OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 12719 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: 0.827, f_measure: 0.4331, kappa: 0.4318, kb_relative_information_score: 867.708, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4459, predictive_accuracy: 0.4375, prior_entropy: 6.6439, recall: 0.4375, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3867, kappa: 0.4021, kb_relative_information_score: 851.4482, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3979, predictive_accuracy: 0.4081, prior_entropy: 6.6439, recall: 0.4081, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.4059, kappa: 0.4104, kb_relative_information_score: 865.3974, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4144, predictive_accuracy: 0.4163, prior_entropy: 6.6439, recall: 0.4163, relative_absolute_error: 0.6753, 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: 0.8664, 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: 0.8032, f_measure: 0.4574, kappa: 0.4508, kb_relative_information_score: 840.4641, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4747, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.4602, kappa: 0.4527, kb_relative_information_score: 846.3081, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4798, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.4601, kappa: 0.4564, kb_relative_information_score: 816.5752, mean_absolute_error: 0.011, 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: 0.557, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.3869, kappa: 0.4015, kb_relative_information_score: 849.6567, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4004, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.4637, kappa: 0.4609, kb_relative_information_score: 815.8213, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4723, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.4568, kappa: 0.4527, kb_relative_information_score: 852.5965, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4709, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, kappa: 0.3333, kb_relative_information_score: 840.7913, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7561, 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: 0.7709, f_measure: 0.4719, kappa: 0.4659, kb_relative_information_score: 821.5585, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4828, predictive_accuracy: 0.4713, prior_entropy: 6.6439, recall: 0.4713, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.4638, kappa: 0.4577, kb_relative_information_score: 869.7562, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.48, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9048,
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: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.3762, kappa: 0.387, kb_relative_information_score: 852.7578, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3907, predictive_accuracy: 0.3931, prior_entropy: 6.6439, recall: 0.3931, relative_absolute_error: 0.7004, 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: 0.8331, f_measure: 0.4192, kappa: 0.4236, kb_relative_information_score: 868.9624, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.428, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6588, 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: 0.8597, kappa: 0.334, kb_relative_information_score: 841.3309, 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: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.4494, kappa: 0.4444, kb_relative_information_score: 830.1949, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4678, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.4479, kappa: 0.4426, kb_relative_information_score: 807.7536, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.464, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.9507,
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: 0.8612, 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: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.1047, 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: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.4671, kappa: 0.4621, kb_relative_information_score: 850.3595, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4787, predictive_accuracy: 0.4675, prior_entropy: 6.6439, recall: 0.4675, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.4606, kappa: 0.4545, kb_relative_information_score: 853.3697, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4771, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.6024, 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: 0.8314, f_measure: 0.4377, kappa: 0.4343, kb_relative_information_score: 868.8645, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4542, predictive_accuracy: 0.44, prior_entropy: 6.6439, recall: 0.44, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9006,
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: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2992, kb_relative_information_score: 829.285, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.3683, kappa: 0.3902, kb_relative_information_score: 851.2596, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3757, predictive_accuracy: 0.3963, prior_entropy: 6.6439, recall: 0.3963, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.4649, kappa: 0.4609, kb_relative_information_score: 860.4595, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4795, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9131,
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: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.0645, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7562, 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: 0.8725, kappa: 0.2992, kb_relative_information_score: 829.285, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.4414, kappa: 0.44, kb_relative_information_score: 875.7603, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4535, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.3682, kappa: 0.3902, kb_relative_information_score: 852.7367, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3774, predictive_accuracy: 0.3963, prior_entropy: 6.6439, recall: 0.3963, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.3567, kappa: 0.3731, kb_relative_information_score: 856.9119, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3652, predictive_accuracy: 0.3794, prior_entropy: 6.6439, recall: 0.3794, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.4624, kappa: 0.4539, kb_relative_information_score: 825.714, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4841, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.9379,
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: 0.8411, f_measure: 0.3791, kappa: 0.3895, kb_relative_information_score: 856.8464, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.394, predictive_accuracy: 0.3956, prior_entropy: 6.6439, recall: 0.3956, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.4432, kappa: 0.44, kb_relative_information_score: 861.0884, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4576, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.4528, kappa: 0.4482, kb_relative_information_score: 867.1172, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4681, predictive_accuracy: 0.4538, prior_entropy: 6.6439, recall: 0.4538, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.3682, kappa: 0.3902, kb_relative_information_score: 852.7528, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.377, predictive_accuracy: 0.3963, prior_entropy: 6.6439, recall: 0.3963, relative_absolute_error: 0.718, 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: 0.8374, f_measure: 0.4065, kappa: 0.4116, kb_relative_information_score: 863.7753, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.414, predictive_accuracy: 0.4175, prior_entropy: 6.6439, recall: 0.4175, relative_absolute_error: 0.6752, 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: 0.8486, f_measure: 0.4042, kappa: 0.4122, kb_relative_information_score: 863.1763, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4116, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.4594, kappa: 0.4533, kb_relative_information_score: 852.3535, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4748, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.6023, 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: 0.873, 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: 0.8664, 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: 0.838, f_measure: 0.4049, kappa: 0.4097, kb_relative_information_score: 864.1619, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4124, predictive_accuracy: 0.4156, prior_entropy: 6.6439, recall: 0.4156, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.4467, kappa: 0.4444, kb_relative_information_score: 859.3461, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4601, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.4171, kappa: 0.4242, kb_relative_information_score: 861.8853, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.421, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.4072, kappa: 0.4122, kb_relative_information_score: 867.6494, 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: 0.0893, root_relative_squared_error: 0.8971,
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: 0.8565, f_measure: 0.3688, kappa: 0.3908, kb_relative_information_score: 853.7239, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3776, predictive_accuracy: 0.3969, prior_entropy: 6.6439, recall: 0.3969, relative_absolute_error: 0.7175, 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: 0.8082, f_measure: 0.4649, kappa: 0.459, kb_relative_information_score: 867.8122, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4815, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.5963, 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: 0.8471, f_measure: 0.4042, kappa: 0.4122, kb_relative_information_score: 860.8859, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4122, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.9716, 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: 0.8167, f_measure: 0.4539, kappa: 0.4489, kb_relative_information_score: 866.5487, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4687, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.6063, 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: 0.7981, f_measure: 0.4635, kappa: 0.459, kb_relative_information_score: 860.0697, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4801, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.4137, kappa: 0.4249, kb_relative_information_score: 874.2809, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4164, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6696, 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: 0.8586, kappa: 0.351, kb_relative_information_score: 852.8484, 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: 0.7398, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.4591, kappa: 0.4552, kb_relative_information_score: 866.3815, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4732, predictive_accuracy: 0.4606, prior_entropy: 6.6439, recall: 0.4606, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, kappa: 0.3403, kb_relative_information_score: 841.1107, 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: 0.859, kappa: 0.334, kb_relative_information_score: 840.2296, 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: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.3538, kappa: 0.3706, kb_relative_information_score: 856.3633, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3606, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.7244, 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: 0.8772, 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: 0.8388, kappa: 0.4242, kb_relative_information_score: 868.8679, 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: 0.6465, 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: 0.7807, f_measure: 0.4546, kappa: 0.4501, kb_relative_information_score: 826.0098, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4715, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.5793, 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: 0.7935, f_measure: 0.4597, kappa: 0.4539, kb_relative_information_score: 850.3745, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4716, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.4847, kappa: 0.4779, kb_relative_information_score: 771.1952, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4954, predictive_accuracy: 0.4831, prior_entropy: 6.6439, recall: 0.4831, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1017, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.4273, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9142,
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: 0.8047, f_measure: 0.4602, kappa: 0.4545, kb_relative_information_score: 855.3498, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4769, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.6044, 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: 0.766, f_measure: 0.4564, kappa: 0.452, kb_relative_information_score: 809.2051, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.472, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.3521, kappa: 0.3687, kb_relative_information_score: 852.229, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3593, predictive_accuracy: 0.375, prior_entropy: 6.6439, recall: 0.375, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.4411, kappa: 0.4394, kb_relative_information_score: 857.9164, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4517, predictive_accuracy: 0.445, prior_entropy: 6.6439, recall: 0.445, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.3519, kappa: 0.3687, kb_relative_information_score: 853.9345, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.359, predictive_accuracy: 0.375, prior_entropy: 6.6439, recall: 0.375, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.4138, kappa: 0.4242, kb_relative_information_score: 872.7447, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4182, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.4578, kappa: 0.4527, kb_relative_information_score: 840.3234, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4786, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, kappa: 0.3428, kb_relative_information_score: 846.8205, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3494, prior_entropy: 6.6439, recall: 0.3494, relative_absolute_error: 0.7617, 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: 0.8717, 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: 0.7776, f_measure: 0.4545, kappa: 0.4482, kb_relative_information_score: 825.7841, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4722, predictive_accuracy: 0.4538, prior_entropy: 6.6439, recall: 0.4538, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.4488, kappa: 0.4444, kb_relative_information_score: 822.4674, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4666, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.9381,
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: 0.8619, kappa: 0.3163, kb_relative_information_score: 829.1126, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3231, prior_entropy: 6.6439, recall: 0.3231, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, kappa: 0.3516, kb_relative_information_score: 853.0506, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3581, prior_entropy: 6.6439, recall: 0.3581, relative_absolute_error: 0.7397, 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: 0.7795, f_measure: 0.4794, kappa: 0.4735, kb_relative_information_score: 844.5711, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4911, predictive_accuracy: 0.4788, prior_entropy: 6.6439, recall: 0.4788, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.3846, kappa: 0.3996, kb_relative_information_score: 848.9044, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3963, predictive_accuracy: 0.4056, prior_entropy: 6.6439, recall: 0.4056, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.4325, kappa: 0.4312, kb_relative_information_score: 869.0754, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4456, predictive_accuracy: 0.4369, prior_entropy: 6.6439, recall: 0.4369, relative_absolute_error: 0.6437, 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: 0.8019, f_measure: 0.4567, kappa: 0.452, kb_relative_information_score: 856.6404, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4669, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.4159, kappa: 0.423, kb_relative_information_score: 861.2769, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4193, predictive_accuracy: 0.4288, prior_entropy: 6.6439, recall: 0.4288, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.4032, kappa: 0.4116, kb_relative_information_score: 862.2422, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4102, predictive_accuracy: 0.4175, prior_entropy: 6.6439, recall: 0.4175, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.4488, kappa: 0.4451, kb_relative_information_score: 855.2179, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4624, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.4563, kappa: 0.4501, kb_relative_information_score: 847.1973, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4718, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.4638, kappa: 0.4602, kb_relative_information_score: 861.2838, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4776, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.4459, kappa: 0.4426, kb_relative_information_score: 864.1417, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4587, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6192, 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: 0.8286, f_measure: 0.4257, kappa: 0.4274, kb_relative_information_score: 865.5262, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.439, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4487, kappa: 0.4432, kb_relative_information_score: 866.6928, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4637, predictive_accuracy: 0.4488, prior_entropy: 6.6439, recall: 0.4488, relative_absolute_error: 0.6096, 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: 0.8664, 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: 0.8668, 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: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.643, 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: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.4566, kappa: 0.452, kb_relative_information_score: 850.1235, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4708, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9136,

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