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: 0.9248, f_measure: 0.8637, kappa: 0.67, kb_relative_information_score: 17499.9932, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8661, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6856, scimark_benchmark: 1359.4175, usercpu_time_millis: 167.737, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 166.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.919, kappa: 0.7967, kb_relative_information_score: 22377.5709, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9216, prior_entropy: 0.863, recall: 0.9216, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5361, scimark_benchmark: 1367.7462, usercpu_time_millis: 400.427, usercpu_time_millis_testing: 6.134, usercpu_time_millis_training: 394.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29291.1328, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1365.7251, usercpu_time_millis: 156.122, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 155.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9391, kappa: 0.8494, kb_relative_information_score: 26084.3954, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4708, scimark_benchmark: 1373.6568, usercpu_time_millis: 1967.869, usercpu_time_millis_testing: 14.859, usercpu_time_millis_training: 1953.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.4997, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1366.8286, usercpu_time_millis: 35.334, usercpu_time_millis_testing: 5.516, usercpu_time_millis_training: 29.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.5197, 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: 1369.6531, usercpu_time_millis: 51.167, usercpu_time_millis_testing: 6.037, usercpu_time_millis_training: 45.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 27624.5824, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1369.0598, usercpu_time_millis: 3145.093, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 3140.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9231, kappa: 0.8073, kb_relative_information_score: 24546.6322, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5068, scimark_benchmark: 1367.7802, usercpu_time_millis: 1396.173, usercpu_time_millis_testing: 13.085, usercpu_time_millis_training: 1383.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29838.9327, mean_absolute_error: 0.0579, 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: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526, scimark_benchmark: 1375.0713, usercpu_time_millis: 1895.626, usercpu_time_millis_testing: 3.153, usercpu_time_millis_training: 1892.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9383, kappa: 0.8475, kb_relative_information_score: 26153.4375, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4754, scimark_benchmark: 1366.1418, usercpu_time_millis: 275.301, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 274.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9523, kappa: 0.883, kb_relative_information_score: 27279.748, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, scimark_benchmark: 1362.3568, usercpu_time_millis: 741.264, usercpu_time_millis_testing: 11.69, usercpu_time_millis_training: 729.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9286, kappa: 0.8218, kb_relative_information_score: 19035.7869, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5895, scimark_benchmark: 1365.4431, usercpu_time_millis: 143.742, usercpu_time_millis_testing: 11.487, usercpu_time_millis_training: 132.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28113.1211, mean_absolute_error: 0.0802, 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: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3971, scimark_benchmark: 1364.7935, usercpu_time_millis: 785.593, usercpu_time_millis_testing: 8.576, usercpu_time_millis_training: 777.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29782.6116, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3576, scimark_benchmark: 1372.0657, usercpu_time_millis: 53.804, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 53.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8668, kappa: 0.6771, kb_relative_information_score: 17551.2482, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8688, predictive_accuracy: 0.8656, prior_entropy: 0.863, recall: 0.8656, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6828, scimark_benchmark: 1369.1364, usercpu_time_millis: 144.305, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 143.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.9646, 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: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.7937, usercpu_time_millis: 14.63, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 14.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28399.8394, mean_absolute_error: 0.0766, 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: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1368.3726, usercpu_time_millis: 974.235, usercpu_time_millis_testing: 19.773, usercpu_time_millis_training: 954.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.9549, 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: 1328.3169, usercpu_time_millis: 54.788, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 47.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29034.8998, mean_absolute_error: 0.0703, 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: 0.1723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571, scimark_benchmark: 1371.3479, usercpu_time_millis: 337.649, usercpu_time_millis_testing: 8.545, usercpu_time_millis_training: 329.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8641, kappa: 0.6674, kb_relative_information_score: 16565.611, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8643, predictive_accuracy: 0.8639, prior_entropy: 0.863, recall: 0.8639, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.7006, scimark_benchmark: 1367.292, usercpu_time_millis: 424.312, usercpu_time_millis_testing: 10.226, usercpu_time_millis_training: 414.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9358, kappa: 0.841, kb_relative_information_score: 25422.096, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4839, scimark_benchmark: 1374.484, usercpu_time_millis: 580.454, usercpu_time_millis_testing: 6.238, usercpu_time_millis_training: 574.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8839, kappa: 0.7155, kb_relative_information_score: 18705.3077, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8839, predictive_accuracy: 0.8839, prior_entropy: 0.863, recall: 0.8839, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6216, scimark_benchmark: 1370.4944, usercpu_time_millis: 244.635, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 239.