Task
Supervised Classification on analcatdata_lawsuit

Supervised Classification on analcatdata_lawsuit

Task 3542 Supervised Classification analcatdata_lawsuit 674 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 171.8151, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9621, kappa: 0.7164, kb_relative_information_score: 141.5872, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.385, recall: 0.9621, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 128.2779, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9732, kappa: 0.7966, kb_relative_information_score: 176.368, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9729, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9621, kappa: 0.7164, kb_relative_information_score: 139.8287, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.385, recall: 0.9621, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.968, kappa: 0.7488, kb_relative_information_score: 169.9445, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.968, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 195.8544, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 148.5762, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9574, kappa: 0.6481, kb_relative_information_score: 150.9723, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9604, predictive_accuracy: 0.9621, prior_entropy: 0.385, recall: 0.9621, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9783, kappa: 0.8449, kb_relative_information_score: 137.1011, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9805, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9554, kappa: 0.645, kb_relative_information_score: 134.079, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9549, predictive_accuracy: 0.9583, prior_entropy: 0.385, recall: 0.9583, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9783, kappa: 0.8449, kb_relative_information_score: 137.1011, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9805, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9663, kappa: 0.7508, kb_relative_information_score: 138.4369, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9255, kappa: 0.3311, kb_relative_information_score: 135.6234, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9465, predictive_accuracy: 0.9432, prior_entropy: 0.385, recall: 0.9432, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9778, kappa: 0.8377, kb_relative_information_score: 188.6916, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9787, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.129, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9469, kappa: 0.5506, kb_relative_information_score: 117.1805, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.952, predictive_accuracy: 0.9545, prior_entropy: 0.385, recall: 0.9545, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.8934, kb_relative_information_score: -5.1315, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9689, kappa: 0.7616, kb_relative_information_score: 150.9665, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9685, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 154.815, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 154.815, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 196.1753, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9663, kappa: 0.7508, kb_relative_information_score: 138.0413, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 162.177, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.9183, kappa: 0.2582, kb_relative_information_score: 96.1679, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9394, prior_entropy: 0.385, recall: 0.9394, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9663, kappa: 0.7508, kb_relative_information_score: 140.2477, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.9106, kappa: 0.1792, kb_relative_information_score: 86.1778, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9398, predictive_accuracy: 0.9356, prior_entropy: 0.385, recall: 0.9356, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 196.1753, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9588, kappa: 0.6955, kb_relative_information_score: -21.9642, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9594, predictive_accuracy: 0.9583, prior_entropy: 0.385, recall: 0.9583, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.7128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 191.7521, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 128.4977, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.9106, kappa: 0.1792, kb_relative_information_score: 86.1778, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9398, predictive_accuracy: 0.9356, prior_entropy: 0.385, recall: 0.9356, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9539, kappa: 0.6242, kb_relative_information_score: 112.1999, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9549, predictive_accuracy: 0.9583, prior_entropy: 0.385, recall: 0.9583, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9848, kappa: 0.8866, kb_relative_information_score: 176.4064, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.9354, kappa: 0.4398, kb_relative_information_score: 116.1482, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9428, predictive_accuracy: 0.947, prior_entropy: 0.385, recall: 0.947, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.891, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038, scimark_benchmark: 1360.7487, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.9354, kappa: 0.4398, kb_relative_information_score: 116.1482, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9428, predictive_accuracy: 0.947, prior_entropy: 0.385, recall: 0.947, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.891, scimark_benchmark: 1368.6957, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9808, kappa: 0.8547, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9807, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325, scimark_benchmark: 1363.0663, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 214.2031, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.4576, scimark_benchmark: 1918.4916, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9926, kappa: 0.9459, kb_relative_information_score: 214.6123, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9931, predictive_accuracy: 0.9924, prior_entropy: 0.385, recall: 0.9924, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3613, scimark_benchmark: 1918.4916, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9848, kappa: 0.8866, kb_relative_information_score: 216.0494, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.4763, scimark_benchmark: 1427.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 212.5723, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3837, scimark_benchmark: 1409.2183, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 177.464, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4345, scimark_benchmark: 1360.6915, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9663, kappa: 0.7508, kb_relative_information_score: 140.2477, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5926, scimark_benchmark: 1283.9256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.9183, kappa: 0.2582, kb_relative_information_score: 96.1679, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9394, prior_entropy: 0.385, recall: 0.9394, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9525, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9716, kappa: 0.7741, kb_relative_information_score: 186.079, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9726, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.63, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 214.8803, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3832, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 191.3606, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4932, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.9578, kappa: 0.6803, kb_relative_information_score: 142.3409, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9574, predictive_accuracy: 0.9583, prior_entropy: 0.385, recall: 0.9583, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.7866, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 212.014, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.4786, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 205.9832, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.4793, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 196.4111, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4839, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9848, kappa: 0.8866, kb_relative_information_score: 198.6215, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.455, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9621, kappa: 0.7164, kb_relative_information_score: 139.8287, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.385, recall: 0.9621, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5957, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 206.1654, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.475, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9663, kappa: 0.7508, kb_relative_information_score: 140.2477, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9668, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5926, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.9183, kappa: 0.2582, kb_relative_information_score: 96.1679, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9394, prior_entropy: 0.385, recall: 0.9394, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9525, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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