OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.7676, kappa: 0.7428, kb_relative_information_score: 1522.0544, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.769, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8562, kappa: 0.84, kb_relative_information_score: 1726.2838, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8546, kappa: 0.8389, kb_relative_information_score: 1702.0675, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8546, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.855, kappa: 0.8389, kb_relative_information_score: 1660.0603, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8557, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7557, kappa: 0.7606, kb_relative_information_score: 1579.2281, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8016, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3823, kb_relative_information_score: 15.5042, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0511, kb_relative_information_score: 14.7568, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7676, kappa: 0.7472, kb_relative_information_score: 1524.646, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8524, kappa: 0.8356, kb_relative_information_score: 1718.7606, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8529, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8509, kappa: 0.8339, kb_relative_information_score: 1650.1267, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8519, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.6613, kappa: 0.66, kb_relative_information_score: 570.1421, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8666, kappa: 0.8517, kb_relative_information_score: 1687.4498, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.867, predictive_accuracy: 0.8665, prior_entropy: 3.3219, recall: 0.8665, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7562, kappa: 0.7589, kb_relative_information_score: 1578.4545, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8559, kappa: 0.84, kb_relative_information_score: 1689.9693, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, kappa: 0.6244, kb_relative_information_score: 598.3503, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 5.7966, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8513, kappa: 0.835, kb_relative_information_score: 1687.9758, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8389, kappa: 0.8222, kb_relative_information_score: 1666.9786, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8514, kappa: 0.8344, kb_relative_information_score: 1648.6857, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8523, predictive_accuracy: 0.851, prior_entropy: 3.3219, recall: 0.851, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.5568, kappa: 0.5417, kb_relative_information_score: 706.6628, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.727, predictive_accuracy: 0.5875, prior_entropy: 3.3219, recall: 0.5875, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8706, kappa: 0.8561, kb_relative_information_score: 1697.4678, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8711, predictive_accuracy: 0.8705, prior_entropy: 3.3219, recall: 0.8705, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8523, kappa: 0.8361, kb_relative_information_score: 1687.522, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8526, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.7741, kappa: 0.765, kb_relative_information_score: 1616.8889, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7869, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1736, kb_relative_information_score: 18.9092, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8333, kappa: 0.8156, kb_relative_information_score: 1662.4143, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 5.6966, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, kappa: 0.4556, kb_relative_information_score: 255.6495, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.51, prior_entropy: 3.3219, recall: 0.51, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.5595, kappa: 0.5683, kb_relative_information_score: 415.0504, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7031, predictive_accuracy: 0.6115, prior_entropy: 3.3219, recall: 0.6115, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0501, kappa: -0.11, kb_relative_information_score: 5.9631, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.001, prior_entropy: 3.3219, recall: 0.001, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.857, kappa: 0.8411, kb_relative_information_score: 1683.2254, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8575, predictive_accuracy: 0.857, prior_entropy: 3.3219, recall: 0.857, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8528, kappa: 0.8367, kb_relative_information_score: 1686.3079, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.853, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, kb_relative_information_score: 2.4254, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.049, kb_relative_information_score: 2.6088, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8671, kappa: 0.8522, kb_relative_information_score: 1735.2321, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8674, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.5703, kappa: 0.5467, kb_relative_information_score: 743.7864, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.623, predictive_accuracy: 0.592, prior_entropy: 3.3219, recall: 0.592, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8487, kappa: 0.8317, kb_relative_information_score: 1644.8718, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8494, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.5723, kappa: 0.5178, kb_relative_information_score: 1096.8972, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5866, predictive_accuracy: 0.566, prior_entropy: 3.3219, recall: 0.566, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8486, kappa: 0.8322, kb_relative_information_score: 1681.8594, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, kappa: 0.3783, kb_relative_information_score: 425.9753, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.4405, prior_entropy: 3.3219, recall: 0.4405, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7894, kappa: 0.7656, kb_relative_information_score: 1566.7769, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7903, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5697, scimark_benchmark: 1482.5757, usercpu_time_millis: 1430, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.4852, kappa: 0.4206, kb_relative_information_score: 598.9149, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5626, predictive_accuracy: 0.4785, prior_entropy: 3.3219, recall: 0.4785, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7811, kappa: 0.7583, kb_relative_information_score: 1613.308, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7807, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8671, kappa: 0.8522, kb_relative_information_score: 1699.2093, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8677, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8694, kappa: 0.8544, kb_relative_information_score: 1689.6758, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8701, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 5.2087, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.7842, kappa: 0.7639, kb_relative_information_score: 1623.4994, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7846, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8363, kappa: 0.8189, kb_relative_information_score: 1668.0036, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8363, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8656, kappa: 0.8506, kb_relative_information_score: 1679.9105, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8661, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7592, kappa: 0.7322, kb_relative_information_score: 1472.3482, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7659, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0507, kb_relative_information_score: 