Task
Supervised Classification on OVA_Lung

Supervised Classification on OVA_Lung

Task 3964 Supervised Classification OVA_Lung 190 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9598, kappa: 0.7072, kb_relative_information_score: 828.836, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9633, predictive_accuracy: 0.9638, prior_entropy: 0.4095, recall: 0.9638, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.9808, kappa: 0.8685, kb_relative_information_score: 1183.8493, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9808, predictive_accuracy: 0.9812, prior_entropy: 0.4095, recall: 0.9812, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.972, kappa: 0.8074, kb_relative_information_score: 1051.0266, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9718, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9839, kappa: 0.8891, kb_relative_information_score: 1202.3054, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9843, predictive_accuracy: 0.9845, prior_entropy: 0.4095, recall: 0.9845, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9801, kappa: 0.8645, kb_relative_information_score: 1264.6307, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9801, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.8794, kb_relative_information_score: 11.0609, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9804, kappa: 0.8644, kb_relative_information_score: 640.0412, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9809, predictive_accuracy: 0.9812, prior_entropy: 0.4095, recall: 0.9812, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9658, kappa: 0.7718, kb_relative_information_score: 1055.1309, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.4095, recall: 0.9657, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.8794, kb_relative_information_score: -298.9685, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9773, kappa: 0.8482, kb_relative_information_score: 1214.1526, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.975, kappa: 0.8309, kb_relative_information_score: 1180.9804, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9748, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9437, kappa: 0.6617, kb_relative_information_score: 672.566, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.9385, prior_entropy: 0.4095, recall: 0.9385, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.248, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.986, kappa: 0.9033, kb_relative_information_score: 1352.3743, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.4095, recall: 0.9864, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.8794, kb_relative_information_score: 27.0659, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9751, kappa: 0.827, kb_relative_information_score: 1106.0971, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9753, predictive_accuracy: 0.9761, prior_entropy: 0.4095, recall: 0.9761, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9771, kappa: 0.8416, kb_relative_information_score: 1213.5146, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9774, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.8794, kb_relative_information_score: 35.8016, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9777, kappa: 0.8498, kb_relative_information_score: 1217.4087, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9776, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.5235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.9726, kappa: 0.8159, kb_relative_information_score: 1155.8688, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9725, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8794, kb_relative_information_score: 390.1967, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9836, kappa: 0.8892, kb_relative_information_score: 1223.1928, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.4095, recall: 0.9838, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9786, kappa: 0.8521, kb_relative_information_score: 1114.7135, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9787, predictive_accuracy: 0.9793, prior_entropy: 0.4095, recall: 0.9793, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0123, kb_relative_information_score: -8229.9519, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.0067, predictive_accuracy: 0.0816, prior_entropy: 0.4095, recall: 0.0816, relative_absolute_error: 3.3276, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.5, root_relative_squared_error: 1.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9638, kappa: 0.7544, kb_relative_information_score: 1033.2824, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9634, predictive_accuracy: 0.9644, prior_entropy: 0.4095, recall: 0.9644, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.956, kappa: 0.7247, kb_relative_information_score: 871.936, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9609, predictive_accuracy: 0.9534, prior_entropy: 0.4095, recall: 0.9534, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9846, kappa: 0.8933, kb_relative_information_score: 1079.2202, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.4095, recall: 0.9851, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9812, kappa: 0.8706, kb_relative_information_score: 1072.7539, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9815, predictive_accuracy: 0.9819, prior_entropy: 0.4095, recall: 0.9819, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.4784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9811, kappa: 0.8686, kb_relative_information_score: 1279.3546, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9817, predictive_accuracy: 0.9819, prior_entropy: 0.4095, recall: 0.9819, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9853, kappa: 0.8983, kb_relative_information_score: 1332.7741, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9857, predictive_accuracy: 0.9858, prior_entropy: 0.4095, recall: 0.9858, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.119, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9791, kappa: 0.8587, kb_relative_information_score: 1078.7427, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9789, predictive_accuracy: 0.9793, prior_entropy: 0.4095, recall: 0.9793, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.9722, kappa: 0.8103, kb_relative_information_score: 1100.8019, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9719, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8794, kb_relative_information_score: 390.1967, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9633, kappa: 0.7706, kb_relative_information_score: 818.7394, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9679, predictive_accuracy: 0.9612, prior_entropy: 0.4095, recall: 0.9612, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9853, kappa: 0.8991, kb_relative_information_score: 