: 22245.8156, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5204, scimark_benchmark: 1255.2977, usercpu_time_millis: 75.769, usercpu_time_millis_testing: 4.745, usercpu_time_millis_training: 71.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 28409.5114, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3905, scimark_benchmark: 1231.427, usercpu_time_millis: 520.157, usercpu_time_millis_testing: 18.416, usercpu_time_millis_training: 501.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9652, kappa: 0.9144, kb_relative_information_score: 29018.1807, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1266.2017, usercpu_time_millis: 1720.824, usercpu_time_millis_testing: 44.895, usercpu_time_millis_training: 1675.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 29770.3686, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, scimark_benchmark: 1262.6334, usercpu_time_millis: 1857.948, usercpu_time_millis_testing: 31.278, usercpu_time_millis_training: 1826.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 28489.0017, mean_absolute_error: 0.0772, 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: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3758, scimark_benchmark: 1263.3867, usercpu_time_millis: 1058.013, usercpu_time_millis_testing: 31.449, usercpu_time_millis_training: 1026.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9594, kappa: 0.9005, kb_relative_information_score: 28464.0511, mean_absolute_error: 0.075, 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: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1242.76, usercpu_time_millis: 3209.743, usercpu_time_millis_testing: 27.761, usercpu_time_millis_training: 3181.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.958, kappa: 0.897, kb_relative_information_score: 27961.8067, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4026, scimark_benchmark: 1264.1929, usercpu_time_millis: 2685.022, usercpu_time_millis_testing: 48.459, usercpu_time_millis_training: 2636.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9419, kappa: 0.8559, kb_relative_information_score: 22826.5314, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1260.6781, usercpu_time_millis: 862.664, usercpu_time_millis_testing: 57.577, usercpu_time_millis_training: 805.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29168.0364, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703, scimark_benchmark: 1240.3429, usercpu_time_millis: 3328.239, usercpu_time_millis_testing: 31.869, usercpu_time_millis_training: 3296.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9634, kappa: 0.9099, kb_relative_information_score: 28296.37, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.38, scimark_benchmark: 1267.7722, usercpu_time_millis: 269.051, usercpu_time_millis_testing: 17.048, usercpu_time_millis_training: 252.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9472, kappa: 0.8693, kb_relative_information_score: 25552.3107, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4563, scimark_benchmark: 1262.8491, usercpu_time_millis: 119.663, usercpu_time_millis_testing: 6.878, usercpu_time_millis_training: 112.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9488, kappa: 0.8734, kb_relative_information_score: 25794.7258, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4493, scimark_benchmark: 1271.7715, usercpu_time_millis: 368.939, usercpu_time_millis_testing: 14.534, usercpu_time_millis_training: 354.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9564, kappa: 0.8922, kb_relative_information_score: 26273.7697, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1271.5482, usercpu_time_millis: 1787.803, usercpu_time_millis_testing: 100.057, usercpu_time_millis_training: 1687.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29285.8726, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3493, scimark_benchmark: 1266.7398, usercpu_time_millis: 827.803, usercpu_time_millis_testing: 33.326, usercpu_time_millis_training: 794.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9683, kappa: 0.9221, kb_relative_information_score: 29797.1701, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3466, scimark_benchmark: 1305.2683, usercpu_time_millis: 5122.53, usercpu_time_millis_testing: 64.614, usercpu_time_millis_training: 5057.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9272, kappa: 0.8199, kb_relative_information_score: 24031.6538, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5142, scimark_benchmark: 1286.7792, usercpu_time_millis: 8994.964, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 8993.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9312, kappa: 0.8289, kb_relative_information_score: 24762.532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4973, scimark_benchmark: 1234.5843, usercpu_time_millis: 4988.734, usercpu_time_millis_testing: 62.399, usercpu_time_millis_training: 4926.