Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9505, kappa: 0.8935, kb_relative_information_score: 480.9497, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9511, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 505.3925, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9368, kappa: 0.8652, kb_relative_information_score: 476.4565, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9371, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.933, kappa: 0.8563, kb_relative_information_score: 485.2413, mean_absolute_error: 0.0663, 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: 0.1418, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9296, kappa: 0.8491, kb_relative_information_score: 481.6345, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 507.3179, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 515.2425, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9647, kappa: 0.9241, kb_relative_information_score: 519.8375, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9576, kappa: 0.9091, kb_relative_information_score: 512.333, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 507.4711, mean_absolute_error: 0.0499, 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: 0.1067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 532.3555, mean_absolute_error: 0.0294, 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: 0.0628, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.97, kappa: 0.9357, kb_relative_information_score: 506.8279, mean_absolute_error: 0.0544, 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: 0.1164, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9453, kappa: 0.8827, kb_relative_information_score: 503.7229, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9418, kappa: 0.8751, kb_relative_information_score: 493.9519, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 489.7608, mean_absolute_error: 0.0697, 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: 0.149, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9523, kappa: 0.8976, kb_relative_information_score: 467.2189, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: -0.1205, mean_absolute_error: 0.4677, 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: 1.0001, 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: 0.9849, f_measure: 0.9629, kappa: 0.9204, kb_relative_information_score: 507.0263, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9735, kappa: 0.9432, kb_relative_information_score: 512.5546, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9738, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.1045, 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: 0.9871, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 509.2071, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.97, kappa: 0.9357, kb_relative_information_score: 528.5077, mean_absolute_error: 0.0333, 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: 0.0711, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9386, kappa: 0.8688, kb_relative_information_score: 488.2744, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9347, kappa: 0.86, kb_relative_information_score: 486.3012, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.97, kappa: 0.9355, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9437, kappa: 0.8792, kb_relative_information_score: 494.9286, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9788, kappa: 0.9545, kb_relative_information_score: 542.405, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9794, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9665, kappa: 0.9281, kb_relative_information_score: 486.9932, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 488.4553, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9645, kappa: 0.9235, kb_relative_information_score: 524.8081, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9663, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 483.9271, mean_absolute_error: 0.0691, 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: 0.1478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 501.384, mean_absolute_error: 0.0536, 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: 0.1147, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 480.0221, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3836, scimark_benchmark: 1748.8645, usercpu_time_millis: 11.799, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 11.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 483.1043, mean_absolute_error: 0.0768, 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: 0.1643, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3728, scimark_benchmark: 1860.7926, usercpu_time_millis: 11.507, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 11.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 473.8744, mean_absolute_error: 0.0846, 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: 0.1808, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3903, scimark_benchmark: 1790.6141, usercpu_time_millis: 6.504, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 6.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 444.8907, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4259, scimark_benchmark: 1780.5239, usercpu_time_millis: 4.301, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 4.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9559, kappa: 0.9054, kb_relative_information_score: 477.9434, mean_absolute_error: 0.0825, 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: 0.1765, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3698, scimark_benchmark: 1790.1003, usercpu_time_millis: 5.387, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 477.6518, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3735, scimark_benchmark: 1740.1167, usercpu_time_millis: 4.3, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 4.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.93, kappa: 0.8511, kb_relative_information_score: 442.9114, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9309, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4557, scimark_benchmark: 1866.0766, usercpu_time_millis: 6.075, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 5.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 453.8092, mean_absolute_error: 0.1078, 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: 0.2305, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3872, scimark_benchmark: 1771.2169, usercpu_time_millis: 1.894, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 429.5425, mean_absolute_error: 0.1287, 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: 0.2752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4349, scimark_benchmark: 1782.4312, usercpu_time_millis: 1.408, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 466.3401, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3968, scimark_benchmark: 1857.1082, usercpu_time_millis: 2.709, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 417.7249, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4453, scimark_benchmark: 1769.5333, usercpu_time_millis: 1.871, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 438.4387, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4466, scimark_benchmark: 1763.1195, usercpu_time_millis: 0.709, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.661,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 477.4215, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3815, scimark_benchmark: 1763.0218, usercpu_time_millis: 2.325, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 2.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 465.536, mean_absolute_error: 0.0914, 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: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1761.1118, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9352, kappa: 0.8618, kb_relative_information_score: 439.8016, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9357, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4455, scimark_benchmark: 1698.2512, usercpu_time_millis: 4.019, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4838, kb_relative_information_score: 0.1467, mean_absolute_error: 0.4675, 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: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1724.2859, usercpu_time_millis: 1.209, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 388.3417, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4771, scimark_benchmark: 1767.803, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.178, mean_absolute_error: 0.4675, 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: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1829.0526, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9092, kappa: 0.804, kb_relative_information_score: 396.5804, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9113, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5141, scimark_benchmark: 1842.3578, usercpu_time_millis: 2.141, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 446.7794, mean_absolute_error: 0.1128, 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: 0.2412, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4123, scimark_benchmark: 1773.8207, usercpu_time_millis: 0.407, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9434, kappa: 0.8783, kb_relative_information_score: 354.7881, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5164, scimark_benchmark: 1759.3501, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9164, kappa: 0.8197, kb_relative_information_score: 402.0629, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9182, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.494, scimark_benchmark: 1836.0948, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1774, mean_absolute_error: 0.4675, 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: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1748.7861, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4838, kb_relative_information_score: 0.0441, mean_absolute_error: 0.4675, 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: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1821.1697, usercpu_time_millis: 0.164, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 462.6451, mean_absolute_error: 0.096, 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: 0.2053, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3968, scimark_benchmark: 1865.4965, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.2337, mean_absolute_error: 0.4674, 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: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1850.6652, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.2187, mean_absolute_error: 0.4675, 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: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1750.5952, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 472.1157, mean_absolute_error: 0.0857, 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: 0.1832, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3994, scimark_benchmark: 1753.2533, usercpu_time_millis: 19.535, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 19.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 461.9708, mean_absolute_error: 0.096, 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: 0.2053, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3999, scimark_benchmark: 1748.7515, usercpu_time_millis: 3.653, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 3.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 481.6921, mean_absolute_error: 0.0784, 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: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3711, scimark_benchmark: 1753.4232, usercpu_time_millis: 4.567, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 4.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.2031, mean_absolute_error: 0.0911, 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: 0.1949, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.414, scimark_benchmark: 1861.2508, usercpu_time_millis: 8.5, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 8.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 473.4997, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3841, scimark_benchmark: 1764.5969, usercpu_time_millis: 3.492, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 3.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 484.1036, mean_absolute_error: 0.0756, 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: 0.1616, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3754, scimark_benchmark: 1752.3472, usercpu_time_millis: 10.054, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 9.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 455.9336, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9408, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4214, scimark_benchmark: 1727.3879, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 4.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4838, kb_relative_information_score: 0.1748, mean_absolute_error: 0.4675, 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: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1749.9977, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 478.3963, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4304, scimark_benchmark: 1732.5541, usercpu_time_millis: 17.12, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 16.868,

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

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From your own software

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

OpenML APIs