OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

43620 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1110.6666, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3596, scimark_benchmark: 1376.5175, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1282.0992, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.221, scimark_benchmark: 1380.5439, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1276.5626, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2091, scimark_benchmark: 1380.8159, usercpu_time_millis: 10.607, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 10.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1273.1413, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1945, scimark_benchmark: 1374.878, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 2.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 767.3717, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8599, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6213, scimark_benchmark: 1369.6353, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1272.1804, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1791, scimark_benchmark: 1373.7023, usercpu_time_millis: 7.995, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 7.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0149, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1374.2647, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0991, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1371.0718, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.974, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.184, scimark_benchmark: 1380.1023, usercpu_time_millis: 9.757, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 9.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1330.7258, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2092, scimark_benchmark: 1382.4199, usercpu_time_millis: 11.022, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 10.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0844, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1373.1759, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1324.1178, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1525, scimark_benchmark: 1374.8435, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 733.1556, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7027, scimark_benchmark: 1374.4737, usercpu_time_millis: 3.73, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.2352, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1567, scimark_benchmark: 1375.7593, usercpu_time_millis: 10.006, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 9.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1013.3324, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4063, scimark_benchmark: 1373.109, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1258.4609, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2453, scimark_benchmark: 1378.4841, usercpu_time_millis: 6.711, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 6.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1331.2146, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.191, scimark_benchmark: 1381.3377, usercpu_time_millis: 9.447, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 9.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1122.9419, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3174, scimark_benchmark: 1375.5543, usercpu_time_millis: 6.372, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 5.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1137.1609, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3052, scimark_benchmark: 1377.8876, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1286.6352, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1668, scimark_benchmark: 1374.2056, usercpu_time_millis: 1.837, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1372.4647, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1191.4237, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2624, scimark_benchmark: 1376.3954, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1330.2721, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1514, scimark_benchmark: 1370.7835, usercpu_time_millis: 10.679, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 10.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1192.6795, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3158, scimark_benchmark: 1387.0282, usercpu_time_millis: 9.54, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 9.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1329.1175, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.1986, scimark_benchmark: 1380.5322, usercpu_time_millis: 12.995, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 12.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.9862, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1768, scimark_benchmark: 1372.13, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1237.0869, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2607, scimark_benchmark: 1382.1722, usercpu_time_millis: 7.684, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 7.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0899, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1369.2891, usercpu_time_millis: 0.755, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0037, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1374.6555, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1156.4846, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3296, scimark_benchmark: 1377.2066, usercpu_time_millis: 3.814, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9745, kappa: 0.9484, kb_relative_information_score: 1210.6819, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2974, scimark_benchmark: 1377.1553, usercpu_time_millis: 5.379, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 5.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0388, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1378.092, usercpu_time_millis: 2.022, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8924, kappa: 0.7815, kb_relative_information_score: 517.2962, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8986, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7245, scimark_benchmark: 1376.2937, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.856, kappa: 0.7097, kb_relative_information_score: 657.3029, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8578, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6743, scimark_benchmark: 1386.7461, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1064.9586, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3664, scimark_benchmark: 1372.5267, usercpu_time_millis: 6.49, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 5.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1308.8682, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1895, scimark_benchmark: 1387.3767, usercpu_time_millis: 1.046, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1288.2158, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1377.9664, usercpu_time_millis: 3.981, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9007, kappa: 0.7982, kb_relative_information_score: 649.8992, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9056, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6451, scimark_benchmark: 1373.7788, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 735.351, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6878, scimark_benchmark: 1375.6828, usercpu_time_millis: 2.678, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9408, kappa: 0.88, kb_relative_information_score: 1046.4274, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9412, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4445, scimark_benchmark: 1378.0959, usercpu_time_millis: 4.564, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 4.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9547, kappa: 0.9083, kb_relative_information_score: 1145.5615, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9549, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3646, scimark_benchmark: 1383.5698, usercpu_time_millis: 8.182, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 7.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1310.1437, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1578, scimark_benchmark: 1379.8446, usercpu_time_millis: 9.731, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 9.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1186.2074, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3235, scimark_benchmark: 1375.618, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0706, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1370.8052, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8632, kappa: 0.7237, kb_relative_information_score: 663.6143, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8641, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6668, scimark_benchmark: 1376.7716, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.1131, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1372.085, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1312.1345, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1371.0276, usercpu_time_millis: 12.821, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 12.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1304.9119, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1723, scimark_benchmark: 1370.0686, usercpu_time_millis: 10.815, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 10.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1226.4036, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2618, scimark_benchmark: 1372.3396, usercpu_time_millis: 5.822, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 5.