OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 12727 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3093, kb_relative_information_score: 824.2091, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3163, prior_entropy: 6.6439, recall: 0.3163, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.4527, kappa: 0.4495, kb_relative_information_score: 860.9631, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4644, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.4586, kappa: 0.4527, kb_relative_information_score: 847.9117, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4731, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.4065, kappa: 0.4116, kb_relative_information_score: 868.8852, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4126, predictive_accuracy: 0.4175, prior_entropy: 6.6439, recall: 0.4175, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, kappa: 0.4242, kb_relative_information_score: 866.9157, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.4464, kappa: 0.4426, kb_relative_information_score: 865.4805, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4616, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.4018, kappa: 0.4104, kb_relative_information_score: 859.0498, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4073, predictive_accuracy: 0.4163, prior_entropy: 6.6439, recall: 0.4163, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.4756, kappa: 0.4684, kb_relative_information_score: 841.6173, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4877, predictive_accuracy: 0.4738, prior_entropy: 6.6439, recall: 0.4738, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, kappa: 0.4362, kb_relative_information_score: 865.6748, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.351, kb_relative_information_score: 853.8528, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.4657, kappa: 0.4602, kb_relative_information_score: 856.5819, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4825, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3849, kappa: 0.4003, kb_relative_information_score: 850.6028, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3962, predictive_accuracy: 0.4063, prior_entropy: 6.6439, recall: 0.4063, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.455, kappa: 0.4508, kb_relative_information_score: 859.2355, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4677, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.4569, kappa: 0.4501, kb_relative_information_score: 853.6555, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4747, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.4665, kappa: 0.4609, kb_relative_information_score: 811.3351, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4796, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.4395, kappa: 0.4356, kb_relative_information_score: 873.0946, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4557, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.4342, kappa: 0.4318, kb_relative_information_score: 866.9408, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.447, predictive_accuracy: 0.4375, prior_entropy: 6.6439, recall: 0.4375, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.3866, kappa: 0.4015, kb_relative_information_score: 849.863, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3982, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.4585, kappa: 0.4527, kb_relative_information_score: 847.7943, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4734, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.4548, kappa: 0.452, kb_relative_information_score: 874.2262, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4761, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3826, kb_relative_information_score: 850.7083, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3888, prior_entropy: 6.6439, recall: 0.3888, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.4145, kappa: 0.4249, kb_relative_information_score: 875.1713, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4183, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.4735, kappa: 0.4697, kb_relative_information_score: 801.7945, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4852, predictive_accuracy: 0.475, prior_entropy: 6.6439, recall: 0.475, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.3539, kappa: 0.3706, kb_relative_information_score: 855.0809, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3615, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.4446, kappa: 0.4413, kb_relative_information_score: 865.5634, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4581, predictive_accuracy: 0.4469, prior_entropy: 6.6439, recall: 0.4469, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.961, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3169, prior_entropy: 6.6439, recall: 0.3169, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.961, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3169, prior_entropy: 6.6439, recall: 0.3169, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.4142, kappa: 0.4249, kb_relative_information_score: 874.3904, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4184, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.4447, kappa: 0.44, kb_relative_information_score: 866.7108, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.463, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.3773, kappa: 0.387, kb_relative_information_score: 852.5948, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3917, predictive_accuracy: 0.3931, prior_entropy: 6.6439, recall: 0.3931, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.4585, kappa: 0.4527, kb_relative_information_score: 803.9036, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4742, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.4623, kappa: 0.4558, kb_relative_information_score: 811.9834, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4772, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.4693, kappa: 0.4646, kb_relative_information_score: 845.4368, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4806, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3856, kappa: 0.4009, kb_relative_information_score: 850.6028, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.397, predictive_accuracy: 0.4069, prior_entropy: 6.6439, recall: 0.4069, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, kappa: 0.351, kb_relative_information_score: 853.4667, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, kappa: 0.3422, kb_relative_information_score: 843.5136, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3488, prior_entropy: 6.6439, recall: 0.3488, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.2446, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.4586, kappa: 0.4552, kb_relative_information_score: 865.7045, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.472, predictive_accuracy: 0.4606, prior_entropy: 6.6439, recall: 0.4606, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.3869, kappa: 0.4015, kb_relative_information_score: 848.9424, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4007, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.4728, kappa: 0.4659, kb_relative_information_score: 805.5033, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4905, predictive_accuracy: 0.4713, prior_entropy: 6.6439, recall: 0.4713, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.4684, kappa: 0.4646, kb_relative_information_score: 793.1416, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4825, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.4619, kappa: 0.4564, kb_relative_information_score: 800.742, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4749, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.4646, kappa: 0.4596, kb_relative_information_score: 862.878, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4827, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.4366, kappa: 0.4362, kb_relative_information_score: 869.4447, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4489, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.4719, kappa: 0.4653, kb_relative_information_score: 856.0992, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4852, predictive_accuracy: 0.4706, prior_entropy: 6.6439, recall: 0.4706, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.446, kappa: 0.4426, kb_relative_information_score: 855.6096, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4658, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.4443, kappa: 0.4407, kb_relative_information_score: 860.9249, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4587, predictive_accuracy: 0.4463, prior_entropy: 6.6439, recall: 0.4463, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.4038, kappa: 0.4122, kb_relative_information_score: 861.1748, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4099, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.4597, kappa: 0.4533, kb_relative_information_score: 827.5737, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4801, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.4576, kappa: 0.4489, kb_relative_information_score: 839.4503, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4794, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.3694, kappa: 0.3914, kb_relative_information_score: 854.4292, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3782, predictive_accuracy: 0.3975, prior_entropy: 6.6439, recall: 0.3975, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.4621, kappa: 0.4571, kb_relative_information_score: 857.2578, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4737, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.2446, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.4076, kappa: 0.4122, kb_relative_information_score: 867.3661, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4146, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.4584, kappa: 0.4539, kb_relative_information_score: 859.1032, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4717, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.482, kappa: 0.4766, kb_relative_information_score: 793.2775, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4912, predictive_accuracy: 0.4819, prior_entropy: 6.6439, recall: 0.4819, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.4585, kappa: 0.4527, kb_relative_information_score: 852.5368, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4735, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.4604, kappa: 0.4558, kb_relative_information_score: 864.5965, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4729, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, kappa: 0.351, kb_relative_information_score: 853.112, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.424, kappa: 0.4274, kb_relative_information_score: 874.3834, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4363, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.4135, kappa: 0.4236, kb_relative_information_score: 870.9665, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4181, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.4456, kappa: 0.4407, kb_relative_information_score: 867.807, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4619, predictive_accuracy: 0.4463, prior_entropy: 6.6439, recall: 0.4463, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.4424, kappa: 0.44, kb_relative_information_score: 860.3667, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4552, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.4696, kappa: 0.4615, kb_relative_information_score: 809.9685, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4865, predictive_accuracy: 0.4669, prior_entropy: 6.6439, recall: 0.4669, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.466, kappa: 0.4558, kb_relative_information_score: 822.9394, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4851, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.4049, kappa: 0.4097, kb_relative_information_score: 866.4163, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4121, predictive_accuracy: 0.4156, prior_entropy: 6.6439, recall: 0.4156, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, kappa: 0.3409, kb_relative_information_score: 844.4176, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3475, prior_entropy: 6.6439, recall: 0.3475, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.4554, kappa: 0.4501, kb_relative_information_score: 838.4819, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4739, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.3813, kb_relative_information_score: 849.041, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3875, prior_entropy: 6.6439, recall: 0.3875, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, kappa: 0.2999, kb_relative_information_score: 830.0776, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.4414, kappa: 0.4394, kb_relative_information_score: 877.3769, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4553, predictive_accuracy: 0.445, prior_entropy: 6.6439, recall: 0.445, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.4237, kappa: 0.4274, kb_relative_information_score: 877.4768, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.437, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4545, kappa: 0.4501, kb_relative_information_score: 862.9026, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4677, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, kappa: 0.3403, kb_relative_information_score: 841.06, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3469, prior_entropy: 6.6439, recall: 0.3469, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.452, kappa: 0.447, kb_relative_information_score: 869.7015, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4683, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 839.9692, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, kappa: 0.334, kb_relative_information_score: 841.3607, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3406, prior_entropy: 6.6439, recall: 0.3406, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.4387, kappa: 0.4362, kb_relative_information_score: 857.8295, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4531, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, kappa: 0.2999, kb_relative_information_score: 830.0882, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.3527, kappa: 0.3693, kb_relative_information_score: 854.5079, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.36, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.3661, kappa: 0.3794, kb_relative_information_score: 854.4215, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3808, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 839.9798, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.4507, kappa: 0.4451, kb_relative_information_score: 849.1533, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4641, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.3656, kappa: 0.3788, kb_relative_information_score: 852.4454, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3797, predictive_accuracy: 0.385, prior_entropy: 6.6439, recall: 0.385, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.4041, kappa: 0.4091, kb_relative_information_score: 866.4384, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4124, predictive_accuracy: 0.415, prior_entropy: 6.6439, recall: 0.415, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.4061, kappa: 0.411, kb_relative_information_score: 867.0528, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4124, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.4446, kappa: 0.4419, kb_relative_information_score: 857.4025, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.459, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.452, kappa: 0.4451, kb_relative_information_score: 842.6724, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4722, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3523, kb_relative_information_score: 854.5778, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3588, prior_entropy: 6.6439, recall: 0.3588, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.4594, kappa: 0.4539, kb_relative_information_score: 834.1259, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4733, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.4043, kappa: 0.4122, kb_relative_information_score: 861.93, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4119, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.4603, kappa: 0.4558, kb_relative_information_score: 867.0694, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.474, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.4407, kappa: 0.4369, kb_relative_information_score: 864.576, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4551, predictive_accuracy: 0.4425, prior_entropy: 6.6439, recall: 0.4425, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, kappa: 0.4268, kb_relative_information_score: 873.1209, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4325, prior_entropy: 6.6439, recall: 0.4325, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.3813, kb_relative_information_score: 849.041, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3875, prior_entropy: 6.6439, recall: 0.3875, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9091,

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

OpenML APIs