OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
0 likes downloaded by 21 people , 45 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4580 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.7264, mean_absolute_error: 0.0634, 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: 0.1426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.3015, mean_absolute_error: 0.0601, 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: 0.1353, 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: 0.9769, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2715, 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: 0.1452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 134.8098, mean_absolute_error: 0.0555, 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: 0.1249, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8787, mean_absolute_error: 0.0627, 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: 0.1411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.1849, mean_absolute_error: 0.0612, 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: 0.1377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4007,
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: 0.9735, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.2058, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3225, 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: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.0745, mean_absolute_error: 0.0621, 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: 0.1397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6995, mean_absolute_error: 0.0672, 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: 0.1512, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6414, mean_absolute_error: 0.0636, 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: 0.143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3964,
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: 0.9741, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6009, mean_absolute_error: 0.0633, 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: 0.1425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.4962, mean_absolute_error: 0.0634, 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: 0.1426, 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: 0.9745, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6587, mean_absolute_error: 0.0668, 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: 0.1502, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.2561, mean_absolute_error: 0.0677, 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: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0154, mean_absolute_error: 0.0654, 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: 0.1471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.5098, 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: 0.1519, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.9375, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.9985, mean_absolute_error: 0.0621, 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: 0.1398, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.5682, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.8853, mean_absolute_error: 0.0657, 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: 0.1477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.4053, mean_absolute_error: 0.0719, 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: 0.1617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.197, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, kappa: 0.49, kb_relative_information_score: 2.7193, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.66, prior_entropy: 1.585, recall: 0.66, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 76.707, mean_absolute_error: 0.2731, 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: 0.6144, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, kappa: 0.49, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.66, prior_entropy: 1.585, recall: 0.66, 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: 0.9797, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.162, mean_absolute_error: 0.0641, 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: 0.1442, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1079, mean_absolute_error: 0.065, 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: 0.1461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3994,
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: 0.9748, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.2199, mean_absolute_error: 0.0606, 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: 0.1364, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, kappa: 0.49, kb_relative_information_score: 0.0541, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.66, prior_entropy: 1.585, recall: 0.66, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1168, mean_absolute_error: 0.0619, 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: 0.1392, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3912,
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: 0.9759, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.0794, mean_absolute_error: 0.0676, 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: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9204, kappa: 0.88, kb_relative_information_score: 67.7406, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9222, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.3316, mean_absolute_error: 0.0679, 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: 0.1527, 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: 0.9786, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.7539, mean_absolute_error: 0.0625, 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: 0.1407, 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: 0.9723, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0343, mean_absolute_error: 0.0625, 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: 0.1406, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.6344, mean_absolute_error: 0.0661, 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: 0.1488, 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: 0.9776, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.3114, mean_absolute_error: 0.0674, 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: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 133.3811, mean_absolute_error: 0.0605, 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: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.6452, mean_absolute_error: 0.0636, 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: 0.1431, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5847, mean_absolute_error: 0.0641, 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: 0.1441, 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: 0.9749, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6085, mean_absolute_error: 0.063, 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: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.3009, mean_absolute_error: 0.0612, 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: 0.1376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.8609, mean_absolute_error: 0.0617, 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: 0.1388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8388, mean_absolute_error: 0.0662, 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: 0.149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9889, mean_absolute_error: 0.0655, 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: 0.1473, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 129.9178, mean_absolute_error: 0.0716, 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: 0.1612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1148, mean_absolute_error: 0.0689, 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: 0.155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4136,
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: 0.9762, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6951, mean_absolute_error: 0.067, 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: 0.1507, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.0432, mean_absolute_error: 0.0621, 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: 0.1397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.5556, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.4772, mean_absolute_error: 0.0704, 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: 0.1584, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.8047, mean_absolute_error: 0.0648, 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: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.3283, 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: 0.1448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4012,
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: 0.9726, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.79, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.9627, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.0805, mean_absolute_error: 0.0654, 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: 0.1472, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2935, mean_absolute_error: 0.065, 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: 0.1461, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.6719, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1479, 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: 0.9724, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6054, mean_absolute_error: 0.0629, 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: 0.1415, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4022,
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: 0.9763, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 134.1083, mean_absolute_error: 0.0575, 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: 0.1294, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.6349, mean_absolute_error: 0.0673, 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: 0.1514, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3105, mean_absolute_error: 0.0653, 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: 0.1469, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.064, mean_absolute_error: 0.0647, 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: 0.1456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5937, mean_absolute_error: 0.0644, 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: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.211, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0947, mean_absolute_error: 0.0612, 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: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.8824, mean_absolute_error: 0.0665, 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: 0.1496, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0293, mean_absolute_error: 0.062, 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: 0.1394, 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: 0.9765, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 133.2465, mean_absolute_error: 0.0609, 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: 0.1371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4054, mean_absolute_error: 0.0603, 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: 0.1356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0211, mean_absolute_error: 0.0616, 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: 0.1387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9562, mean_absolute_error: 0.0661, 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: 0.1487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.3212, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1081, mean_absolute_error: 0.0656, 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: 0.1475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5251, mean_absolute_error: 0.0636, 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: 0.1432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.9106, mean_absolute_error: 0.0657, 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: 0.1479, 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: 0.9778, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.9824, mean_absolute_error: 0.0663, 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: 0.1491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.814, mean_absolute_error: 0.0707, 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: 0.1591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.9914, mean_absolute_error: 0.0583, 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: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.9724, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4028,
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: 0.9751, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 132.0282, mean_absolute_error: 0.0643, 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: 0.1448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4065,
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: 0.9743, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.8109, mean_absolute_error: 0.0633, 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: 0.1424, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3956, mean_absolute_error: 0.065, 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: 0.1462, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9371, 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: 0.1851, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2481, mean_absolute_error: 0.0652, 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: 0.1466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 129.4888, mean_absolute_error: 0.0743, 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: 0.1673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.94, mean_absolute_error: 0.0618, 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: 0.1391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4025,
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: 0.9799, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0376, mean_absolute_error: 0.0619, 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: 0.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.3376, mean_absolute_error: 0.0679, 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: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4097,

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