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9588, kappa: 0.8982, kb_relative_information_score: 26094.1315, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4198, scimark_benchmark: 1265.6093, usercpu_time_millis: 451.153, usercpu_time_millis_testing: 27.553, usercpu_time_millis_training: 423.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 27349.8393, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.42, scimark_benchmark: 1262.8276, usercpu_time_millis: 1728.813, usercpu_time_millis_testing: 67.627, usercpu_time_millis_training: 1661.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9677, kappa: 0.9206, kb_relative_information_score: 29221.2684, mean_absolute_error: 0.0673, 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: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3561, scimark_benchmark: 1265.176, usercpu_time_millis: 1279.057, usercpu_time_millis_testing: 44.527, usercpu_time_millis_training: 1234.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9513, kappa: 0.8796, kb_relative_information_score: 25643.9285, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1259.4466, usercpu_time_millis: 488.17, usercpu_time_millis_testing: 30.247, usercpu_time_millis_training: 457.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28073.7232, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4039, scimark_benchmark: 1232.1029, usercpu_time_millis: 9256.6, usercpu_time_millis_testing: 112.837, usercpu_time_millis_training: 9143.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28811.7776, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1238.5362, usercpu_time_millis: 734.869, usercpu_time_millis_testing: 12.035, usercpu_time_millis_training: 722.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28581.4758, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1263.5931, usercpu_time_millis: 2652.953, usercpu_time_millis_testing: 82.752, usercpu_time_millis_training: 2570.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.953, kappa: 0.884, kb_relative_information_score: 26547.2811, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301, scimark_benchmark: 1239.4838, usercpu_time_millis: 397.805, usercpu_time_millis_testing: 21.578, usercpu_time_millis_training: 376.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9579, kappa: 0.8959, kb_relative_information_score: 25907.0639, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4245, scimark_benchmark: 1258.5153, usercpu_time_millis: 988.027, usercpu_time_millis_testing: 57.321, usercpu_time_millis_training: 930.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9482, kappa: 0.8723, kb_relative_information_score: 26590.6632, mean_absolute_error: 0.0991, 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: 0.2429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.444, scimark_benchmark: 1264.6244, usercpu_time_millis: 665.588, usercpu_time_millis_testing: 22.959, usercpu_time_millis_training: 642.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9546, kappa: 0.888, kb_relative_information_score: 26574.8847, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4262, scimark_benchmark: 1254.0716, usercpu_time_millis: 1310.324, usercpu_time_millis_testing: 47.107, usercpu_time_millis_training: 1263.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9697, kappa: 0.9257, kb_relative_information_score: 30154.3404, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3379, scimark_benchmark: 1241.1414, usercpu_time_millis: 3516.276, usercpu_time_millis_testing: 38.109, usercpu_time_millis_training: 3478.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9478, kappa: 0.8713, kb_relative_information_score: 26297.9786, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1265.2295, usercpu_time_millis: 1359.465, usercpu_time_millis_testing: 29.385, usercpu_time_millis_training: 1330.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9459, kappa: 0.8665, kb_relative_information_score: 26180.3335, mean_absolute_error: 0.1049, 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: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516, scimark_benchmark: 1267.1411, usercpu_time_millis: 1519.704, usercpu_time_millis_testing: 62.763, usercpu_time_millis_training: 1456.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 27955.0403, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1266.9525, usercpu_time_millis: 1585.084, usercpu_time_millis_testing: 85.697, usercpu_time_millis_training: 1499.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.95, kappa: 0.8764, kb_relative_information_score: 25806.168, mean_absolute_error: 0.1126, 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: 0.2759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4463, scimark_benchmark: 1263.1832, usercpu_time_millis: 641.524, usercpu_time_millis_testing: 42.996, usercpu_time_millis_training: 598.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9533, kappa: 0.8855, kb_relative_information_score: 27291.3973, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1239.5646, usercpu_time_millis: 1895.867, usercpu_time_millis_testing: 30.136, usercpu_time_millis_training: 1865.731,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 27717.1755, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1227.8436, usercpu_time_millis: 8001.26, usercpu_time_millis_testing: 109.255, usercpu_time_millis_training: 7892.