Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 17819 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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17819 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5994, kappa: 0.1729, kb_relative_information_score: 0.1905, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.61, prior_entropy: 0.9815, recall: 0.61, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, f_measure: 0.5581, kappa: 0.0915, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.562, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5613, kappa: 0.0953, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5622, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5995, kappa: 0.1726, kb_relative_information_score: 0.1864, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.608, prior_entropy: 0.9815, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.6018, kappa: 0.1774, kb_relative_information_score: 0.1905, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6019, predictive_accuracy: 0.61, prior_entropy: 0.9815, recall: 0.61, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.5581, kappa: 0.0903, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5606, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.5537, kappa: 0.084, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5587, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5913, kappa: 0.1557, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5911, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.5889, kappa: 0.1509, kb_relative_information_score: 0.1656, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5888, predictive_accuracy: 0.598, prior_entropy: 0.9815, recall: 0.598, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5673, kappa: 0.1087, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5606, kappa: 0.0952, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5631, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5648, kappa: 0.105, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5691, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5455, kappa: 0.0656, kb_relative_information_score: 0.0992, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5481, predictive_accuracy: 0.566, prior_entropy: 0.9815, recall: 0.566, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5631, kappa: 0.1001, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5655, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5598, kappa: 0.094, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5627, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5948, kappa: 0.163, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5951, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5965, kappa: 0.1667, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5971, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5648, kappa: 0.1038, kb_relative_information_score: 0.1324, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5676, predictive_accuracy: 0.582, prior_entropy: 0.9815, recall: 0.582, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.593, kappa: 0.1593, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5931, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5849, kappa: 0.1424, kb_relative_information_score: 0.1573, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5846, predictive_accuracy: 0.594, prior_entropy: 0.9815, recall: 0.594, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6372, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.593, kappa: 0.1593, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5931, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5901, kappa: 0.1534, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5905, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5924, kappa: 0.1582, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5928, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.603, kappa: 0.1799, kb_relative_information_score: 0.1947, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6036, predictive_accuracy: 0.612, prior_entropy: 0.9815, recall: 0.612, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5878, kappa: 0.1484, kb_relative_information_score: 0.1615, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5872, predictive_accuracy: 0.596, prior_entropy: 0.9815, recall: 0.596, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5866, kappa: 0.1461, kb_relative_information_score: 0.1615, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5865, predictive_accuracy: 0.596, prior_entropy: 0.9815, recall: 0.596, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5589, kappa: 0.0904, kb_relative_information_score: 0.1158, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5598, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5754, kappa: 0.1245, kb_relative_information_score: 0.149, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5776, predictive_accuracy: 0.59, prior_entropy: 0.9815, recall: 0.59, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5936, kappa: 0.1605, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5901, kappa: 0.1534, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5905, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5936, kappa: 0.1605, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5995, kappa: 0.1726, kb_relative_information_score: 0.1864, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.608, prior_entropy: 0.9815, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5936, kappa: 0.1605, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.6018, kappa: 0.1774, kb_relative_information_score: 0.1905, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6019, predictive_accuracy: 0.61, prior_entropy: 0.9815, recall: 0.61, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5965, kappa: 0.1667, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5971, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5901, kappa: 0.1534, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5905, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5606, kappa: 0.0952, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5631, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5993, kappa: 0.1723, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5986, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5598, kappa: 0.094, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5627, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5913, kappa: 0.1557, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5911, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.5581, kappa: 0.0903, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5606, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.5537, kappa: 0.084, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5587, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5948, kappa: 0.163, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5951, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.6006, kappa: 0.1751, kb_relative_information_score: 0.1905, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6013, predictive_accuracy: 0.61, prior_entropy: 0.9815, recall: 0.61, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5942, kappa: 0.1619, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.5521, kappa: 0.0803, kb_relative_information_score: 0.1158, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5565, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.5982, kappa: 0.17, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5979, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.5906, kappa: 0.1543, kb_relative_information_score: 0.1656, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5899, predictive_accuracy: 0.598, prior_entropy: 0.9815, recall: 0.598, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.563, kappa: 0.0989, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5643, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.5664, kappa: 0.1062, kb_relative_information_score: 0.1324, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5683, predictive_accuracy: 0.582, prior_entropy: 0.9815, recall: 0.582, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5713, kappa: 0.116, kb_relative_information_score: 0.1407, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5731, predictive_accuracy: 0.586, prior_entropy: 0.9815, recall: 0.586, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5995, kappa: 0.1726, kb_relative_information_score: 0.1864, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.608, prior_entropy: 0.9815, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.5977, kappa: 0.1689, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5976, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5673, kappa: 0.1087, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5849, kappa: 0.1424, kb_relative_information_score: 0.1573, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5846, predictive_accuracy: 0.594, prior_entropy: 0.9815, recall: 0.594, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6372, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.5556, kappa: 0.0854, kb_relative_information_score: 0.1158, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5581, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5673, kappa: 0.1087, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.5455, kappa: 0.0656, kb_relative_information_score: 0.0992, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5481, predictive_accuracy: 0.566, prior_entropy: 0.9815, recall: 0.566, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5497, kappa: 0.0742, kb_relative_information_score: 0.1075, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5527, predictive_accuracy: 0.57, prior_entropy: 0.9815, recall: 0.57, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5631, kappa: 0.1001, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5655, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5907, kappa: 0.1545, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5908, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5965, kappa: 0.1667, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5971, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5854, kappa: 0.1438, kb_relative_information_score: 0.1615, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5859, predictive_accuracy: 0.596, prior_entropy: 0.9815, recall: 0.596, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5606, kappa: 0.0952, kb_relative_information_score: 0.1241, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5631, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.5889, kappa: 0.1509, kb_relative_information_score: 0.1656, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5888, predictive_accuracy: 0.598, prior_entropy: 0.9815, recall: 0.598, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5936, kappa: 0.1605, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5942, kappa: 0.1619, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5995, kappa: 0.1726, kb_relative_information_score: 0.1864, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.608, prior_entropy: 0.9815, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5913, kappa: 0.1557, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5911, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5589, kappa: 0.0904, kb_relative_information_score: 0.1158, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5598, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5623, kappa: 0.0989, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5901, kappa: 0.1534, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5905, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.593, kappa: 0.1593, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5931, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 0.1822, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9815, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5924, kappa: 0.1582, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5928, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5918, kappa: 0.1571, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5925, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.5696, kappa: 0.1123, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5711, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5924, kappa: 0.1582, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5928, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5936, kappa: 0.1605, kb_relative_information_score: 0.1739, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9815, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5913, kappa: 0.1557, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5911, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5948, kappa: 0.163, kb_relative_information_score: 0.1781, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5951, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5977, kappa: 0.1692, kb_relative_information_score: 0.1864, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5988, predictive_accuracy: 0.608, prior_entropy: 0.9815, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.5681, kappa: 0.1099, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5704, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5714, kappa: 0.1172, kb_relative_information_score: 0.1449, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.588, prior_entropy: 0.9815, recall: 0.588, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.3005,

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

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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