OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4567 runs submitted
0 likes downloaded by 21 people , 45 total downloads 0 issues
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4567 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 131.1943, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1537, 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: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1273, mean_absolute_error: 0.0658, 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: 0.148, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.432, mean_absolute_error: 0.0666, 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: 0.1499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3389, mean_absolute_error: 0.0372, 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: 0.0837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.0623, mean_absolute_error: 0.0347, 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: 0.078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8511, mean_absolute_error: 0.0436, 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: 0.098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.5604, mean_absolute_error: 0.0333, 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: 0.075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.0435, 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: 0.1474, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3373, mean_absolute_error: 0.0651, 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: 0.1464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.9879, 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: 0.1938, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.2791, 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: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.8797, mean_absolute_error: 0.0665, 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: 0.1495, 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: 0.9757, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.8078, mean_absolute_error: 0.0621, 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: 0.1396, 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: 0.9786, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.7785, mean_absolute_error: 0.0663, 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: 0.1491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4008,
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: 0.9796, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.3336, mean_absolute_error: 0.0645, 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: 0.1452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.744, 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: 0.1882, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.754, mean_absolute_error: 0.0635, 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: 0.1428, 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: 0.9757, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6222, mean_absolute_error: 0.0665, 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: 0.1496, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.606, 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: 0.1515, 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: 0.9735, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8486, mean_absolute_error: 0.0659, 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: 0.1483, 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: 0.9735, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.7625, mean_absolute_error: 0.0697, 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: 0.1569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.7508, mean_absolute_error: 0.0587, 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: 0.1321, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.277, 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: 0.1897, root_relative_squared_error: 0.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.6454, mean_absolute_error: 0.0599, 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: 0.1348, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 130.8076, mean_absolute_error: 0.0695, 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: 0.1563, 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: 0.9768, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.9154, mean_absolute_error: 0.0689, 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: 0.155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 132.064, mean_absolute_error: 0.0645, 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: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 130.7058, mean_absolute_error: 0.0702, 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: 0.1579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.9204, 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: 0.1556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.166, mean_absolute_error: 0.0617, 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: 0.1389, 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: 0.9779, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.2187, mean_absolute_error: 0.0672, 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: 0.1512, 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: 0.9761, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1198, mean_absolute_error: 0.0692, 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: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.2309, mean_absolute_error: 0.0682, 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: 0.1535, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9465, mean_absolute_error: 0.0621, 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: 0.1398, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.6651, mean_absolute_error: 0.0591, 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: 0.1331, 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: 0.9798, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 132.1443, mean_absolute_error: 0.064, 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: 0.1441, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8741, 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: 0.1907, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.469, mean_absolute_error: 0.0636, 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: 0.1431, 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: 0.9772, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.8382, mean_absolute_error: 0.063, 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: 0.1417, 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: 0.9773, 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: 0.9786, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.4411, 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: 0.1441, 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: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6852, mean_absolute_error: 0.0632, 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: 0.1422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.9743, mean_absolute_error: 0.0625, 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: 0.1407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.7091, mean_absolute_error: 0.0705, 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: 0.1586, 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: 0.9713, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.3745, mean_absolute_error: 0.0681, 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: 0.1532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 132.3446, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.08, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, 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: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.6711, mean_absolute_error: 0.0667, 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: 0.15, 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: 0.9724, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.8816, mean_absolute_error: 0.0652, 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: 0.1468, 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: 0.9727, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 133.1522, mean_absolute_error: 0.0612, 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: 0.1378, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3868, mean_absolute_error: 0.0641, 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: 0.1443, 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: 0.9753, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0671, mean_absolute_error: 0.0621, 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: 0.1397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3932,
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: 0.9714, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 129.7567, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.975, mean_absolute_error: 0.069, 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: 0.1554, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.4249, 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: 0.1865, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.3968, mean_absolute_error: 0.0622, 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: 0.1399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8131, mean_absolute_error: 0.0628, 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: 0.1413, 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: 0.9749, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.4516, mean_absolute_error: 0.0611, 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: 0.1374, 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: 0.9779, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.7526, mean_absolute_error: 0.0674, 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: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.6458, mean_absolute_error: 0.0692, 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: 0.1556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8188, mean_absolute_error: 0.0661, 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: 0.1487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.3479, mean_absolute_error: 0.0674, 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: 0.1517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.4077, 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: 0.1427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 129.9547, mean_absolute_error: 0.0731, 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: 0.1644, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.4581, mean_absolute_error: 0.0638, 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: 0.1435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.3946, 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: 0.1438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.6028, mean_absolute_error: 0.0708, 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: 0.1592, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.4065, mean_absolute_error: 0.0608, 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: 0.1369, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.075, mean_absolute_error: 0.0615, 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: 0.1384, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.2883, mean_absolute_error: 0.0646, 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: 0.1454, 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: 0.9744, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.9471, mean_absolute_error: 0.0588, 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: 0.1324, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.378, mean_absolute_error: 0.0676, 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: 0.152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.7393, mean_absolute_error: 0.0665, 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: 0.1496, 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: 0.9745, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.4138, mean_absolute_error: 0.0641, 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: 0.1441, 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: 0.9737, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.3957, mean_absolute_error: 0.0679, 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: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.3458, mean_absolute_error: 0.0651, 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: 0.1464, 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: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.6866, mean_absolute_error: 0.071, 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: 0.1598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.422, 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: 0.1873, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2304, 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: 0.1449, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.6083, mean_absolute_error: 0.0645, 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: 0.1451, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.1013, 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: 0.1459, 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: 0.9779, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.8941, mean_absolute_error: 0.0674, 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: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 130.62, mean_absolute_error: 0.0711, 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: 0.1599, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.8393, mean_absolute_error: 0.0662, 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: 0.1489, 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: 0.9786, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.678, mean_absolute_error: 0.0672, 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: 0.1511, 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: 0.9794, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.6817, mean_absolute_error: 0.0653, 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: 0.1469, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 128.8349, mean_absolute_error: 0.0759, 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: 0.1707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.7049, 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: 0.1895, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.2775, 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: 0.1904, root_relative_squared_error: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.3751, mean_absolute_error: 0.0681, 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: 0.1531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.266, 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: 0.1611, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.1725, mean_absolute_error: 0.0605, 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: 0.1361, 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: 0.9771, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.5779, mean_absolute_error: 0.0664, 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: 0.1493, 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: 0.9761, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.9792, mean_absolute_error: 0.0652, 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: 0.1468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.1946, 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: 0.1933, root_relative_squared_error: 0.4102,

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

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

OpenML APIs