Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29830.6337, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539, scimark_benchmark: 1370.0457, usercpu_time_millis: 8188.483, usercpu_time_millis_testing: 19.823, usercpu_time_millis_training: 8168.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9134, kappa: 0.7824, kb_relative_information_score: 24010.1489, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9177, predictive_accuracy: 0.9163, prior_entropy: 0.863, recall: 0.9163, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5368, scimark_benchmark: 1369.4419, usercpu_time_millis: 5057.338, usercpu_time_millis_testing: 11.673, usercpu_time_millis_training: 5045.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9215, kappa: 0.8031, kb_relative_information_score: 24646.2758, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1359.1251, usercpu_time_millis: 3082.095, usercpu_time_millis_testing: 10.086, usercpu_time_millis_training: 3072.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6748, 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: 1376.4663, usercpu_time_millis: 63.757, usercpu_time_millis_testing: 8.385, usercpu_time_millis_training: 55.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8689, kappa: 0.6805, kb_relative_information_score: 17509.9135, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8683, prior_entropy: 0.863, recall: 0.8683, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6727, scimark_benchmark: 1370.5093, usercpu_time_millis: 226.453, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 224.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29670.9642, mean_absolute_error: 0.0602, 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: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3561, scimark_benchmark: 1372.9413, usercpu_time_millis: 7146.078, usercpu_time_millis_testing: 19.63, usercpu_time_millis_training: 7126.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9614, kappa: 0.9054, kb_relative_information_score: 28845.5784, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1368.3811, usercpu_time_millis: 5593.521, usercpu_time_millis_testing: 22.846, usercpu_time_millis_training: 5570.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9521, kappa: 0.8825, kb_relative_information_score: 27933.4318, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224, scimark_benchmark: 1368.9939, usercpu_time_millis: 9221.537, usercpu_time_millis_testing: 17.402, usercpu_time_millis_training: 9204.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8593, kappa: 0.6541, kb_relative_information_score: 14946.852, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8598, prior_entropy: 0.863, recall: 0.8598, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7246, scimark_benchmark: 1375.357, usercpu_time_millis: 119.712, usercpu_time_millis_testing: 4.177, usercpu_time_millis_training: 115.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9321, kappa: 0.8309, kb_relative_information_score: 25223.6828, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1347.3318, usercpu_time_millis: 600.283, usercpu_time_millis_testing: 3.143, usercpu_time_millis_training: 597.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9338, kappa: 0.836, kb_relative_information_score: 25747.774, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4884, scimark_benchmark: 1370.6486, usercpu_time_millis: 7015.418, usercpu_time_millis_testing: 11.81, usercpu_time_millis_training: 7003.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29895.5215, mean_absolute_error: 0.0576, 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: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3441, scimark_benchmark: 1368.0753, usercpu_time_millis: 1030.857, usercpu_time_millis_testing: 4.819, usercpu_time_millis_training: 1026.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9356, kappa: 0.8408, kb_relative_information_score: 26082.9921, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4784, scimark_benchmark: 1368.2809, usercpu_time_millis: 1224.581, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 1222.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9362, kappa: 0.8418, kb_relative_information_score: 25974.832, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4774, scimark_benchmark: 1365.7039, usercpu_time_millis: 2297.123, usercpu_time_millis_testing: 7.986, usercpu_time_millis_training: 2289.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29690.4565, mean_absolute_error: 0.0601, 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: 0.1472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1369.4627, usercpu_time_millis: 1903.782, usercpu_time_millis_testing: 10.126, usercpu_time_millis_training: 1893.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28111.4651, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1373.4886, usercpu_time_millis: 1230.608, usercpu_time_millis_testing: 15.181, usercpu_time_millis_training: 1215.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 28368.1398, mean_absolute_error: 0.0775, 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: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3884, scimark_benchmark: 1371.2027, usercpu_time_millis: 565.037, usercpu_time_millis_testing: 18.761, usercpu_time_millis_training: 546.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8589, kappa: 0.6536, kb_relative_information_score: 15288.7288, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8592, prior_entropy: 0.863, recall: 0.8592, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7331, scimark_benchmark: 1361.8091, usercpu_time_millis: 60.131, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 58.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29793.7477, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489, scimark_benchmark: 1371.1387, usercpu_time_millis: 4961.179, usercpu_time_millis_testing: 22.649, usercpu_time_millis_training: 4938.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 28488.5249, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3926, scimark_benchmark: 1371.6793, usercpu_time_millis: 482.525, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 478.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.92, kappa: 0.7992, kb_relative_information_score: 23041.8318, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.525, scimark_benchmark: 1374.7148, usercpu_time_millis: 591.83, usercpu_time_millis_testing: 6.137, usercpu_time_millis_training: 585.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9048, kappa: 0.7629, kb_relative_information_score: 20332.1718, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9055, predictive_accuracy: 0.9066, prior_entropy: 0.863, recall: 0.9066, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5794, scimark_benchmark: 1371.8899, usercpu_time_millis: 96.94, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 95.