Task
Supervised Classification on rabe_148

Supervised Classification on rabe_148

Task 3757 Supervised Classification rabe_148 533 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 46.9698, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.8788, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 53.7003, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 43.2266, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 51.3157, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 54.4728, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.9902, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.6193, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 55.8659, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 56.468, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.3551, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 57.9982, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.095, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.8949, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.2863, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.8689, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 53.5766, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.8689, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.1634, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 57.2035, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 49.4516, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.1408, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.9498, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 58.9498, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 54.3452, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.2569, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.959, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.5822, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.5324, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.5632, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.449, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -0.0896, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 55.8297, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7567, kappa: 0.5152, kb_relative_information_score: 34, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.7614, predictive_accuracy: 0.7576, prior_entropy: 1, recall: 0.7576, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 55.8584, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5168, scimark_benchmark: 1388.3448, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7567, kappa: 0.5152, kb_relative_information_score: 34, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.7614, predictive_accuracy: 0.7576, prior_entropy: 1, recall: 0.7576, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847, scimark_benchmark: 1338.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4727, kappa: -0.0303, kb_relative_information_score: -2, mean_absolute_error: 0.5152, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.4833, predictive_accuracy: 0.4848, prior_entropy: 1, recall: 0.4848, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7177, root_relative_squared_error: 1.4355, scimark_benchmark: 1380.7299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264, scimark_benchmark: 1681.8377, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1472.9015, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.0021, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4394, scimark_benchmark: 1908.2191, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.3122, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4303, scimark_benchmark: 1360.781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 56.2065, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3774, scimark_benchmark: 1060.9535, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383, scimark_benchmark: 1418.0877, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1675, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4134, scimark_benchmark: 1263.1848, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.9114, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4265, scimark_benchmark: 1385.6587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.5778, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4207, scimark_benchmark: 1333.2074, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 1302.0038, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 56.0621, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4951, scimark_benchmark: 565.3298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 56.5417, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4261, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.8118, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3368, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.6193, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4414, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.0314, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9583, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.383, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1672, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4134, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.9114, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4265, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.5778, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4207, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 56.4792, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.4945, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 56.5417, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4261, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 57.5481, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3389, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56.6193, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4414, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.7712, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4955, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.9114, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4265, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 54.4728, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5454, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 57.1839, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.413, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.2921, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4714, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 59.941, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4055, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 55.8396, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4845, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 56.7802, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4299, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58.0499, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4871, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 58, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4924, scimark_benchmark: 1447.6795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 54.4728, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5454, scimark_benchmark: 894.7584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 56.894, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3406, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 58.2919, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3682, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9241, kappa: 0.8485, kb_relative_information_score: 56.316, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9278, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4073, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 52.9146, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4309, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 59.6835, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3037, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 54.3452, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4236, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 60, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4264, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 56.5417, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4261, scimark_benchmark: 1870.7932,

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