Task
Supervised Classification on fruitfly

Supervised Classification on fruitfly

Task 3580 Supervised Classification fruitfly 839 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3173, f_measure: 0.4176, kappa: -0.1868, kb_relative_information_score: -14.8414, mean_absolute_error: 0.523, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3688, predictive_accuracy: 0.504, prior_entropy: 0.9671, recall: 0.504, relative_absolute_error: 1.0964, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5785, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4048, f_measure: 0.4737, kappa: 0.0087, kb_relative_information_score: -1.0879, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5667, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4693, kb_relative_information_score: -1.1182, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.477, number_of_instances: 125, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5138, kappa: -0.0021, kb_relative_information_score: 11.6056, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5218, predictive_accuracy: 0.576, prior_entropy: 0.9671, recall: 0.576, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5452, kappa: 0.0512, kb_relative_information_score: -1.9884, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.556, predictive_accuracy: 0.592, prior_entropy: 0.9671, recall: 0.592, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, f_measure: 0.504, kappa: -0.0437, kb_relative_information_score: -7.2942, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.498, predictive_accuracy: 0.544, prior_entropy: 0.9671, recall: 0.544, relative_absolute_error: 1.0488, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.5193, kappa: 0.0128, kb_relative_information_score: 1.2748, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.533, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3374, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -3.4512, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0179, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4793, kappa: -0.0834, kb_relative_information_score: -1.7588, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4686, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, f_measure: 0.524, kappa: -0.01, kb_relative_information_score: -6.6825, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5184, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0393, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3703, f_measure: 0.4793, kappa: -0.0834, kb_relative_information_score: -10.8241, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4686, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.504, kappa: -0.0437, kb_relative_information_score: -4.3667, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.498, predictive_accuracy: 0.544, prior_entropy: 0.9671, recall: 0.544, relative_absolute_error: 1.0221, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4533, f_measure: 0.4598, kb_relative_information_score: -0.7602, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4535, f_measure: 0.4598, kb_relative_information_score: -1.1317, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.5107, kappa: -0.0371, kb_relative_information_score: -4.8647, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5053, predictive_accuracy: 0.52, prior_entropy: 0.9671, recall: 0.52, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.4751, kappa: -0.1081, kb_relative_information_score: -4.4257, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.463, predictive_accuracy: 0.512, prior_entropy: 0.9671, recall: 0.512, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4341, f_measure: 0.4598, kb_relative_information_score: 13.1171, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.592, root_relative_squared_error: 1.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.4836, kappa: -0.0962, kb_relative_information_score: -5.2047, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4745, predictive_accuracy: 0.504, prior_entropy: 0.9671, recall: 0.504, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.4695, kappa: -0.0071, kb_relative_information_score: -0.3672, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4995, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.524, kappa: -0.01, kb_relative_information_score: -5.7158, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5184, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.1211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.0464, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4535, f_measure: 0.4598, kb_relative_information_score: -1.0065, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4295, f_measure: 0.4549, kappa: -0.09, kb_relative_information_score: -7.4739, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4286, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4295, f_measure: 0.4549, kappa: -0.09, kb_relative_information_score: -7.4739, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4286, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4193, f_measure: 0.5168, kappa: 0.0197, kb_relative_information_score: -6.1919, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5405, predictive_accuracy: 0.592, prior_entropy: 0.9671, recall: 0.592, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4778, f_measure: 0.5389, kappa: 0.0296, kb_relative_information_score: -2.6868, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5405, predictive_accuracy: 0.576, prior_entropy: 0.9671, recall: 0.576, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.429, f_measure: 0.5008, kappa: -0.0252, kb_relative_information_score: -5.4499, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5043, predictive_accuracy: 0.568, prior_entropy: 0.9671, recall: 0.568, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3817, f_measure: 0.4595, kappa: -0.0751, kb_relative_information_score: -5.6608, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4379, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 1.0324, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3839, f_measure: 0.5206, kappa: -0.0133, kb_relative_information_score: -9.9596, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.516, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.057, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.501, kappa: -0.0583, kb_relative_information_score: -5.488, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4948, predictive_accuracy: 0.512, prior_entropy: 0.9671, recall: 0.512, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.429, f_measure: 0.5008, kappa: -0.0252, kb_relative_information_score: -5.4499, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5043, predictive_accuracy: 0.568, prior_entropy: 0.9671, recall: 0.568, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4598, kb_relative_information_score: -2.3008, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.5433, kappa: 0.0321, kb_relative_information_score: 0.2011, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5389, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.504, kappa: -0.0405, kb_relative_information_score: -7.6268, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.504, predictive_accuracy: 0.504, prior_entropy: 0.9671, recall: 0.504, relative_absolute_error: 1.0397, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5891, kappa: 0.1314, kb_relative_information_score: 22.2903, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5954, predictive_accuracy: 0.616, prior_entropy: 0.9671, recall: 0.616, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, scimark_benchmark: 1697.6783, usercpu_time_millis: 8000, usercpu_time_millis_training: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5157, kappa: -0.0151, kb_relative_information_score: 7.3318, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5142, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3587, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1321.6668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5157, kappa: -0.0151, kb_relative_information_score: 7.3318, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5142, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3587, scimark_benchmark: 1381.4981, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5891, kappa: 0.1314, kb_relative_information_score: 22.2903, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5954, predictive_accuracy: 0.616, prior_entropy: 0.9671, recall: 0.616, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2693, scimark_benchmark: 1636.3473, usercpu_time_millis: 4010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.5336, kappa: 0.0099, kb_relative_information_score: -0.6077, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5284, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0578, scimark_benchmark: 1918.4916, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5233, kappa: -0.0116, kb_relative_information_score: 1.3692, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5174, predictive_accuracy: 0.544, prior_entropy: 0.9671, recall: 0.544, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0436, scimark_benchmark: 1918.4916, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1427.64, usercpu_time_millis: 1671.875, usercpu_time_millis_training: 1671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5141, kappa: -0.0313, kb_relative_information_score: -0.7137, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5078, predictive_accuracy: 0.528, prior_entropy: 0.9671, recall: 0.528, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.1047, scimark_benchmark: 1516.3558, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5233, kappa: -0.0116, kb_relative_information_score: 1.3692, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5174, predictive_accuracy: 0.544, prior_entropy: 0.9671, recall: 0.544, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0436, scimark_benchmark: 1871.4229, 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: 0.429, f_measure: 0.5008, kappa: -0.0252, kb_relative_information_score: -5.4499, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5043, predictive_accuracy: 0.568, prior_entropy: 0.9671, recall: 0.568, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464, scimark_benchmark: 1351.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.5296, kappa: 0.0023, kb_relative_information_score: -2.4132, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5245, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0505, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.5501, kappa: 0.0516, kb_relative_information_score: 3.7386, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5527, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0072, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4552, f_measure: 0.4699, kappa: -0.1158, kb_relative_information_score: -17.1637, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4681, predictive_accuracy: 0.472, prior_entropy: 0.9671, recall: 0.472, relative_absolute_error: 1.1139, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7192, root_relative_squared_error: 1.4731, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4271, f_measure: 0.5028, kappa: -0.0315, kb_relative_information_score: -6.8181, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.502, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 1.0384, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0909, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4793, kappa: -0.0834, kb_relative_information_score: -1.7588, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4686, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0269, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4067, f_measure: 0.4457, kappa: -0.1195, kb_relative_information_score: -5.4938, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4132, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0382, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.501, kappa: -0.0583, kb_relative_information_score: -5.488, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4948, predictive_accuracy: 0.512, prior_entropy: 0.9671, recall: 0.512, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.158, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4295, f_measure: 0.4549, kappa: -0.09, kb_relative_information_score: -7.4739, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4286, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0924, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.429, f_measure: 0.5008, kappa: -0.0252, kb_relative_information_score: -5.4499, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5043, predictive_accuracy: 0.568, prior_entropy: 0.9671, recall: 0.568, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.5296, kappa: 0.0023, kb_relative_information_score: -2.4132, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5245, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0505, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.5501, kappa: 0.0516, kb_relative_information_score: 3.7386, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5527, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0072, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4552, f_measure: 0.4699, kappa: -0.1158, kb_relative_information_score: -17.1637, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4681, predictive_accuracy: 0.472, prior_entropy: 0.9671, recall: 0.472, relative_absolute_error: 1.1139, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7192, root_relative_squared_error: 1.4731, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4271, f_measure: 0.5028, kappa: -0.0315, kb_relative_information_score: -6.8181, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.502, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 1.0384, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0909, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4793, kappa: -0.0834, kb_relative_information_score: -1.7588, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4686, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0269, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4067, f_measure: 0.4457, kappa: -0.1195, kb_relative_information_score: -5.4938, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4132, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0382, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.501, kappa: -0.0583, kb_relative_information_score: -5.488, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4948, predictive_accuracy: 0.512, prior_entropy: 0.9671, recall: 0.512, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.158, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -0.1064, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4295, f_measure: 0.4549, kappa: -0.09, kb_relative_information_score: -7.4739, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4286, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0924, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4271, f_measure: 0.5028, kappa: -0.0315, kb_relative_information_score: -6.8181, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.502, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 1.0384, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0909, 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: 0.5103, f_measure: 0.5296, kappa: 0.0023, kb_relative_information_score: -2.4132, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5245, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0505, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4315, f_measure: 0.4598, kb_relative_information_score: -1.7752, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0133, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.0476, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.5128, kappa: -0.0334, kb_relative_information_score: -6.5095, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.506, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0326, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0278, 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: 0.4315, f_measure: 0.4598, kb_relative_information_score: -1.7727, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0132, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 20.1534, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1305.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.5501, kappa: 0.0516, kb_relative_information_score: 3.7386, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5527, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0072, scimark_benchmark: 1020.1702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4793, kappa: -0.0834, kb_relative_information_score: -1.7588, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4686, predictive_accuracy: 0.536, prior_entropy: 0.9671, recall: 0.536, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0269, scimark_benchmark: 1191.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.4598, kb_relative_information_score: -2.0075, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0145, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.4598, kb_relative_information_score: -2.0075, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0145, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4208, f_measure: 0.4901, kappa: -0.0545, kb_relative_information_score: -15.5418, mean_absolute_error: 0.5264, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.4851, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.1035, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6308, root_relative_squared_error: 1.2921, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4382, f_measure: 0.4939, kappa: -0.0121, kb_relative_information_score: -3.7822, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.5105, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0483, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.4598, kb_relative_information_score: -2.0075, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0145, scimark_benchmark: 1873.1108,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs