OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9298, kappa: 0.8574, kb_relative_information_score: 1029.6735, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9309, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4661, scimark_benchmark: 1430.8391, usercpu_time_millis: 6.62, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 6.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1229.8188, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2192, scimark_benchmark: 1321.752, usercpu_time_millis: 4.77, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1248.4959, mean_absolute_error: 0.0529, 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: 0.1071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2339, scimark_benchmark: 1409.6366, usercpu_time_millis: 6.15, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 5.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9526, kappa: 0.904, kb_relative_information_score: 1089.7084, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.402, scimark_benchmark: 1378.416, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1326.8309, mean_absolute_error: 0.0192, 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: 0.0388, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1439, scimark_benchmark: 1496.3253, usercpu_time_millis: 9.43, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 8.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.0257, 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: 1366.7268, usercpu_time_millis: 2.21, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1245.2702, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2601, scimark_benchmark: 1367.9528, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1306.7145, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1728, scimark_benchmark: 1354.363, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1226.4754, mean_absolute_error: 0.0623, 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: 0.1262, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2555, scimark_benchmark: 1402.8801, usercpu_time_millis: 7.07, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 6.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1254.7139, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2489, scimark_benchmark: 1381.5964, usercpu_time_millis: 1.02, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1314.8091, mean_absolute_error: 0.0248, 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: 0.0501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1522, scimark_benchmark: 1410.6313, usercpu_time_millis: 5.11, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 4.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 993.0983, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.425, scimark_benchmark: 1387.4598, usercpu_time_millis: 5.17, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0176, 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: 1464.8936, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1330.8726, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831, scimark_benchmark: 1379.0252, usercpu_time_millis: 12.63, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 12.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1289.9032, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.179, scimark_benchmark: 1404.9061, usercpu_time_millis: 3.83, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 909.3136, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4832, scimark_benchmark: 1364.4055, usercpu_time_millis: 3.87, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1329.8993, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1857, scimark_benchmark: 1368.6099, usercpu_time_millis: 7.76, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0442, 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: 1490.4094, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1322.1939, mean_absolute_error: 0.0211, 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: 0.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1555, scimark_benchmark: 1429.9502, usercpu_time_millis: 4.73, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 4.48,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1072.9462, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3573, scimark_benchmark: 1373.6646, usercpu_time_millis: 5.45, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1312.8221, mean_absolute_error: 0.0252, 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: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1645, scimark_benchmark: 1395.134, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1077.5374, mean_absolute_error: 0.1265, 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: 0.2562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.357, scimark_benchmark: 1434.491, usercpu_time_millis: 3.97, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0282, 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: 1427.7137, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.013, 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: 1426.7291, usercpu_time_millis: 1.4, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.3923, 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: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1425.0535, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1323.5245, mean_absolute_error: 0.0204, 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: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1556, scimark_benchmark: 1464.4731, usercpu_time_millis: 8.96, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 8.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1312.9842, mean_absolute_error: 0.0245, 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: 0.0496, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1825, scimark_benchmark: 1442.0661, usercpu_time_millis: 10.68, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 10.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9759, kappa: 0.9513, kb_relative_information_score: 1220.228, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2867, scimark_benchmark: 1412.3495, usercpu_time_millis: 3.48, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 3.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8973, kappa: 0.792, kb_relative_information_score: 859.0949, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8973, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5579, scimark_benchmark: 1403.7965, usercpu_time_millis: 3.6, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9106, kappa: 0.8185, kb_relative_information_score: 927.6368, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9124, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.53, scimark_benchmark: 1440.2813, usercpu_time_millis: 3.47, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1319.0759, mean_absolute_error: 0.0216, 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: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802, scimark_benchmark: 1462.5887, usercpu_time_millis: 7.36, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 7.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1263.0173, mean_absolute_error: 0.0453, 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: 0.0918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2386, scimark_benchmark: 1399.2027, usercpu_time_millis: 5.41, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 5.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1231.1516, mean_absolute_error: 0.0604, 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: 0.1222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2506, scimark_benchmark: 1405.235, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1228.5524, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3082, scimark_benchmark: 1402.0826, usercpu_time_millis: 11.14, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 10.