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: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.1726, mean_absolute_error: 0.0197, 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: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1796, scimark_benchmark: 1930.025, usercpu_time_millis: 10.921, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 10.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1309.5372, mean_absolute_error: 0.0253, 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: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2029, scimark_benchmark: 1752.1591, usercpu_time_millis: 5.139, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 1039.5311, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3908, scimark_benchmark: 1772.5118, usercpu_time_millis: 6.235, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 5.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1003.1106, mean_absolute_error: 0.1437, 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: 0.291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5244, scimark_benchmark: 1756.2068, usercpu_time_millis: 3.549, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1231.6766, mean_absolute_error: 0.0607, 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: 0.1229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2424, scimark_benchmark: 1870.7643, usercpu_time_millis: 3.931, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 3.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 992.3514, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4275, scimark_benchmark: 1735.4752, usercpu_time_millis: 3.124, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1303.1216, mean_absolute_error: 0.0282, 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: 0.0571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2052, scimark_benchmark: 1728.2493, usercpu_time_millis: 3.994, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 3.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 758.1549, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6314, scimark_benchmark: 1738.1082, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1206.1992, mean_absolute_error: 0.0716, 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: 0.1449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2648, scimark_benchmark: 1870.1619, usercpu_time_millis: 4.382, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 4.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1312.1185, mean_absolute_error: 0.0248, 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: 0.0501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1756, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.48, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.57, mean_absolute_error: 0.03, 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: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2032, scimark_benchmark: 1872.9496, usercpu_time_millis: 7.106, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 6.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.5921, mean_absolute_error: 0.0293, 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: 0.0594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1788, scimark_benchmark: 1715.1121, usercpu_time_millis: 11.819, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 10.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 1070.7988, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3976, scimark_benchmark: 1735.9801, usercpu_time_millis: 1.882, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0601, 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: 1726.0902, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1307.3893, mean_absolute_error: 0.0269, 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: 0.0545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.179, scimark_benchmark: 791.4138, usercpu_time_millis: 8.13, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 7.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0454, 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: 1752.0016, usercpu_time_millis: 2.533, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 2.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1315.0143, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2117, scimark_benchmark: 1871.2001, usercpu_time_millis: 7.572, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 7.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 550.459, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8985, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7094, scimark_benchmark: 1785.6649, usercpu_time_millis: 2.407, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0726, 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: 1754.5726, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.1079, 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: 2026.7421, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1161.213, mean_absolute_error: 0.092, 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: 0.1863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.2888, scimark_benchmark: 1874.4489, usercpu_time_millis: 1.345, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9474, kappa: 0.8935, kb_relative_information_score: 1090.2869, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9476, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4047, scimark_benchmark: 1780.8968, usercpu_time_millis: 6.804, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 6.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1283.5669, mean_absolute_error: 0.0374, 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: 0.0757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1931.0729, usercpu_time_millis: 4.507, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 4.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8553, kappa: 0.7085, kb_relative_information_score: 792.7338, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8575, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.639, scimark_benchmark: 1739.3689, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1318.9615, mean_absolute_error: 0.019, 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: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2713, scimark_benchmark: 1873.8757, usercpu_time_millis: 0.546, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1211.0328, mean_absolute_error: 0.067, 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: 0.1357, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2846, scimark_benchmark: 1786.3015, usercpu_time_millis: 3.602, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 3.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1305.271, mean_absolute_error: 0.0282, 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: 0.057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1768, scimark_benchmark: 1784.6612, usercpu_time_millis: 3.568, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0287, 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: 1872.8797, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1135.202, mean_absolute_error: 0.103, 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: 0.2086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3094, scimark_benchmark: 790.2522, usercpu_time_millis: 6.931, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 6.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8899, kappa: 0.777, kb_relative_information_score: 860.5786, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.558, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.293, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 2.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 712.1949, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6553, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1164.0095, mean_absolute_error: 0.088, 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: 0.1782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3132, scimark_benchmark: 1787.9565, usercpu_time_millis: 6.414, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 5.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1239.8372, mean_absolute_error: 0.0573, 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: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2324, scimark_benchmark: 1782.5527, usercpu_time_millis: 7.11, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 6.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1269.5418, mean_absolute_error: 0.0446, 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: 0.0904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2007, scimark_benchmark: 2005.962, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9474, kappa: 0.8933, kb_relative_information_score: 1111.5365, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.948, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3962, scimark_benchmark: 1785.2744, usercpu_time_millis: 2.411, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 2.145,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9364, kappa: 0.8711, kb_relative_information_score: 1080.7467, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9369, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.429, scimark_benchmark: 1913.3889, usercpu_time_millis: 4.779, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1268.7041, mean_absolute_error: 0.0432, 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: 0.0875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323, scimark_benchmark: 1732.6201, usercpu_time_millis: 11.081, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 10.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1287.2059, mean_absolute_error: 0.0367, 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: 0.0742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1863, scimark_benchmark: 1719.9137, usercpu_time_millis: 4.878, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 4.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.3589, mean_absolute_error: 0.0223, 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: 0.0451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1737, scimark_benchmark: 1733.8168, usercpu_time_millis: 10.124, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 9.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0027, 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: 1783.8118, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1245.27, mean_absolute_error: 0.0559, 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: 0.1131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2149, scimark_benchmark: 1792.3024, usercpu_time_millis: 1.63, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1232.5975, mean_absolute_error: 0.0616, 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: 0.1247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.2243, scimark_benchmark: 1722.7572, usercpu_time_millis: 9.898, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 8.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 662.7008, mean_absolute_error: 0.2809, 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: 0.5688, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793, scimark_benchmark: 1786.1493, usercpu_time_millis: 2.287, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1303.085, mean_absolute_error: 0.0289, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1728.4637, usercpu_time_millis: 2.051, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8762, kappa: 0.7497, kb_relative_information_score: 618.7195, mean_absolute_error: 0.2989, 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: 0.6052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773, scimark_benchmark: 791.3196, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9116, kappa: 0.8206, kb_relative_information_score: 945.193, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9121, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5397, scimark_benchmark: 1760.9181, usercpu_time_millis: 4.769, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 4.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1281.6856, mean_absolute_error: 0.0377, 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: 0.0763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2213, scimark_benchmark: 1777.1918, usercpu_time_millis: 2.527, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 1037.176, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4315, scimark_benchmark: 1902.3339, usercpu_time_millis: 4.048, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1221.2562, mean_absolute_error: 0.0665, 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: 0.1346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2355, scimark_benchmark: 791.1719, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1111.9811, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3603, scimark_benchmark: 1766.5232, usercpu_time_millis: 7.558, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 6.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1301.7421, mean_absolute_error: 0.0298, 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: 0.0603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1792, scimark_benchmark: 1715.1205, usercpu_time_millis: 3.314, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0373, 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: 1733.0061, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 1060.8989, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4145, scimark_benchmark: 1763.9787, usercpu_time_millis: 5.763, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 5.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1277.6308, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2095, scimark_benchmark: 1785.2449, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1196.0764, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9834, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2846, scimark_benchmark: 791.4138, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9171, kappa: 0.8317, kb_relative_information_score: 974.4687, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9197, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5062, scimark_benchmark: 1743.2663, usercpu_time_millis: 6.029, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 5.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.586, mean_absolute_error: 0.0286, 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: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.2018, scimark_benchmark: 789.6492, usercpu_time_millis: 1.801, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 735.3951, mean_absolute_error: 0.2493, 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: 0.5047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6884, scimark_benchmark: 1715.4587, usercpu_time_millis: 2.228, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1279.1418, mean_absolute_error: 0.0394, 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: 0.0797, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.207, scimark_benchmark: 1912.4231, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8908, kappa: 0.7782, kb_relative_information_score: 512.7902, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8979, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7299, scimark_benchmark: 1765.1013, usercpu_time_millis: 2.017, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9269, kappa: 0.8517, kb_relative_information_score: 1047.5211, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9276, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4681, scimark_benchmark: 1916.8477, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9664, kappa: 0.9318, kb_relative_information_score: 1183.7887, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9669, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3288, scimark_benchmark: 1736.8107, usercpu_time_millis: 2.186, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1189.9773, mean_absolute_error: 0.0763, 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: 0.1546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.149, root_relative_squared_error: 0.2998, scimark_benchmark: 1854.1697, usercpu_time_millis: 3.187, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 2.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 1159.176, mean_absolute_error: 0.0891, 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: 0.1804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3223, scimark_benchmark: 1761.4683, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1131.6908, mean_absolute_error: 0.1032, 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: 0.2089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3217, scimark_benchmark: 1854.6465, usercpu_time_millis: 3.262, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9533, kappa: 0.9054, kb_relative_information_score: 1016.4271, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4401, scimark_benchmark: 1766.8905, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8568, kappa: 0.7112, kb_relative_information_score: 660.4018, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8586, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6762, scimark_benchmark: 1760.5297, usercpu_time_millis: 0.929, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1115.5193, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.365, scimark_benchmark: 1715.9228, usercpu_time_millis: 6.252, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 5.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8633, kappa: 0.724, kb_relative_information_score: 613.2908, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8645, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6824, scimark_benchmark: 1763.9295, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.93,

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