Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 19134 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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19134 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6139, kappa: 0.5129, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.6108, kappa: 0.5091, kb_relative_information_score: 0.5395, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6101, predictive_accuracy: 0.6209, prior_entropy: 2.2621, recall: 0.6209, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6115, kappa: 0.5107, kb_relative_information_score: 0.541, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6113, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6094, kappa: 0.51, kb_relative_information_score: 0.5402, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6109, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6117, kappa: 0.5118, kb_relative_information_score: 0.5417, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6138, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6127, kappa: 0.5112, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6124, kappa: 0.5124, kb_relative_information_score: 0.5424, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.6135, kappa: 0.5138, kb_relative_information_score: 0.5436, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.5986, kappa: 0.4949, kb_relative_information_score: 0.5269, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5979, predictive_accuracy: 0.6101, prior_entropy: 2.2621, recall: 0.6101, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6149, kappa: 0.5156, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6168, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6116, kappa: 0.5118, kb_relative_information_score: 0.542, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.613, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6145, kappa: 0.5144, kb_relative_information_score: 0.5443, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6137, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6151, kappa: 0.5156, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6165, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6113, kappa: 0.5101, kb_relative_information_score: 0.5402, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6135, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6032, kappa: 0.5013, kb_relative_information_score: 0.5321, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6042, predictive_accuracy: 0.6155, prior_entropy: 2.2621, recall: 0.6155, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.613, kappa: 0.5139, kb_relative_information_score: 0.5436, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6135, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6139, kappa: 0.5129, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.6151, kappa: 0.5146, kb_relative_information_score: 0.5449, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6145, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.6124, kappa: 0.5111, kb_relative_information_score: 0.5418, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.6078, kappa: 0.5064, kb_relative_information_score: 0.5368, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6097, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6132, kappa: 0.5126, kb_relative_information_score: 0.5431, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.613, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6127, kappa: 0.5113, kb_relative_information_score: 0.5421, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6116, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6164, kappa: 0.5166, kb_relative_information_score: 0.5466, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6152, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.6119, kappa: 0.5109, kb_relative_information_score: 0.5413, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6111, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6125, kappa: 0.5113, kb_relative_information_score: 0.5418, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6114, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6154, kappa: 0.5148, kb_relative_information_score: 0.5448, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6145, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.614, kappa: 0.5129, kb_relative_information_score: 0.5433, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6132, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.6133, kappa: 0.5123, kb_relative_information_score: 0.5426, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6089, kappa: 0.5094, kb_relative_information_score: 0.539, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6122, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6056, kappa: 0.5035, kb_relative_information_score: 0.5345, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6065, predictive_accuracy: 0.6168, prior_entropy: 2.2621, recall: 0.6168, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6088, kappa: 0.507, kb_relative_information_score: 0.5374, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6107, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6122, kappa: 0.511, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6116, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.619, kappa: 0.5198, kb_relative_information_score: 0.5491, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6185, predictive_accuracy: 0.6291, prior_entropy: 2.2621, recall: 0.6291, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6101, kappa: 0.5077, kb_relative_information_score: 0.5386, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.613, kappa: 0.5113, kb_relative_information_score: 0.5421, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6155, kappa: 0.5147, kb_relative_information_score: 0.5447, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6149, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6123, kappa: 0.5109, kb_relative_information_score: 0.5415, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6119, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.6108, kappa: 0.5091, kb_relative_information_score: 0.5395, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6101, predictive_accuracy: 0.6209, prior_entropy: 2.2621, recall: 0.6209, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6161, kappa: 0.5164, kb_relative_information_score: 0.5464, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6148, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6115, kappa: 0.5107, kb_relative_information_score: 0.541, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6113, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.612, kappa: 0.511, kb_relative_information_score: 0.5413, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6112, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.6202, kappa: 0.5204, kb_relative_information_score: 0.5501, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6193, predictive_accuracy: 0.6291, prior_entropy: 2.2621, recall: 0.6291, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.5975, kappa: 0.494, kb_relative_information_score: 0.5251, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5985, predictive_accuracy: 0.6101, prior_entropy: 2.2621, recall: 0.6101, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6113, kappa: 0.5095, kb_relative_information_score: 0.54, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.6209, prior_entropy: 2.2621, recall: 0.6209, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.613, kappa: 0.5139, kb_relative_information_score: 0.5436, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6135, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6127, kappa: 0.5112, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6094, kappa: 0.51, kb_relative_information_score: 0.5402, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6109, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6117, kappa: 0.5118, kb_relative_information_score: 0.5417, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6138, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6136, kappa: 0.5115, kb_relative_information_score: 0.5424, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6127, kappa: 0.5112, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6118, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6149, kappa: 0.5143, kb_relative_information_score: 0.5444, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6148, kappa: 0.5146, kb_relative_information_score: 0.5445, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6138, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6079, kappa: 