Task
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.749, kappa: 0.7217, kb_relative_information_score: 1175.8909, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.0316, kappa: -0.0013, kb_relative_information_score: 0.5079, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0204, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8554, kappa: 0.8375, kb_relative_information_score: 1358.2417, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8605, predictive_accuracy: 0.8537, prior_entropy: 3.3218, recall: 0.8537, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1230.3004, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377, scimark_benchmark: 1230.3004, usercpu_time_millis: 1110, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8471, kappa: 0.8291, kb_relative_information_score: 1345.1258, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.852, predictive_accuracy: 0.8462, prior_entropy: 3.3218, recall: 0.8462, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.556, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377, scimark_benchmark: 1230.3004, usercpu_time_millis: 1120, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 308.5243, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9685, scimark_benchmark: 479.2609, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8238, kappa: 0.7998, kb_relative_information_score: 1292.2818, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8375, predictive_accuracy: 0.8198, prior_entropy: 3.3218, recall: 0.8198, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6305, scimark_benchmark: 473.1656, usercpu_time_millis: 4370, usercpu_time_millis_testing: 2000, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.749, kappa: 0.7217, kb_relative_information_score: 1175.8909, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7009, scimark_benchmark: 473.1656, usercpu_time_millis: 1760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8378, kappa: 0.82, kb_relative_information_score: 1331.9632, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.84, predictive_accuracy: 0.838, prior_entropy: 3.3218, recall: 0.838, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 1254.1389, usercpu_time_millis: 51330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 51310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9187, kappa: 0.91, kb_relative_information_score: 1458.2345, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9233, predictive_accuracy: 0.919, prior_entropy: 3.3218, recall: 0.919, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.414, scimark_benchmark: 473.1656, usercpu_time_millis: 15650, usercpu_time_millis_testing: 15650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.857, kappa: 0.8396, kb_relative_information_score: 1359.7309, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8622, predictive_accuracy: 0.8556, prior_entropy: 3.3218, recall: 0.8556, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5473, scimark_benchmark: 1235.2777, usercpu_time_millis: 2180, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7514, kappa: 0.7231, kb_relative_information_score: 980.8501, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7531, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566, scimark_benchmark: 1217.3844, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9555, kappa: 0.9505, kb_relative_information_score: 1514.1819, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 3.3218, recall: 0.9554, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3022, scimark_benchmark: 1253.3249, usercpu_time_millis: 17800, usercpu_time_millis_testing: 13170, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9304, kappa: 0.9226, kb_relative_information_score: 1476.7827, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9311, predictive_accuracy: 0.9303, prior_entropy: 3.3218, recall: 0.9303, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3549, scimark_benchmark: 477.5139, usercpu_time_millis: 1739980, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 1738430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9317, kappa: 0.924, kb_relative_information_score: 1480.8776, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9324, predictive_accuracy: 0.9316, prior_entropy: 3.3218, recall: 0.9316, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.352, scimark_benchmark: 1234.0928, usercpu_time_millis: 1432060, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 1430860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8833, kappa: 0.871, kb_relative_information_score: 1399.2825, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8841, predictive_accuracy: 0.8839, prior_entropy: 3.3218, recall: 0.8839, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.508, usercpu_time_millis: 48.661, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 48.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7886, kappa: 0.7684, kb_relative_information_score: 1245.0641, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7926, predictive_accuracy: 0.7916, prior_entropy: 3.3218, recall: 0.7916, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6805, usercpu_time_millis: 114.802, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 112.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8862, kappa: 0.8744, kb_relative_information_score: 1404.4124, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8912, predictive_accuracy: 0.887, prior_entropy: 3.3218, recall: 0.887, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5011, usercpu_time_millis: 225.431, usercpu_time_millis_testing: 12.611, usercpu_time_millis_training: 212.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8268, kappa: 0.8089, kb_relative_information_score: 1306.1414, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8296, predictive_accuracy: 0.828, prior_entropy: 3.3218, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6183, usercpu_time_millis: 453.454, usercpu_time_millis_testing: 26.919, usercpu_time_millis_training: 426.