OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24077 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.5821, kappa: 0.5539, kb_relative_information_score: 1015.5309, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.693, predictive_accuracy: 0.5985, prior_entropy: 3.3219, recall: 0.5985, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.24, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8333, kappa: 0.8156, kb_relative_information_score: 1602.366, mean_absolute_error: 0.0588, 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: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8108, kappa: 0.7911, kb_relative_information_score: 1565.437, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8109, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8054, kappa: 0.7844, kb_relative_information_score: 1597.798, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8055, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.823, kappa: 0.8039, kb_relative_information_score: 1503.439, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8263, kappa: 0.8078, kb_relative_information_score: 1552.1516, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8032, kappa: 0.7822, kb_relative_information_score: 1511.18, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.798, kappa: 0.7772, kb_relative_information_score: 1573.1552, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8308, kappa: 0.8122, kb_relative_information_score: 1578.0796, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8314, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8238, kappa: 0.8044, kb_relative_information_score: 1606.376, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8149, kappa: 0.795, kb_relative_information_score: 1511.4152, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8154, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 20.2156, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8303, kappa: 0.8122, kb_relative_information_score: 1572.4974, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.7956, kappa: 0.7717, kb_relative_information_score: 1587.1042, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7981, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8241, kappa: 0.805, kb_relative_information_score: 1617.5245, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8247, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7736, kappa: 0.7656, kb_relative_information_score: 1603.7738, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7871, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8114, kappa: 0.79, kb_relative_information_score: 1546.5195, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8132, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8203, kappa: 0.8, kb_relative_information_score: 1592.4222, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.822, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8226, kappa: 0.8039, kb_relative_information_score: 1548.1585, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8226, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8375, kappa: 0.82, kb_relative_information_score: 1567.231, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8236, kappa: 0.8044, kb_relative_information_score: 1553.6052, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.823, kappa: 0.8044, kb_relative_information_score: 1578.3822, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8233, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 1519.3842, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8064, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8224, kappa: 0.8028, kb_relative_information_score: 1610.8798, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8234, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8211, kappa: 0.8017, kb_relative_information_score: 1575.8091, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.3426, 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: 0.9809, f_measure: 0.8181, kappa: 0.7989, kb_relative_information_score: 1519.7644, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7783, kappa: 0.755, kb_relative_information_score: 1504.3222, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7803, predictive_accuracy: 0.7795, prior_entropy: 3.3219, recall: 0.7795, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8231, kappa: 0.8056, kb_relative_information_score: 1429.9188, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8231, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8057, kappa: 0.7844, kb_relative_information_score: 1533.4962, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8069, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8287, kappa: 0.8106, kb_relative_information_score: 1564.8628, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8292, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8267, kappa: 0.8078, kb_relative_information_score: 1562.2342, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8274, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8143, kappa: 0.7944, kb_relative_information_score: 1498.3966, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8149, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8527, kappa: 0.8367, kb_relative_information_score: 1635.9275, mean_absolute_error: 0.0534, 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: 0.2967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8429, kappa: 0.8261, kb_relative_information_score: 1569.7187, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8108, kappa: 0.7889, kb_relative_information_score: 1591.6355, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.813, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7988, kappa: 0.7761, kb_relative_information_score: 1521.2154, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8009, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7992, kappa: 0.7778, kb_relative_information_score: 1531.3083, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8226, kappa: 0.8033, kb_relative_information_score: 1519.1963, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8069, kappa: 0.7867, kb_relative_information_score: 1419.9913, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8022, kappa: 0.7817, kb_relative_information_score: 1536.3185, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8024, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8307, kappa: 0.8122, kb_relative_information_score: 1621.0436, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8312, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8415, kappa: 0.8239, kb_relative_information_score: 1604.5972, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8296, kappa: 0.8111, kb_relative_information_score: 1523.8958, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8299, kappa: 0.8117, kb_relative_information_score: 1518.3998, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8295, kappa: 0.81, kb_relative_information_score: 1598.2749, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7902, kappa: 0.7667, kb_relative_information_score: 1510.6881, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8, kappa: 0.7772, kb_relative_information_score: 1551.4139, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8025, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8334, kappa: 0.815, kb_relative_information_score: 1604.1018, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.834, kappa: 0.815, kb_relative_information_score: 51.6614, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8317, kappa: 0.8133, kb_relative_information_score: 1606.2621, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8045, kappa: 0.7839, kb_relative_information_score: 1511.3315, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8055, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.7985, kappa: 0.7761, kb_relative_information_score: 1514.3385, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8001, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8431, kappa: 0.8261, kb_relative_information_score: 1627.7907, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8376, kappa: 0.82, kb_relative_information_score: 1554.7276, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8281, kappa: 0.8094, kb_relative_information_score: 1590.232, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8119, kappa: 0.7917, kb_relative_information_score: 1533.1474, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8037, kappa: 0.7839, kb_relative_information_score: 1465.5342, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8043, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8141, kappa: 0.7933, kb_relative_information_score: 1520.9662, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8152, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.813, kappa: 0.7933, kb_relative_information_score: 1538.5085, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8135, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8323, kappa: 0.8139, kb_relative_information_score: 1549.3366, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7995, kappa: 0.7728, kb_relative_information_score: 1617.4006, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8071, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8286, kappa: 0.8106, kb_relative_information_score: 1498.8171, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8294, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8218, kappa: 0.8028, kb_relative_information_score: 1522.8671, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8146, kappa: 0.7933, kb_relative_information_score: 1569.6691, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8274, kappa: 0.8083, kb_relative_information_score: 1566.487, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8197, kappa: 0.8, kb_relative_information_score: 1584.3175, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8046, kappa: 0.7839, kb_relative_information_score: 1566.1624, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8051, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8157, kappa: 0.7961, kb_relative_information_score: 1578.2228, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8159, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7811, kappa: 0.7578, kb_relative_information_score: 1506.2065, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7832, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7795, kappa: 0.7572, kb_relative_information_score: 1557.9218, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7793, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8388, kappa: 0.8206, kb_relative_information_score: 1614.7795, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8402, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8044, kappa: 0.7828, kb_relative_information_score: 1474.2405, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8061, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8028, kappa: 0.7811, kb_relative_information_score: 1529.9463, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8041, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8302, kappa: 0.8117, kb_relative_information_score: 1626.0069, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188, scimark_benchmark: 1776.533, usercpu_time_millis: 12930, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 12860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8198, kappa: 0.8, kb_relative_information_score: 1605.3483, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8155, kappa: 0.7961, kb_relative_information_score: 1486.559, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8157, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8314, kappa: 0.8139, kb_relative_information_score: 1552.6654, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.814, kappa: 0.7939, kb_relative_information_score: 1605.6549, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296, scimark_benchmark: 1642.6657, usercpu_time_millis: 10150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8113, kappa: 0.7911, kb_relative_information_score: 1551.4708, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8237, kappa: 0.8039, kb_relative_information_score: 1564.225, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7948, kappa: 0.7733, kb_relative_information_score: 1533.8346, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.3661, 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: 0.9816, f_measure: 0.8148, kappa: 0.7894, kb_relative_information_score: 1631.7611, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.7996, kappa: 0.7778, kb_relative_information_score: 1512.6031, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3876, 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: 0.9777, f_measure: 0.7886, kappa: 0.7656, kb_relative_information_score: 1492.6514, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7898, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8062, kappa: 0.785, kb_relative_information_score: 1518.0816, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7979, kappa: 0.7756, kb_relative_information_score: 1515.6844, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7994, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.815, kappa: 0.7933, kb_relative_information_score: 1580.5248, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8315, kappa: 0.8128, kb_relative_information_score: 1606.2927, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1541.6714, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.6032, kappa: 0.5511, kb_relative_information_score: 627.2744, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6658, predictive_accuracy: 0.596, prior_entropy: 3.3219, recall: 0.596, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8314, kappa: 0.8133, kb_relative_information_score: 1552.0182, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8296, kappa: 0.8111, kb_relative_information_score: 1576.3858, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8346, kappa: 0.8172, kb_relative_information_score: 1545.5842, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8142, kappa: 0.795, kb_relative_information_score: 1538.6961, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8141, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.7873, kappa: 0.765, kb_relative_information_score: 1508.6906, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7878, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8347, kappa: 0.8167, kb_relative_information_score: 1585.1616, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8215, kappa: 0.8028, kb_relative_information_score: 1541.2089, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8387, kappa: 0.8217, kb_relative_information_score: 1567.0488, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8203, kappa: 0.8006, kb_relative_information_score: 1530.2345, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8215, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8235, kappa: 0.8044, kb_relative_information_score: 1491.8299, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5588,

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

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

OpenML APIs