Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

147945 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: 0.9945, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 514.3382, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7318, kappa: 0.4236, kb_relative_information_score: 163.039, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7966, predictive_accuracy: 0.761, prior_entropy: 0.953, recall: 0.761, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4838, kb_relative_information_score: -0.4452, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 512.0668, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9788, kappa: 0.9546, kb_relative_information_score: 513.7727, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9665, kappa: 0.928, kb_relative_information_score: 503.4357, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9788, kappa: 0.9546, kb_relative_information_score: 518.5941, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9575, kappa: 0.9086, kb_relative_information_score: 482.2809, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9585, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.943, kappa: 0.8769, kb_relative_information_score: 442.8256, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.946, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9646, kappa: 0.9238, kb_relative_information_score: 480.3738, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9656, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4838, kb_relative_information_score: -0.4452, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9285, kappa: 0.8483, kb_relative_information_score: 455.41, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9307, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.7401, kappa: 0.4348, kb_relative_information_score: 146.0426, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7505, predictive_accuracy: 0.7522, prior_entropy: 0.953, recall: 0.7522, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.424, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.961, kappa: 0.9162, kb_relative_information_score: 476.5352, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.962, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9593, kappa: 0.9123, kb_relative_information_score: 473.4715, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9604, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 508.4454, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9789, kappa: 0.9547, kb_relative_information_score: 511.511, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9806, kappa: 0.9584, kb_relative_information_score: 512.7874, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9809, predictive_accuracy: 0.9807, prior_entropy: 0.953, recall: 0.9807, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8528, kappa: 0.68, kb_relative_information_score: 316.3483, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8827, predictive_accuracy: 0.8612, prior_entropy: 0.953, recall: 0.8612, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9593, kappa: 0.9123, kb_relative_information_score: 471.9209, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9604, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9575, kappa: 0.9086, kb_relative_information_score: 483.3118, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9585, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8512, kappa: 0.6769, kb_relative_information_score: 296.0111, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8607, predictive_accuracy: 0.8559, prior_entropy: 0.953, recall: 0.8559, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9771, kappa: 0.951, kb_relative_information_score: 511.506, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9771, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4838, kb_relative_information_score: -0.4452, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9789, kappa: 0.9547, kb_relative_information_score: 511.4788, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 510.0755, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9447, kappa: 0.8806, kb_relative_information_score: 443.819, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.948, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 490.5093, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9183, kappa: 0.8281, kb_relative_information_score: 412.6154, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.924, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8127, kappa: 0.5929, kb_relative_information_score: 250.4447, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8426, predictive_accuracy: 0.8243, prior_entropy: 0.953, recall: 0.8243, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.6629, kappa: 0.2742, kb_relative_information_score: 88.3823, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.6993, predictive_accuracy: 0.6977, prior_entropy: 0.953, recall: 0.6977, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9611, kappa: 0.9163, kb_relative_information_score: 477.0303, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9618, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 503.2302, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 508.2566, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9701, kappa: 0.936, kb_relative_information_score: 504.1716, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9446, kappa: 0.8801, kb_relative_information_score: 438.9651, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9806, kappa: 0.9584, kb_relative_information_score: 513.3966, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9809, predictive_accuracy: 0.9807, prior_entropy: 0.953, recall: 0.9807, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 498.0417, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9322, kappa: 0.8535, kb_relative_information_score: 427.9735, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9356, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9788, kappa: 0.9545, kb_relative_information_score: 516.896, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9792, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9717, kappa: 0.9393, kb_relative_information_score: 508.1042, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9722, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 496.9485, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9545, kappa: 0.903, kb_relative_information_score: 471.0905, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.955, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8193, kappa: 0.6071, kb_relative_information_score: 255.9803, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8452, predictive_accuracy: 0.8295, prior_entropy: 0.953, recall: 0.8295, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: -0.4452, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9629, kappa: 0.9202, kb_relative_information_score: 491.1152, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9718, kappa: 0.9394, kb_relative_information_score: 507.4839, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9701, kappa: 0.9359, kb_relative_information_score: 505.0363, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.97, kappa: 0.9357, kb_relative_information_score: 505.3376, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9558, kappa: 0.9048, kb_relative_information_score: 481.5752, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9565, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0673, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9197, kappa: 0.8264, kb_relative_information_score: 401.1563, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9231, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7624, kappa: 0.4835, kb_relative_information_score: 166.887, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7845, predictive_accuracy: 0.7768, prior_entropy: 0.953, recall: 0.7768, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9301, kappa: 0.8516, kb_relative_information_score: 458.1983, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9317, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9285, kappa: 0.8483, kb_relative_information_score: 456.8785, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9307, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8496, kappa: 0.6938, kb_relative_information_score: 325.8723, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8784, predictive_accuracy: 0.8471, prior_entropy: 0.953, recall: 0.8471, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9527, kappa: 0.8994, kb_relative_information_score: 464.3962, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9534, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.206, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9614, kappa: 0.9178, kb_relative_information_score: 501.0652, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9618, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8606, kappa: 0.6969, kb_relative_information_score: 319.3082, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8893, predictive_accuracy: 0.8682, prior_entropy: 0.953, recall: 0.8682, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7287, kappa: 0.4164, kb_relative_information_score: 155.0825, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7888, predictive_accuracy: 0.7575, prior_entropy: 0.953, recall: 0.7575, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 492.7418, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9736, kappa: 0.9435, kb_relative_information_score: 508.7246, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 490.2073, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9593, kappa: 0.9123, kb_relative_information_score: 474.3378, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9604, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8589, kappa: 0.6931, kb_relative_information_score: 317.0925, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8865, predictive_accuracy: 0.8664, prior_entropy: 0.953, recall: 0.8664, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7413, kappa: 0.4418, kb_relative_information_score: 153.091, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7937, predictive_accuracy: 0.7663, prior_entropy: 0.953, recall: 0.7663, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 408.1862, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 406.3122, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 408.8787, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 406.4743, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 406.2784, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 406.4564, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 406.3158, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.947, kappa: 0.8861, kb_relative_information_score: 397.5625, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 506.0768, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.425, scimark_benchmark: 1867.725, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 493.8437, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3444, scimark_benchmark: 1873.0711, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9663, kappa: 0.9275, kb_relative_information_score: 490.7389, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9675, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3493, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 491.3169, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3484, scimark_benchmark: 1863.066, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 504.0331, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.336, scimark_benchmark: 790.0121, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 495.245, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3424, scimark_benchmark: 1861.4432, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 496.7969, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3404, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 491.3169, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3484, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 496.0076, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3414, scimark_benchmark: 1876.3693, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 507.1917, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.39, scimark_benchmark: 1860.9838, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 461.843, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4056, scimark_benchmark: 1845.3208, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9492, kappa: 0.8917, kb_relative_information_score: 452.1788, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9497, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4153, scimark_benchmark: 1848.388, usercpu_time_millis: 2.95, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 477.5751, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3849, scimark_benchmark: 1842.9183, usercpu_time_millis: 7.988, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 7.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1858.2522, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1862.0186, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.6776, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1864.0522, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.0766, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.218,

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