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6544, kappa: 0.6177, kb_relative_information_score: 1019.3824, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6573, predictive_accuracy: 0.656, prior_entropy: 3.3218, recall: 0.656, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8743, usercpu_time_millis: 24.05, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 22.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.1304, kappa: 0.0946, kb_relative_information_score: 235.7226, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1263, predictive_accuracy: 0.1858, prior_entropy: 3.3218, recall: 0.1858, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.3451, usercpu_time_millis: 3.397, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9486, kappa: 0.9428, kb_relative_information_score: 1507.1512, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9492, predictive_accuracy: 0.9485, prior_entropy: 3.3218, recall: 0.9485, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3382, usercpu_time_millis: 14.339, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 13.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.452, kappa: 0.3993, kb_relative_information_score: 692.1771, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4777, predictive_accuracy: 0.4595, prior_entropy: 3.3218, recall: 0.4595, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.096, usercpu_time_millis: 49.038, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 48.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8861, kappa: 0.8737, kb_relative_information_score: 1403.4823, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8867, predictive_accuracy: 0.8864, prior_entropy: 3.3218, recall: 0.8864, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5025, usercpu_time_millis: 72.24, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 71.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9187, kappa: 0.91, kb_relative_information_score: 1457.7347, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9233, predictive_accuracy: 0.919, prior_entropy: 3.3218, recall: 0.919, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4242, usercpu_time_millis: 27.385, usercpu_time_millis_testing: 5.448, usercpu_time_millis_training: 21.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.749, kappa: 0.7217, kb_relative_information_score: 1175.1581, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461, usercpu_time_millis: 11.374, usercpu_time_millis_testing: 2.106, usercpu_time_millis_training: 9.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7503, kappa: 0.721, kb_relative_information_score: 1174.4473, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7558, predictive_accuracy: 0.7489, prior_entropy: 3.3218, recall: 0.7489, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.747, usercpu_time_millis: 45.78, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 43.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9207, kappa: 0.9121, kb_relative_information_score: 1460.8385, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9259, predictive_accuracy: 0.9209, prior_entropy: 3.3218, recall: 0.9209, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.4193, usercpu_time_millis: 4.695, usercpu_time_millis_testing: 4.615, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8866, kappa: 0.8737, kb_relative_information_score: 1403.4618, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8889, predictive_accuracy: 0.8864, prior_entropy: 3.3218, recall: 0.8864, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5025, usercpu_time_millis: 7.252, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 7.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.95, kappa: 0.9442, kb_relative_information_score: 1509.259, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9509, predictive_accuracy: 0.9498, prior_entropy: 3.3218, recall: 0.9498, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.3341, usercpu_time_millis: 15.739, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 12.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9061, kappa: 0.8954, kb_relative_information_score: 1435.9174, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9068, predictive_accuracy: 0.9058, prior_entropy: 3.3218, recall: 0.9058, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574, usercpu_time_millis: 2.192, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9117, kappa: 0.9016, kb_relative_information_score: 1445.317, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9125, predictive_accuracy: 0.9115, prior_entropy: 3.3218, recall: 0.9115, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4435, usercpu_time_millis: 2.955, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 2.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8264, kappa: 0.8019, kb_relative_information_score: 1295.7801, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8507, predictive_accuracy: 0.8217, prior_entropy: 3.3218, recall: 0.8217, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, usercpu_time_millis: 19.069, usercpu_time_millis_testing: 15.754, usercpu_time_millis_training: 3.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.4861, kappa: 0.4426, kb_relative_information_score: 756.2976, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4951, predictive_accuracy: 0.4984, prior_entropy: 3.3218, recall: 0.4984, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3167, root_relative_squared_error: 1.0558, usercpu_time_millis: 23.441, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 23.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7765, kappa: 0.7524, kb_relative_information_score: 1221.3058, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7782, predictive_accuracy: 0.7772, prior_entropy: 3.3218, recall: 0.7772, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7037, usercpu_time_millis: 2.005, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8946, kappa: 0.8828, kb_relative_information_score: 1417.0531, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8961, predictive_accuracy: 0.8945, prior_entropy: 3.3218, recall: 0.8945, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4841, usercpu_time_millis: 181.677, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 181.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.0933, kappa: 0.106, kb_relative_information_score: 252.643, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0784, predictive_accuracy: 0.1959, prior_entropy: 3.3218, recall: 0.1959, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.401, root_relative_squared_error: 1.3368, usercpu_time_millis: 6.851, usercpu_time_millis_testing: 2.056, usercpu_time_millis_training: 4.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7873, kappa: 0.7635, kb_relative_information_score: 1238.1248, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7882, predictive_accuracy: 0.7872, prior_entropy: 3.3218, recall: 0.7872, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6877, usercpu_time_millis: 22.642, usercpu_time_millis_testing: 2.172, usercpu_time_millis_training: 20.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8147, kappa: 0.7942, kb_relative_information_score: 1284.1468, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8155, predictive_accuracy: 0.8148, prior_entropy: 3.3218, recall: 0.8148, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6415, usercpu_time_millis: 243.44, usercpu_time_millis_testing: 22.887, usercpu_time_millis_training: 220.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9436, kappa: 0.9372, kb_relative_information_score: 1498.7522, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9443, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3543, usercpu_time_millis: 23.415, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 22.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9455, kappa: 0.9393, kb_relative_information_score: 1501.8968, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9462, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3484, usercpu_time_millis: 146.133, usercpu_time_millis_testing: 17.815, usercpu_time_millis_training: 128.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9473, kappa: 0.9414, kb_relative_information_score: 1505.022, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.948, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.3423, usercpu_time_millis: 158.547, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 157.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.074, kappa: -0.0004, kb_relative_information_score: 93.9164, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0607, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4139, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 3.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.6099, kappa: 0.5745, kb_relative_information_score: 954.6636, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6216, predictive_accuracy: 0.6171, prior_entropy: 3.3218, recall: 0.6171, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9225, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8986, kappa: 0.887, kb_relative_information_score: 1423.3562, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9001, predictive_accuracy: 0.8983, prior_entropy: 3.3218, recall: 0.8983, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4754, usercpu_time_millis: 10.491, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 10.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 1519.7099, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9565, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125, usercpu_time_millis: 38.434, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 36.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7861, kappa: 0.7635, kb_relative_information_score: 1238.0668, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7874, predictive_accuracy: 0.7872, prior_entropy: 3.3218, recall: 0.7872, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6877, usercpu_time_millis: 14.217, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 13.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8893, kappa: 0.8772, kb_relative_information_score: 1408.6971, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8901, predictive_accuracy: 0.8895, prior_entropy: 3.3218, recall: 0.8895, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4955, usercpu_time_millis: 49.136, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 48.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9586, kappa: 0.954, kb_relative_information_score: 1523.8907, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9587, predictive_accuracy: 0.9586, prior_entropy: 3.3218, recall: 0.9586, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3034, usercpu_time_millis: 4295.024, usercpu_time_millis_testing: 9.689, usercpu_time_millis_training: 4285.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.5778, kappa: 0.5158, kb_relative_information_score: 866.9842, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8436, predictive_accuracy: 0.5637, prior_entropy: 3.3218, recall: 0.5637, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9847, usercpu_time_millis: 28259.469, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 28259.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6898, kappa: 0.663, kb_relative_information_score: 1087.0528, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6915, predictive_accuracy: 0.6968, prior_entropy: 3.3218, recall: 0.6968, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9354, kappa: 0.9282, kb_relative_information_score: 1485.1788, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9363, predictive_accuracy: 0.9353, prior_entropy: 3.3218, recall: 0.9353, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.936, kappa: 0.9289, kb_relative_information_score: 1486.2396, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9365, predictive_accuracy: 0.936, prior_entropy: 3.3218, recall: 0.936, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7272, kappa: 0.6987, kb_relative_information_score: 1094.4088, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7297, predictive_accuracy: 0.7288, prior_entropy: 3.3218, recall: 