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: 0.9856, f_measure: 0.9277, kappa: 0.8185, kb_relative_information_score: 19005.8213, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5853, scimark_benchmark: 1267.5104, usercpu_time_millis: 956.852, usercpu_time_millis_testing: 78.358, usercpu_time_millis_training: 878.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9624, kappa: 0.9073, kb_relative_information_score: 27628.5932, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 1263.1167, usercpu_time_millis: 1599.379, usercpu_time_millis_testing: 81.258, usercpu_time_millis_training: 1518.121,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29805.0735, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.347, scimark_benchmark: 1254.4382, usercpu_time_millis: 1593.5, usercpu_time_millis_testing: 15.134, usercpu_time_millis_training: 1578.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9064, kb_relative_information_score: 28092.2091, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, scimark_benchmark: 1258.3286, usercpu_time_millis: 66.411, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 62.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.955, kappa: 0.8887, kb_relative_information_score: 25235.6739, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4433, scimark_benchmark: 1251.1519, usercpu_time_millis: 1923.579, usercpu_time_millis_testing: 114.656, usercpu_time_millis_training: 1808.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9248, kappa: 0.8118, kb_relative_information_score: 18099.6579, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6097, scimark_benchmark: 1245.5301, usercpu_time_millis: 233.942, usercpu_time_millis_testing: 14.575, usercpu_time_millis_training: 219.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 28846.8951, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3788, scimark_benchmark: 1245.8448, usercpu_time_millis: 213.177, usercpu_time_millis_testing: 6.73, usercpu_time_millis_training: 206.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 28895.089, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3653, scimark_benchmark: 1259.8491, usercpu_time_millis: 605.401, usercpu_time_millis_testing: 22.948, usercpu_time_millis_training: 582.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9538, kappa: 0.8856, kb_relative_information_score: 24899.832, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4514, scimark_benchmark: 1258.3179, usercpu_time_millis: 861.205, usercpu_time_millis_testing: 69.473, usercpu_time_millis_training: 791.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9512, kappa: 0.8795, kb_relative_information_score: 26392.0156, mean_absolute_error: 0.1038, 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: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4371, scimark_benchmark: 1261.9709, usercpu_time_millis: 746.224, usercpu_time_millis_testing: 37.388, usercpu_time_millis_training: 708.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9374, kappa: 0.8446, kb_relative_information_score: 23509.9256, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5017, scimark_benchmark: 1264.834, usercpu_time_millis: 976.348, usercpu_time_millis_testing: 49.958, usercpu_time_millis_training: 926.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29027.1769, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681, scimark_benchmark: 1260.8685, usercpu_time_millis: 3171.468, usercpu_time_millis_testing: 55.187, usercpu_time_millis_training: 3116.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9588, kappa: 0.899, kb_relative_information_score: 28277.1758, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3964, scimark_benchmark: 1262.4, usercpu_time_millis: 3315.45, usercpu_time_millis_testing: 54.309, usercpu_time_millis_training: 3261.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 28358.6532, mean_absolute_error: 0.0771, 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: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.392, scimark_benchmark: 1273.7918, usercpu_time_millis: 920.75, usercpu_time_millis_testing: 36.921, usercpu_time_millis_training: 883.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9573, kappa: 0.8949, kb_relative_information_score: 27345.0516, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1256.2704, usercpu_time_millis: 1107.805, usercpu_time_millis_testing: 61.374, usercpu_time_millis_training: 1046.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28713.6235, mean_absolute_error: 0.0735, 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: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3736, scimark_benchmark: 1255.9757, usercpu_time_millis: 313.973, usercpu_time_millis_testing: 10.225, usercpu_time_millis_training: 303.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9255, kappa: 0.8127, kb_relative_information_score: 18736.803, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.592, scimark_benchmark: 1268.5293, usercpu_time_millis: 972.872, usercpu_time_millis_testing: 74.471, usercpu_time_millis_training: 898.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9572, kappa: 0.8946, kb_relative_information_score: 27453.5343, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.4101, scimark_benchmark: 1265.5067, usercpu_time_millis: 1501.94, usercpu_time_millis_testing: 48.263, usercpu_time_millis_training: 1453.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9279, kappa: 0.82, kb_relative_information_score: 24042.9346, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9294, prior_entropy: 0.863, recall: 0.9294, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5055, scimark_benchmark: 1237.9113, usercpu_time_millis: 2734.94, usercpu_time_millis_testing: 66.768, usercpu_time_millis_training: 2668.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9515, kappa: 0.8803, kb_relative_information_score: 26368.8689, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1259.9017, usercpu_time_millis: 1414.426, usercpu_time_millis_testing: 44.081, usercpu_time_millis_training: 1370.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9226, kappa: 0.8059, kb_relative_information_score: 24134.9735, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5095, scimark_benchmark: 1269.0773, usercpu_time_millis: 3455.585, usercpu_time_millis_testing: 64.403, usercpu_time_millis_training: 3391.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.953, kappa: 0.8846, kb_relative_information_score: 27370.4869, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4265, scimark_benchmark: 1247.296, usercpu_time_millis: 2524.742, usercpu_time_millis_testing: 32.585, usercpu_time_millis_training: 2492.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29620.3793, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3451, scimark_benchmark: 1264.8279, usercpu_time_millis: 1237.31, usercpu_time_millis_testing: 30.582, usercpu_time_millis_training: 1206.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9658, kappa: 0.9159, kb_relative_information_score: 28889.5349, mean_absolute_error: 0.0717, 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: 0.1758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1258.023, usercpu_time_millis: 2243.967, usercpu_time_millis_testing: 62.776, usercpu_time_millis_training: 2181.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9133, kappa: 0.7817, kb_relative_information_score: 18086.6532, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9166, prior_entropy: 0.863, recall: 0.9166, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.6115, scimark_benchmark: 1251.1505, usercpu_time_millis: 34.811, usercpu_time_millis_testing: 2.86, usercpu_time_millis_training: 31.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9607, kappa: 0.9034, kb_relative_information_score: 27928.3354, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3921, scimark_benchmark: 1259.9243, usercpu_time_millis: 3607.168, usercpu_time_millis_testing: 106.748, usercpu_time_millis_training: 3500.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9461, kappa: 0.8666, kb_relative_information_score: 25598.6231, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4571, scimark_benchmark: 1260.5147, usercpu_time_millis: 901.955, usercpu_time_millis_testing: 29.62, usercpu_time_millis_training: 872.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29383.3451, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1264.2119, usercpu_time_millis: 502.119, usercpu_time_millis_testing: 17.952, usercpu_time_millis_training: 484.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9269, kappa: 0.8177, kb_relative_information_score: 21747.3905, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5402, scimark_benchmark: 1243.736, usercpu_time_millis: 235.461, usercpu_time_millis_testing: 13.974, usercpu_time_millis_training: 221.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28375.1976, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3908, scimark_benchmark: 1267.1436, usercpu_time_millis: 2800.201, usercpu_time_millis_testing: 88.198, usercpu_time_millis_training: 2712.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9582, kappa: 0.897, kb_relative_information_score: 27462.5368, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4056, scimark_benchmark: 1266.485, usercpu_time_millis: 2240.059, usercpu_time_millis_testing: 97.167, usercpu_time_millis_training: 2142.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9576, kappa: 0.8956, kb_relative_information_score: 27797.9121, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4056, scimark_benchmark: 1267.1313, usercpu_time_millis: 1754.364, usercpu_time_millis_testing: 82.833, usercpu_time_millis_training: 1671.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9524, kappa: 0.8827, kb_relative_information_score: 26718.1424, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306, scimark_benchmark: 1265.9241, usercpu_time_millis: 2012.527, usercpu_time_millis_testing: 87.31, usercpu_time_millis_training: 1925.