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9241, kappa: 0.81, kb_relative_information_score: 23445.3228, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9267, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5163, scimark_benchmark: 1372.8277, usercpu_time_millis: 219.593, usercpu_time_millis_testing: 8.198, usercpu_time_millis_training: 211.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28525.8572, mean_absolute_error: 0.0758, 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: 0.1858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1372.1195, usercpu_time_millis: 191.333, usercpu_time_millis_testing: 5.225, usercpu_time_millis_training: 186.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29121.1115, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3741, scimark_benchmark: 1373.9086, usercpu_time_millis: 166.289, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 164.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3219, 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: 1360.4848, usercpu_time_millis: 68.235, usercpu_time_millis_testing: 6.365, usercpu_time_millis_training: 61.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.2455, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1375.4713, usercpu_time_millis: 35.58, usercpu_time_millis_testing: 6.114, usercpu_time_millis_training: 29.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8586, kappa: 0.6537, kb_relative_information_score: 15609.6526, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.738, scimark_benchmark: 1369.7605, usercpu_time_millis: 29.455, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 27.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29770.9704, mean_absolute_error: 0.0589, 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: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1366.716, usercpu_time_millis: 12867.844, usercpu_time_millis_testing: 24.04, usercpu_time_millis_training: 12843.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29591.0284, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3582, scimark_benchmark: 1364.8023, usercpu_time_millis: 7542.603, usercpu_time_millis_testing: 26.011, usercpu_time_millis_training: 7516.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 28822.0909, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3892, scimark_benchmark: 1366.9852, usercpu_time_millis: 7098.932, usercpu_time_millis_testing: 15.923, usercpu_time_millis_training: 7083.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29002.4921, mean_absolute_error: 0.0682, 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: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3811, scimark_benchmark: 1368.7312, usercpu_time_millis: 5666.952, usercpu_time_millis_testing: 15.516, usercpu_time_millis_training: 5651.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29773.8322, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514, scimark_benchmark: 1366.7643, usercpu_time_millis: 11214.293, usercpu_time_millis_testing: 29.253, usercpu_time_millis_training: 11185.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 30024.6621, mean_absolute_error: 0.0553, 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: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, scimark_benchmark: 1368.4375, usercpu_time_millis: 4042.79, usercpu_time_millis_testing: 8.604, usercpu_time_millis_training: 4034.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29794.996, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3543, scimark_benchmark: 1367.8353, usercpu_time_millis: 8460.348, usercpu_time_millis_testing: 13.216, usercpu_time_millis_training: 8447.132,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9357, kappa: 0.8403, kb_relative_information_score: 23661.9125, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5012, scimark_benchmark: 1367.3773, usercpu_time_millis: 187.892, usercpu_time_millis_testing: 8.892, usercpu_time_millis_training: 179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8583, kappa: 0.6542, kb_relative_information_score: 15627.9584, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8577, prior_entropy: 0.863, recall: 0.8577, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7391, scimark_benchmark: 1367.3252, usercpu_time_millis: 156.641, usercpu_time_millis_testing: 5.465, usercpu_time_millis_training: 151.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9152, kappa: 0.7868, kb_relative_information_score: 23860.1068, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9196, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5296, scimark_benchmark: 1368.9652, usercpu_time_millis: 2077.936, usercpu_time_millis_testing: 12.215, usercpu_time_millis_training: 2065.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29738.5487, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.344, scimark_benchmark: 1365.8428, usercpu_time_millis: 1110.218, usercpu_time_millis_testing: 14.59, usercpu_time_millis_training: 1095.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29402.564, mean_absolute_error: 0.0636, 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: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 1365.8687, usercpu_time_millis: 2670.845, usercpu_time_millis_testing: 6.709, usercpu_time_millis_training: 2664.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9549, kappa: 0.8893, kb_relative_information_score: 28233.7033, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107, scimark_benchmark: 1368.2059, usercpu_time_millis: 7773.686, usercpu_time_millis_testing: 16.642, usercpu_time_millis_training: 7757.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.2881, 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: 1369.4499, usercpu_time_millis: 32.108, usercpu_time_millis_testing: 8.731, usercpu_time_millis_training: 23.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9198, kappa: 0.7986, kb_relative_information_score: 24694.5589, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5119, scimark_benchmark: 1363.9781, usercpu_time_millis: 1390.376, usercpu_time_millis_testing: 8.995, usercpu_time_millis_training: 1381.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9522, kappa: 0.8823, kb_relative_information_score: 26850.3603, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.432, scimark_benchmark: 1365.1194, usercpu_time_millis: 1095.252, usercpu_time_millis_testing: 24.432, usercpu_time_millis_training: 1070.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8704, kappa: 0.684, kb_relative_information_score: 17671.4774, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8712, predictive_accuracy: 0.8698, prior_entropy: 0.863, recall: 0.8698, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6659, scimark_benchmark: 1365.848, usercpu_time_millis: 1257.448, usercpu_time_millis_testing: 8.369, usercpu_time_millis_training: 1249.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8621, kappa: 0.6593, kb_relative_information_score: 14024.7194, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8614, predictive_accuracy: 0.8634, prior_entropy: 0.863, recall: 0.8634, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7113, scimark_benchmark: 1367.0845, usercpu_time_millis: 120.246, usercpu_time_millis_testing: 8.182, usercpu_time_millis_training: 112.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.955, kappa: 0.8898, kb_relative_information_score: 27977.8346, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1365.9143, usercpu_time_millis: 5035.433, usercpu_time_millis_testing: 18.459, usercpu_time_millis_training: 5016.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 28951.5114, mean_absolute_error: 0.0704, 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: 0.1725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3676, scimark_benchmark: 1367.3331, usercpu_time_millis: 85.856, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 84.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9398, kappa: 0.8516, kb_relative_information_score: 26174.5006, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4679, scimark_benchmark: 1365.7874, usercpu_time_millis: 2498.935, usercpu_time_millis_testing: 10.935, usercpu_time_millis_training: 2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9567, kappa: 0.8939, kb_relative_information_score: 28236.6031, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1371.1987, usercpu_time_millis: 6366.319, usercpu_time_millis_testing: 18.149, usercpu_time_millis_training: 6348.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8588, kappa: 0.6534, kb_relative_information_score: 15272.7428, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8586, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.734, scimark_benchmark: 1366.7013, usercpu_time_millis: 141.289, usercpu_time_millis_testing: 3.531, usercpu_time_millis_training: 137.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9509, kappa: 0.8795, kb_relative_information_score: 27158.5844, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4342, scimark_benchmark: 1364.8219, usercpu_time_millis: 147.307, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 145.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9546, kappa: 0.8887, kb_relative_information_score: 28040.7694, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4159, scimark_benchmark: 1368.7792, usercpu_time_millis: 2353.826, usercpu_time_millis_testing: 4.032, usercpu_time_millis_training: 2349.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 28425.4002, mean_absolute_error: 0.0761, 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: 0.1865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938, scimark_benchmark: 1365.3307, usercpu_time_millis: 2030.828, usercpu_time_millis_testing: 14.133, usercpu_time_millis_training: 2016.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9647, kappa: 0.9132, kb_relative_information_score: 29217.1604, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703, scimark_benchmark: 1367.8658, usercpu_time_millis: 6936.204, usercpu_time_millis_testing: 21.09, usercpu_time_millis_training: 6915.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.965, kappa: 0.9142, kb_relative_information_score: 29575.5881, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652, scimark_benchmark: 1373.5901, usercpu_time_millis: 12013.058, usercpu_time_millis_testing: 20.777, usercpu_time_millis_training: 11992.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29608.7513, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1361.4076, usercpu_time_millis: 11323.775, usercpu_time_millis_testing: 26.712, usercpu_time_millis_training: 11297.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9605, kappa: 0.9027, kb_relative_information_score: 27591.7656, mean_absolute_error: 0.0899, 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: 0.2202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1334.2238, usercpu_time_millis: 274, usercpu_time_millis_testing: 9.032, usercpu_time_millis_training: 264.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9176, kappa: 0.7928, kb_relative_information_score: 24242.3459, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5194, scimark_benchmark: 1367.728, usercpu_time_millis: 118.132, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 117.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8604, kappa: 0.6614, kb_relative_information_score: 17066.7555, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8624, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6975, scimark_benchmark: 1367.9031, usercpu_time_millis: 1080.158, usercpu_time_millis_testing: 6.165, usercpu_time_millis_training: 1073.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8842, kappa: 0.7055, kb_relative_information_score: 14661.6876, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8971, predictive_accuracy: 0.8909, prior_entropy: 0.863, recall: 0.8909, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6846, scimark_benchmark: 1365.951, usercpu_time_millis: 65.685, usercpu_time_millis_testing: 3.343, usercpu_time_millis_training: 62.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.884, kappa: 0.7078, kb_relative_information_score: 13698.3865, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.863, recall: 0.8883, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7091, scimark_benchmark: 1367.8804, usercpu_time_millis: 166.003, usercpu_time_millis_testing: 10.928, usercpu_time_millis_training: 155.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9497, kappa: 0.8765, kb_relative_information_score: 26995.3627, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.438, scimark_benchmark: 1361.6693, usercpu_time_millis: 1086.846, usercpu_time_millis_testing: 12.034, usercpu_time_millis_training: 1074.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 30170.7417, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1348.4423, usercpu_time_millis: 14037.997, usercpu_time_millis_testing: 19.002, usercpu_time_millis_training: 14018.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9535, kappa: 0.8858, kb_relative_information_score: 27557.6094, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1370.328, usercpu_time_millis: 2465.235, usercpu_time_millis_testing: 22.188, usercpu_time_millis_training: 2443.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9174, kappa: 0.7921, kb_relative_information_score: 24037.8849, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5198, scimark_benchmark: 1365.3696, usercpu_time_millis: 1335.768, usercpu_time_millis_testing: 8.608, usercpu_time_millis_training: 1327.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9425, kappa: 0.858, kb_relative_information_score: 26322.7705, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4667, scimark_benchmark: 1343.5291, usercpu_time_millis: 2769.262, usercpu_time_millis_testing: 8.884, usercpu_time_millis_training: 2760.378,

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