0.7288, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904, scimark_benchmark: 1143.0342, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9461, kappa: 0.94, kb_relative_information_score: 1215.2202, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 3.3218, recall: 0.946, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5034, scimark_benchmark: 1145.6061, usercpu_time_millis: 1760, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.746, kappa: 0.7168, kb_relative_information_score: 1132.9778, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7496, predictive_accuracy: 0.7451, prior_entropy: 3.3218, recall: 0.7451, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.7092, scimark_benchmark: 1146.5241, usercpu_time_millis: 7180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377, scimark_benchmark: 1174.9382, usercpu_time_millis: 1300, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9369, kappa: 0.9296, kb_relative_information_score: 470.1066, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9379, predictive_accuracy: 0.9366, prior_entropy: 3.3218, recall: 0.9366, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9084, scimark_benchmark: 1111.4679, usercpu_time_millis: 1100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9074, kappa: 0.8975, kb_relative_information_score: 1435.0937, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9145, predictive_accuracy: 0.9077, prior_entropy: 3.3218, recall: 0.9077, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3906, scimark_benchmark: 1264.6895, usercpu_time_millis: 5780, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9065, kappa: 0.8968, kb_relative_information_score: 1391.96, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9135, predictive_accuracy: 0.9071, prior_entropy: 3.3218, recall: 0.9071, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4147, scimark_benchmark: 1333.8847, usercpu_time_millis: 6320, usercpu_time_millis_testing: 6310, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8934, kappa: 0.8821, kb_relative_information_score: 1419.945, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8991, predictive_accuracy: 0.8939, prior_entropy: 3.3218, recall: 0.8939, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.466, scimark_benchmark: 1304.6992, usercpu_time_millis: 2450, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8538, kappa: 0.8368, kb_relative_information_score: 1361.663, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8561, predictive_accuracy: 0.8531, prior_entropy: 3.3218, recall: 0.8531, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5353, scimark_benchmark: 578.7162, usercpu_time_millis: 2700, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9171, kappa: 0.9079, kb_relative_information_score: 1241.0515, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9181, predictive_accuracy: 0.9171, prior_entropy: 3.3218, recall: 0.9171, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4957, scimark_benchmark: 1115.8111, usercpu_time_millis: 2380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8159, kappa: 0.7935, kb_relative_information_score: 1283.6702, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.83, predictive_accuracy: 0.8142, prior_entropy: 3.3218, recall: 0.8142, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.635, scimark_benchmark: 1078.8928, usercpu_time_millis: 2670, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7271, kappa: 0.698, kb_relative_information_score: 1102.0421, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7295, predictive_accuracy: 0.7282, prior_entropy: 3.3218, recall: 0.7282, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6839, scimark_benchmark: 804.6452, usercpu_time_millis: 2230, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8843, kappa: 0.8723, kb_relative_information_score: 1406.6828, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8951, predictive_accuracy: 0.8851, prior_entropy: 3.3218, recall: 0.8851, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.4209, scimark_benchmark: 950.3601, usercpu_time_millis: 5040, usercpu_time_millis_testing: 3130, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8907, kappa: 0.88, kb_relative_information_score: 1368.6931, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9008, predictive_accuracy: 0.892, prior_entropy: 3.3218, recall: 0.892, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4392, scimark_benchmark: 1295.6123, usercpu_time_millis: 3640, usercpu_time_millis_testing: 1960, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8884, kappa: 0.8779, kb_relative_information_score: 1457.3707, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8996, predictive_accuracy: 0.8901, prior_entropy: 3.3218, recall: 0.8901, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3953, scimark_benchmark: 1113.3662, usercpu_time_millis: 5320, usercpu_time_millis_testing: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.872, kappa: 0.8591, kb_relative_information_score: 1425.2765, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8853, predictive_accuracy: 0.8732, prior_entropy: 3.3218, recall: 0.8732, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4369, scimark_benchmark: 1102.4168, usercpu_time_millis: 3290, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.113, kappa: 0.0808, kb_relative_information_score: 175.9627, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1258, predictive_accuracy: 0.1739, prior_entropy: 3.3218, recall: 0.1739, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9712, scimark_benchmark: 717.6897, usercpu_time_millis: 13500, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 13290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 308.5243, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9685, scimark_benchmark: 755.3216, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.7606, kappa: 0.7342, kb_relative_information_score: 1194.1059, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7605, predictive_accuracy: 0.7608, prior_entropy: 3.3218, recall: 0.7608, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, scimark_benchmark: 