OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7424, kappa: 0.5096, kb_relative_information_score: 193.1605, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8518, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1194.2387, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072, scimark_benchmark: 1146.7081,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.6903, kappa: 0.2969, kb_relative_information_score: 108.3094, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6901, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8997, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.6903, kappa: 0.2969, kb_relative_information_score: 108.3094, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6901, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8997, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5757, kappa: 0.038, kb_relative_information_score: 64.1714, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5719, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9359, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.5589, kappa: 0.0053, kb_relative_information_score: 0.638, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5529, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0674, scimark_benchmark: 1416.417, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1377.4309, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1854.0453, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.5589, kappa: 0.0053, kb_relative_information_score: 0.638, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5529, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0674, scimark_benchmark: 1918.4916, usercpu_time_millis: 2296.875, usercpu_time_millis_training: 2296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7424, kappa: 0.5096, kb_relative_information_score: 194.2974, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8518, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133, scimark_benchmark: 1918.4916, usercpu_time_millis: 2187.5, usercpu_time_millis_training: 2187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1661.4798, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1387.493, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746, scimark_benchmark: 1684.6385, usercpu_time_millis: 15060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15020,
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: 942.7006, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7103, kappa: 0.3414, kb_relative_information_score: 190.9538, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7386, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8234, scimark_benchmark: 1637.132, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5075, kappa: -0.0551, kb_relative_information_score: -11.6671, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4254, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0073, scimark_benchmark: 901.458, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5213, kb_relative_information_score: -2.3895, mean_absolute_error: 0.4469, 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: 0.9916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.997, scimark_benchmark: 1379.3677, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1862.8608, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1697.6783, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.713, kappa: 0.3648, kb_relative_information_score: 156.6807, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7139, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8474, scimark_benchmark: 943.7305, usercpu_time_millis: 2670, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.5211, kappa: -0.0102, kb_relative_information_score: -36.1456, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4879, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 1.0337, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5496, kappa: 0.0018, kb_relative_information_score: 13.6448, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5511, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8298, kappa: 0.6164, kb_relative_information_score: 369.0723, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8314, predictive_accuracy: 0.8336, prior_entropy: 0.9279, recall: 0.8336, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5092, kappa: -0.0488, kb_relative_information_score: -13.4939, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4262, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -10.9094, mean_absolute_error: 0.4456, 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: 0.9886, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.2346, 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: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.529, kappa: -0.0402, kb_relative_information_score: -17.5101, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5105, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7233, kappa: 0.3937, kb_relative_information_score: 202.2056, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7277, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8213, kappa: 0.5992, kb_relative_information_score: 342.2307, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.821, predictive_accuracy: 0.8236, prior_entropy: 0.9279, recall: 0.8236, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7795, kappa: 0.5038, kb_relative_information_score: 203.7449, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.779, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.2346, 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: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: -13.0727, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4246, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7161, 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: 0.4788, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7635, kappa: 0.4624, kb_relative_information_score: 138.624, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8069, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4451, f_measure: 0.5213, kb_relative_information_score: -4.03, 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: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.2683, kappa: 0.0497, kb_relative_information_score: -249.3307, mean_absolute_error: 0.6106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7805, predictive_accuracy: 0.3894, prior_entropy: 0.9279, recall: 0.3894, relative_absolute_error: 1.3548, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7814, root_relative_squared_error: 1.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.5241, kappa: -0.0335, kb_relative_information_score: 86.0664, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5013, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5422, kappa: 0.0032, kb_relative_information_score: -45.5125, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5509, predictive_accuracy: 0.5358, prior_entropy: 0.9279, recall: 0.5358, relative_absolute_error: 1.03, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7015, kappa: 0.3505, kb_relative_information_score: 179.1508, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7092, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5394, kappa: -0.0127, kb_relative_information_score: -45.5125, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5437, predictive_accuracy: 0.5358, prior_entropy: 0.9279, recall: 0.5358, relative_absolute_error: 1.03, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.562, kappa: 0.0361, kb_relative_information_score: 126.4462, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5871, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7518, kappa: 0.4581, kb_relative_information_score: 121.0248, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7575, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.6484, 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: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5213, kb_relative_information_score: 0.3707, 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: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 560.3444, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9695, predictive_accuracy: 0.9684, prior_entropy: 0.9279, recall: 0.9684, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5432, kappa: -0.0034, kb_relative_information_score: 22.3051, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5458, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6311, kappa: 0.1825, kb_relative_information_score: 57.9308, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7148, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9752, kappa: 0.9454, kb_relative_information_score: 568.1051, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9764, predictive_accuracy: 0.975, prior_entropy: 0.9279, recall: 0.975, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6202, kappa: 0.1382, kb_relative_information_score: 49.6573, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6145, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5159, kappa: -0.0614, kb_relative_information_score: -8.6564, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4798, predictive_accuracy: 0.6156, prior_entropy: 0.9279, recall: 0.6156, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0216,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.5213, kb_relative_information_score: -1.9335, 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: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4669, f_measure: 0.5213, kb_relative_information_score: 0.8478, mean_absolute_error: 0.4498, 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: 0.998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5416, kappa: -0.0291, kb_relative_information_score: -10.7908, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5287, predictive_accuracy: 0.6106, prior_entropy: 0.9279, recall: 0.6106, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.6982, kappa: 0.3259, kb_relative_information_score: 121.583, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6966, predictive_accuracy: 0.7005, prior_entropy: 0.9279, recall: 0.7005, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -10.231, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 118.9318, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5213, kb_relative_information_score: 2.2153, mean_absolute_error: 0.4373, 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: 0.9703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8212, kappa: 0.5929, kb_relative_information_score: 131.1659, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8483, predictive_accuracy: 0.8336, prior_entropy: 0.9279, recall: 0.8336, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.699, kappa: 0.3238, kb_relative_information_score: 94.8448, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6966, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.722, kappa: 0.3826, kb_relative_information_score: 152.3489, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7218, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4442, kappa: -0.2646, kb_relative_information_score: -75.7725, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4203, predictive_accuracy: 0.4759, prior_entropy: 0.9279, recall: 0.4759, relative_absolute_error: 1.0683, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5934, root_relative_squared_error: 1.2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5092, kappa: -0.0488, kb_relative_information_score: -13.4939, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4262, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0095,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8539, kappa: 0.6765, kb_relative_information_score: 392.9958, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8543, predictive_accuracy: 0.8536, prior_entropy: 0.9279, recall: 0.8536, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7403,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -24.3689, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5103, kappa: -0.052, kb_relative_information_score: -15.5776, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4438, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7099, kappa: 0.3633, kb_relative_information_score: 196.6708, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7138, predictive_accuracy: 0.7072, prior_entropy: 0.9279, recall: 0.7072, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7724, kappa: 0.4873, kb_relative_information_score: 207.4591, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7719, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7865,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7546, kappa: 0.4463, kb_relative_information_score: 133.3103, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.754, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.5213, kb_relative_information_score: -3.8082, 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: 0.4716, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
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,
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,
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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, 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: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.5213, kb_relative_information_score: -24.0337, mean_absolute_error: 0.4597, 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: 1.0199, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7187, kappa: 0.3849, kb_relative_information_score: 174.746, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7241, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0163,
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,

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