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 990.7314, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4294, scimark_benchmark: 1369.1537, usercpu_time_millis: 4.913, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 4.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1306.6419, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.172, scimark_benchmark: 1372.1713, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8704, kappa: 0.7377, kb_relative_information_score: 742.1912, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8706, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6082, scimark_benchmark: 1372.1227, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0901, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1372.8607, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 899.8048, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9303, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5006, scimark_benchmark: 1373.9535, usercpu_time_millis: 0.507, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.5671, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5173, scimark_benchmark: 1747.4929, usercpu_time_millis: 6.226, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1323.2412, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1749, scimark_benchmark: 1728.8162, usercpu_time_millis: 5.085, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 4.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 1029.4275, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4298, scimark_benchmark: 1746.3974, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1258.0859, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.1935, scimark_benchmark: 1748.4638, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1290.4466, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2076, scimark_benchmark: 1747.1969, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8762, kappa: 0.7497, kb_relative_information_score: 670.069, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8765, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6451, scimark_benchmark: 1754.2741, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1233.3027, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2371, scimark_benchmark: 1750.9537, usercpu_time_millis: 4.948, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0715, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1743.4678, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 494.4106, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7362, scimark_benchmark: 1737.8969, usercpu_time_millis: 2.832, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1326.001, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1535, scimark_benchmark: 1757.1162, usercpu_time_millis: 6.925, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 6.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0794, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1754.6748, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9679, kappa: 0.9351, kb_relative_information_score: 1135.2721, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3537, scimark_benchmark: 1749.0406, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0298, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1735.4422, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 892.5858, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.4912, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.269, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1256.2048, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.258, scimark_benchmark: 1750.4475, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9134, kappa: 0.8241, kb_relative_information_score: 746.6049, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9164, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5926, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9142, kappa: 0.8258, kb_relative_information_score: 860.6814, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5361, scimark_benchmark: 1756.861, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9416, kappa: 0.8816, kb_relative_information_score: 1099.7522, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4084, scimark_benchmark: 1758.8539, usercpu_time_millis: 3.409, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1286.2559, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1952, scimark_benchmark: 1735.562, usercpu_time_millis: 1.832, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 761.5791, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5813, scimark_benchmark: 1740.3952, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1006.2258, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4158, scimark_benchmark: 1748.7675, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0014, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1922.2761, usercpu_time_millis: 1.066, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1196.6039, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.2935, scimark_benchmark: 1969.9638, usercpu_time_millis: 3.463, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1328.0021, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.1527, scimark_benchmark: 2022.8384, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1323.9982, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1741, scimark_benchmark: 1982.4562, usercpu_time_millis: 3.395, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 3.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1323.0887, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1795, scimark_benchmark: 1977.9403, usercpu_time_millis: 6.761, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 6.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1134.9089, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3362, scimark_benchmark: 2152.146, usercpu_time_millis: 4.104, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 656.8863, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8624, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6715, scimark_benchmark: 2167.2221, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9171, kappa: 0.8317, kb_relative_information_score: 776.8636, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5716, scimark_benchmark: 1850.6054, usercpu_time_millis: 1.52, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1323.8643, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1482, scimark_benchmark: 1909.6443, usercpu_time_millis: 10.392, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 9.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1102.157, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3385, scimark_benchmark: 1817.6135, usercpu_time_millis: 5.897, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 5.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1251.271, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2197, scimark_benchmark: 1815.9034, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8809, kappa: 0.7582, kb_relative_information_score: 364.1129, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8905, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8073, scimark_benchmark: 1818.1031, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 1.8969, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1912.8061, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0326, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1712.9429, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1237.1357, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2136, scimark_benchmark: 2027.2912, usercpu_time_millis: 4.797, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1050.6418, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4185, scimark_benchmark: 1985.7878, usercpu_time_millis: 3.818, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1135.69, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3069, scimark_benchmark: 1986.9427, usercpu_time_millis: 6.223, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 5.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1263.1274, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2316, scimark_benchmark: 1823.7019, usercpu_time_millis: 6.314, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 5.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1254.0255, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2756, scimark_benchmark: 1427.0389, usercpu_time_millis: 9.933, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 9.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1247.1894, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2028, scimark_benchmark: 1450.4304, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 990.1234, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4302, scimark_benchmark: 1459.3851, usercpu_time_millis: 2.808, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 937.1376, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5011, scimark_benchmark: 1448.509, usercpu_time_millis: 4.71, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 4.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1111.516, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3598, scimark_benchmark: 1387.9324, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1330.0397, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1828, scimark_benchmark: 1368.6888, usercpu_time_millis: 2.136, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1326.9044, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.1498, scimark_benchmark: 1380.5623, usercpu_time_millis: 9.501, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 8.949,

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