OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19119 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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19119 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7921, kappa: 0.7706, kb_relative_information_score: 1510.7286, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7923, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3874, 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: 0.9855, f_measure: 0.854, kappa: 0.8378, kb_relative_information_score: 1692.1166, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8546, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8397, kappa: 0.8222, kb_relative_information_score: 28.7493, mean_absolute_error: 0.1793, 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: 0.9963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.6904, kappa: 0.6628, kb_relative_information_score: 1145.7533, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7235, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8409, kappa: 0.8233, kb_relative_information_score: 1641.7227, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1512, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8158, kappa: 0.7928, kb_relative_information_score: 1630.0077, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8196, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8032, kappa: 0.7817, kb_relative_information_score: 1497.9382, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8048, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, kappa: 0.3194, kb_relative_information_score: 5.6978, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3875, prior_entropy: 3.3219, recall: 0.3875, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8334, kappa: 0.8144, kb_relative_information_score: 1625.4254, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.834, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8209, kappa: 0.8022, kb_relative_information_score: 1527.6697, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8211, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7935, kappa: 0.7739, kb_relative_information_score: 9.7829, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.799, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.813, kappa: 0.7906, kb_relative_information_score: 1617.2088, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.815, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8217, kappa: 0.8028, kb_relative_information_score: 1638.925, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8214, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.7919, kappa: 0.7683, kb_relative_information_score: 1577.8605, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.793, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8192, kappa: 0.8, kb_relative_information_score: 1468.9814, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4339, 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: 0.9786, f_measure: 0.7927, kappa: 0.77, kb_relative_information_score: 1485.1671, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7946, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.4098, 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: 0.9573, f_measure: 0.7077, kappa: 0.7061, kb_relative_information_score: 924.955, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7585, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.7662, kappa: 0.7478, kb_relative_information_score: 1548.7133, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.3502, 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: 0.9863, f_measure: 0.8651, kappa: 0.85, kb_relative_information_score: 1679.5839, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8656, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8566, kappa: 0.8406, kb_relative_information_score: 1672.8871, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8575, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8532, kappa: 0.8372, kb_relative_information_score: 1728.5067, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8535, predictive_accuracy: 0.8535, prior_entropy: 3.3219, recall: 0.8535, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0711, kb_relative_information_score: 6.1512, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, 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: 0.981, f_measure: 0.8302, kappa: 0.8111, kb_relative_information_score: 1601.8651, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8442, kappa: 0.8267, kb_relative_information_score: 1673.7237, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, kappa: 0.1011, kb_relative_information_score: 7.7448, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, recall: 0.191, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
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: 0.5, kb_relative_information_score: 8.7998, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8029, kappa: 0.7817, kb_relative_information_score: 1631.6514, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.793, kappa: 0.7689, kb_relative_information_score: 1572.3938, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7956, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3096, 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: 0.9702, f_measure: 0.7774, kappa: 0.7522, kb_relative_information_score: 1504.9434, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8453, kappa: 0.8278, kb_relative_information_score: 1669.6352, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.846, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.7768, kappa: 0.7572, kb_relative_information_score: 1563.6661, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7757, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8363, kappa: 0.8189, kb_relative_information_score: 1668.0036, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8363, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8476, kappa: 0.83, kb_relative_information_score: 1641.1924, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8488, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.2922, 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: 0.9829, f_measure: 0.8358, kappa: 0.8189, kb_relative_information_score: 1510.578, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.4074, 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: 0.9602, kappa: 0.7306, kb_relative_information_score: 1064.8693, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7844, kappa: 0.7644, kb_relative_information_score: 1601.1017, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.787, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, kappa: 0.2822, kb_relative_information_score: 86.277, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.354, prior_entropy: 3.3219, recall: 0.354, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1508, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8459, kappa: 0.8289, kb_relative_information_score: 1648.7368, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 46.3144, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8299, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7501, kappa: 0.7161, kb_relative_information_score: 1452.8883, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.838, kappa: 0.8206, kb_relative_information_score: 1568.4618, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8386, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8203, kappa: 0.8011, kb_relative_information_score: 1560.3415, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8189, kappa: 0.7989, kb_relative_information_score: 1597.8087, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8203, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, kappa: 