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: 0.9763, f_measure: 0.9183, kappa: 0.7947, kb_relative_information_score: 24458.3049, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5203, scimark_benchmark: 1371.5006, usercpu_time_millis: 230.585, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 228.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29618.615, mean_absolute_error: 0.0615, 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: 0.1506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3497, scimark_benchmark: 1365.5855, usercpu_time_millis: 603.579, usercpu_time_millis_testing: 8.249, usercpu_time_millis_training: 595.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9212, kappa: 0.8026, kb_relative_information_score: 24632.4175, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5125, scimark_benchmark: 1363.6631, usercpu_time_millis: 170.892, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 170.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9148, kappa: 0.7858, kb_relative_information_score: 24018.1609, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5289, scimark_benchmark: 1366.7692, usercpu_time_millis: 1395.227, usercpu_time_millis_testing: 8.411, usercpu_time_millis_training: 1386.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9513, kappa: 0.8805, kb_relative_information_score: 27362.8977, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311, scimark_benchmark: 1365.2397, usercpu_time_millis: 1137.16, usercpu_time_millis_testing: 9.385, usercpu_time_millis_training: 1127.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.1336, 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: 1368.854, usercpu_time_millis: 39.402, usercpu_time_millis_testing: 5.921, usercpu_time_millis_training: 33.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9086, kappa: 0.7726, kb_relative_information_score: 20486.4173, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.909, predictive_accuracy: 0.9101, prior_entropy: 0.863, recall: 0.9101, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5876, scimark_benchmark: 1364.1948, usercpu_time_millis: 412.098, usercpu_time_millis_testing: 5.502, usercpu_time_millis_training: 406.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.3282, 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: 1363.9626, usercpu_time_millis: 26.42, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 23.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9175, kappa: 0.7925, kb_relative_information_score: 23364.6957, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5237, scimark_benchmark: 1364.9632, usercpu_time_millis: 254.39, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 252.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9428, kappa: 0.8589, kb_relative_information_score: 26140.5457, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583, scimark_benchmark: 1362.3373, usercpu_time_millis: 717.213, usercpu_time_millis_testing: 12.127, usercpu_time_millis_training: 705.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29539.4496, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3522, scimark_benchmark: 1365.175, usercpu_time_millis: 1453.553, usercpu_time_millis_testing: 15.729, usercpu_time_millis_training: 1437.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9592, kappa: 0.8996, kb_relative_information_score: 28360.3356, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1362.2068, usercpu_time_millis: 2637.604, usercpu_time_millis_testing: 16.837, usercpu_time_millis_training: 2620.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9302, kappa: 0.826, kb_relative_information_score: 25084.1124, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5019, scimark_benchmark: 1369.9223, usercpu_time_millis: 3410.696, usercpu_time_millis_testing: 13.75, usercpu_time_millis_training: 3396.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9557, kappa: 0.8914, kb_relative_information_score: 27878.9706, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4118, scimark_benchmark: 1365.3927, usercpu_time_millis: 1392.918, usercpu_time_millis_testing: 10.669, usercpu_time_millis_training: 1382.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9096, kappa: 0.7741, kb_relative_information_score: 15995.5516, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9113, predictive_accuracy: 0.9117, prior_entropy: 0.863, recall: 0.9117, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6558, scimark_benchmark: 1367.1608, usercpu_time_millis: 128.149, usercpu_time_millis_testing: 7.545, usercpu_time_millis_training: 120.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9263, kappa: 0.8159, kb_relative_information_score: 24928.0669, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5112, scimark_benchmark: 1364.8808, usercpu_time_millis: 6309.027, usercpu_time_millis_testing: 13.432, usercpu_time_millis_training: 6295.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28780.5888, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1363.1667, usercpu_time_millis: 2488.68, usercpu_time_millis_testing: 15.587, usercpu_time_millis_training: 2473.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9154, kappa: 0.7871, kb_relative_information_score: 24224.1978, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.526, scimark_benchmark: 1362.4896, usercpu_time_millis: 3024.899, usercpu_time_millis_testing: 15.919, usercpu_time_millis_training: 3008.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.859, kappa: 0.6537, kb_relative_information_score: 15276.4934, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8594, prior_entropy: 0.863, recall: 0.8594, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.733, scimark_benchmark: 1356.7251, usercpu_time_millis: 148.788, usercpu_time_millis_testing: 3.772, usercpu_time_millis_training: 145.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9224, kappa: 0.8055, kb_relative_information_score: 24596.5009, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9247, prior_entropy: 0.863, recall: 0.9247, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5077, scimark_benchmark: 1365.0718, usercpu_time_millis: 1120.298, usercpu_time_millis_testing: 10.426, usercpu_time_millis_training: 1109.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28935.823, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3772, scimark_benchmark: 1373.6963, usercpu_time_millis: 3658.037, usercpu_time_millis_testing: 19.389, usercpu_time_millis_training: 3638.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9456, kappa: 0.8659, kb_relative_information_score: 26469.2812, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4504, scimark_benchmark: 1363.3247, usercpu_time_millis: 1124.444, usercpu_time_millis_testing: 16.351, usercpu_time_millis_training: 1108.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9458, kappa: 0.8664, kb_relative_information_score: 26553.989, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4491, scimark_benchmark: 1357.1888, usercpu_time_millis: 1531.408, usercpu_time_millis_testing: 13.389, usercpu_time_millis_training: 1518.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9592, kappa: 0.8997, kb_relative_information_score: 28348.0899, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1365.4833, usercpu_time_millis: 545.099, usercpu_time_millis_testing: 3.327, usercpu_time_millis_training: 541.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.232, 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: 1369.7519, usercpu_time_millis: 50.999, usercpu_time_millis_testing: 8.432, usercpu_time_millis_training: 42.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29656.3948, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1373.3221, usercpu_time_millis: 2233.464, usercpu_time_millis_testing: 12.196, usercpu_time_millis_training: 2221.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8668, kappa: 0.6746, kb_relative_information_score: 16981.859, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8673, predictive_accuracy: 0.8664, prior_entropy: 0.863, recall: 0.8664, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6801, scimark_benchmark: 1364.8247, usercpu_time_millis: 192.899, usercpu_time_millis_testing: 4.449, usercpu_time_millis_training: 188.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9496, kappa: 0.8762, kb_relative_information_score: 27152.8192, mean_absolute_error: 0.0909, 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: 0.2228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.439, scimark_benchmark: 1373.3053, usercpu_time_millis: 2067.83, usercpu_time_millis_testing: 10.032, usercpu_time_millis_training: 2057.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.0271, 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: 1363.8155, usercpu_time_millis: 48.562, usercpu_time_millis_testing: 6.129, usercpu_time_millis_training: 42.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8654, kappa: 0.6718, kb_relative_information_score: 16911.7941, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8662, predictive_accuracy: 0.8648, prior_entropy: 0.863, recall: 0.8648, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6911, scimark_benchmark: 1365.8637, usercpu_time_millis: 376.307, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 372.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8578, kappa: 0.6511, kb_relative_information_score: 15584.8073, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.738, scimark_benchmark: 1365.9328, usercpu_time_millis: 226.78, usercpu_time_millis_testing: 7.925, usercpu_time_millis_training: 218.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9265, kappa: 0.8166, kb_relative_information_score: 23235.6145, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9282, prior_entropy: 0.863, recall: 0.9282, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5173, scimark_benchmark: 1361.8778, usercpu_time_millis: 291.514, usercpu_time_millis_testing: 8.827, usercpu_time_millis_training: 282.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8752, kappa: 0.6954, kb_relative_information_score: 17605.1096, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8758, predictive_accuracy: 0.8748, prior_entropy: 0.863, recall: 0.8748, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6499, scimark_benchmark: 1361.3987, usercpu_time_millis: 324.09, usercpu_time_millis_testing: 5.265, usercpu_time_millis_training: 318.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28490.5193, mean_absolute_error: 0.0748, 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: 0.1832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938, scimark_benchmark: 1374.4248, usercpu_time_millis: 1489.304, usercpu_time_millis_testing: 12.229, usercpu_time_millis_training: 1477.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28750.1417, mean_absolute_error: 0.0725, 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: 0.1777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3771, scimark_benchmark: 1361.9226, usercpu_time_millis: 1116.671, usercpu_time_millis_testing: 22.842, usercpu_time_millis_training: 1093.829,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 28945.1873, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1743.7012, usercpu_time_millis: 364.319, usercpu_time_millis_testing: 10.389, usercpu_time_millis_training: 353.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 28927.7583, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3756, scimark_benchmark: 1780.4191, usercpu_time_millis: 404.755, usercpu_time_millis_testing: 6.088, usercpu_time_millis_training: 398.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28967.659, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776, scimark_benchmark: 738.0948, usercpu_time_millis: 557.524, usercpu_time_millis_testing: 6.68, usercpu_time_millis_training: 550.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28846.5346, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 2070.2863, usercpu_time_millis: 446.098, usercpu_time_millis_testing: 9.821, usercpu_time_millis_training: 436.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9183, kappa: 0.7946, kb_relative_information_score: 23772.9482, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.921, prior_entropy: 0.863, recall: 0.921, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5172, scimark_benchmark: 1728.0111, usercpu_time_millis: 493.318, usercpu_time_millis_testing: 10.767, usercpu_time_millis_training: 482.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9446, kappa: 0.8626, kb_relative_information_score: 23571.0468, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4922, scimark_benchmark: 1745.1929, usercpu_time_millis: 236.899, usercpu_time_millis_testing: 13.366, usercpu_time_millis_training: 223.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 28571.0563, mean_absolute_error: 0.0742, 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: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3871, scimark_benchmark: 1740.9411, usercpu_time_millis: 268.911, usercpu_time_millis_testing: 4.033, usercpu_time_millis_training: 264.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8588, kappa: 0.656, kb_relative_information_score: 15597.8558, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8598, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7394, scimark_benchmark: 1812.7497, usercpu_time_millis: 211.999, usercpu_time_millis_testing: 6.694, usercpu_time_millis_training: 205.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8563, kb_relative_information_score: 25450.5297, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 737.9401, usercpu_time_millis: 324.839, usercpu_time_millis_testing: 14.003, usercpu_time_millis_training: 310.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9521, kappa: 0.8826, kb_relative_information_score: 27874.2245, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4215, scimark_benchmark: 1719.5265, usercpu_time_millis: 124.957, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 124.