OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4581 runs submitted
0 likes downloaded by 21 people , 45 total downloads 0 issues
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4581 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 128.7361, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.7264, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.2624, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.1735, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.8928, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, kb_relative_information_score: 1.4065, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 125.587, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.6978, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.6655, kappa: 0.5, kb_relative_information_score: 83.9852, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.0504, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 126.5396, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9195, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.169, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1656, kb_relative_information_score: -0.0535, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1698, kb_relative_information_score: 0.1518, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.192, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 104.7381, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, kb_relative_information_score: 0.7944, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, kappa: 0.19, kb_relative_information_score: 9.361, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.46, prior_entropy: 1.585, recall: 0.46, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1629, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 124.5032, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 137.0939, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.799, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.3814, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.5918, kappa: 0.47, kb_relative_information_score: 55.5896, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6112, predictive_accuracy: 0.6467, prior_entropy: 1.585, recall: 0.6467, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.977, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8623, kappa: 0.8, kb_relative_information_score: 74.9392, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8867, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.6842, kappa: 0.53, kb_relative_information_score: 70.1825, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6829, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.5604, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.2669, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.919, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.92, kb_relative_information_score: 125.9478, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9472, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 106.5393, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.4494, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5344, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6559, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.4151, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5432, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, kb_relative_information_score: 0.8158, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9602, kappa: 0.94, kb_relative_information_score: 135.1405, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9608, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.6803, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.2446, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9465, kappa: 0.92, kb_relative_information_score: 129.6014, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9472, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.6775, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.3265, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, kappa: 0.29, kb_relative_information_score: 1.4681, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.5267, prior_entropy: 1.585, recall: 0.5267, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 131.2104, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.7029, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9129, kappa: 0.87, kb_relative_information_score: 124.3412, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9183, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 124.3781, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.717, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, kb_relative_information_score: -0.008, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.4317, kappa: 0.21, kb_relative_information_score: 21.0094, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4861, predictive_accuracy: 0.4733, prior_entropy: 1.585, recall: 0.4733, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.038, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.389, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.245, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.477, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.329, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, kappa: 0.5, kb_relative_information_score: 82.7817, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1665, kb_relative_information_score: 1.5637, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.9071, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 125.096, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9057, kappa: 0.86, kb_relative_information_score: 117.8274, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9167, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 126.6311, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 126.8802, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1653, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, kappa: 0.5, kb_relative_information_score: 44.4763, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.4973, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.2702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1379, kb_relative_information_score: 0.6418, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1648, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 137.2626, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 122.6437, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9142, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 131.0155, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 121.1325, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 135.6854, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.5916, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 129.7798, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9261, kappa: 0.89, kb_relative_information_score: 120.1514, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9271, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 137.0516, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.6175, kappa: 0.55, kb_relative_information_score: 44.753, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8251, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1679, kb_relative_information_score: 1.588, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.6981, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, kb_relative_information_score: 8.8745, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.2201, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 117.7984, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.1833, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 132.5248, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 65.4995, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, kb_relative_information_score: 3.2164, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1691, kb_relative_information_score: 4.0461, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.5668, kappa: 0.52, kb_relative_information_score: 36.23, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7922, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7184, kappa: 0.58, kb_relative_information_score: 78.63, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7199, predictive_accuracy: 0.72, prior_entropy: 1.585, recall: 0.72, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7522,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs