Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 19542 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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19542 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8878, kappa: 0.875, kb_relative_information_score: 1764.7046, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8882, predictive_accuracy: 0.8875, prior_entropy: 3.3219, recall: 0.8875, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8929, kappa: 0.8806, kb_relative_information_score: 1775.1621, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8936, predictive_accuracy: 0.8925, prior_entropy: 3.3219, recall: 0.8925, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.4955, kappa: 0.4628, kb_relative_information_score: 1050.324, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6072, predictive_accuracy: 0.5165, prior_entropy: 3.3219, recall: 0.5165, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8596, kappa: 0.8439, kb_relative_information_score: 1704.8615, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8601, predictive_accuracy: 0.8595, prior_entropy: 3.3219, recall: 0.8595, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8798, kappa: 0.8661, kb_relative_information_score: 1755.7741, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8811, predictive_accuracy: 0.8795, prior_entropy: 3.3219, recall: 0.8795, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8455, kappa: 0.8272, kb_relative_information_score: 1677.3899, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8469, kappa: 0.8289, kb_relative_information_score: 1681.9914, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8493, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.85, kappa: 0.8333, kb_relative_information_score: 1680.7739, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8513, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.841, kappa: 0.8222, kb_relative_information_score: 1670.715, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.843, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8657, kappa: 0.8506, kb_relative_information_score: 1732.0662, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8666, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8655, kappa: 0.85, kb_relative_information_score: 1728.5034, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8665, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8636, kappa: 0.8483, kb_relative_information_score: 1720.8901, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8642, predictive_accuracy: 0.8635, prior_entropy: 3.3219, recall: 0.8635, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8578, kappa: 0.8417, kb_relative_information_score: 1709.4135, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8595, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8463, kappa: 0.8283, kb_relative_information_score: 1679.3317, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8484, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2083, 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: 0.9607, f_measure: 0.8818, kappa: 0.8683, kb_relative_information_score: 1757.077, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8836, predictive_accuracy: 0.8815, prior_entropy: 3.3219, recall: 0.8815, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8794, kappa: 0.8656, kb_relative_information_score: 1753.0092, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8805, predictive_accuracy: 0.879, prior_entropy: 3.3219, recall: 0.879, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8779, kappa: 0.8639, kb_relative_information_score: 1749.7677, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.879, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8814, kappa: 0.8678, kb_relative_information_score: 1756.4546, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.883, predictive_accuracy: 0.881, prior_entropy: 3.3219, recall: 0.881, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8729, kappa: 0.8583, kb_relative_information_score: 1738.9359, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8746, predictive_accuracy: 0.8725, prior_entropy: 3.3219, recall: 0.8725, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8879, kappa: 0.875, kb_relative_information_score: 1768.5533, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8893, predictive_accuracy: 0.8875, prior_entropy: 3.3219, recall: 0.8875, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8788, kappa: 0.865, kb_relative_information_score: 1757.6289, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8795, predictive_accuracy: 0.8785, prior_entropy: 3.3219, recall: 0.8785, relative_absolute_error: 0.1471, 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: 0.9497, f_measure: 0.8831, kappa: 0.8694, kb_relative_information_score: 1762.486, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8849, predictive_accuracy: 0.8825, prior_entropy: 3.3219, recall: 0.8825, relative_absolute_error: 0.1395, 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: 0.97, f_measure: 0.8507, kappa: 0.8339, kb_relative_information_score: 1687.4356, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8526, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.1999, 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: 0.9601, f_measure: 0.8581, kappa: 0.8422, kb_relative_information_score: 1723.4606, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8589, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8738, kappa: 0.8594, kb_relative_information_score: 1742.7671, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.875, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.841, kappa: 0.8222, kb_relative_information_score: 1670.7992, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8432, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8774, kappa: 0.8633, kb_relative_information_score: 1747.8888, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8785, predictive_accuracy: 0.877, prior_entropy: 3.3219, recall: 0.877, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8416, kappa: 0.8228, kb_relative_information_score: 1670.1481, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8443, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.214, 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: 0.966, f_measure: 0.8642, kappa: 0.8489, kb_relative_information_score: 1717.1132, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 3.3219, recall: 0.864, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8762, kappa: 0.8622, kb_relative_information_score: 1754.8163, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8768, predictive_accuracy: 0.876, prior_entropy: 3.3219, recall: 0.876, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8535, kappa: 0.8372, kb_relative_information_score: 