8.7731, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7548, kappa: 0.7578, kb_relative_information_score: 1568.8755, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7879, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8533, kappa: 0.8367, kb_relative_information_score: 1653.8741, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8544, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8345, kappa: 0.8172, kb_relative_information_score: 1660.1179, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8499, kappa: 0.8328, kb_relative_information_score: 1641.1398, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8509, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8649, kappa: 0.8494, kb_relative_information_score: 1705.6061, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8659, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.7701, kappa: 0.7733, kb_relative_information_score: 1609.3106, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0711, kb_relative_information_score: 6.1512, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8772, kappa: 0.8633, kb_relative_information_score: 1720.331, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8777, predictive_accuracy: 0.877, prior_entropy: 3.3219, recall: 0.877, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0495, kb_relative_information_score: 2.7293, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.7682, kappa: 0.7422, kb_relative_information_score: 1522.6916, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7706, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, kappa: 0.39, kb_relative_information_score: 30.4821, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.451, prior_entropy: 3.3219, recall: 0.451, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7812, kappa: 0.7606, kb_relative_information_score: 1581.7173, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7836, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0508, kb_relative_information_score: 9.0524, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7697, kappa: 0.7456, kb_relative_information_score: 1540.3107, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7698, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.7737, kappa: 0.7644, kb_relative_information_score: 1586.1048, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.783, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8541, kappa: 0.8378, kb_relative_information_score: 1661.0741, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8549, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.5463, kappa: 0.5217, kb_relative_information_score: 681.0807, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5515, predictive_accuracy: 0.5695, prior_entropy: 3.3219, recall: 0.5695, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, kappa: 0.4211, kb_relative_information_score: 57.836, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.479, prior_entropy: 3.3219, recall: 0.479, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7909, kappa: 0.7706, kb_relative_information_score: 1626.1861, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0503, kappa: -0.0061, kb_relative_information_score: 7.404, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0945, prior_entropy: 3.3219, recall: 0.0945, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8551, kappa: 0.8394, kb_relative_information_score: 1690.9302, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8551, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8467, kappa: 0.8294, kb_relative_information_score: 1643.4883, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8475, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, kappa: 0.0994, kb_relative_information_score: 12.2886, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1895, prior_entropy: 3.3219, recall: 0.1895, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8681, kappa: 0.8533, kb_relative_information_score: 1683.7273, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8687, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7769, kappa: 0.7528, kb_relative_information_score: 1542.3302, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7784, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7777, kappa: 0.7556, kb_relative_information_score: 1620.0462, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7771, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.786, kappa: 0.7672, kb_relative_information_score: 1614.0094, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7889, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8563, kappa: 0.8406, kb_relative_information_score: 1702.6621, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.7909, kappa: 0.7717, kb_relative_information_score: 1602.2727, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7905, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.7291, kappa: 0.7344, kb_relative_information_score: 1174.8591, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7093, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1666.039, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8627, kappa: 0.8472, kb_relative_information_score: 1673.5916, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8634, predictive_accuracy: 0.8625, prior_entropy: 3.3219, recall: 0.8625, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.873, kappa: 0.8589, kb_relative_information_score: 1733.614, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8731, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7612, kappa: 0.7367, kb_relative_information_score: 1529.9082, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8318, kappa: 0.8139, kb_relative_information_score: 1667.2435, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.832, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8319, kappa: 0.8144, kb_relative_information_score: 1660.0737, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8318, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.7587, kappa: 0.755, kb_relative_information_score: 1510.5032, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7749, predictive_accuracy: 0.7795, prior_entropy: 3.3219, recall: 0.7795, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8556, kappa: 0.8394, kb_relative_information_score: 1697.0473, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8561, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8283, kappa: 0.8106, kb_relative_information_score: 1654.4918, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.7594, kappa: 0.7511, kb_relative_information_score: 1560.0108, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.77, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8425, kappa: 0.8256, kb_relative_information_score: 1677.93, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8452, kappa: 0.8283, kb_relative_information_score: 1696.7737, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8457, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.868, kappa: 0.8533, kb_relative_information_score: 1686.0941, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8683, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8783, kappa: 0.8644, kb_relative_information_score: 1721.6396, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8789, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8585, kappa: 0.8428, kb_relative_information_score: 1682.0051, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8592, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, kappa: 0.2128, kb_relative_information_score: 12.8864, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.2915, prior_entropy: 3.3219, recall: 0.2915, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8555, kappa: 0.84, kb_relative_information_score: 1695.1978, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4702,

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

OpenML bootcamp

From your own software

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

OpenML APIs