Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
0 likes downloaded by 22 people , 47 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: 0.9974, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.1925, mean_absolute_error: 0.059, 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: 0.1327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.5495, mean_absolute_error: 0.0692, 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: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.836, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.9462, mean_absolute_error: 0.06, 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: 0.1351, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -0.003, 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, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, kappa: 0.21, kb_relative_information_score: 0.4188, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.4733, prior_entropy: 1.585, recall: 0.4733, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, kb_relative_information_score: -0.0077, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.5359, mean_absolute_error: 0.0622, 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: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.5359, mean_absolute_error: 0.0622, 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: 0.1401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 130.5006, mean_absolute_error: 0.0759, 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: 0.1707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 124.2514, mean_absolute_error: 0.0988, 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: 0.2222, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 39.4124, mean_absolute_error: 0.3702, 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: 0.8329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, 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: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 134.6199, mean_absolute_error: 0.0567, 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: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.6864, mean_absolute_error: 0.0523, 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: 0.1177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.8978, mean_absolute_error: 0.0626, 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: 0.1409, 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: 0.9791, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8177, mean_absolute_error: 0.0627, 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: 0.1411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.9574, mean_absolute_error: 0.0679, 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: 0.1528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5965, mean_absolute_error: 0.0639, 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: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.9559, mean_absolute_error: 0.0696, 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: 0.1565, 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: 0.9731, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3459, 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: 0.1463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6099, mean_absolute_error: 0.0633, 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: 0.1425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1084, mean_absolute_error: 0.0651, 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: 0.1464, 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: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3628, mean_absolute_error: 0.0647, 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: 0.1457, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.3257, 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: 0.1518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1843, mean_absolute_error: 0.0648, 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: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1654, mean_absolute_error: 0.0615, 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: 0.1383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, 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: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, 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: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.0842, mean_absolute_error: 0.0375, 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: 0.0843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, 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: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.7606, mean_absolute_error: 0.0308, 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: 0.0693, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 65.1621, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9142, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 136.1717, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9542, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.2472, mean_absolute_error: 0.0642, 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: 0.1444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2112, mean_absolute_error: 0.0644, 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: 0.1448, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.5244, mean_absolute_error: 0.0707, 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: 0.1591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3671, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0601, 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: 0.1353, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6639, mean_absolute_error: 0.0536, 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: 0.1206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3572, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3586, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 110.1023, mean_absolute_error: 0.1529, 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: 0.344, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3586, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.3178, mean_absolute_error: 0.0517, 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: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3586, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.3178, mean_absolute_error: 0.0517, 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: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.3586, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.6615, mean_absolute_error: 0.0578, 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: 0.1302, 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: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.112, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 133.2452, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 137.2488, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 132.9478, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 136.2808, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 133.1876, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.0052, mean_absolute_error: 0.0526, 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: 0.1184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.5769, mean_absolute_error: 0.0648, 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: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.3198, mean_absolute_error: 0.0551, 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: 0.124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.0717, mean_absolute_error: 0.0593, 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: 0.1335, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 134.7446, mean_absolute_error: 0.0604, 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: 0.1359, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2856,

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