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9664, kappa: 0.9176, kb_relative_information_score: 29443.7242, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1352.5176, usercpu_time_millis: 117.146, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 115.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3091, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1374.686, usercpu_time_millis: 14.273, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 13.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8708, kappa: 0.6849, kb_relative_information_score: 17633.1136, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8715, predictive_accuracy: 0.8702, prior_entropy: 0.863, recall: 0.8702, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6647, scimark_benchmark: 1381.0203, usercpu_time_millis: 82.757, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 82.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2308, 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: 1370.4988, usercpu_time_millis: 50.165, usercpu_time_millis_testing: 8.036, usercpu_time_millis_training: 42.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9694, kappa: 0.925, kb_relative_information_score: 30007.8031, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3448, scimark_benchmark: 1374.1172, usercpu_time_millis: 4267.542, usercpu_time_millis_testing: 14.499, usercpu_time_millis_training: 4253.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9404, kappa: 0.8529, kb_relative_information_score: 26123.9741, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, scimark_benchmark: 1367.5968, usercpu_time_millis: 2412.442, usercpu_time_millis_testing: 13.618, usercpu_time_millis_training: 2398.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9546, kappa: 0.8888, kb_relative_information_score: 27883.5253, mean_absolute_error: 0.0816, 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: 0.1999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4171, scimark_benchmark: 1373.0537, usercpu_time_millis: 4198.191, usercpu_time_millis_testing: 15.68, usercpu_time_millis_training: 4182.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8688, kappa: 0.6812, kb_relative_information_score: 17740.7008, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8703, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6722, scimark_benchmark: 1367.9842, usercpu_time_millis: 340.68, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 339.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8653, kappa: 0.6735, kb_relative_information_score: 17342.3253, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8673, predictive_accuracy: 0.864, prior_entropy: 0.863, recall: 0.864, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.687, scimark_benchmark: 1365.2047, usercpu_time_millis: 961.779, usercpu_time_millis_testing: 4.667, usercpu_time_millis_training: 957.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9604, kappa: 0.9026, kb_relative_information_score: 28609.3211, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3882, scimark_benchmark: 1364.3045, usercpu_time_millis: 2157.902, usercpu_time_millis_testing: 13.299, usercpu_time_millis_training: 2144.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 28629.158, mean_absolute_error: 0.0734, 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: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1376.923, usercpu_time_millis: 1126.377, usercpu_time_millis_testing: 10.938, usercpu_time_millis_training: 1115.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8669, kappa: 0.6731, kb_relative_information_score: 15336.1965, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8672, prior_entropy: 0.863, recall: 0.8672, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6876, scimark_benchmark: 1371.2778, usercpu_time_millis: 280.29, usercpu_time_millis_testing: 9.127, usercpu_time_millis_training: 271.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.96, kappa: 0.9018, kb_relative_information_score: 28521.2845, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1358.9132, usercpu_time_millis: 650.283, usercpu_time_millis_testing: 4.742, usercpu_time_millis_training: 645.541,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9362, kappa: 0.842, kb_relative_information_score: 25514.7757, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.485, scimark_benchmark: 1370.6852, usercpu_time_millis: 281.917, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 280.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9181, kappa: 0.7944, kb_relative_information_score: 24672.7689, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9223, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5171, scimark_benchmark: 1369.3992, usercpu_time_millis: 2747.557, usercpu_time_millis_testing: 7.489, usercpu_time_millis_training: 2740.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.7048, 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: 1366.8397, usercpu_time_millis: 38.354, usercpu_time_millis_testing: 6.639, usercpu_time_millis_training: 31.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9255, kappa: 0.8138, kb_relative_information_score: 24609.281, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9273, prior_entropy: 0.863, recall: 0.9273, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, scimark_benchmark: 1369.8089, usercpu_time_millis: 1153.634, usercpu_time_millis_testing: 7.774, usercpu_time_millis_training: 1145.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29353.0924, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1362.2657, usercpu_time_millis: 226.784, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 224.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.956, kappa: 0.8921, kb_relative_information_score: 28439.9078, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4054, scimark_benchmark: 1368.4843, usercpu_time_millis: 946.015, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 944.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 28705.7227, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3924, scimark_benchmark: 1371.2018, usercpu_time_millis: 14213.552, usercpu_time_millis_testing: 22.693, usercpu_time_millis_training: 14190.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 29875.6912, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3468, scimark_benchmark: 1368.5167, usercpu_time_millis: 4981.897, usercpu_time_millis_testing: 25.214, usercpu_time_millis_training: 4956.