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9418, kappa: 0.8562, kb_relative_information_score: 26070.5343, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4627, scimark_benchmark: 1260.7732, usercpu_time_millis: 2130.254, usercpu_time_millis_testing: 44.943, usercpu_time_millis_training: 2085.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9687, kappa: 0.9231, kb_relative_information_score: 29421.5296, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3477, scimark_benchmark: 1270.8912, usercpu_time_millis: 438.629, usercpu_time_millis_testing: 16.273, usercpu_time_millis_training: 422.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9589, kappa: 0.8992, kb_relative_information_score: 28237.0518, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3977, scimark_benchmark: 1248.7643, usercpu_time_millis: 1771.286, usercpu_time_millis_testing: 25.54, usercpu_time_millis_training: 1745.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9233, kappa: 0.8072, kb_relative_information_score: 18650.1589, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5946, scimark_benchmark: 1242.5573, usercpu_time_millis: 394.534, usercpu_time_millis_testing: 27.866, usercpu_time_millis_training: 366.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 28493.6492, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1244.3741, usercpu_time_millis: 4421.147, usercpu_time_millis_testing: 92.086, usercpu_time_millis_training: 4329.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9551, kappa: 0.8896, kb_relative_information_score: 27329.4494, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4183, scimark_benchmark: 1257.1367, usercpu_time_millis: 3803.703, usercpu_time_millis_testing: 100.505, usercpu_time_millis_training: 3703.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9158, kappa: 0.7898, kb_relative_information_score: 19141.6288, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9174, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5937, scimark_benchmark: 1256.9373, usercpu_time_millis: 1404.318, usercpu_time_millis_testing: 67.125, usercpu_time_millis_training: 1337.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9512, kappa: 0.8799, kb_relative_information_score: 26754.6207, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4359, scimark_benchmark: 1241.7052, usercpu_time_millis: 1173.145, usercpu_time_millis_testing: 39.228, usercpu_time_millis_training: 1133.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.968, kappa: 0.9213, kb_relative_information_score: 29435.3209, mean_absolute_error: 0.0639, 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: 0.1566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1239.4344, usercpu_time_millis: 110.884, usercpu_time_millis_testing: 6.144, usercpu_time_millis_training: 104.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9205, kappa: 0.7997, kb_relative_information_score: 18215.6811, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6047, scimark_benchmark: 1267.4482, usercpu_time_millis: 772.214, usercpu_time_millis_testing: 58.147, usercpu_time_millis_training: 714.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9317, kappa: 0.8301, kb_relative_information_score: 25003.8767, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4968, scimark_benchmark: 1242.2475, usercpu_time_millis: 5346.48, usercpu_time_millis_testing: 69.277, usercpu_time_millis_training: 5277.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 28570.6295, mean_absolute_error: 0.0757, 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: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3757, scimark_benchmark: 1261.1846, usercpu_time_millis: 1533.043, usercpu_time_millis_testing: 44.979, usercpu_time_millis_training: 1488.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9308, kappa: 0.8263, kb_relative_information_score: 19321.5213, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5777, scimark_benchmark: 1262.02, usercpu_time_millis: 340.283, usercpu_time_millis_testing: 23.888, usercpu_time_millis_training: 316.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.912, kappa: 0.7778, kb_relative_information_score: 17378.266, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9192, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6246, scimark_benchmark: 1255.9183, usercpu_time_millis: 1024.2, usercpu_time_millis_testing: 78.748, usercpu_time_millis_training: 945.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.958, kappa: 0.8968, kb_relative_information_score: 28043.4095, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1273.7142, usercpu_time_millis: 1128.715, usercpu_time_millis_testing: 38.568, usercpu_time_millis_training: 1090.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9548, kappa: 0.8891, kb_relative_information_score: 27367.4091, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4214, scimark_benchmark: 1266.165, usercpu_time_millis: 4133.633, usercpu_time_millis_testing: 70.019, usercpu_time_millis_training: 4063.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28715.2404, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1240.0171, usercpu_time_millis: 1882.522, usercpu_time_millis_testing: 44.239, usercpu_time_millis_training: 1838.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.942, kappa: 0.857, kb_relative_information_score: 26073.451, mean_absolute_error: 0.1049, 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: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4609, scimark_benchmark: 1259.6473, usercpu_time_millis: 192.679, usercpu_time_millis_testing: 5.515, usercpu_time_millis_training: 187.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.936, kappa: 0.8411, kb_relative_information_score: 24713.9123, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4871, scimark_benchmark: 1267.3183, usercpu_time_millis: 327.3, usercpu_time_millis_testing: 16.132, usercpu_time_millis_training: 311.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9502, kappa: 0.8771, kb_relative_information_score: 26345.3583, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4403, scimark_benchmark: 1253.4594, usercpu_time_millis: 2407.003, usercpu_time_millis_testing: 100.987, usercpu_time_millis_training: 2306.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 27768.9732, mean_absolute_error: 0.0859, 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: 0.2106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1254.5782, usercpu_time_millis: 640.228, usercpu_time_millis_testing: 21.318, usercpu_time_millis_training: 618.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 28032.2931, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1303.2487, usercpu_time_millis: 2158.942, usercpu_time_millis_testing: 75.692, usercpu_time_millis_training: 2083.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29472.4746, mean_absolute_error: 0.0626, 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: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, scimark_benchmark: 1300.8618, usercpu_time_millis: 2741.876, usercpu_time_millis_testing: 11.762, usercpu_time_millis_training: 2730.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9588, kappa: 0.8985, kb_relative_information_score: 27270.426, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4047, scimark_benchmark: 1269.7795, usercpu_time_millis: 717.644, usercpu_time_millis_testing: 44.109, usercpu_time_millis_training: 673.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9451, kappa: 0.8639, kb_relative_information_score: 24323.0342, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.478, scimark_benchmark: 1253.9674, usercpu_time_millis: 2175.244, usercpu_time_millis_testing: 106.216, usercpu_time_millis_training: 2069.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 28754.3152, mean_absolute_error: 0.0727, 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: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1275.6612, usercpu_time_millis: 2527.147, usercpu_time_millis_testing: 97.07, usercpu_time_millis_training: 2430.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9565, kappa: 0.8934, kb_relative_information_score: 27964.1615, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4085, scimark_benchmark: 1239.4267, usercpu_time_millis: 10849.312, usercpu_time_millis_testing: 98.129, usercpu_time_millis_training: 10751.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9444, kappa: 0.863, kb_relative_information_score: 26252.3647, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4545, scimark_benchmark: 1239.0795, usercpu_time_millis: 3468.648, usercpu_time_millis_testing: 76.463, usercpu_time_millis_training: 3392.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9347, kappa: 0.8377, kb_relative_information_score: 23743.0826, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5016, scimark_benchmark: 1268.3503, usercpu_time_millis: 764.271, usercpu_time_millis_testing: 27.512, usercpu_time_millis_training: 736.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 27886.0612, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1257.7537, usercpu_time_millis: 2115.474, usercpu_time_millis_testing: 108.351, usercpu_time_millis_training: 2007.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.936, kappa: 0.8414, kb_relative_information_score: 25521.6822, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841, scimark_benchmark: 1230.5837, usercpu_time_millis: 2269.216, usercpu_time_millis_testing: 48.303, usercpu_time_millis_training: 2220.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9168, kappa: 0.7909, kb_relative_information_score: 23412.9494, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5239, scimark_benchmark: 1248.2457, usercpu_time_millis: 2400.355, usercpu_time_millis_testing: 56.355, usercpu_time_millis_training: 2344,

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