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1003.1104, mean_absolute_error: 0.1438, 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: 0.2912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5228, scimark_benchmark: 1387.7377, usercpu_time_millis: 8.28, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 7.81,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9086, kappa: 0.8146, kb_relative_information_score: 1014.3639, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9093, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5352, scimark_benchmark: 1353.4156, usercpu_time_millis: 6.27, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 5.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1317.6213, mean_absolute_error: 0.0221, 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: 0.0448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1847, scimark_benchmark: 1418.4075, usercpu_time_millis: 2.48, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 745.9494, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5894, scimark_benchmark: 1362.834, usercpu_time_millis: 3.82, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1092.4596, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3414, scimark_benchmark: 1394.1573, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8969, kappa: 0.7906, kb_relative_information_score: 622.6116, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9023, predictive_accuracy: 0.898, prior_entropy: 0.9912, recall: 0.898, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6612, scimark_benchmark: 1435.9907, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1267.3168, mean_absolute_error: 0.0436, 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: 0.0882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2352, scimark_benchmark: 1408.2337, usercpu_time_millis: 11.08, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 10.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1295.4761, mean_absolute_error: 0.0333, 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: 0.0674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1743, scimark_benchmark: 1374.5241, usercpu_time_millis: 6.91, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 6.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.9482, 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: 0.0486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1823, scimark_benchmark: 1430.2263, usercpu_time_millis: 7.01, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 6.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 936.481, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4683, scimark_benchmark: 1370.493, usercpu_time_millis: 3.04, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1330.291, mean_absolute_error: 0.0173, 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: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1569, scimark_benchmark: 1452.5035, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8473, kappa: 0.6921, kb_relative_information_score: 733.3269, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8491, predictive_accuracy: 0.8469, prior_entropy: 0.9912, recall: 0.8469, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6917, scimark_benchmark: 1358.7502, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1234.5863, mean_absolute_error: 0.0613, 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: 0.1242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2143, scimark_benchmark: 1416.5155, usercpu_time_millis: 6.83, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 6.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1107.3579, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3617, scimark_benchmark: 1395.8881, usercpu_time_millis: 4.58, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1284.3644, mean_absolute_error: 0.0388, 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: 0.0786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1403.521, usercpu_time_millis: 0.77, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1302.1854, mean_absolute_error: 0.0292, 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: 0.0591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.195, scimark_benchmark: 1343.3949, usercpu_time_millis: 3.19, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9131, kappa: 0.8239, kb_relative_information_score: 936.7339, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5363, scimark_benchmark: 1369.4928, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0739, 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: 1348.5837, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1268.7876, mean_absolute_error: 0.0462, 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: 0.0936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1853.321, usercpu_time_millis: 7.875, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 7.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.6096, mean_absolute_error: 0.0293, 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: 0.0592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1982, scimark_benchmark: 1843.1402, usercpu_time_millis: 7.411, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 7.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1251.3167, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2004, scimark_benchmark: 1871.2001, usercpu_time_millis: 8.775, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 8.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1286.7141, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.212, scimark_benchmark: 1875.5079, usercpu_time_millis: 6.075, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 5.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1271.027, mean_absolute_error: 0.0427, 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: 0.0866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214, scimark_benchmark: 1869.8223, usercpu_time_millis: 6.268, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 5.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1289.3755, mean_absolute_error: 0.0341, 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: 0.069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.218, scimark_benchmark: 1866.5348, usercpu_time_millis: 6.395, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 6.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1145.9323, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3413, scimark_benchmark: 1855.7107, usercpu_time_millis: 5.015, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1294.3851, mean_absolute_error: 0.0332, 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: 0.0672, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1857, scimark_benchmark: 1856.8635, usercpu_time_millis: 2.996, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9541, kappa: 0.9069, kb_relative_information_score: 1026.1257, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4331, scimark_benchmark: 1871.2001, usercpu_time_millis: 2.657, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1164.3095, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3062, scimark_benchmark: 1873.5991, usercpu_time_millis: 3.083, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9364, kappa: 0.8709, kb_relative_information_score: 982.3749, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9373, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4637, scimark_benchmark: 1843.8403, usercpu_time_millis: 2.341, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0282, 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: 1853.1295, usercpu_time_millis: 1.3, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1232.876, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2786, scimark_benchmark: 1840.7014, usercpu_time_millis: 3.507, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 3.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1204.8321, mean_absolute_error: 0.074, 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: 0.1499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2446, scimark_benchmark: 1852.2224, usercpu_time_millis: 1.818, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0169, 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: 1855.7107, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1142.2507, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3332, scimark_benchmark: 1853.5818, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.86,

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