723.2629, usercpu_time_millis: 12180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 12130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.1588, kappa: 0.0978, kb_relative_information_score: 213.4106, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.2349, predictive_accuracy: 0.189, prior_entropy: 3.3218, recall: 0.189, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9658, scimark_benchmark: 946.9383, usercpu_time_millis: 7000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7493, kappa: 0.7224, kb_relative_information_score: 1169.2458, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7504, predictive_accuracy: 0.7502, prior_entropy: 3.3218, recall: 0.7502, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7001, scimark_benchmark: 944.2477, usercpu_time_millis: 960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9142, kappa: 0.9051, kb_relative_information_score: 1448.7511, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9194, predictive_accuracy: 0.9146, prior_entropy: 3.3218, recall: 0.9146, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4146, scimark_benchmark: 945.8307, usercpu_time_millis: 7560, usercpu_time_millis_testing: 7380, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9581, kappa: 0.9533, kb_relative_information_score: 473.5459, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9585, predictive_accuracy: 0.9579, prior_entropy: 3.3218, recall: 0.9579, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9084, scimark_benchmark: 935.6931, usercpu_time_millis: 20090, usercpu_time_millis_testing: 17250, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377, scimark_benchmark: 901.458, usercpu_time_millis: 1180, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9249, kappa: 0.9163, kb_relative_information_score: 1436.708, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9257, predictive_accuracy: 0.9247, prior_entropy: 3.3218, recall: 0.9247, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3621, scimark_benchmark: 943.7305, usercpu_time_millis: 60380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.946, kappa: 0.94, kb_relative_information_score: 1194.9359, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 3.3218, recall: 0.946, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5149, scimark_benchmark: 943.7305, usercpu_time_millis: 14660, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 13950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 308.5243, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.0933, kappa: 0.106, kb_relative_information_score: 252.643, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0784, predictive_accuracy: 0.1959, prior_entropy: 3.3218, recall: 0.1959, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.401, root_relative_squared_error: 1.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8238, kappa: 0.7998, kb_relative_information_score: 1292.2818, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8375, predictive_accuracy: 0.8198, prior_entropy: 3.3218, recall: 0.8198, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 308.5243, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.0933, kappa: 0.106, kb_relative_information_score: 252.643, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0784, predictive_accuracy: 0.1959, prior_entropy: 3.3218, recall: 0.1959, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.401, root_relative_squared_error: 1.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8238, kappa: 0.7998, kb_relative_information_score: 1292.2818, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8375, predictive_accuracy: 0.8198, prior_entropy: 3.3218, recall: 0.8198, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7272, kappa: 0.6987, kb_relative_information_score: 1094.4088, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7297, predictive_accuracy: 0.7288, prior_entropy: 3.3218, recall: 0.7288, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.0316, kappa: -0.0013, kb_relative_information_score: 0.5079, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0204, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.6864, kappa: 0.6512, kb_relative_information_score: 1069.713, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6876, predictive_accuracy: 0.6861, prior_entropy: 3.3218, recall: 0.6861, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8649, kappa: 0.8479, kb_relative_information_score: 1369.592, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8632, prior_entropy: 3.3218, recall: 0.8632, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7873, kappa: 0.7635, kb_relative_information_score: 1230.1251, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7882, predictive_accuracy: 0.7872, prior_entropy: 3.3218, recall: 0.7872, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.0316, kappa: -0.0013, kb_relative_information_score: 0.5079, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0204, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8893, kappa: 0.8772, kb_relative_information_score: 1413.5853, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8896, predictive_accuracy: 0.8895, prior_entropy: 3.3218, recall: 0.8895, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9417, kappa: 0.9351, kb_relative_information_score: 1498.8687, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9424, predictive_accuracy: 0.9416, prior_entropy: 3.3218, recall: 0.9416, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8554, kappa: 0.8375, kb_relative_information_score: 1358.2417, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8605, predictive_accuracy: 0.8537, prior_entropy: 3.3218, recall: 0.8537, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8868, kappa: 0.8717, kb_relative_information_score: 1362.8668, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8935, predictive_accuracy: 0.8845, prior_entropy: 3.3218, recall: 0.8845, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4763,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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