OpenML
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
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147945 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9205, kappa: 0.8294, kb_relative_information_score: 258.4891, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9207, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 452.3313, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -6.5525, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.938, kappa: 0.8665, kb_relative_information_score: 420.8389, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -2.7425, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -10.7885, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9412, kappa: 0.8732, kb_relative_information_score: 424.4998, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9439, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9089, kappa: 0.8056, kb_relative_information_score: 353.3284, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9093, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.277, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.0396, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.933, kappa: 0.8563, kb_relative_information_score: 410.294, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -47.3137, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9054, kappa: 0.7982, kb_relative_information_score: 387.6179, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9058, predictive_accuracy: 0.9051, prior_entropy: 0.953, recall: 0.9051, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -4.2277, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9109, kappa: 0.811, kb_relative_information_score: 288.0634, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9128, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 485.8761, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 442.1676, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.936, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 457.0672, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -4.0955, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8964, kappa: 0.7784, kb_relative_information_score: 351.4406, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8964, predictive_accuracy: 0.8963, prior_entropy: 0.953, recall: 0.8963, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -48.0403, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.05, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, kb_relative_information_score: -8.51, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9363, kappa: 0.8631, kb_relative_information_score: 418.8152, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9368, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 8.7616, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 24.9602, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9095, kappa: 0.8051, kb_relative_information_score: 362.3428, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9105, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -9.6912, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3027, kappa: -0.0008, kb_relative_information_score: -185.668, mean_absolute_error: 0.6028, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5309, predictive_accuracy: 0.3972, prior_entropy: 0.953, recall: 0.3972, relative_absolute_error: 1.289, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7764, root_relative_squared_error: 1.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -22.0861, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0216, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 3.4526, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9456, kappa: 0.884, kb_relative_information_score: 451.793, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9459, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 1.8657, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9541, kappa: 0.9015, kb_relative_information_score: 460.5462, mean_absolute_error: 0.1004, 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: 0.2147, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3027, kappa: -0.0008, kb_relative_information_score: -185.668, mean_absolute_error: 0.6028, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5309, predictive_accuracy: 0.3972, prior_entropy: 0.953, recall: 0.3972, relative_absolute_error: 1.289, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7764, root_relative_squared_error: 1.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8737, kappa: 0.7304, kb_relative_information_score: 338.0447, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.874, predictive_accuracy: 0.8735, prior_entropy: 0.953, recall: 0.8735, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -18.6583, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 1.4167, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 506.912, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 2.8767, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9559, kappa: 0.9054, kb_relative_information_score: 479.7493, mean_absolute_error: 0.0805, 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: 0.1721, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9059, kappa: 0.7971, kb_relative_information_score: 272.3326, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9071, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9162, kappa: 0.819, kb_relative_information_score: 252.7034, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.919, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9297, kappa: 0.8496, kb_relative_information_score: 390.1606, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9469, kappa: 0.8857, kb_relative_information_score: 423.8465, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9477, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -0.8386, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0008, 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: 0.4942, kb_relative_information_score: -6.1166, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3027, kappa: -0.0008, kb_relative_information_score: -80.6851, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5309, predictive_accuracy: 0.3972, prior_entropy: 0.953, recall: 0.3972, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -12.1845, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9195, kappa: 0.8287, kb_relative_information_score: 423.6228, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9205, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9489, kappa: 0.8905, kb_relative_information_score: 469.1178, mean_absolute_error: 0.0892, 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: 0.1908, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 20.2105, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8243, kappa: 0.6181, kb_relative_information_score: 138.6315, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8537, predictive_accuracy: 0.8348, prior_entropy: 0.953, recall: 0.8348, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -15.1542, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7835, kappa: 0.5331, kb_relative_information_score: 146.3617, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8512, predictive_accuracy: 0.8049, prior_entropy: 0.953, recall: 0.8049, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -49.828, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0518, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 18.7542, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -33.7219, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0338, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 36.8095, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -24.3723, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -6.1363, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 7.0031, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, kb_relative_information_score: 86.493, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9108, kappa: 0.8072, kb_relative_information_score: 321.3707, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9137, predictive_accuracy: 0.9121, prior_entropy: 0.953, recall: 0.9121, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9115, kappa: 0.8095, kb_relative_information_score: 269.3217, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.912, predictive_accuracy: 0.9121, prior_entropy: 0.953, recall: 0.9121, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9292, kappa: 0.8476, kb_relative_information_score: 330.6855, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9299, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 440.9405, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9384, kappa: 0.8681, kb_relative_information_score: 402.8022, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9347, kappa: 0.8597, kb_relative_information_score: 447.3796, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2333, 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: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, kb_relative_information_score: 59.8567, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -12.6084, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 472.0856, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9343, kappa: 0.8583, kb_relative_information_score: 409.975, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9359, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9453, kappa: 0.8825, kb_relative_information_score: 456.6753, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 13.4609, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.9094, kappa: 0.8047, kb_relative_information_score: 370.6711, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9107, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9487, kappa: 0.8898, kb_relative_information_score: 473.8506, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -19.8027, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -28.548, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7314, kappa: 0.4404, kb_relative_information_score: 227.8599, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7435, predictive_accuracy: 0.7276, prior_entropy: 0.953, recall: 0.7276, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0795,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8782, kappa: 0.7352, kb_relative_information_score: 147.1757, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9021, predictive_accuracy: 0.884, prior_entropy: 0.953, recall: 0.884, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.939, kappa: 0.8708, kb_relative_information_score: 457.3695, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9416, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -119.8606, mean_absolute_error: 0.5369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.1481, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1494,

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