OpenML
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: 0.9848, f_measure: 0.9438, kappa: 0.8797, kb_relative_information_score: 460.7739, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4282, scimark_benchmark: 1373.419, usercpu_time_millis: 5.96, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 5.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9576, kappa: 0.9091, kb_relative_information_score: 482.9843, mean_absolute_error: 0.076, 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: 0.1626, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.379, scimark_benchmark: 1373.0618, usercpu_time_millis: 4.643, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9217, kappa: 0.831, kb_relative_information_score: 404.7773, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9238, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4795, scimark_benchmark: 1373.9977, usercpu_time_millis: 2.959, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 473.9212, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.423, scimark_benchmark: 1371.8183, usercpu_time_millis: 1.709, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.931, kappa: 0.8515, kb_relative_information_score: 420.0784, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9316, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4557, scimark_benchmark: 1371.4334, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 456.1289, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067, scimark_benchmark: 1372.3415, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 481.8345, mean_absolute_error: 0.0781, 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: 0.1669, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3737, scimark_benchmark: 1738.3571, usercpu_time_millis: 10.192, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 9.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1223, 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: 1764.5191, usercpu_time_millis: 0.674, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 473.1396, mean_absolute_error: 0.0848, 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: 0.1814, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3968, scimark_benchmark: 1456.1579, usercpu_time_millis: 20.926, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 20.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 463.0741, mean_absolute_error: 0.0937, 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: 0.2003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4096, scimark_benchmark: 1408.4526, usercpu_time_millis: 3.619, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 3.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 477.3234, mean_absolute_error: 0.0825, 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: 0.1765, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.375, scimark_benchmark: 1367.513, usercpu_time_millis: 5.155, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 4.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.954, kappa: 0.9011, kb_relative_information_score: 372.8662, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9547, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4911, scimark_benchmark: 1368.9997, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9115, kappa: 0.8079, kb_relative_information_score: 259.1865, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9212, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6514, scimark_benchmark: 1362.5454, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 411.6872, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9251, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4701, scimark_benchmark: 1363.8295, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 478.3987, mean_absolute_error: 0.0801, 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: 0.1712, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3866, scimark_benchmark: 1368.9783, usercpu_time_millis: 1.532, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 475.8662, mean_absolute_error: 0.0857, 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: 0.1833, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3629, scimark_benchmark: 1365.2428, usercpu_time_millis: 3.653, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9367, kappa: 0.8644, kb_relative_information_score: 453.2577, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4444, scimark_benchmark: 1371.1159, usercpu_time_millis: 7.537, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 7.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 481.2989, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3712, scimark_benchmark: 1353.4439, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 3.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 465.8684, mean_absolute_error: 0.0911, 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: 0.1947, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4073, scimark_benchmark: 1362.5212, usercpu_time_millis: 14.726, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 14.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 479.1014, mean_absolute_error: 0.0814, 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: 0.174, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3682, scimark_benchmark: 1363.8663, usercpu_time_millis: 2.473, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 397.9222, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9424, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4704, scimark_benchmark: 1370.6264, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9665, kappa: 0.928, kb_relative_information_score: 482.0109, mean_absolute_error: 0.08, 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: 0.1712, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3537, scimark_benchmark: 1366.3193, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 452.9499, mean_absolute_error: 0.1041, 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: 0.2227, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4156, scimark_benchmark: 1364.121, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.0929, 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: 1370.4985, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 484.1895, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.369, scimark_benchmark: 1335.1677, usercpu_time_millis: 4.806, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 4.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: -0.0583, 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, scimark_benchmark: 1362.3155, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 466.7618, mean_absolute_error: 0.0909, 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: 0.1943, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4003, scimark_benchmark: 1364.8115, usercpu_time_millis: 9.37, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 9.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9273, kappa: 0.8433, kb_relative_information_score: 409.1122, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9284, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4745, scimark_benchmark: 1352.9368, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 484.2563, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.371, scimark_benchmark: 1369.9581, usercpu_time_millis: 19.953, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 19.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 463.9695, mean_absolute_error: 0.0946, 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: 0.2022, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3951, scimark_benchmark: 1361.9714, usercpu_time_millis: 2.009, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 471.3204, mean_absolute_error: 0.0861, 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: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4025, scimark_benchmark: 1360.5217, usercpu_time_millis: 3.49, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 3.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 481.0788, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3701, scimark_benchmark: 1364.3584, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1516, 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: 1372.8011, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9489, kappa: 0.8905, kb_relative_information_score: 460.019, mean_absolute_error: 0.0992, 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: 0.2121, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953, scimark_benchmark: 1364.4497, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 477.9739, mean_absolute_error: 0.0803, 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: 0.1718, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3916, scimark_benchmark: 1359.8029, usercpu_time_millis: 14.365, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 14.105,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 470.558, mean_absolute_error: 0.0887, 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: 0.1897, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3846, scimark_benchmark: 1368.1943, usercpu_time_millis: 4.078, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 3.