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.939, kappa: 0.8488, kb_relative_information_score: 24709.7086, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4813, scimark_benchmark: 1257.7909, usercpu_time_millis: 76.07, usercpu_time_millis_testing: 5.407, usercpu_time_millis_training: 70.663,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9392, kappa: 0.8487, kb_relative_information_score: 21157.5727, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5431, scimark_benchmark: 1255.6138, usercpu_time_millis: 1289.781, usercpu_time_millis_testing: 84.558, usercpu_time_millis_training: 1205.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9535, kappa: 0.8858, kb_relative_information_score: 27367.8031, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4255, scimark_benchmark: 1260.782, usercpu_time_millis: 7291.145, usercpu_time_millis_testing: 98.042, usercpu_time_millis_training: 7193.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9222, kappa: 0.8049, kb_relative_information_score: 22430.085, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1263.34, usercpu_time_millis: 1030.591, usercpu_time_millis_testing: 47.178, usercpu_time_millis_training: 983.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28039.0287, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3932, scimark_benchmark: 1265.0278, usercpu_time_millis: 2611.16, usercpu_time_millis_testing: 75.301, usercpu_time_millis_training: 2535.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29276.5169, mean_absolute_error: 0.0668, 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: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1268.4684, usercpu_time_millis: 332.419, usercpu_time_millis_testing: 12.49, usercpu_time_millis_training: 319.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9395, kappa: 0.8501, kb_relative_information_score: 24522.3193, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4825, scimark_benchmark: 1255.3287, usercpu_time_millis: 1438.959, usercpu_time_millis_testing: 70.633, usercpu_time_millis_training: 1368.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9458, kappa: 0.8656, kb_relative_information_score: 23202.6946, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4957, scimark_benchmark: 1258.6894, usercpu_time_millis: 529.511, usercpu_time_millis_testing: 45.519, usercpu_time_millis_training: 483.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9545, kappa: 0.8882, kb_relative_information_score: 27601.0676, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4183, scimark_benchmark: 1242.1386, usercpu_time_millis: 2957.336, usercpu_time_millis_testing: 59.227, usercpu_time_millis_training: 2898.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9578, kappa: 0.8962, kb_relative_information_score: 27540.6414, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4076, scimark_benchmark: 1258.9342, usercpu_time_millis: 1227.528, usercpu_time_millis_testing: 43.469, usercpu_time_millis_training: 1184.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9384, kappa: 0.8471, kb_relative_information_score: 24165.1878, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1270.7566, usercpu_time_millis: 2133.582, usercpu_time_millis_testing: 82.749, usercpu_time_millis_training: 2050.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9267, kappa: 0.816, kb_relative_information_score: 18889.8068, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9291, prior_entropy: 0.863, recall: 0.9291, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5882, scimark_benchmark: 1256.334, usercpu_time_millis: 470.821, usercpu_time_millis_testing: 39.351, usercpu_time_millis_training: 431.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9592, kappa: 0.8997, kb_relative_information_score: 27844.5669, mean_absolute_error: 0.0847, 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: 0.2076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3986, scimark_benchmark: 1271.1909, usercpu_time_millis: 2822.783, usercpu_time_millis_testing: 68.234, usercpu_time_millis_training: 2754.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 27710.1221, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 1269.8475, usercpu_time_millis: 2822.697, usercpu_time_millis_testing: 84.88, usercpu_time_millis_training: 2737.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9554, kappa: 0.8897, kb_relative_information_score: 26176.8201, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286, scimark_benchmark: 1260.4548, usercpu_time_millis: 682.403, usercpu_time_millis_testing: 37.552, usercpu_time_millis_training: 644.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 28273.0907, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3887, scimark_benchmark: 1266.8946, usercpu_time_millis: 159.759, usercpu_time_millis_testing: 8.461, usercpu_time_millis_training: 151.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9556, kappa: 0.8911, kb_relative_information_score: 27913.5052, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4117, scimark_benchmark: 1255.3548, usercpu_time_millis: 6903.225, usercpu_time_millis_testing: 84.799, usercpu_time_millis_training: 6818.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29528.909, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1258.6753, usercpu_time_millis: 5466.054, usercpu_time_millis_testing: 50.705, usercpu_time_millis_training: 5415.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9313, kappa: 0.829, kb_relative_information_score: 22756.6431, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5185, scimark_benchmark: 1251.4508, usercpu_time_millis: 895.699, usercpu_time_millis_testing: 28.68, usercpu_time_millis_training: 867.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9121, kappa: 0.7782, kb_relative_information_score: 17448.504, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9195, predictive_accuracy: 0.9158, prior_entropy: 0.863, recall: 0.9158, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6228, scimark_benchmark: 1257.2068, usercpu_time_millis: 448.085, usercpu_time_millis_testing: 34.005, usercpu_time_millis_training: 414.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.965, kappa: 0.9138, kb_relative_information_score: 28027.7647, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3771, scimark_benchmark: 1259.7791, usercpu_time_millis: 603.984, usercpu_time_millis_testing: 31.935, usercpu_time_millis_training: 572.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9506, kappa: 0.8775, kb_relative_information_score: 24199.5163, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.471, scimark_benchmark: 1275.5672, usercpu_time_millis: 1943.776, usercpu_time_millis_testing: 115.138, usercpu_time_millis_training: 1828.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9239, kappa: 0.8095, kb_relative_information_score: 24261.1102, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5078, scimark_benchmark: 1248.4292, usercpu_time_millis: 1870.007, usercpu_time_millis_testing: 31.97, usercpu_time_millis_training: 1838.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9597, kappa: 0.9008, kb_relative_information_score: 27657.4682, mean_absolute_error: 0.0883, 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: 0.2163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3983, scimark_benchmark: 1260.6787, usercpu_time_millis: 258.38, usercpu_time_millis_testing: 15.815, usercpu_time_millis_training: 242.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9591, kappa: 0.8992, kb_relative_information_score: 27422.0165, mean_absolute_error: 0.0914, 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: 0.2239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.404, scimark_benchmark: 1247.5353, usercpu_time_millis: 429.201, usercpu_time_millis_testing: 17.929, usercpu_time_millis_training: 411.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9526, kappa: 0.8828, kb_relative_information_score: 25489.5913, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4462, scimark_benchmark: 1272.3366, usercpu_time_millis: 1574.789, usercpu_time_millis_testing: 101.395, usercpu_time_millis_training: 1473.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29334.9697, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1273.1388, usercpu_time_millis: 2164.6, usercpu_time_millis_testing: 64.311, usercpu_time_millis_training: 2100.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9525, kappa: 0.8827, kb_relative_information_score: 25799.7355, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425, scimark_benchmark: 1273.418, usercpu_time_millis: 2120.705, usercpu_time_millis_testing: 89.126, usercpu_time_millis_training: 2031.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9632, kappa: 0.9094, kb_relative_information_score: 28234.5612, mean_absolute_error: 0.081, 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: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1275.7157, usercpu_time_millis: 1355.22, usercpu_time_millis_testing: 77.063, usercpu_time_millis_training: 1278.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9122, kappa: 0.7784, kb_relative_information_score: 17471.919, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9196, predictive_accuracy: 0.9159, prior_entropy: 0.863, recall: 0.9159, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.6222, scimark_benchmark: 1261.8482, usercpu_time_millis: 452.348, usercpu_time_millis_testing: 33.541, usercpu_time_millis_training: 418.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.926, kappa: 0.814, kb_relative_information_score: 18849.6667, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5894, scimark_benchmark: 1266.5147, usercpu_time_millis: 1028.111, usercpu_time_millis_testing: 76.154, usercpu_time_millis_training: 951.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9465, kappa: 0.8675, kb_relative_information_score: 24257.0736, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4766, scimark_benchmark: 1256.8321, usercpu_time_millis: 197.902, usercpu_time_millis_testing: 12.841, usercpu_time_millis_training: 185.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9495, kappa: 0.8752, kb_relative_information_score: 26110.3152, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1267.9283, usercpu_time_millis: 1758.728, usercpu_time_millis_testing: 50.499, usercpu_time_millis_training: 1708.229,

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

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