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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5213, kb_relative_information_score: -0.3667, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8444, kappa: 0.6505, kb_relative_information_score: 221.337, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.845, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7476, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.142, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 428.3664, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4076, scimark_benchmark: 1875.6591, usercpu_time_millis: 3.318, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.5213, kb_relative_information_score: 24.7961, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9658, scimark_benchmark: 1874.3338, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5213, kb_relative_information_score: 0.1545, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1878.2574, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 501.062, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2726, scimark_benchmark: 1871.9601, usercpu_time_millis: 7.444, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 6.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 441.7676, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3897, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.5213, kb_relative_information_score: -0.6427, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1871.3742, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 43.306, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9426, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5213, kb_relative_information_score: -0.1635, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8614, kappa: 0.6885, kb_relative_information_score: 258.7511, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8622, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6985, scimark_benchmark: 1870.557, usercpu_time_millis: 3.249, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 2.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: -0.375, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1873.019, usercpu_time_millis: 0.832, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.5213, kb_relative_information_score: -2.8873, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1873.9908, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.5319, kappa: 0.0157, kb_relative_information_score: 25.569, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9647, scimark_benchmark: 1875.3263, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5213, kb_relative_information_score: 4.0079, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9913, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9766, kappa: 0.9478, kb_relative_information_score: 351.5439, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5421, scimark_benchmark: 1867.6581, usercpu_time_millis: 4.597, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 3.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.5213, kb_relative_information_score: 36.3377, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.951, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.744, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5213, kb_relative_information_score: -0.28, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.5213, kb_relative_information_score: 39.0866, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.95, scimark_benchmark: 1875.2434, usercpu_time_millis: 0.546, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.5213, kb_relative_information_score: -2.7452, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9973, scimark_benchmark: 1871.8964, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.5213, kb_relative_information_score: 3.1136, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.993, scimark_benchmark: 1851.44, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1577, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.5213, kb_relative_information_score: 14.4598, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9788, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8589, kappa: 0.6788, kb_relative_information_score: 178.1945, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8905, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7884, scimark_benchmark: 1868.7112, usercpu_time_millis: 5.51, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 4.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1123, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.654, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -0.0629, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.266, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: -0.2965, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1867.1358, usercpu_time_millis: 1.297, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5213, kb_relative_information_score: -0.3226, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9297, kappa: 0.841, kb_relative_information_score: 249.4418, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9382, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6918, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.887, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 4.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9648, kappa: 0.9214, kb_relative_information_score: 327.3584, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5778, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.76, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 26.283, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9616, scimark_benchmark: 1863.9124, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.596, kappa: 0.1298, kb_relative_information_score: 70.4398, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7904, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9127, scimark_benchmark: 1890.5382, usercpu_time_millis: 1.933, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.5213, kb_relative_information_score: -0.2341, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.455, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8981, kappa: 0.769, kb_relative_information_score: 219.0901, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7332, scimark_benchmark: 1878.3273, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 41.4146, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9456, scimark_benchmark: 1934.8911, usercpu_time_millis: 2.584, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 2.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.5393, kappa: 0.0283, kb_relative_information_score: 46.2248, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7208, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9373, scimark_benchmark: 1893.3572, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.048,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7524, kappa: 0.4412, kb_relative_information_score: 122.2861, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8345, predictive_accuracy: 0.7854, prior_entropy: 0.9279, recall: 0.7854, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8531, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.985, kappa: 0.9667, kb_relative_information_score: 386.7863, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4791, scimark_benchmark: 1856.5458, usercpu_time_millis: 6.163, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 5.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5213, kb_relative_information_score: -0.2989, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1867.5281, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.5213, kb_relative_information_score: 39.2611, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9492, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.5927, kappa: 0.1238, kb_relative_information_score: 70.2472, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7896, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9126, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.009, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 2.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.596, kappa: 0.1298, kb_relative_information_score: 73.905, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7904, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9074, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7094, kappa: 0.3507, kb_relative_information_score: 107.5523, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8226, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8762, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8898, kappa: 0.7496, kb_relative_information_score: 204.0667, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9083, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7527, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.618, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 3.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.5213, kb_relative_information_score: 62.521, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9238, scimark_benchmark: 1870.2139, usercpu_time_millis: 2.603, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 2.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5213, kb_relative_information_score: -2.1161, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.997, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.002, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5213, kb_relative_information_score: -0.1538, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7419, kappa: 0.4191, kb_relative_information_score: 119.2613, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8344, predictive_accuracy: 0.7787, prior_entropy: 0.9279, recall: 0.7787, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8555, scimark_benchmark: 1858.5585, usercpu_time_millis: 3.654, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 3.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.5213, kb_relative_information_score: 42.178, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9457, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.612, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5213, kb_relative_information_score: 4.4408, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 357.4058, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5275, scimark_benchmark: 1847.6848, usercpu_time_millis: 6.305, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 5.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5213, kb_relative_information_score: -6.0837, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1872.8821, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8126, kappa: 0.5738, kb_relative_information_score: 147.9205, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8627, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8216, scimark_benchmark: 1870.8644, usercpu_time_millis: 3.4, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 2.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9527, kappa: 0.8936, kb_relative_information_score: 294.1913, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9555, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6278, scimark_benchmark: 1860.2646, usercpu_time_millis: 5.203, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 4.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.5981, kappa: 0.1324, kb_relative_information_score: 62.4779, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7759, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9223, scimark_benchmark: 1873.9908, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.5213, kb_relative_information_score: 4.2519, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9919, scimark_benchmark: 1874.977, usercpu_time_millis: 1.609, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.5213, kb_relative_information_score: 18.3148, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9737, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7702, kappa: 0.4801, kb_relative_information_score: 134.9714, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8459, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8404, scimark_benchmark: 1870.4545, usercpu_time_millis: 3.85, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, f_measure: 0.5213, kb_relative_information_score: -3.9129, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1871.8506, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6404, kappa: 0.2108, kb_relative_information_score: 78.2152, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7835, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9038, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 513.4711, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2461, scimark_benchmark: 1865.2544, usercpu_time_millis: 2.207, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.5213, kb_relative_information_score: 41.6695, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9457, scimark_benchmark: 1871.8323, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.708, kappa: 0.3472, kb_relative_information_score: 106.1639, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8167, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8672, scimark_benchmark: 1863.87, usercpu_time_millis: 4.243, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 3.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.5213, kb_relative_information_score: 44.8908, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9412, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.5213, kb_relative_information_score: -2.7491, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1137.1437, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.5213, kb_relative_information_score: 4.0392, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9916, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5213, kb_relative_information_score: 8.6165, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9865, scimark_benchmark: 1871.4425, usercpu_time_millis: 1.882, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.611,

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