OpenML
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19176 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.601, kappa: 0.1793, kb_relative_information_score: 64.2324, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6002, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0646, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5064, kappa: -0.0049, kb_relative_information_score: -12.9957, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5104, predictive_accuracy: 0.504, prior_entropy: 0.9816, recall: 0.504, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0646, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.447, kappa: 0.0235, kb_relative_information_score: 74.0446, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6893, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6015, root_relative_squared_error: 1.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0646, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.4658, kappa: 0.0323, kb_relative_information_score: 8.1913, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5972, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.468, kappa: 0.0403, kb_relative_information_score: 7.5933, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6303, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.6091, kappa: 0.2021, kb_relative_information_score: 31.963, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6287, predictive_accuracy: 0.634, prior_entropy: 0.9816, recall: 0.634, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.5815, kappa: 0.1514, kb_relative_information_score: 32.8649, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6047, predictive_accuracy: 0.614, prior_entropy: 0.9816, recall: 0.614, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.4319, kappa: -0.0009, kb_relative_information_score: 1.481, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5043, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5765, kappa: 0.144, kb_relative_information_score: 27.4861, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6026, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5531, kappa: 0.0961, kb_relative_information_score: 15.0067, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5724, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.5694, kappa: 0.1186, kb_relative_information_score: 16.0749, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5792, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.4996, kappa: 0.042, kb_relative_information_score: 7.866, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5564, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.5879, kappa: 0.1502, kb_relative_information_score: 55.0103, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5909, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5967, kappa: 0.1843, kb_relative_information_score: 39.3916, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6271, predictive_accuracy: 0.63, prior_entropy: 0.9816, recall: 0.63, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5876, kappa: 0.1804, kb_relative_information_score: 26.8553, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6427, predictive_accuracy: 0.634, prior_entropy: 0.9816, recall: 0.634, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.544, kappa: 0.0947, kb_relative_information_score: 16.5631, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5815, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5644, kappa: 0.1015, kb_relative_information_score: 51.6612, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5626, predictive_accuracy: 0.568, prior_entropy: 0.9816, recall: 0.568, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5612, kappa: 0.1, kb_relative_information_score: 35.2359, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5678, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5157, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.563, kappa: 0.1025, kb_relative_information_score: 17.6766, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5684, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5427, kappa: 0.1245, kb_relative_information_score: 19.6814, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6422, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5578, kappa: 0.1012, kb_relative_information_score: 24.8546, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.573, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.5861, kappa: 0.1548, kb_relative_information_score: 34.0795, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.5828, kappa: 0.1472, kb_relative_information_score: 34.572, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5962, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.5724, kappa: 0.1313, kb_relative_information_score: 89.0165, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5913, predictive_accuracy: 0.604, prior_entropy: 0.9816, 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: 0.6188, f_measure: 0.5882, kappa: 0.1529, kb_relative_information_score: 34.7949, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5945, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5815, kappa: 0.1408, kb_relative_information_score: 27.1245, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5894, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.5454, kappa: 0.0934, kb_relative_information_score: 78.6401, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.578, predictive_accuracy: 0.594, prior_entropy: 0.9816, 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: 0.5589, f_measure: 0.574, kappa: 0.1234, kb_relative_information_score: 76.5648, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5785, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.57, kappa: 0.1353, kb_relative_information_score: 24.68, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.5659, kappa: 0.129, kb_relative_information_score: 24.6517, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5984, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5584, kappa: 0.1, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5709, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5778, kappa: 0.1413, kb_relative_information_score: 93.1671, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5964, predictive_accuracy: 0.608, prior_entropy: 0.9816, 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: 0.5405, f_measure: 0.534, kappa: 0.0893, kb_relative_information_score: 82.7907, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5878, predictive_accuracy: 0.598, prior_entropy: 0.9816, 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: 0.6162, f_measure: 0.5746, kappa: 0.1285, kb_relative_information_score: 32.0091, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5842, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.538, kappa: 0.0769, kb_relative_information_score: 70.3389, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5656, predictive_accuracy: 0.586, prior_entropy: 0.9816, 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: 0.5695, f_measure: 0.5828, kappa: 0.1472, kb_relative_information_score: 93.1671, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5962, predictive_accuracy: 0.608, prior_entropy: 0.9816, 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: 0.561, f_measure: 0.5729, kappa: 0.1299, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5886, predictive_accuracy: 0.602, prior_entropy: 0.9816, 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: 0.547, f_measure: 0.5584, kappa: 0.1, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5709, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5778, kappa: 0.1413, kb_relative_information_score: 93.1671, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5964, predictive_accuracy: 0.608, prior_entropy: 0.9816, 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: 0.5436, f_measure: 0.5469, kappa: 0.0947, kb_relative_information_score: 78.6401, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5779, predictive_accuracy: 0.594, prior_entropy: 0.9816, 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: 0.626, f_measure: 0.5799, kappa: 0.137, kb_relative_information_score: 33.6754, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5871, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.582, kappa: 0.154, kb_relative_information_score: 30.1209, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6078, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5333, kappa: 0.0945, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.598, predictive_accuracy: 0.602, prior_entropy: 0.9816, 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: 0.6199, f_measure: 0.5865, kappa: 0.152, kb_relative_information_score: 34.3549, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5963, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5831, kappa: 0.1512, kb_relative_information_score: 97.3177, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6015, predictive_accuracy: 0.612, prior_entropy: 0.9816, 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: 0.5697, f_measure: 0.584, kappa: 0.147, kb_relative_information_score: 91.0918, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5939, predictive_accuracy: 0.606, prior_entropy: 0.9816, 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: 0.5942, f_measure: 0.5877, kappa: 0.1486, kb_relative_information_score: 30.9843, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5882, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5304, kappa: 0.0867, kb_relative_information_score: 82.7907, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5891, predictive_accuracy: 0.598, prior_entropy: 0.9816, 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: 0.6417, f_measure: 0.5941, kappa: 0.1681, kb_relative_information_score: 37.9704, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5771, kappa: 0.1282, kb_relative_information_score: 31.8334, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5797, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.5807, kappa: 0.1382, kb_relative_information_score: 33.9564, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5873, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.588, kappa: 0.1626, kb_relative_information_score: 29.6307, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5562, kappa: 0.0974, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5705, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.5944, kappa: 0.1737, kb_relative_information_score: 30.6321, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.5901, kappa: 0.1649, kb_relative_information_score: 32.8239, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6091, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.5954, kappa: 0.1748, kb_relative_information_score: 31.379, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5626, kappa: 0.1125, kb_relative_information_score: 80.7154, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5807, predictive_accuracy: 0.596, prior_entropy: 0.9816, 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: 0.6248, f_measure: 0.5604, kappa: 0.1241, kb_relative_information_score: 22.2323, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5562, kappa: 0.0974, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5705, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5782, kappa: 0.1333, kb_relative_information_score: 34.8666, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5849, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5707, kappa: 0.1236, kb_relative_information_score: 82.7907, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5837, predictive_accuracy: 0.598, prior_entropy: 0.9816, 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: 0.5456, f_measure: 0.5562, kappa: 0.0974, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5705, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.5854, kappa: 0.1522, kb_relative_information_score: 34.7466, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5987, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.574, kappa: 0.1234, kb_relative_information_score: 76.5648, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5785, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5857, kappa: 0.148, kb_relative_information_score: 34.5176, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5921, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.5799, kappa: 0.137, kb_relative_information_score: 32.1376, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5871, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.542, kappa: 0.101, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5941, predictive_accuracy: 0.602, prior_entropy: 0.9816, 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: 0.6339, f_measure: 0.5747, kappa: 0.1468, kb_relative_information_score: 28.0435, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6102, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5409, kappa: 0.082, kb_relative_information_score: 72.4142, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5687, predictive_accuracy: 0.588, prior_entropy: 0.9816, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.5735, kappa: 0.1325, kb_relative_information_score: 30.4678, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5912, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5857, kappa: 0.1494, kb_relative_information_score: 33.5986, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5941, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.574, kappa: 0.1234, kb_relative_information_score: 76.5648, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5785, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5898, kappa: 0.1552, kb_relative_information_score: 38.5546, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5841, kappa: 0.1457, kb_relative_information_score: 34.1823, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5918, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5612, kappa: 0.1176, kb_relative_information_score: 24.7595, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5893, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5756, kappa: 0.1258, kb_relative_information_score: 28.8159, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.5799, kappa: 0.1476, kb_relative_information_score: 27.8901, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6019, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5764, kappa: 0.127, kb_relative_information_score: 37.1408, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5794, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.5665, kappa: 0.1087, kb_relative_information_score: 70.3389, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5712, predictive_accuracy: 0.586, prior_entropy: 0.9816, 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: 0.5518, f_measure: 0.5665, kappa: 0.1087, kb_relative_information_score: 70.3389, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5712, predictive_accuracy: 0.586, prior_entropy: 0.9816, 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: 0.546, f_measure: 0.5498, kappa: 0.0998, kb_relative_information_score: 80.7154, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5809, predictive_accuracy: 0.596, prior_entropy: 0.9816, 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: 0.5976, f_measure: 0.5706, kappa: 0.116, kb_relative_information_score: 34.1956, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5743, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5903, kappa: 0.155, kb_relative_information_score: 34.6375, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5932, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5247, kappa: 0.0712, kb_relative_information_score: 74.4895, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.59, prior_entropy: 0.9816, 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: 0.5518, f_measure: 0.5665, kappa: 0.1087, kb_relative_information_score: 70.3389, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5712, predictive_accuracy: 0.586, prior_entropy: 0.9816, 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: 0.6262, f_measure: 0.5908, kappa: 0.1606, kb_relative_information_score: 32.8309, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6011, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.5859, kappa: 0.1602, kb_relative_information_score: 28.1789, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.61, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5467, kappa: 0.075, kb_relative_information_score: 59.9624, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.556, predictive_accuracy: 0.576, prior_entropy: 0.9816, 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: 0.6071, f_measure: 0.5975, kappa: 0.1695, kb_relative_information_score: 34.3956, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6002, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5437, kappa: 0.1023, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5934, predictive_accuracy: 0.602, prior_entropy: 0.9816, 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: 0.63, f_measure: 0.589, kappa: 0.1583, kb_relative_information_score: 33.9303, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6011, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5467, kappa: 0.075, kb_relative_information_score: 59.9624, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.556, predictive_accuracy: 0.576, prior_entropy: 0.9816, 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: 0.5466, f_measure: 0.5512, kappa: 0.1011, kb_relative_information_score: 80.7154, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5808, predictive_accuracy: 0.596, prior_entropy: 0.9816, 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: 0.6139, f_measure: 0.5966, kappa: 0.1701, kb_relative_information_score: 36.4467, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6037, predictive_accuracy: 0.614, prior_entropy: 0.9816, recall: 0.614, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5618, kappa: 0.1253, kb_relative_information_score: 23.5564, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5882, kappa: 0.1557, kb_relative_information_score: 35.0142, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5987, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5674, kappa: 0.1162, kb_relative_information_score: 78.6401, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5789, predictive_accuracy: 0.594, prior_entropy: 0.9816, 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,

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