1320.2087, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9856, predictive_accuracy: 0.9858, prior_entropy: 0.4095, recall: 0.9858, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9592, kappa: 0.7411, kb_relative_information_score: 936.7179, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9726, kappa: 0.8159, kb_relative_information_score: 1101.8494, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9725, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.9695, kappa: 0.7922, kb_relative_information_score: 1079.2554, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9692, predictive_accuracy: 0.9702, prior_entropy: 0.4095, recall: 0.9702, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9803, kappa: 0.8623, kb_relative_information_score: 1078.098, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.4095, recall: 0.9812, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9796, kappa: 0.8569, kb_relative_information_score: 1052.6399, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.4784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9788, kappa: 0.8516, kb_relative_information_score: 1001.6577, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.4095, recall: 0.9799, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9729, kappa: 0.8071, kb_relative_information_score: 982.9528, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.4095, recall: 0.9748, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.952, kappa: 0.6402, kb_relative_information_score: 490.0778, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9604, predictive_accuracy: 0.9586, prior_entropy: 0.4095, recall: 0.9586, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9736, kappa: 0.8128, kb_relative_information_score: 909.9878, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9697, kappa: 0.7819, kb_relative_information_score: 859.5465, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9726, predictive_accuracy: 0.9722, prior_entropy: 0.4095, recall: 0.9722, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9659, kappa: 0.7534, kb_relative_information_score: 803.4398, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9691, predictive_accuracy: 0.9689, prior_entropy: 0.4095, recall: 0.9689, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9724, kappa: 0.8131, kb_relative_information_score: 1081.7984, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9722, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9763, kappa: 0.8386, kb_relative_information_score: 1074.0016, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.4095, recall: 0.9767, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.986, kappa: 0.9041, kb_relative_information_score: 1158.9838, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9863, predictive_accuracy: 0.9864, prior_entropy: 0.4095, recall: 0.9864, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9508, kappa: 0.6324, kb_relative_information_score: 275.6592, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9578, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9787, kappa: 0.8544, kb_relative_information_score: 1097.14, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9787, predictive_accuracy: 0.9793, prior_entropy: 0.4095, recall: 0.9793, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9625, kappa: 0.7257, kb_relative_information_score: 770.0628, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.967, predictive_accuracy: 0.9663, prior_entropy: 0.4095, recall: 0.9663, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9549, kappa: 0.665, kb_relative_information_score: 706.7134, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9615, predictive_accuracy: 0.9605, prior_entropy: 0.4095, recall: 0.9605, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8794, kb_relative_information_score: -9.6577, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9731, kappa: 0.8183, kb_relative_information_score: 880.0897, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9729, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9484, kappa: 0.6104, kb_relative_information_score: 626.7299, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.958, predictive_accuracy: 0.956, prior_entropy: 0.4095, recall: 0.956, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9359, kappa: 0.5051, kb_relative_information_score: 536.5621, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9504, predictive_accuracy: 0.9476, prior_entropy: 0.4095, recall: 0.9476, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.9167, kappa: 0.437, kb_relative_information_score: 383.3323, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9157, predictive_accuracy: 0.9178, prior_entropy: 0.4095, recall: 0.9178, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2859, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9174, kappa: 0.3442, kb_relative_information_score: 456.2744, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9407, predictive_accuracy: 0.9366, prior_entropy: 0.4095, recall: 0.9366, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.199, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9842, kappa: 0.8924, kb_relative_information_score: 1153.7101, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.4095, recall: 0.9845, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9115, kappa: 0.2909, kb_relative_information_score: 375.7281, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9378, predictive_accuracy: 0.9333, prior_entropy: 0.4095, recall: 0.9333, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8794, kb_relative_information_score: 2.6771, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9362, kappa: 0.6352, kb_relative_information_score: 451.7854, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9538, predictive_accuracy: 0.9282, prior_entropy: 0.4095, recall: 0.9282, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.205, root_relative_squared_error: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9699, kappa: 0.8053, kb_relative_information_score: 980.3541, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9715, predictive_accuracy: 0.9689, prior_entropy: 0.4095, recall: 0.9689, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9773, kappa: 0.8441, kb_relative_information_score: 1119.8611, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9773, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9719, kappa: 0.8021, kb_relative_information_score: 1050.6657, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9727, kappa: 0.8127, kb_relative_information_score: 1106.9824, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9725, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9719, kappa: 0.8021, kb_relative_information_score: 1050.6657, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9719, kappa: 0.8021, kb_relative_information_score: 1050.6657, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9719, kappa: 