1685.8418, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8548, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8536, kappa: 0.8372, kb_relative_information_score: 1693.8656, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8551, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8826, kappa: 0.8689, kb_relative_information_score: 1764.1042, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8845, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8724, kappa: 0.8578, kb_relative_information_score: 1739.1139, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8736, predictive_accuracy: 0.872, prior_entropy: 3.3219, recall: 0.872, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8411, kappa: 0.8222, kb_relative_information_score: 1671.798, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8437, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8845, kappa: 0.8711, kb_relative_information_score: 1769.652, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.886, predictive_accuracy: 0.884, prior_entropy: 3.3219, recall: 0.884, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8636, kappa: 0.8483, kb_relative_information_score: 1718.8106, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8641, predictive_accuracy: 0.8635, prior_entropy: 3.3219, recall: 0.8635, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8646, kappa: 0.8494, kb_relative_information_score: 1729.2002, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8655, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1682, 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: 0.9697, f_measure: 0.849, kappa: 0.8322, kb_relative_information_score: 1682.4057, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8678, kappa: 0.8528, kb_relative_information_score: 1732, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8689, predictive_accuracy: 0.8675, prior_entropy: 3.3219, recall: 0.8675, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8641, kappa: 0.8483, kb_relative_information_score: 1729.6905, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.866, predictive_accuracy: 0.8635, prior_entropy: 3.3219, recall: 0.8635, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.869, kappa: 0.8539, kb_relative_information_score: 1740.4971, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8708, predictive_accuracy: 0.8685, prior_entropy: 3.3219, recall: 0.8685, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8672, kappa: 0.8522, kb_relative_information_score: 1731.8355, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8682, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8406, kappa: 0.8217, kb_relative_information_score: 1669.8085, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.843, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8564, kappa: 0.84, kb_relative_information_score: 1703.1826, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8586, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8576, kappa: 0.8417, kb_relative_information_score: 1699.0808, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.858, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8607, kappa: 0.845, kb_relative_information_score: 1706.6669, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8617, predictive_accuracy: 0.8605, prior_entropy: 3.3219, recall: 0.8605, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.857, kappa: 0.8406, kb_relative_information_score: 1704.4167, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8591, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8519, kappa: 0.8356, kb_relative_information_score: 1682.7246, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8533, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8464, kappa: 0.8283, kb_relative_information_score: 1680.1075, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8488, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8584, kappa: 0.8422, kb_relative_information_score: 1710.5257, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.86, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8484, kappa: 0.8306, kb_relative_information_score: 1681.6368, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8758, kappa: 0.8617, kb_relative_information_score: 1744.7502, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8766, predictive_accuracy: 0.8755, prior_entropy: 3.3219, recall: 0.8755, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8657, kappa: 0.8506, kb_relative_information_score: 1729.3154, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8669, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.85, kappa: 0.8333, kb_relative_information_score: 1680.4463, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8512, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8621, kappa: 0.8467, kb_relative_information_score: 1709.4259, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.863, predictive_accuracy: 0.862, prior_entropy: 3.3219, recall: 0.862, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8662, kappa: 0.8511, kb_relative_information_score: 1712.6329, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8672, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8757, kappa: 0.8611, kb_relative_information_score: 1750.0263, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8784, predictive_accuracy: 0.875, prior_entropy: 3.3219, recall: 0.875, relative_absolute_error: 0.1495, 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: 0.9634, f_measure: 0.8584, kappa: 0.8422, kb_relative_information_score: 1706.745, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8603, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8687, kappa: 0.8539, kb_relative_information_score: 1736.4826, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8697, predictive_accuracy: 0.8685, prior_entropy: 3.3219, recall: 0.8685, relative_absolute_error: 0.1616, 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: 0.9608, f_measure: 0.8626, kappa: 0.8472, kb_relative_information_score: 1717.8466, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8636, predictive_accuracy: 0.8625, prior_entropy: 3.3219, recall: 0.8625, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8702, kappa: 0.8556, kb_relative_information_score: 1733.8631, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8712, predictive_accuracy: 0.87, prior_entropy: 3.3219, recall: 0.87, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8526, kappa: 0.8356, kb_relative_information_score: 1697.1536, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8547, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8596, kappa: 0.8439, kb_relative_information_score: 1704.5453, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8602, predictive_accuracy: 0.8595, prior_entropy: 3.3219, recall: 0.8595, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8712, kappa: 0.8567, kb_relative_information_score: 1740.1734, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.872, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8421, kappa: 0.8233, kb_relative_information_score: 1672.3063, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8447, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8691, kappa: 0.8544, kb_relative_information_score: 1738.0797, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8699, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.863, kappa: 0.8478, kb_relative_information_score: 1723.2782, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8637, predictive_accuracy: 0.863, prior_entropy: 3.3219, recall: 0.863, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8416, kappa: 0.8228, kb_relative_information_score: 1668.8592, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8442, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8788, kappa: 0.865, kb_relative_information_score: 1752.922, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8796, predictive_accuracy: 0.8785, prior_entropy: 3.3219, recall: 0.8785, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8798, kappa: 0.8661, kb_relative_information_score: 1759.5831, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8807, predictive_accuracy: 0.8795, prior_entropy: 3.3219, recall: 0.8795, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8448, kappa: 0.8267, kb_relative_information_score: 1675.7521, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.858, kappa: 0.8422, kb_relative_information_score: 1702.192, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8667, kappa: 0.8517, kb_relative_information_score: 1733.1283, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8676, predictive_accuracy: 0.8665, prior_entropy: 3.3219, recall: 0.8665, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.85, kappa: 0.8333, kb_relative_information_score: 1681.9543, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2041, 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: 0.9567, f_measure: 0.8754, kappa: 0.8611, kb_relative_information_score: 1742.1269, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8766, predictive_accuracy: 0.875, prior_entropy: 3.3219, recall: 0.875, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8822, kappa: 0.8689, kb_relative_information_score: 1752.5285, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8434, kappa: 0.825, kb_relative_information_score: 1676.4183, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8454, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.2097, 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: 0.958, f_measure: 0.8778, kappa: 0.8639, kb_relative_information_score: 1749.7755, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.879, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8662, kappa: 0.8511, kb_relative_information_score: 1731.1967, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8672, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8525, kappa: 0.8356, kb_relative_information_score: 1694.6609, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8545, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.1947, 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: 0.9563, f_measure: 0.8789, kappa: 0.865, kb_relative_information_score: 1751.2121, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8807, predictive_accuracy: 0.8785, prior_entropy: 3.3219, recall: 0.8785, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.848, kappa: 0.8311, kb_relative_information_score: 1678.2432, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8493, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8616, kappa: 0.8461, kb_relative_information_score: 1719.6569, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8622, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8702, kappa: 0.8556, kb_relative_information_score: 1736.707, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8711, predictive_accuracy: 0.87, prior_entropy: 3.3219, recall: 0.87, relative_absolute_error: 0.163, 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: 0.9664, f_measure: 0.8444, kappa: 0.8261, kb_relative_information_score: 1679.009, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8478, kappa: 0.83, kb_relative_information_score: 1681.0159, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8497, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8646, kappa: 0.8494, kb_relative_information_score: 1725.356, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8652, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8503, kappa: 0.8333, kb_relative_information_score: 1684.5311, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8784, kappa: 0.8644, kb_relative_information_score: 1746.7077, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8795, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.1529, 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: 0.9619, f_measure: 0.8621, kappa: 0.8467, kb_relative_information_score: 1718.6489, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8631, predictive_accuracy: 0.862, prior_entropy: 3.3219, recall: 0.862, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8558, kappa: 0.8394, kb_relative_information_score: 1699.4973, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8568, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8703, kappa: 0.8556, kb_relative_information_score: 1737.2146, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8716, predictive_accuracy: 0.87, prior_entropy: 3.3219, recall: 0.87, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8691, kappa: 0.8544, kb_relative_information_score: 1736.6159, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.87, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1626, 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: 0.9685, f_measure: 0.8547, kappa: 0.8383, kb_relative_information_score: 1693.4899, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8562, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8497, kappa: 0.8328, kb_relative_information_score: 1675.8747, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8511, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8518, kappa: 0.835, kb_relative_information_score: 1687.6217, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8536, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8687, kappa: 0.8539, kb_relative_information_score: 1734.4189, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8699, predictive_accuracy: 0.8685, prior_entropy: 3.3219, recall: 0.8685, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4684,

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