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.5023, 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: 2082.1412, usercpu_time_millis: 24.503, usercpu_time_millis_testing: 2.47, usercpu_time_millis_training: 22.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9427, kappa: 0.8575, kb_relative_information_score: 22127.5793, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1756.3448, usercpu_time_millis: 303.638, usercpu_time_millis_testing: 17.915, usercpu_time_millis_training: 285.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9619, kappa: 0.9063, kb_relative_information_score: 28430.0005, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3852, scimark_benchmark: 1733.9326, usercpu_time_millis: 287.558, usercpu_time_millis_testing: 9.17, usercpu_time_millis_training: 278.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9513, kappa: 0.8803, kb_relative_information_score: 27094.2813, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.435, scimark_benchmark: 2019.4568, usercpu_time_millis: 276.101, usercpu_time_millis_testing: 5.69, usercpu_time_millis_training: 270.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8894, kappa: 0.7278, kb_relative_information_score: 18496.8803, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.889, predictive_accuracy: 0.8898, prior_entropy: 0.863, recall: 0.8898, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6226, scimark_benchmark: 1742.8123, usercpu_time_millis: 16.082, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 15.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.6752, 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: 1717.6258, usercpu_time_millis: 41.102, usercpu_time_millis_testing: 5.082, usercpu_time_millis_training: 36.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 27787.1638, mean_absolute_error: 0.0844, 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: 0.2069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4062, scimark_benchmark: 1770.6075, usercpu_time_millis: 60.904, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 59.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9358, kappa: 0.8404, kb_relative_information_score: 24386.737, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1904.7583, usercpu_time_millis: 170.09, usercpu_time_millis_testing: 5.33, usercpu_time_millis_training: 164.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9382, kappa: 0.8467, kb_relative_information_score: 23748.6284, mean_absolute_error: 0.1394, 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: 0.3416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4967, scimark_benchmark: 1889.2003, usercpu_time_millis: 150.723, usercpu_time_millis_testing: 4.643, usercpu_time_millis_training: 146.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8654, kappa: 0.6705, kb_relative_information_score: 16566.2408, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8655, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6847, scimark_benchmark: 1734.1655, usercpu_time_millis: 134.906, usercpu_time_millis_testing: 3.855, usercpu_time_millis_training: 131.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28715.9914, mean_absolute_error: 0.0722, 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: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1877.8626, usercpu_time_millis: 120.013, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 118.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9374, kappa: 0.845, kb_relative_information_score: 25788.853, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4782, scimark_benchmark: 1852.9719, usercpu_time_millis: 96.162, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 95.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.8456, 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: 1903.4982, usercpu_time_millis: 16.894, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 16.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9472, kappa: 0.8697, kb_relative_information_score: 26212.3541, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.45, scimark_benchmark: 1735.2934, usercpu_time_millis: 73.561, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 71.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29328.3895, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3645, scimark_benchmark: 1893.2175, usercpu_time_millis: 358.314, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 355.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8713, kappa: 0.6859, kb_relative_information_score: 17516.4079, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8719, predictive_accuracy: 0.8707, prior_entropy: 0.863, recall: 0.8707, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6657, scimark_benchmark: 2088.0596, usercpu_time_millis: 349.358, usercpu_time_millis_testing: 5.618, usercpu_time_millis_training: 343.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26411.6063, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.461, scimark_benchmark: 1894.5089, usercpu_time_millis: 1494.75, usercpu_time_millis_testing: 8.919, usercpu_time_millis_training: 1485.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9306, kappa: 0.8272, kb_relative_information_score: 24595.1915, mean_absolute_error: 0.1245, 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: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4983, scimark_benchmark: 1970.1165, usercpu_time_millis: 75.308, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 71.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9605, kappa: 0.9032, kb_relative_information_score: 28855.8627, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3863, scimark_benchmark: 1894.8612, usercpu_time_millis: 2156.803, usercpu_time_millis_testing: 7.781, usercpu_time_millis_training: 2149.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8604, kappa: 0.6561, kb_relative_information_score: 14380.4106, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8598, predictive_accuracy: 0.8612, prior_entropy: 0.863, recall: 0.8612, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.717, scimark_benchmark: 1883.915, usercpu_time_millis: 86.186, usercpu_time_millis_testing: 5.553, usercpu_time_millis_training: 80.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9067, kappa: 0.7672, kb_relative_information_score: 19289.7289, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.908, predictive_accuracy: 0.9088, prior_entropy: 0.863, recall: 0.9088, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5935, scimark_benchmark: 1736.0929, usercpu_time_millis: 140.18, usercpu_time_millis_testing: 4.306, usercpu_time_millis_training: 135.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9455, kappa: 0.8659, kb_relative_information_score: 26774.7904, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4546, scimark_benchmark: 1825.6785, usercpu_time_millis: 86.487, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 85.84,

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