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 29330.2279, mean_absolute_error: 0.0639, 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: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 1371.2556, usercpu_time_millis: 150.074, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 149.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9327, kappa: 0.8312, kb_relative_information_score: 19423.6891, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5745, scimark_benchmark: 1368.187, usercpu_time_millis: 208.172, usercpu_time_millis_testing: 13.66, usercpu_time_millis_training: 194.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 30228.5127, mean_absolute_error: 0.052, 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: 0.1274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1377.1516, usercpu_time_millis: 13972.485, usercpu_time_millis_testing: 22.651, usercpu_time_millis_training: 13949.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9527, kappa: 0.8839, kb_relative_information_score: 27131.934, mean_absolute_error: 0.0922, 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: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4289, scimark_benchmark: 1371.7772, usercpu_time_millis: 36.216, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 35.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9487, kappa: 0.874, kb_relative_information_score: 27076.3191, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4421, scimark_benchmark: 1370.0687, usercpu_time_millis: 3718.497, usercpu_time_millis_testing: 15.668, usercpu_time_millis_training: 3702.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26676.1553, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4528, scimark_benchmark: 1368.2286, usercpu_time_millis: 1529.121, usercpu_time_millis_testing: 7.544, usercpu_time_millis_training: 1521.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.9604, 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: 1365.5303, usercpu_time_millis: 23.409, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 21.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29846.6649, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3555, scimark_benchmark: 1370.4471, usercpu_time_millis: 9330.256, usercpu_time_millis_testing: 17.342, usercpu_time_millis_training: 9312.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8937, kappa: 0.7337, kb_relative_information_score: 14451.9717, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8958, predictive_accuracy: 0.8967, prior_entropy: 0.863, recall: 0.8967, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6921, scimark_benchmark: 1368.8318, usercpu_time_millis: 125.634, usercpu_time_millis_testing: 8.03, usercpu_time_millis_training: 117.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 27498.7057, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4279, scimark_benchmark: 1369.0515, usercpu_time_millis: 1891.554, usercpu_time_millis_testing: 9.589, usercpu_time_millis_training: 1881.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29615.3074, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1368.9454, usercpu_time_millis: 13253.054, usercpu_time_millis_testing: 20.754, usercpu_time_millis_training: 13232.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8578, kappa: 0.6512, kb_relative_information_score: 15527.4942, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8577, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7378, scimark_benchmark: 1367.4525, usercpu_time_millis: 376.745, usercpu_time_millis_testing: 10.523, usercpu_time_millis_training: 366.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9268, kappa: 0.8163, kb_relative_information_score: 19356.1175, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.929, prior_entropy: 0.863, recall: 0.929, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5792, scimark_benchmark: 1366.1607, usercpu_time_millis: 10.66, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 10.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9186, kappa: 0.7953, kb_relative_information_score: 24409.423, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5145, scimark_benchmark: 1359.7329, usercpu_time_millis: 1765.091, usercpu_time_millis_testing: 12.313, usercpu_time_millis_training: 1752.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9587, kappa: 0.8984, kb_relative_information_score: 28286.6855, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1368.5743, usercpu_time_millis: 772.069, usercpu_time_millis_testing: 7.861, usercpu_time_millis_training: 764.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29587.2745, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 1369.3648, usercpu_time_millis: 6119.507, usercpu_time_millis_testing: 15.183, usercpu_time_millis_training: 6104.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28754.7262, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1367.1261, usercpu_time_millis: 1951.014, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 1940.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28877.4892, mean_absolute_error: 0.0706, 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: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1365.6473, usercpu_time_millis: 727.458, usercpu_time_millis_testing: 5.184, usercpu_time_millis_training: 722.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 27710.8891, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4193, scimark_benchmark: 1369.3334, usercpu_time_millis: 583.941, usercpu_time_millis_testing: 6.34, usercpu_time_millis_training: 577.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29086.2816, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1377.3321, usercpu_time_millis: 1693.988, usercpu_time_millis_testing: 10.244, usercpu_time_millis_training: 1683.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28609.907, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1368.2737, usercpu_time_millis: 530.43, usercpu_time_millis_testing: 9.53, usercpu_time_millis_training: 520.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29725.3872, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3509, scimark_benchmark: 1375.3257, usercpu_time_millis: 4378.329, usercpu_time_millis_testing: 18.218, usercpu_time_millis_training: 4360.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29712.3876, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3466, scimark_benchmark: 1367.1504, usercpu_time_millis: 2727.63, usercpu_time_millis_testing: 31.563, usercpu_time_millis_training: 2696.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9168, kappa: 0.7907, kb_relative_information_score: 24479.7251, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5211, scimark_benchmark: 1369.1881, usercpu_time_millis: 2060.579, usercpu_time_millis_testing: 11.923, usercpu_time_millis_training: 2048.656,

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