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Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.889, kappa: 0.7806, kb_relative_information_score: 291.4618, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.91, predictive_accuracy: 0.8903, prior_entropy: 1, recall: 0.8903, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6334, scimark_benchmark: 1986.9908, usercpu_time_millis: 1.441, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 432.9477, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.175, root_relative_squared_error: 0.35, scimark_benchmark: 1873.5368, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 152.8915, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8345, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 475.1236, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2708, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 181.879, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7552, scimark_benchmark: 1868.7188, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 89.5314, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8869, scimark_benchmark: 2155.5089, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 120.2198, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8534, scimark_benchmark: 1874.8564, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0095, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 139.7477, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.843, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 246.5161, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7084, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.364, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7224, kappa: 0.4784, kb_relative_information_score: 55.0218, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8159, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317, scimark_benchmark: 2161.0093, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 342.6805, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5105, scimark_benchmark: 1804.6033, usercpu_time_millis: 3.013, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9838, kappa: 0.9676, kb_relative_information_score: 328.7187, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9843, predictive_accuracy: 0.9838, prior_entropy: 1, recall: 0.9838, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5354, scimark_benchmark: 1803.6965, usercpu_time_millis: 3.461, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 3.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 372.7867, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4911, scimark_benchmark: 1855.1368, usercpu_time_millis: 1.396, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0127, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.4553, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8927, kappa: 0.7878, kb_relative_information_score: 169.5684, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9125, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.774, scimark_benchmark: 1821.1869, usercpu_time_millis: 1.47, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 368.5811, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1826.161, usercpu_time_millis: 2.102, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 295.776, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9696, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5901, scimark_benchmark: 1807.2341, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 535.5865, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1175, scimark_benchmark: 1825.1266, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.6473, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2116, scimark_benchmark: 1812.2511, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8569, kappa: 0.7194, kb_relative_information_score: 160.0494, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8904, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7883, scimark_benchmark: 1801.383, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 456.5759, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3137, scimark_benchmark: 1832.0321, usercpu_time_millis: 2.652, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 2.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 205.9372, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7799, scimark_benchmark: 1817.6852, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 319.6437, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5516, scimark_benchmark: 1809.6418, usercpu_time_millis: 3.702, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 3.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 504.4614, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1853, scimark_benchmark: 1818.827, usercpu_time_millis: 3.734, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 509.3094, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.1611, scimark_benchmark: 1800.206, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 460.3745, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.2888, scimark_benchmark: 1845.3622, usercpu_time_millis: 1.192, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 230.0367, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481, scimark_benchmark: 1767.5661, usercpu_time_millis: 1.063, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 417.9989, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3857, scimark_benchmark: 1923.7262, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9549, kappa: 0.9101, kb_relative_information_score: 334.2945, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9587, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.551, scimark_benchmark: 1820.9494, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 352.6962, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5074, scimark_benchmark: 1868.7055, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.4485, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2169, scimark_benchmark: 1894.2221, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.182,
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: 0.4986, f_measure: 0.5, kb_relative_information_score: -0.0042, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1864.3579, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 449.0856, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3148, scimark_benchmark: 1878.8301, usercpu_time_millis: 2.745, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 373.8635, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4482, scimark_benchmark: 1803.0177, usercpu_time_millis: 1.844, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 398.7707, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4302, scimark_benchmark: 1806.5772, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0141, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1886.4389, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.432,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0123, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.573, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 405.732, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4008, scimark_benchmark: 1863.2338, usercpu_time_millis: 0.611, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9295, kappa: 0.8597, kb_relative_information_score: 324.0918, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9385, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5779, scimark_benchmark: 2015.7724, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4929, kappa: -0.0036, kb_relative_information_score: -0.0038, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1852.7683, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.8982, kappa: 0.7986, kb_relative_information_score: 178.0848, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9162, predictive_accuracy: 0.8993, prior_entropy: 1, recall: 0.8993, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7615, scimark_benchmark: 2009.6308, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.742, kappa: 0.5144, kb_relative_information_score: 106.5003, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8366, predictive_accuracy: 0.7572, prior_entropy: 1, recall: 0.7572, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8639, scimark_benchmark: 1846.2268, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 382.1832, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4593, scimark_benchmark: 1859.3711, usercpu_time_millis: 0.794, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9277, kappa: 0.8561, kb_relative_information_score: 268.7414, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9371, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6392, scimark_benchmark: 1847.5387, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1851.8612, usercpu_time_millis: 0.907, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 420.6947, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3777, scimark_benchmark: 1845.9861, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 430.7036, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3497, scimark_benchmark: 1853.048, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 211.2254, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7699, scimark_benchmark: 1854.2898, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0129, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1842.3616, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.1192, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2509, scimark_benchmark: 1779.1384, usercpu_time_millis: 3.481, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.7981, kappa: 0.6115, kb_relative_information_score: 205.2755, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8601, predictive_accuracy: 0.8058, prior_entropy: 1, recall: 0.8058, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7366, scimark_benchmark: 1861.4992, usercpu_time_millis: 3.59, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 3.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 446.7736, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3185, scimark_benchmark: 1846.9511, usercpu_time_millis: 3.288, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 2.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 403.9386, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4088, scimark_benchmark: 1848.5083, usercpu_time_millis: 2.137, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 502.346, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.1903, scimark_benchmark: 1842.3073, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8833, kappa: 0.7698, kb_relative_information_score: 240.787, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9064, predictive_accuracy: 0.8849, prior_entropy: 1, recall: 0.8849, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6833, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.196, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 141.7628, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8415, scimark_benchmark: 1793.4251, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 177.9535, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7613, scimark_benchmark: 1855.3202, usercpu_time_millis: 3.608, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 3.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 422.4302, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3746, scimark_benchmark: 1747.5261, usercpu_time_millis: 2.423, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 2.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 96.3537, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8781, scimark_benchmark: 1856.8773, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 200.0377, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1726.0318, usercpu_time_millis: 1.884, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 169.8141, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7732, scimark_benchmark: 1856.2927, usercpu_time_millis: 0.741, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 425.1072, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3702, scimark_benchmark: 1845.9861, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.8796, kappa: 0.7626, kb_relative_information_score: 289.6724, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9041, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6358, scimark_benchmark: 1728.6281, usercpu_time_millis: 2.412, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 2.058,

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

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From your own software

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

OpenML APIs