0.6139, kb_relative_information_score: 300.3819, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.6525, prior_entropy: 3.3219, recall: 0.6525, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8617, kappa: 0.8461, kb_relative_information_score: 1674.4108, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8624, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7897, kappa: 0.7683, kb_relative_information_score: 1545.2382, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7898, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8397, kappa: 0.8217, kb_relative_information_score: 44.2711, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8265, kappa: 0.805, kb_relative_information_score: 1658.6511, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8068, kappa: 0.7861, kb_relative_information_score: 1484.3589, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8083, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8314, kappa: 0.8133, kb_relative_information_score: 1665.3961, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.3047, kappa: 0.2589, kb_relative_information_score: 379.7932, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3263, predictive_accuracy: 0.333, prior_entropy: 3.3219, recall: 0.333, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0499, kb_relative_information_score: 14.7559, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, kappa: 0.1094, kb_relative_information_score: 1.989, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8411, kappa: 0.8233, kb_relative_information_score: 54.0839, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1651.6803, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8291, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2813, 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: 0.9768, f_measure: 0.8161, kappa: 0.7939, kb_relative_information_score: 1648.7463, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8189, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7489, kappa: 0.7206, kb_relative_information_score: 1473.984, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7495, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.837, kappa: 0.8194, kb_relative_information_score: 1569.996, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8545, kappa: 0.8389, kb_relative_information_score: 1696.3855, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8545, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2469, 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: 0.9831, 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: 0.9838, f_measure: 0.8467, kappa: 0.8289, kb_relative_information_score: 48.782, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8486, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8222, kappa: 0.8033, kb_relative_information_score: 1521.4191, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.834, kappa: 0.8156, kb_relative_information_score: 1603.8646, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, kappa: 0.2428, kb_relative_information_score: 196.7451, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3185, prior_entropy: 3.3219, recall: 0.3185, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8252, kappa: 0.8056, kb_relative_information_score: 1582.8428, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8265, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8151, kappa: 0.7967, kb_relative_information_score: 1373.565, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8152, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.7859, kappa: 0.7628, kb_relative_information_score: 1491.2873, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.787, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.3961, 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: 0.9815, f_measure: 0.837, kappa: 0.8183, kb_relative_information_score: 1626.6455, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8138, kappa: 0.7944, kb_relative_information_score: 1620.9512, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8142, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8501, kappa: 0.8339, kb_relative_information_score: 1687.2824, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8502, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.2537, 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: 0.5, kb_relative_information_score: 7.0317, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8265, kappa: 0.8072, kb_relative_information_score: 21.3821, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8292, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0507, kb_relative_information_score: 8.7731, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8126, kappa: 0.7928, kb_relative_information_score: 1571.6733, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8127, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8099, kappa: 0.7894, kb_relative_information_score: 1570.4627, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8106, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8357, kappa: 0.8178, kb_relative_information_score: 1652.1908, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 1574.6452, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.7855, kappa: 0.7622, kb_relative_information_score: 1513.0837, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7875, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.2635, kappa: 0.2133, kb_relative_information_score: 406.3835, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3372, predictive_accuracy: 0.292, prior_entropy: 3.3219, recall: 0.292, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 167.8329, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.7805, kappa: 0.7583, kb_relative_information_score: 1564.7162, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7801, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.3302, 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: 0.9819, f_measure: 0.8327, kappa: 0.8133, kb_relative_information_score: 48.5088, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7977, kappa: 0.7767, kb_relative_information_score: 1489.6424, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7985, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8084, kappa: 0.7867, kb_relative_information_score: 1572.5397, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.811, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8556, kappa: 0.8394, kb_relative_information_score: 1697.0473, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8561, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8464, kappa: 0.8289, kb_relative_information_score: 1665.2491, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8472, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, kappa: 0.6989, kb_relative_information_score: 923.874, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8497, kappa: 0.8328, kb_relative_information_score: 1645.1381, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8541, kappa: 0.8378, kb_relative_information_score: 1661.0741, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8549, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.79, kappa: 0.7678, kb_relative_information_score: 1545.9819, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7918, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8266, kappa: 0.8072, kb_relative_information_score: 1568.7696, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8689, kappa: 0.8544, kb_relative_information_score: 1710.1727, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4524,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs