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: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1269.9621, mean_absolute_error: 0.0443, 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: 0.0896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2035, scimark_benchmark: 1860.3388, usercpu_time_millis: 6.066, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 5.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.3821, mean_absolute_error: 0.143, 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: 0.2896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5178, scimark_benchmark: 1862.932, usercpu_time_millis: 7.261, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 6.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1195.3517, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.2947, scimark_benchmark: 1864.3739, usercpu_time_millis: 6.782, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 6.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1045.2892, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.386, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1250.576, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2424, scimark_benchmark: 1857.66, usercpu_time_millis: 6.725, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 6.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9759, kappa: 0.9513, kb_relative_information_score: 1209.7673, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3053, scimark_benchmark: 1855.0134, usercpu_time_millis: 9.184, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 8.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 1149.7221, mean_absolute_error: 0.0941, 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: 0.1906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.321, scimark_benchmark: 1868.1856, usercpu_time_millis: 2.197, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1261.6526, mean_absolute_error: 0.0488, 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: 0.0987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.1986, scimark_benchmark: 1841.752, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1211.8194, mean_absolute_error: 0.0658, 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: 0.1333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2959, scimark_benchmark: 1867.1999, usercpu_time_millis: 3.407, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 3.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1014.2106, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5109, scimark_benchmark: 1845.7234, usercpu_time_millis: 7.048, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 6.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1268.0207, mean_absolute_error: 0.0434, 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: 0.0879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.2349, scimark_benchmark: 1864.8321, usercpu_time_millis: 5.213, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 4.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1246.1216, mean_absolute_error: 0.0557, 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: 0.1127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2117, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0228, 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: 1862.0186, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0269, 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: 1848.7856, usercpu_time_millis: 1.763, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.047, 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: 1866.6776, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9186, kappa: 0.8346, kb_relative_information_score: 950.4003, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9213, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4916, scimark_benchmark: 1871.3742, usercpu_time_millis: 2.118, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1279.4136, mean_absolute_error: 0.0399, 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: 0.0809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.1963, scimark_benchmark: 1862.9991, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1243.7062, mean_absolute_error: 0.0542, 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: 0.1097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2461, scimark_benchmark: 1858.1823, usercpu_time_millis: 6.015, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 5.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1272.5302, mean_absolute_error: 0.0426, 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: 0.0862, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2149, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1250.9616, mean_absolute_error: 0.0534, 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: 0.1081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2104, scimark_benchmark: 1733.3606, usercpu_time_millis: 1.948, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9209, kappa: 0.8393, kb_relative_information_score: 980.8975, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9229, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5044, scimark_benchmark: 1857.66, usercpu_time_millis: 3.746, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0138, 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: 1865.879, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1318.4041, mean_absolute_error: 0.0218, 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: 0.0442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.1732, scimark_benchmark: 1861.8971, usercpu_time_millis: 11.019, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 10.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1233.4298, mean_absolute_error: 0.0608, 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: 0.1231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2293, scimark_benchmark: 1856.2526, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1195.9649, mean_absolute_error: 0.0771, 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: 0.156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2601, scimark_benchmark: 1861.3749, usercpu_time_millis: 2.957, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8855, kappa: 0.7676, kb_relative_information_score: 458.2832, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8934, predictive_accuracy: 0.887, prior_entropy: 0.9912, recall: 0.887, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7561, scimark_benchmark: 1868.5777, usercpu_time_millis: 0.789, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1204.8597, mean_absolute_error: 0.0709, 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: 0.1435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2798, scimark_benchmark: 1860.8554, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8784, kappa: 0.754, kb_relative_information_score: 610.7345, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8786, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6822, scimark_benchmark: 1857.4999, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8567, kappa: 0.7109, kb_relative_information_score: 660.3853, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8582, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6725, scimark_benchmark: 1860.4711, usercpu_time_millis: 1.841, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1255.2934, mean_absolute_error: 0.0516, 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: 0.1044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1852.0263, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 2.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1114.3333, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3364, scimark_benchmark: 1845.3295, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1049.0598, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.969, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3858, scimark_benchmark: 1861.3908, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 3.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1227.301, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.2833, scimark_benchmark: 1850.6792, usercpu_time_millis: 2.816, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9482, kappa: 0.8949, kb_relative_information_score: 1124.524, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9484, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3824, scimark_benchmark: 1863.275, usercpu_time_millis: 7.972, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 7.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8589, kappa: 0.7155, kb_relative_information_score: 608.4534, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8606, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6847, scimark_benchmark: 1864.2071, usercpu_time_millis: 1.589, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1297.1317, mean_absolute_error: 0.031, 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: 0.0628, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2084, scimark_benchmark: 1753.4826, usercpu_time_millis: 4.159, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 3.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1307.5449, mean_absolute_error: 0.027, 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: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1763, scimark_benchmark: 1741.6387, usercpu_time_millis: 10.717, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 9.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1239.6385, mean_absolute_error: 0.0567, 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: 0.1148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2393, scimark_benchmark: 1848.5969, usercpu_time_millis: 4.604, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 4.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1224.6293, mean_absolute_error: 0.0651, 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: 0.1318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2311, scimark_benchmark: 1859.2172, usercpu_time_millis: 2.544, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1145.1726, mean_absolute_error: 0.0938, 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: 0.1898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.343, scimark_benchmark: 1749.2121, usercpu_time_millis: 3.322, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 3.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1290.7522, mean_absolute_error: 0.035, 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: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1846, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.746, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 5.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1234.2672, mean_absolute_error: 0.0609, 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: 0.1232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2228, scimark_benchmark: 1852.0263, usercpu_time_millis: 4.756, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 4.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1168.5728, mean_absolute_error: 0.0889, 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: 0.18, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.2831, scimark_benchmark: 1759.5777, usercpu_time_millis: 1.627, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0671, 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: 1852.5429, usercpu_time_millis: 1.773, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.2174, 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: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1760.4993, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1135.6258, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3127, scimark_benchmark: 1868.1908, usercpu_time_millis: 6.581, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 5.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1036.406, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3914, scimark_benchmark: 1852.4008, usercpu_time_millis: 4.288, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 3.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1196.2049, mean_absolute_error: 0.0767, 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: 0.1554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.262, scimark_benchmark: 1850.6792, usercpu_time_millis: 2.229, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1269.9125, mean_absolute_error: 0.0438, 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: 0.0887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2111, scimark_benchmark: 1866.6776, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9511, kappa: 0.9008, kb_relative_information_score: 1120.4675, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3858, scimark_benchmark: 1841.6148, usercpu_time_millis: 1.641, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0437, 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: 1850.221, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1302.0435, mean_absolute_error: 0.0295, 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: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1846.6258, usercpu_time_millis: 2.199, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 2.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1269.5671, mean_absolute_error: 0.0422, 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: 0.0854, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2403, scimark_benchmark: 1864.8321, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9297, kappa: 0.8574, kb_relative_information_score: 1065.8435, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9311, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4363, scimark_benchmark: 1866.9963, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 5.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1316.9129, mean_absolute_error: 0.0207, 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: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2329, scimark_benchmark: 1864.3739, usercpu_time_millis: 0.652, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1263.126, mean_absolute_error: 0.048, 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: 0.0973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.1976, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1211.4645, mean_absolute_error: 0.071, 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: 0.1438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2407, scimark_benchmark: 1872.0299, usercpu_time_millis: 7.182, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 6.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1305.0027, mean_absolute_error: 0.028, 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: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1816, scimark_benchmark: 1856.1701, usercpu_time_millis: 7.118, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 6.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0361, 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: 1853.7786, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0661, 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: 1848.7762, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1301.2206, mean_absolute_error: 0.0301, 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: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1769, scimark_benchmark: 1863.9124, usercpu_time_millis: 5.782, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 5.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0855, 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: 1869.1029, usercpu_time_millis: 1.742, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8589, kappa: 0.7154, kb_relative_information_score: 656.2613, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8604, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.392, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9716, kappa: 0.9424, kb_relative_information_score: 1146.8132, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3399, scimark_benchmark: 1871.7311, usercpu_time_millis: 3.312, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 741.7046, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7093, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 869.7355, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9317, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5128, scimark_benchmark: 1865.3572, usercpu_time_millis: 3.727, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9365, kappa: 0.8713, kb_relative_information_score: 1096.9646, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9366, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4157, scimark_benchmark: 1872.8797, usercpu_time_millis: 4.421, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 4.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.1104, 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: 1868.7188, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.543,

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