0.5067, kb_relative_information_score: 0.5369, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6091, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6132, kappa: 0.5115, kb_relative_information_score: 0.542, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.6178, kappa: 0.5182, kb_relative_information_score: 0.5479, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6169, predictive_accuracy: 0.6277, prior_entropy: 2.2621, recall: 0.6277, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6045, kappa: 0.5027, kb_relative_information_score: 0.5331, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6065, predictive_accuracy: 0.6168, prior_entropy: 2.2621, recall: 0.6168, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.606, kappa: 0.5047, kb_relative_information_score: 0.5352, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6074, predictive_accuracy: 0.6182, prior_entropy: 2.2621, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6106, kappa: 0.5114, kb_relative_information_score: 0.5407, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.613, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.6158, kappa: 0.5162, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.6178, kappa: 0.518, kb_relative_information_score: 0.5481, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6174, predictive_accuracy: 0.6277, prior_entropy: 2.2621, recall: 0.6277, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6138, kappa: 0.513, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6128, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.6087, kappa: 0.5073, kb_relative_information_score: 0.5384, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6086, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6127, kappa: 0.5113, kb_relative_information_score: 0.5421, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6116, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.6135, kappa: 0.5138, kb_relative_information_score: 0.5436, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.6199, kappa: 0.5211, kb_relative_information_score: 0.5505, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6214, predictive_accuracy: 0.6304, prior_entropy: 2.2621, recall: 0.6304, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.5986, kappa: 0.4949, kb_relative_information_score: 0.5269, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5979, predictive_accuracy: 0.6101, prior_entropy: 2.2621, recall: 0.6101, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6113, kappa: 0.5101, kb_relative_information_score: 0.5402, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6135, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6058, kappa: 0.5046, kb_relative_information_score: 0.5351, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6078, predictive_accuracy: 0.6182, prior_entropy: 2.2621, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6032, kappa: 0.5013, kb_relative_information_score: 0.5321, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6042, predictive_accuracy: 0.6155, prior_entropy: 2.2621, recall: 0.6155, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6168, kappa: 0.5164, kb_relative_information_score: 0.5465, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6163, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6138, kappa: 0.5128, kb_relative_information_score: 0.5429, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.6154, kappa: 0.5149, kb_relative_information_score: 0.5448, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6149, kappa: 0.5156, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6168, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6124, kappa: 0.5124, kb_relative_information_score: 0.5424, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6122, kappa: 0.511, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6116, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6137, kappa: 0.5127, kb_relative_information_score: 0.5431, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6132, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6149, kappa: 0.5133, kb_relative_information_score: 0.5442, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6141, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.6134, kappa: 0.5113, kb_relative_information_score: 0.5425, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6129, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6089, kappa: 0.5094, kb_relative_information_score: 0.539, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6122, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6138, kappa: 0.5138, kb_relative_information_score: 0.544, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6158, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6169, kappa: 0.5165, kb_relative_information_score: 0.5465, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6163, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6139, kappa: 0.5129, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6136, kappa: 0.5115, kb_relative_information_score: 0.5424, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6151, kappa: 0.5156, kb_relative_information_score: 0.5458, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6165, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.6119, kappa: 0.5109, kb_relative_information_score: 0.5413, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6111, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6164, kappa: 0.5166, kb_relative_information_score: 0.5466, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6152, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6143, kappa: 0.5131, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6112, kappa: 0.5096, kb_relative_information_score: 0.5404, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6099, predictive_accuracy: 0.6209, prior_entropy: 2.2621, recall: 0.6209, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6127, kappa: 0.5113, kb_relative_information_score: 0.5415, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6118, predictive_accuracy: 0.6223, prior_entropy: 2.2621, recall: 0.6223, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6069, kappa: 0.5052, kb_relative_information_score: 0.5361, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6076, predictive_accuracy: 0.6182, prior_entropy: 2.2621, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.6099, kappa: 0.5075, kb_relative_information_score: 0.5386, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6093, predictive_accuracy: 0.6196, prior_entropy: 2.2621, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6169, kappa: 0.5166, kb_relative_information_score: 0.5471, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6162, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6138, kappa: 0.5128, kb_relative_information_score: 0.5431, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.6193, kappa: 0.52, kb_relative_information_score: 0.5495, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6187, predictive_accuracy: 0.6291, prior_entropy: 2.2621, recall: 0.6291, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6154, kappa: 0.5147, kb_relative_information_score: 0.5447, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6145, predictive_accuracy: 0.625, prior_entropy: 2.2621, recall: 0.625, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6062, kappa: 0.5049, kb_relative_information_score: 0.5352, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6071, predictive_accuracy: 0.6182, prior_entropy: 2.2621, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6046, kappa: 0.5028, kb_relative_information_score: 0.5334, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6062, predictive_accuracy: 0.6168, prior_entropy: 2.2621, recall: 0.6168, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6139, kappa: 0.513, kb_relative_information_score: 0.5437, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.613, predictive_accuracy: 0.6236, prior_entropy: 2.2621, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6199, kappa: 0.52, kb_relative_information_score: 0.5501, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6196, predictive_accuracy: 0.6291, prior_entropy: 2.2621, recall: 0.6291, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6163, kappa: 0.5165, kb_relative_information_score: 0.5466, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6156, predictive_accuracy: 0.6264, prior_entropy: 2.2621, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,

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