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: 0.9945, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29453.9442, mean_absolute_error: 0.0639, 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: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3515, scimark_benchmark: 1270.831, usercpu_time_millis: 364.891, usercpu_time_millis_testing: 13.334, usercpu_time_millis_training: 351.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9313, kappa: 0.8277, kb_relative_information_score: 19359.4002, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5768, scimark_benchmark: 1276.9303, usercpu_time_millis: 347.136, usercpu_time_millis_testing: 26.711, usercpu_time_millis_training: 320.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 28850.0921, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3707, scimark_benchmark: 1261.4435, usercpu_time_millis: 521.775, usercpu_time_millis_testing: 19.305, usercpu_time_millis_training: 502.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29009.6307, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 1261.7251, usercpu_time_millis: 530.485, usercpu_time_millis_testing: 8.041, usercpu_time_millis_training: 522.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9571, kappa: 0.8945, kb_relative_information_score: 27760.1093, mean_absolute_error: 0.0854, 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: 0.2092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4049, scimark_benchmark: 1273.5604, usercpu_time_millis: 219.154, usercpu_time_millis_testing: 13.012, usercpu_time_millis_training: 206.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9577, kappa: 0.896, kb_relative_information_score: 28074.6383, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1269.8512, usercpu_time_millis: 407.806, usercpu_time_millis_testing: 15.205, usercpu_time_millis_training: 392.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 29580.342, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3663, scimark_benchmark: 1260.454, usercpu_time_millis: 139.751, usercpu_time_millis_testing: 3.913, usercpu_time_millis_training: 135.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 28833.0868, mean_absolute_error: 0.0728, 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: 0.1783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1264.0184, usercpu_time_millis: 957.23, usercpu_time_millis_testing: 37.889, usercpu_time_millis_training: 919.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28900.7549, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3829, scimark_benchmark: 1272.717, usercpu_time_millis: 660.18, usercpu_time_millis_testing: 7.697, usercpu_time_millis_training: 652.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9601, kappa: 0.9024, kb_relative_information_score: 29554.5742, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1271.947, usercpu_time_millis: 140.795, usercpu_time_millis_testing: 4.571, usercpu_time_millis_training: 136.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 29107.8783, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1251.7496, usercpu_time_millis: 477.855, usercpu_time_millis_testing: 5.97, usercpu_time_millis_training: 471.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29321.8352, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1257.3011, usercpu_time_millis: 660.073, usercpu_time_millis_testing: 13.377, usercpu_time_millis_training: 646.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29377.4721, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1265.2435, usercpu_time_millis: 927.01, usercpu_time_millis_testing: 15.321, usercpu_time_millis_training: 911.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9612, kappa: 0.905, kb_relative_information_score: 29452.227, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3903, scimark_benchmark: 1244.9565, usercpu_time_millis: 78.53, usercpu_time_millis_testing: 2.966, usercpu_time_millis_training: 75.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 28958.9001, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1262.9336, usercpu_time_millis: 886.451, usercpu_time_millis_testing: 26.192, usercpu_time_millis_training: 860.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9597, kappa: 0.9007, kb_relative_information_score: 27053.9253, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4061, scimark_benchmark: 1272.4524, usercpu_time_millis: 119.44, usercpu_time_millis_testing: 8.644, usercpu_time_millis_training: 110.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9579, kappa: 0.8965, kb_relative_information_score: 28555.4414, mean_absolute_error: 0.0733, 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: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4005, scimark_benchmark: 1249.6898, usercpu_time_millis: 185.73, usercpu_time_millis_testing: 4.537, usercpu_time_millis_training: 181.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9614, kappa: 0.9051, kb_relative_information_score: 28748.0584, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1273.8703, usercpu_time_millis: 669.817, usercpu_time_millis_testing: 10.011, usercpu_time_millis_training: 659.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28870.1052, mean_absolute_error: 0.0705, 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: 0.1728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1260.6675, usercpu_time_millis: 494.255, usercpu_time_millis_testing: 13.648, usercpu_time_millis_training: 480.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28899.7793, mean_absolute_error: 0.07, 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: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1253.1498, usercpu_time_millis: 139.802, usercpu_time_millis_testing: 4.895, usercpu_time_millis_training: 134.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9675, kappa: 0.9201, kb_relative_information_score: 29189.9401, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3543, scimark_benchmark: 1250.8398, usercpu_time_millis: 940.512, usercpu_time_millis_testing: 29.662, usercpu_time_millis_training: 910.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29337.0122, mean_absolute_error: 0.0645, 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: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3645, scimark_benchmark: 1271.415, usercpu_time_millis: 425.219, usercpu_time_millis_testing: 6.32, usercpu_time_millis_training: 418.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9589, kappa: 0.899, kb_relative_information_score: 28005.8124, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, scimark_benchmark: 1274.6596, usercpu_time_millis: 522.105, usercpu_time_millis_testing: 25.962, usercpu_time_millis_training: 496.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9554, kappa: 0.8896, kb_relative_information_score: 25360.0843, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1229.6225, usercpu_time_millis: 573.905, usercpu_time_millis_testing: 44.071, usercpu_time_millis_training: 529.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9652, kappa: 0.9144, kb_relative_information_score: 28045.3538, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3771, scimark_benchmark: 1256.2857, usercpu_time_millis: 324.701, usercpu_time_millis_testing: 15.954, usercpu_time_millis_training: 308.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28594.8844, mean_absolute_error: 0.0735, 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: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1261.7916, usercpu_time_millis: 465.876, usercpu_time_millis_testing: 6.324, usercpu_time_millis_training: 459.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.964, kappa: 0.9114, kb_relative_information_score: 28248.8945, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3764, scimark_benchmark: 1255.8793, usercpu_time_millis: 955.73, usercpu_time_millis_testing: 44.454, usercpu_time_millis_training: 911.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 29086.9287, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3767, scimark_benchmark: 1262.5349, usercpu_time_millis: 242.397, usercpu_time_millis_testing: 6.112, usercpu_time_millis_training: 236.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 29427.579, mean_absolute_error: 0.063, 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: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3655, scimark_benchmark: 1258.9217, usercpu_time_millis: 407.757, usercpu_time_millis_testing: 4.998, usercpu_time_millis_training: 402.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9669, kappa: 0.9189, kb_relative_information_score: 29821.6331, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1256.3814, usercpu_time_millis: 813.432, usercpu_time_millis_testing: 5.06, usercpu_time_millis_training: 808.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 29931.4222, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3738, scimark_benchmark: 1252.118, usercpu_time_millis: 896.642, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 891.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 28969.2709, mean_absolute_error: 0.0698, 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: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701, scimark_benchmark: 1255.6379, usercpu_time_millis: 814.678, usercpu_time_millis_testing: 23.656, usercpu_time_millis_training: 791.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29003.6475, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623, scimark_benchmark: 1251.559, usercpu_time_millis: 507.793, usercpu_time_millis_testing: 19.04, usercpu_time_millis_training: 488.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9625, kappa: 0.9073, kb_relative_information_score: 26617.6789, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4042, scimark_benchmark: 1254.684, usercpu_time_millis: 802.639, usercpu_time_millis_testing: 49.185, usercpu_time_millis_training: 753.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28941.5449, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3769, scimark_benchmark: 1257.0796, usercpu_time_millis: 394.745, usercpu_time_millis_testing: 9.31, usercpu_time_millis_training: 385.435,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29211.773, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1272.2965, usercpu_time_millis: 507.241, usercpu_time_millis_testing: 10.132, usercpu_time_millis_training: 497.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28400.2641, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3895, scimark_benchmark: 1252.7278, usercpu_time_millis: 555.212, usercpu_time_millis_testing: 20.564, usercpu_time_millis_training: 534.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9571, kappa: 0.8945, kb_relative_information_score: 28001.4707, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.405, scimark_benchmark: 1271.3689, usercpu_time_millis: 695.038, usercpu_time_millis_testing: 23.534, usercpu_time_millis_training: 671.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9675, kappa: 0.9201, kb_relative_information_score: 29474.1445, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1262.1115, usercpu_time_millis: 242.805, usercpu_time_millis_testing: 6.991, usercpu_time_millis_training: 235.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9585, kappa: 0.8977, kb_relative_information_score: 27618.1569, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1273.2592, usercpu_time_millis: 541.118, usercpu_time_millis_testing: 31.371, usercpu_time_millis_training: 509.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 28364.1183, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1258.075, usercpu_time_millis: 270.755, usercpu_time_millis_testing: 8.346, usercpu_time_millis_training: 262.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29338.9978, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3598, scimark_benchmark: 1260.5115, usercpu_time_millis: 573.54, usercpu_time_millis_testing: 12.393, usercpu_time_millis_training: 561.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 29627.5311, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721, scimark_benchmark: 1264.5531, usercpu_time_millis: 114.174, usercpu_time_millis_testing: 4.824, usercpu_time_millis_training: 109.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9316, kappa: 0.8284, kb_relative_information_score: 19359.0585, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5771, scimark_benchmark: 1244.8267, usercpu_time_millis: 168.573, usercpu_time_millis_testing: 12.447, usercpu_time_millis_training: 156.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29849.4557, mean_absolute_error: 0.0565, 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: 0.1385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654, scimark_benchmark: 1238.8345, usercpu_time_millis: 787.8, usercpu_time_millis_testing: 4.6, usercpu_time_millis_training: 783.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9631, kappa: 0.9092, kb_relative_information_score: 28242.1477, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1237.0719, usercpu_time_millis: 73.127, usercpu_time_millis_testing: 7.558, usercpu_time_millis_training: 65.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28672.6774, mean_absolute_error: 0.0737, 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: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3777, scimark_benchmark: 1237.6951, usercpu_time_millis: 230.389, usercpu_time_millis_testing: 10.972, usercpu_time_millis_training: 219.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29281.0426, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3686, scimark_benchmark: 1265.6484, usercpu_time_millis: 446.952, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 441.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29419.7513, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3539, scimark_benchmark: 1249.3205, usercpu_time_millis: 389.177, usercpu_time_millis_testing: 9.93, usercpu_time_millis_training: 379.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9261, kappa: 0.8145, kb_relative_information_score: 18845.2572, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9285, prior_entropy: 0.863, recall: 0.9285, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5895, scimark_benchmark: 1248.07, usercpu_time_millis: 453.374, usercpu_time_millis_testing: 36.164, usercpu_time_millis_training: 417.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 28685.1, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3826, scimark_benchmark: 1242.7565, usercpu_time_millis: 474.066, usercpu_time_millis_testing: 13.002, usercpu_time_millis_training: 461.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29342.2756, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1240.466, usercpu_time_millis: 775.405, usercpu_time_millis_testing: 23.095, usercpu_time_millis_training: 752.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9573, kappa: 0.8949, kb_relative_information_score: 27640.9412, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4079, scimark_benchmark: 1244.7572, usercpu_time_millis: 169.295, usercpu_time_millis_testing: 12.093, usercpu_time_millis_training: 157.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 29356.7118, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3862, scimark_benchmark: 1251.0417, usercpu_time_millis: 139.134, usercpu_time_millis_testing: 4.435, usercpu_time_millis_training: 134.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29654.5385, mean_absolute_error: 0.0608, 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: 0.149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497, scimark_benchmark: 1218.6138, usercpu_time_millis: 374.88, usercpu_time_millis_testing: 11.052, usercpu_time_millis_training: 363.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.957, kappa: 0.8943, kb_relative_information_score: 28116.7466, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4031, scimark_benchmark: 1234.3937, usercpu_time_millis: 722.525, usercpu_time_millis_testing: 18.65, usercpu_time_millis_training: 703.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.955, kappa: 0.8885, kb_relative_information_score: 25257.3997, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4423, scimark_benchmark: 1254.3874, usercpu_time_millis: 727.008, usercpu_time_millis_testing: 50.588, usercpu_time_millis_training: 676.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28459.7671, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3846, scimark_benchmark: 1234.7027, usercpu_time_millis: 891.857, usercpu_time_millis_testing: 36.444, usercpu_time_millis_training: 855.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29774.2828, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1240.8445, usercpu_time_millis: 111.061, usercpu_time_millis_testing: 4.653, usercpu_time_millis_training: 106.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.929, kappa: 0.8217, kb_relative_information_score: 19053.4105, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9313, prior_entropy: 0.863, recall: 0.9313, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5839, scimark_benchmark: 1233.8257, usercpu_time_millis: 615.265, usercpu_time_millis_testing: 43.819, usercpu_time_millis_training: 571.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28179.3339, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1252.4598, usercpu_time_millis: 654.94, usercpu_time_millis_testing: 33.073, usercpu_time_millis_training: 621.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29492.6722, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1240.4259, usercpu_time_millis: 818.772, usercpu_time_millis_testing: 16.801, usercpu_time_millis_training: 801.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9667, kappa: 0.9184, kb_relative_information_score: 29668.0365, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1253.578, usercpu_time_millis: 906.311, usercpu_time_millis_testing: 5.883, usercpu_time_millis_training: 900.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9288, kappa: 0.8213, kb_relative_information_score: 19127.6381, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5825, scimark_benchmark: 1251.9015, usercpu_time_millis: 413.724, usercpu_time_millis_testing: 37.441, usercpu_time_millis_training: 376.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9619, kappa: 0.906, kb_relative_information_score: 27509.7136, mean_absolute_error: 0.0918, 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: 0.225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1240.354, usercpu_time_millis: 208.341, usercpu_time_millis_testing: 12.731, usercpu_time_millis_training: 195.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29531.0668, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3622, scimark_benchmark: 1245.225, usercpu_time_millis: 645.261, usercpu_time_millis_testing: 6.013, usercpu_time_millis_training: 639.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 28743.6026, mean_absolute_error: 0.0724, 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: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3789, scimark_benchmark: 1252.2684, usercpu_time_millis: 866.484, usercpu_time_millis_testing: 22.92, usercpu_time_millis_training: 843.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9558, kappa: 0.8913, kb_relative_information_score: 28268.3958, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1241.3591, usercpu_time_millis: 100.37, usercpu_time_millis_testing: 3.536, usercpu_time_millis_training: 96.834,

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

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