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.1042, mean_absolute_error: 0.0943, 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: 0.2017, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953, scimark_benchmark: 1368.3255, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9291, kappa: 0.8473, kb_relative_information_score: 411.5685, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9301, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4705, scimark_benchmark: 1359.833, usercpu_time_millis: 1.557, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9251, kappa: 0.8381, kb_relative_information_score: 362.2783, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9283, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5142, scimark_benchmark: 1369.1393, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 477.1705, mean_absolute_error: 0.0821, 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: 0.1756, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3817, scimark_benchmark: 1364.5394, usercpu_time_millis: 13.833, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 13.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 439.0163, mean_absolute_error: 0.1201, 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: 0.2568, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4211, scimark_benchmark: 1366.4152, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4838, kb_relative_information_score: 0.2876, 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: 0.9994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1369.9741, usercpu_time_millis: 0.636, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 448.4423, mean_absolute_error: 0.1092, 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: 0.2336, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.42, scimark_benchmark: 1367.336, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 478.008, mean_absolute_error: 0.0818, 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: 0.175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3739, scimark_benchmark: 1376.9672, usercpu_time_millis: 6.238, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 6.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.2343, mean_absolute_error: 0.0917, 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: 0.1961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4077, scimark_benchmark: 1362.6558, usercpu_time_millis: 12.477, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 12.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 452.1728, mean_absolute_error: 0.1052, 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: 0.225, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4154, scimark_benchmark: 1375.9496, usercpu_time_millis: 3.486, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 3.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9317, kappa: 0.8547, kb_relative_information_score: 437.5893, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9325, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.234, root_relative_squared_error: 0.484, scimark_benchmark: 1361.0546, usercpu_time_millis: 13.502, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 13.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 447.4668, mean_absolute_error: 0.1121, 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: 0.2397, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4081, scimark_benchmark: 1357.6455, usercpu_time_millis: 3.656, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 461.59, mean_absolute_error: 0.0959, 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: 0.2052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4036, scimark_benchmark: 1365.7175, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 461.6646, mean_absolute_error: 0.0954, 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: 0.204, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4081, scimark_benchmark: 1367.5711, usercpu_time_millis: 0.309, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9275, kappa: 0.8442, kb_relative_information_score: 464.4109, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9279, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4614, scimark_benchmark: 1368.3571, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 464.2277, mean_absolute_error: 0.0916, 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: 0.1958, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4204, scimark_benchmark: 1365.1724, usercpu_time_millis: 11.247, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 11.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 481.263, mean_absolute_error: 0.0793, 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: 0.1695, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3682, scimark_benchmark: 1367.5271, usercpu_time_millis: 9.985, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 9.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 463.0245, mean_absolute_error: 0.0958, 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: 0.2049, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3946, scimark_benchmark: 1373.7494, usercpu_time_millis: 3.438, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 469.1617, mean_absolute_error: 0.0903, 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: 0.193, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3851, scimark_benchmark: 1369.6604, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 3.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 454.2815, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4115, scimark_benchmark: 1361.3496, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 2.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 475.9676, mean_absolute_error: 0.0846, 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: 0.1808, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3711, scimark_benchmark: 1366.47, usercpu_time_millis: 1.588, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 474.2634, mean_absolute_error: 0.0851, 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: 0.1821, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3776, scimark_benchmark: 1356.836, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9115, kappa: 0.8079, kb_relative_information_score: 249.1645, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9212, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6656, scimark_benchmark: 1365.8506, usercpu_time_millis: 1.044, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9159, kappa: 0.8206, kb_relative_information_score: 434.6347, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9163, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.514, scimark_benchmark: 1374.3996, usercpu_time_millis: 14.815, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 14.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 395.7684, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9251, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4814, scimark_benchmark: 1363.0596, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 464.3294, mean_absolute_error: 0.0923, 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: 0.1974, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4113, scimark_benchmark: 1358.6929, usercpu_time_millis: 9.893, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 9.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9666, kappa: 0.9284, kb_relative_information_score: 485.0056, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3656, scimark_benchmark: 1374.5686, usercpu_time_millis: 9.756, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 9.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 473.5124, mean_absolute_error: 0.0844, 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: 0.1805, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.397, scimark_benchmark: 1375.0657, usercpu_time_millis: 9.136, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 8.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 483.7073, mean_absolute_error: 0.0758, 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: 0.162, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3687, scimark_benchmark: 1368.0889, usercpu_time_millis: 1.19, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 455.536, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4077, scimark_benchmark: 1372.3325, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 3.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 461.1501, mean_absolute_error: 0.0963, 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: 0.2059, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.405, scimark_benchmark: 1369.0462, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.488,

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