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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129575 Runs

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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: 0.7498, f_measure: 0.7381, kappa: 0.4328, kb_relative_information_score: 218.1084, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7477, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6691, kappa: 0.2824, kb_relative_information_score: 111.8354, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6785, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 325.6529, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9593, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
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: 0.4934, f_measure: 0.5213, kb_relative_information_score: -11.9095, mean_absolute_error: 0.4512, 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: 1.0011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7012, kappa: 0.343, kb_relative_information_score: 218.0062, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7045, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5213, kb_relative_information_score: -1.4293, mean_absolute_error: 0.4501, 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: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -12.6825, mean_absolute_error: 0.4466, 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: 0.9909, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.5184, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.6964, kappa: 0.3329, kb_relative_information_score: 139.856, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6999, predictive_accuracy: 0.6938, prior_entropy: 0.9279, recall: 0.6938, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6477, kappa: 0.2444, kb_relative_information_score: 82.0941, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6628, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6396, kappa: 0.1898, kb_relative_information_score: 18.6767, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6809, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7707, kappa: 0.5026, kb_relative_information_score: 233.4385, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7793, predictive_accuracy: 0.7671, prior_entropy: 0.9279, recall: 0.7671, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6379, kappa: 0.191, kb_relative_information_score: 80.203, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6357, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5379, kappa: -0.041, kb_relative_information_score: 2.6299, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6023, prior_entropy: 0.9279, recall: 0.6023, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.517, kappa: -0.0539, kb_relative_information_score: -10.3527, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5249, predictive_accuracy: 0.5108, prior_entropy: 0.9279, recall: 0.5108, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.5442, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.5184, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7424, kappa: 0.5096, kb_relative_information_score: 193.8423, mean_absolute_error: 0.2969, 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: 0.6588, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 597.0364, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0042, root_relative_squared_error: 0.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.3594, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5424, kappa: -0.0098, kb_relative_information_score: 3.9717, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5397, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0274,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 589.1033, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8737, kappa: 0.72, kb_relative_information_score: 424.6591, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8739, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: 77.2417, mean_absolute_error: 0.376, 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: 0.8343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 593.7355, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: 79.5578, mean_absolute_error: 0.3744, 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: 0.8306, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5213, kb_relative_information_score: 96.2788, mean_absolute_error: 0.37, 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: 0.8208, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.151,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.5184, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.5186, kappa: -0.02, kb_relative_information_score: -3.1464, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4677, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6401, kappa: 0.1823, kb_relative_information_score: 45.0135, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6365, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6424, kappa: 0.1857, kb_relative_information_score: 45.8438, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6431, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9775,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.772, kappa: 0.4907, kb_relative_information_score: 259.8613, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.771, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5735, kappa: 0.0716, kb_relative_information_score: 10.1763, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6465, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7082, kappa: 0.3355, kb_relative_information_score: 130.0996, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7191, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8862, kappa: 0.7459, kb_relative_information_score: 415.9294, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.886, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5892,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6891, kappa: 0.3017, kb_relative_information_score: 135.1611, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7625, predictive_accuracy: 0.7354, prior_entropy: 0.9279, recall: 0.7354, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.957, kappa: 0.9053, kb_relative_information_score: 537.9244, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9581, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6891, kappa: 0.3017, kb_relative_information_score: 135.1611, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7625, predictive_accuracy: 0.7354, prior_entropy: 0.9279, recall: 0.7354, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.686, kappa: 0.2951, kb_relative_information_score: 130.702, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6833, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7499, kappa: 0.4346, kb_relative_information_score: 209.589, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7501, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.6023, kappa: 0.1099, kb_relative_information_score: 16.8056, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6321, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.6332, kappa: 0.1679, kb_relative_information_score: 41.7521, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6472, predictive_accuracy: 0.6739, prior_entropy: 0.9279, recall: 0.6739, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6401, kappa: 0.1823, kb_relative_information_score: 45.0135, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6365, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6401, kappa: 0.1823, kb_relative_information_score: 45.0135, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6365, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7659, kappa: 0.4681, kb_relative_information_score: 233.176, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.773, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 590.8592, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1589,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7172, kappa: 0.3632, kb_relative_information_score: 173.0292, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7942, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8753, kappa: 0.7202, kb_relative_information_score: 405.6105, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8758, predictive_accuracy: 0.8769, prior_entropy: 0.9279, recall: 0.8769, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.6133, kappa: 0.1239, kb_relative_information_score: 24.3234, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6239, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8728, kappa: 0.712, kb_relative_information_score: 409.8261, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8799, predictive_accuracy: 0.8769, prior_entropy: 0.9279, recall: 0.8769, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs