Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261555 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8475, kappa: 0.6526, kb_relative_information_score: 326.5608, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8817, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6558,
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: 0.5201, f_measure: 0.5213, kb_relative_information_score: -6.7453, mean_absolute_error: 0.4476, 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: 0.9932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0076,
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: 0.4701, f_measure: 0.5256, kappa: -0.0336, kb_relative_information_score: -9.1583, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5052, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.0132,
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: 0.5039, f_measure: 0.5172, kappa: -0.0902, kb_relative_information_score: -42.8099, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4917, predictive_accuracy: 0.5807, prior_entropy: 0.9279, recall: 0.5807, relative_absolute_error: 1.0378, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0529,
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: 0.8534, 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: 0.5398, f_measure: 0.4385, kappa: -0.2785, kb_relative_information_score: -25.335, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4039, predictive_accuracy: 0.4842, prior_entropy: 0.9279, recall: 0.4842, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0334,
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: 0.5, 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: 0.5283, f_measure: 0.5113, kappa: -0.1093, kb_relative_information_score: 8.0989, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4866, predictive_accuracy: 0.5641, prior_entropy: 0.9279, recall: 0.5641, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5084, kappa: -0.052, kb_relative_information_score: -11.3118, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4258, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.006,
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: 0.6772, 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: 0.5324, f_measure: 0.5213, kb_relative_information_score: -0.2283, mean_absolute_error: 0.4499, 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: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984,
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: 0.521, f_measure: 0.5172, kappa: -0.0902, kb_relative_information_score: 6.2113, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4917, predictive_accuracy: 0.5807, prior_entropy: 0.9279, recall: 0.5807, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1225, 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: 0.6632, f_measure: 0.5349, kappa: 0.0049, kb_relative_information_score: 31.3565, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5611, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.5915, kappa: 0.108, kb_relative_information_score: 85.3797, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9051,
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: 0.5446, 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: 0.5549, 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: 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: 0.809, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862,
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: 0.5489, 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: 0.5, 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: 0.5446, 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: 0.5549, 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: 0.9934, kappa: 0.9853, kb_relative_information_score: 491.4453, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2878, scimark_benchmark: 1741.237, usercpu_time_millis: 7.727, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 7.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 511.6534, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9279, recall: 0.9983, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2472, scimark_benchmark: 1741.1944, usercpu_time_millis: 6.2, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 5.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9525, kappa: 0.8931, kb_relative_information_score: 276.0146, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9565, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6535, scimark_benchmark: 1742.9568, usercpu_time_millis: 5.383, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 4.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.7331, kappa: 0.4, kb_relative_information_score: 123.6422, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8265, predictive_accuracy: 0.772, prior_entropy: 0.9279, recall: 0.772, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8516, scimark_benchmark: 1746.226, usercpu_time_millis: 3.691, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 3.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9228, kappa: 0.8255, kb_relative_information_score: 249.619, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.931, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6924, scimark_benchmark: 1747.6591, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 2.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.5927, kappa: 0.1238, kb_relative_information_score: 69.1068, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7896, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9115, scimark_benchmark: 1743.5289, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7119, kappa: 0.3561, kb_relative_information_score: 109.8247, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8235, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8673, scimark_benchmark: 1732.8913, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5213, kb_relative_information_score: -4.7948, mean_absolute_error: 0.4499, 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: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0029, scimark_benchmark: 1739.3756, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8812, kappa: 0.7301, kb_relative_information_score: 221.4848, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8982, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7318, scimark_benchmark: 1744.7906, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5213, kb_relative_information_score: -3.1588, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1739.3756, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.167,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9422, kappa: 0.8699, kb_relative_information_score: 293.4042, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9466, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6309, scimark_benchmark: 741.4477, usercpu_time_millis: 3.24, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.5213, kb_relative_information_score: 12.273, mean_absolute_error: 0.4409, 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: 0.9783, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9818, scimark_benchmark: 739.2287, usercpu_time_millis: 2.892, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.5213, kb_relative_information_score: -3.5027, mean_absolute_error: 0.4486, 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: 0.9953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9975, scimark_benchmark: 739.3227, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9403, kappa: 0.8653, kb_relative_information_score: 258.9614, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9465, predictive_accuracy: 0.9418, prior_entropy: 0.9279, recall: 0.9418, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6783, scimark_benchmark: 1833.1111, usercpu_time_millis: 5.826, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 5.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9648, kappa: 0.9213, kb_relative_information_score: 311.4051, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9655, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.6003, scimark_benchmark: 1821.3081, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 4.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5213, kb_relative_information_score: -2.0999, mean_absolute_error: 0.4485, 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: 0.995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9971, scimark_benchmark: 740.7594, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8979, kappa: 0.7684, kb_relative_information_score: 238.4163, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9101, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7087, scimark_benchmark: 1733.4719, usercpu_time_millis: 5.999, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 5.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 407.7394, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4485, scimark_benchmark: 1821.4003, usercpu_time_millis: 3.233, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.5213, kb_relative_information_score: 37.4175, mean_absolute_error: 0.4253, 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: 0.9435, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9506, scimark_benchmark: 1834.8344, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.5213, kb_relative_information_score: -3.3965, mean_absolute_error: 0.4493, 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: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1812.6156, usercpu_time_millis: 1.3, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.5826, kappa: 0.1057, kb_relative_information_score: 77.043, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7873, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9041, scimark_benchmark: 1798.051, usercpu_time_millis: 3.134, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7175, kappa: 0.3649, kb_relative_information_score: 98.7538, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8023, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8813, scimark_benchmark: 1802.6826, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.5724, kappa: 0.0875, kb_relative_information_score: 58.052, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.785, predictive_accuracy: 0.6805, prior_entropy: 0.9279, recall: 0.6805, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9267, scimark_benchmark: 1795.7622, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9122, kappa: 0.8013, kb_relative_information_score: 243.8849, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9219, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7006, scimark_benchmark: 1744.7906, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5213, kb_relative_information_score: -1.7098, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9957, scimark_benchmark: 1796.3696, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2533, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1799.7931, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1617, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1738.0527, usercpu_time_millis: 1.16, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9664, kappa: 0.9247, kb_relative_information_score: 329.0629, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5781, scimark_benchmark: 759.1405, usercpu_time_millis: 11.328, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 10.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 473.8585, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3251, scimark_benchmark: 759.7717, usercpu_time_millis: 7.949, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 7.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9767, kappa: 0.9482, kb_relative_information_score: 422.5003, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4251, scimark_benchmark: 760.2212, usercpu_time_millis: 5.718, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 5.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.5466, kappa: 0.0408, kb_relative_information_score: 56.1919, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7366, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9248, scimark_benchmark: 760.9959, usercpu_time_millis: 5.078, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 4.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.881, kappa: 0.7305, kb_relative_information_score: 224.5135, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.89, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7282, scimark_benchmark: 761.02, usercpu_time_millis: 5.85, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 5.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8858, kappa: 0.7404, kb_relative_information_score: 214.5056, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9071, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.742, scimark_benchmark: 757.1779, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.853, kappa: 0.6653, kb_relative_information_score: 199.5213, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.887, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7605, scimark_benchmark: 1768.0204, usercpu_time_millis: 3.989, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 3.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5213, kb_relative_information_score: -0.6518, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9979, scimark_benchmark: 759.6946, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 1.604,

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