0.8021, kb_relative_information_score: 1050.6657, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.9719, kappa: 0.8021, kb_relative_information_score: 1050.6657, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.4095, recall: 0.9735, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9794, kappa: 0.8595, kb_relative_information_score: 1185.9046, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.4095, recall: 0.9799, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.9772, kappa: 0.8429, kb_relative_information_score: 1228.1959, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9773, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.9814, kappa: 0.8726, kb_relative_information_score: 1232.3874, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9814, predictive_accuracy: 0.9819, prior_entropy: 0.4095, recall: 0.9819, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9688, kappa: 0.7869, kb_relative_information_score: 941.2279, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9685, predictive_accuracy: 0.9696, prior_entropy: 0.4095, recall: 0.9696, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.9797, kappa: 0.8626, kb_relative_information_score: 1210.4446, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9795, predictive_accuracy: 0.9799, prior_entropy: 0.4095, recall: 0.9799, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.9043, kappa: 0.3447, kb_relative_information_score: 226.2403, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.902, predictive_accuracy: 0.9068, prior_entropy: 0.4095, recall: 0.9068, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.3053, root_relative_squared_error: 1.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9756, kappa: 0.8297, kb_relative_information_score: 1217.6099, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.4095, recall: 0.9767, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9771, kappa: 0.846, kb_relative_information_score: 1202.7835, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9803, kappa: 0.8665, kb_relative_information_score: 1230.6872, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9802, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9786, kappa: 0.8533, kb_relative_information_score: 1263.2935, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9787, predictive_accuracy: 0.9793, prior_entropy: 0.4095, recall: 0.9793, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.881, kappa: 0.0145, kb_relative_information_score: 266.9798, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9256, predictive_accuracy: 0.9191, prior_entropy: 0.4095, recall: 0.9191, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.9716, kappa: 0.8065, kb_relative_information_score: 1110.6772, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9713, predictive_accuracy: 0.9722, prior_entropy: 0.4095, recall: 0.9722, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9676, kappa: 0.7747, kb_relative_information_score: 1097.0078, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9675, predictive_accuracy: 0.9689, prior_entropy: 0.4095, recall: 0.9689, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9676, kappa: 0.7747, kb_relative_information_score: 1097.0078, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9675, predictive_accuracy: 0.9689, prior_entropy: 0.4095, recall: 0.9689, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9418, kappa: 0.5554, kb_relative_information_score: 630.2834, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.9515, prior_entropy: 0.4095, recall: 0.9515, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9772, kappa: 0.8509, kb_relative_information_score: 1210.2339, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.978, predictive_accuracy: 0.9767, prior_entropy: 0.4095, recall: 0.9767, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.9759, kappa: 0.8297, kb_relative_information_score: 1219.0873, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9637, kappa: 0.7615, kb_relative_information_score: 978.217, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9644, predictive_accuracy: 0.9631, prior_entropy: 0.4095, recall: 0.9631, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.956, kappa: 0.6749, kb_relative_information_score: 232.2889, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9616, predictive_accuracy: 0.9612, prior_entropy: 0.4095, recall: 0.9612, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9794, kappa: 0.8595, kb_relative_information_score: 1159.3945, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.4095, recall: 0.9799, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.138, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9771, kappa: 0.846, kb_relative_information_score: 1219.0873, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9624, kappa: 0.7531, kb_relative_information_score: 972.6959, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9632, predictive_accuracy: 0.9618, prior_entropy: 0.4095, recall: 0.9618, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9748, kappa: 0.8284, kb_relative_information_score: 1016.8462, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9747, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8794, kb_relative_information_score: -8122.2983, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 3.2628, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9826, kappa: 0.8798, kb_relative_information_score: 1003.0855, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9829, predictive_accuracy: 0.9832, prior_entropy: 0.4095, recall: 0.9832, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9756, kappa: 0.8348, kb_relative_information_score: 1077.9929, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9754, predictive_accuracy: 0.9761, prior_entropy: 0.4095, recall: 0.9761, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9753, kappa: 0.8346, kb_relative_information_score: 1083.827, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9752, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9738, kappa: 0.8191, kb_relative_information_score: 985.8422, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9739, predictive_accuracy: 0.9748, prior_entropy: 0.4095, recall: 0.9748, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9831, kappa: 0.8831, kb_relative_information_score: 1281.0676, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.4095, recall: 0.9838, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0123, kb_relative_information_score: -11387.3361, mean_absolute_error: 0.9184, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.0067, predictive_accuracy: 0.0816, prior_entropy: 0.4095, recall: 0.0816, relative_absolute_error: 6.1125, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.9584, root_relative_squared_error: 3.5017,

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