Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
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0 likes - 1 downloads - 1 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 521.879, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.222, scimark_benchmark: 1809.0667, usercpu_time_millis: 4.596, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 3.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5213, kb_relative_information_score: -9.0258, mean_absolute_error: 0.4473, 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: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.003, scimark_benchmark: 1348.1351, usercpu_time_millis: 21.917, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 21.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1348.2905, usercpu_time_millis: 46.796, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 46.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.5213, kb_relative_information_score: -11.5178, mean_absolute_error: 0.4546, 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: 1.0086, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1349.9242, usercpu_time_millis: 7.346, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1321.1509, usercpu_time_millis: 7.926, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 7.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.5213, kb_relative_information_score: -41.4209, mean_absolute_error: 0.4672, 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: 1.0366, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0025, scimark_benchmark: 1345.2327, usercpu_time_millis: 12.093, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 11.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1300.2545, usercpu_time_millis: 12.444, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 12.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: -0.357, 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: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1330.879, usercpu_time_millis: 8.99, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 8.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.6911, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1361.7734, usercpu_time_millis: 23.124, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 23.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5624, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0083, scimark_benchmark: 1335.2892, usercpu_time_millis: 29.779, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 29.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1353.1595, usercpu_time_millis: 2.528, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 2.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.5133, kappa: -0.0328, kb_relative_information_score: 43.0155, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4282, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9461, scimark_benchmark: 1321.6572, usercpu_time_millis: 72.043, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 71.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1328.296, usercpu_time_millis: 16.805, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 16.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5149, kappa: -0.0263, kb_relative_information_score: -11.6399, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4289, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0051, scimark_benchmark: 1348.9481, usercpu_time_millis: 30.287, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 30.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1330.5513, usercpu_time_millis: 52.959, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 52.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5213, kb_relative_information_score: -65.6035, mean_absolute_error: 0.4777, 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: 1.0599, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0163, scimark_benchmark: 1333.7622, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1229, 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: 1318.4216, usercpu_time_millis: 32.106, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 32.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5149, kappa: -0.0263, kb_relative_information_score: -11.9596, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4289, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0049, scimark_benchmark: 1330.6549, usercpu_time_millis: 3.26, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 3.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5213, kb_relative_information_score: -14.1903, mean_absolute_error: 0.4561, 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: 1.0119, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1328.79, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.5213, kb_relative_information_score: -0.1383, mean_absolute_error: 0.4505, 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: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1328.4925, usercpu_time_millis: 12.832, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -9.8567, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0028, scimark_benchmark: 1311.0379, usercpu_time_millis: 27.526, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 27.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5247, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0084, scimark_benchmark: 1343.5118, usercpu_time_millis: 33.574, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 33.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7045, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0087, scimark_benchmark: 1351.0412, usercpu_time_millis: 21.925, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 21.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.6981, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1348.1858, usercpu_time_millis: 12.785, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1324.6747, usercpu_time_millis: 17.852, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 17.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5213, kb_relative_information_score: -14.4553, mean_absolute_error: 0.4562, 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: 1.0121, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1338.6293, usercpu_time_millis: 41.396, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 41.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1344.8354, usercpu_time_millis: 28.291, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 28.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.6367, mean_absolute_error: 0.4509, 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: 1.0005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1342.5316, usercpu_time_millis: 27.59, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 27.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8202, kappa: 0.591, kb_relative_information_score: 177.3351, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8371, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7992, scimark_benchmark: 1320.2603, usercpu_time_millis: 100.314, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 98.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -11.8115, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0055, scimark_benchmark: 1353.0274, usercpu_time_millis: 33.146, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 33.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5213, kb_relative_information_score: -8.1109, 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: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0017, scimark_benchmark: 1342.2153, usercpu_time_millis: 33.462, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 33.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5213, kb_relative_information_score: -0.0637, mean_absolute_error: 0.4433, 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: 0.9837, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9913, scimark_benchmark: 1326.5723, usercpu_time_millis: 62.408, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 61.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1316.4242, usercpu_time_millis: 6.087, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 6.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.3162, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0078, scimark_benchmark: 1321.5274, usercpu_time_millis: 25.284, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 25.273,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5213, kb_relative_information_score: -9.2971, mean_absolute_error: 0.4478, 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: 0.9934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1341.26, usercpu_time_millis: 6.347, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.337,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -59.7008, mean_absolute_error: 0.475, 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: 1.054, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0134, scimark_benchmark: 1341.4552, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.1787, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0074, scimark_benchmark: 1325.4715, usercpu_time_millis: 33.896, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 33.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1342.5708, usercpu_time_millis: 44.451, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 44.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -12.7698, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0059, scimark_benchmark: 1318.2193, usercpu_time_millis: 16.231, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 16.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, 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: 1338.021, usercpu_time_millis: 11.938, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 11.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2533, mean_absolute_error: 0.4505, 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: 1347.696, usercpu_time_millis: 33.571, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 33.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.087, 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: 1334.8946, usercpu_time_millis: 20.807, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 20.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, 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: 1331.2006, usercpu_time_millis: 33.933, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 33.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5213, kb_relative_information_score: -10.3031, mean_absolute_error: 0.4477, 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: 0.9933, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0024, scimark_benchmark: 1342.9323, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5235, kappa: -0.0003, kb_relative_information_score: 8.1424, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9839, scimark_benchmark: 1338.2974, usercpu_time_millis: 39.595, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 39.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5213, kb_relative_information_score: -26.6676, mean_absolute_error: 0.4611, 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: 1.023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0028, scimark_benchmark: 1333.2926, usercpu_time_millis: 19.129, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 18.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: -13.185, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0073, scimark_benchmark: 1315.2738, usercpu_time_millis: 24.812, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1345.1961, usercpu_time_millis: 14.093, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 14.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5213, kb_relative_information_score: -0.534, mean_absolute_error: 0.4504, 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: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1325.9741, usercpu_time_millis: 38.086, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 37.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1324.5594, usercpu_time_millis: 4.59, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 4.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5213, kb_relative_information_score: -12.0378, mean_absolute_error: 0.4492, 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: 0.9966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0017, scimark_benchmark: 1340.7082, usercpu_time_millis: 14.779, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5026, kappa: -0.0739, kb_relative_information_score: -13.6729, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.423, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1337.7405, usercpu_time_millis: 36.589, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 36.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 21.518, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9676, scimark_benchmark: 1349.2433, usercpu_time_millis: 80.384, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 79.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.5381, kappa: -0.0157, kb_relative_information_score: 54.8652, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5328, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9347, scimark_benchmark: 1344.8657, usercpu_time_millis: 65.712, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 64.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5213, kb_relative_information_score: -1.8988, mean_absolute_error: 0.4503, 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: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1335.7898, usercpu_time_millis: 5.674, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 5.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1337.3411, usercpu_time_millis: 10.383, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 10.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1353.7837, usercpu_time_millis: 11.949, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 11.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1350.4235, usercpu_time_millis: 24.163, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 24.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5213, kb_relative_information_score: -5.695, 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: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1346.7912, usercpu_time_millis: 25.298, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 25.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7082, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0087, scimark_benchmark: 1332.0085, usercpu_time_millis: 33.474, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 33.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1227, 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: 1310.8446, usercpu_time_millis: 34.048, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 34.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.217, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0077, scimark_benchmark: 1340.3855, usercpu_time_millis: 18.003, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 17.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.5213, kb_relative_information_score: -53.4745, mean_absolute_error: 0.4723, 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: 1.0479, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0098, scimark_benchmark: 1345.1085, usercpu_time_millis: 50.568, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 50.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5219, kappa: -0.0069, kb_relative_information_score: 5.6379, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4997, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9846, scimark_benchmark: 1347.1762, usercpu_time_millis: 51.013, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 50.597,

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