OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
0 likes downloaded by 24 people , 49 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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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.7468, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1657, kb_relative_information_score: 0.4728, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0068,
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: 0.9727, f_measure: 0.8665, kappa: 0.8, kb_relative_information_score: 109.8989, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5096,
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: 0.9737, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.4894, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9601, kappa: 0.94, kb_relative_information_score: 133.6314, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2926,
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: 0.9776, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6418, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.408,
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: 0.9719, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6563, mean_absolute_error: 0.0676, 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: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 121.2056, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.9799, mean_absolute_error: 0.0527, 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: 0.1186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1159, 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: 0.975, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.506, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1521, 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: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.8866, mean_absolute_error: 0.06, 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: 0.1349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2823,
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: 0.9745, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2202, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.8088, 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: 0.992, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.5469, mean_absolute_error: 0.0857, 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: 0.1929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3727,
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: 0.7944, 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: 0.8783, f_measure: 0.7298, kappa: 0.62, kb_relative_information_score: 72.6036, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7455, predictive_accuracy: 0.7467, prior_entropy: 1.585, recall: 0.7467, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.4322, mean_absolute_error: 0.0533, 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: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1095, mean_absolute_error: 0.0655, 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: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, 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: 0.9748, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.3701, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0989, kb_relative_information_score: 1.0221, 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: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.482, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 130.5917, mean_absolute_error: 0.0706, 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: 0.1589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4182,
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: 0.9723, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.9672, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.2326, kappa: 0.01, kb_relative_information_score: 0.7824, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1971, predictive_accuracy: 0.34, prior_entropy: 1.585, recall: 0.34, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 124.4838, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9361, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 128.9911, mean_absolute_error: 0.0809, 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: 0.1819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.2159, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 122.2368, mean_absolute_error: 0.1076, 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: 0.2422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 127.2468, mean_absolute_error: 0.0875, 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: 0.1968, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.6621, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4146,
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: 0.9753, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.2021, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 131.2873, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8548, kappa: 0.79, kb_relative_information_score: 85.8974, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8926, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 99.2459, mean_absolute_error: 0.1916, 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: 0.4311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9874, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.1781, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4054,
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: 0.9749, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1415, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9792, mean_absolute_error: 0.0563, 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: 0.1266, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.1455, mean_absolute_error: 0.0808, 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: 0.1817, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.7747, mean_absolute_error: 0.0692, 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: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2939,
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: 0.0971, kappa: -0.03, kb_relative_information_score: -0.1761, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3133, prior_entropy: 1.585, recall: 0.3133, relative_absolute_error: 1.0047, 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: 0.9474, f_measure: 0.8535, kappa: 0.79, kb_relative_information_score: 85.5992, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9014, predictive_accuracy: 0.86, prior_entropy: 1.585, recall: 0.86, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9283, mean_absolute_error: 0.056, 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: 0.126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 130.7406, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9237, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.6046, kappa: 0.54, kb_relative_information_score: 45.3739, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8231, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1102, mean_absolute_error: 0.0379, 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: 0.0854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9199, kappa: 0.88, kb_relative_information_score: 129.9587, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9216, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.9646, mean_absolute_error: 0.056, 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: 0.126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2749,
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: 0.9925, f_measure: 0.9071, kappa: 0.86, kb_relative_information_score: 108.2692, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9218, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0865, kb_relative_information_score: 0.8649, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2775, kappa: -0.5, kb_relative_information_score: -0.3125, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1668, kb_relative_information_score: 0.5409, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8344, mean_absolute_error: 0.0665, 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: 0.1497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.9887, mean_absolute_error: 0.0373, 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: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.5147, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6672, mean_absolute_error: 0.0677, 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: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, 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: 0.8331, f_measure: 0.7889, kappa: 0.71, kb_relative_information_score: 10.1667, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8776, predictive_accuracy: 0.8067, prior_entropy: 1.585, recall: 0.8067, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, 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: 0.9827, f_measure: 0.9066, kappa: 0.86, kb_relative_information_score: 121.4798, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9071, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.6104, mean_absolute_error: 0.0542, 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: 0.1219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2062, kappa: -0.5, kb_relative_information_score: -0.5057, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1974, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.9927, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.0737, mean_absolute_error: 0.0772, 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: 0.1737, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.164, root_relative_squared_error: 0.348,
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: 1.4049, 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: 0.9831, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 103.129, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9548, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0425, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8467, kappa: 0.77, kb_relative_information_score: 111.1655, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8467, predictive_accuracy: 0.8467, prior_entropy: 1.585, recall: 0.8467, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3125, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.2737, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3986,
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: 0.9978, 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: 0.5, 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: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.38, mean_absolute_error: 0.0677, 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: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 123.2081, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.927, kappa: 0.89, kb_relative_information_score: 126.9629, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.352, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.6179, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3877,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.9735, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.5216, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, kappa: 0.48, kb_relative_information_score: 31.1819, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6533, prior_entropy: 1.585, recall: 0.6533, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.4732, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.8287, mean_absolute_error: 0.0825, 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: 0.1856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8666, kappa: 0.8, kb_relative_information_score: 116.2652, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4793,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs