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: 0.9856, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 471.8743, mean_absolute_error: 0.0854, 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: 0.1825, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4051, scimark_benchmark: 1375.6002, usercpu_time_millis: 10.718, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 10.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9148, kappa: 0.8164, kb_relative_information_score: 401.3637, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.916, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4995, scimark_benchmark: 1377.4028, usercpu_time_millis: 1.433, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.1093, 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: 1374.0538, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 469.6121, mean_absolute_error: 0.0889, 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: 0.19, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3919, scimark_benchmark: 1369.555, usercpu_time_millis: 6.721, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 6.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 477.1993, 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: 0.1847, root_relative_squared_error: 0.382, scimark_benchmark: 1380.2281, usercpu_time_millis: 5.514, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 5.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9506, kappa: 0.8939, kb_relative_information_score: 432.0781, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4167, scimark_benchmark: 1382.4514, usercpu_time_millis: 3.191, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 2.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 471.4205, mean_absolute_error: 0.088, 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: 0.1883, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3809, scimark_benchmark: 1371.0114, usercpu_time_millis: 0.833, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 453.7051, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4291, scimark_benchmark: 1383.0161, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 450.7094, mean_absolute_error: 0.1051, 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: 0.2247, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4302, scimark_benchmark: 1376.5345, usercpu_time_millis: 4.042, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 3.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 461.7038, mean_absolute_error: 0.0968, 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: 0.207, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3974, scimark_benchmark: 1378.3409, usercpu_time_millis: 2.993, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.929, kappa: 0.847, kb_relative_information_score: 409.9395, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9304, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4639, scimark_benchmark: 1379.046, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 460.4301, mean_absolute_error: 0.1018, 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: 0.2177, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3776, scimark_benchmark: 1365.4064, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4838, kb_relative_information_score: 0.0157, 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: 1387.5671, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 465.2995, mean_absolute_error: 0.0911, 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: 0.1948, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4141, scimark_benchmark: 1369.9727, usercpu_time_millis: 16.279, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 15.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 480.2938, mean_absolute_error: 0.0777, 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: 0.1661, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3924, scimark_benchmark: 1387.7841, usercpu_time_millis: 16.105, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 15.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.2487, 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: 1.0001, scimark_benchmark: 1374.8923, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 470.0255, mean_absolute_error: 0.0874, 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: 0.1869, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4025, scimark_benchmark: 1387.1892, usercpu_time_millis: 17.002, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 16.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 466.002, mean_absolute_error: 0.0913, 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: 0.1953, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4035, scimark_benchmark: 1373.8931, usercpu_time_millis: 6.823, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 6.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 476.6344, mean_absolute_error: 0.0831, 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: 0.1778, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3754, scimark_benchmark: 1380.0821, usercpu_time_millis: 2.033, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 420.7515, mean_absolute_error: 0.1367, 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: 0.2923, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4499, scimark_benchmark: 1375.9501, usercpu_time_millis: 0.152, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 437.946, mean_absolute_error: 0.121, 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: 0.2588, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4225, scimark_benchmark: 1381.0231, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 461.0861, mean_absolute_error: 0.0961, 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: 0.2055, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4083, scimark_benchmark: 1362.0741, usercpu_time_millis: 3.654, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 3.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 481.0786, 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: 0.1697, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3676, scimark_benchmark: 1380.2602, usercpu_time_millis: 6.424, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 6.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9506, kappa: 0.8941, kb_relative_information_score: 456.2972, mean_absolute_error: 0.1018, 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: 0.2177, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4057, scimark_benchmark: 1371.5117, usercpu_time_millis: 1.527, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.2002, 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: 1379.3334, usercpu_time_millis: 1.202, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 477.0321, mean_absolute_error: 0.0833, 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: 0.1782, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3707, scimark_benchmark: 1384.8233, usercpu_time_millis: 2.993, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 2.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 454.4908, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4276, scimark_benchmark: 1368.2865, usercpu_time_millis: 4.056, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 3.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 478.4483, mean_absolute_error: 0.0812, 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: 0.1737, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779, scimark_benchmark: 1366.3713, usercpu_time_millis: 10.198, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 9.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 458.596, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4189, scimark_benchmark: 1380.0123, usercpu_time_millis: 8.441, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 8.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9271, kappa: 0.8427, kb_relative_information_score: 382.1844, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.929, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.4986, scimark_benchmark: 1378.403, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 457.4811, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4218, scimark_benchmark: 1374.701, usercpu_time_millis: 5.999, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 5.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.3341, mean_absolute_error: 0.0923, 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: 0.1973, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4014, scimark_benchmark: 1380.9791, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 423.7226, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4448, scimark_benchmark: 1375.9225, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 463.2391, mean_absolute_error: 0.0934, 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: 0.1998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4121, scimark_benchmark: 1377.7275, usercpu_time_millis: 8.459, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 8.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9665, kappa: 0.9282, kb_relative_information_score: 484.9598, mean_absolute_error: 0.0753, 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: 0.1609, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679, scimark_benchmark: 1383.8681, usercpu_time_millis: 2.323, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 444.3641, mean_absolute_error: 0.112, 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: 0.2395, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4315, scimark_benchmark: 1366.3332, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 396.7904, mean_absolute_error: 0.1591, 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: 0.3402, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4798, scimark_benchmark: 1378.9669, usercpu_time_millis: 1.928, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 484.2766, mean_absolute_error: 0.0763, 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: 0.1631, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3669, scimark_benchmark: 1377.8204, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 464.7386, mean_absolute_error: 0.093, 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: 0.199, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3984, scimark_benchmark: 1364.1638, usercpu_time_millis: 4.932, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 4.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.1737, mean_absolute_error: 0.0912, 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: 0.1951, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4136, scimark_benchmark: 1380.2571, usercpu_time_millis: 11.234, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 11.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 462.7103, mean_absolute_error: 0.0936, 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: 0.2002, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4144, scimark_benchmark: 1374.8561, usercpu_time_millis: 12.103, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 11.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.4838, kb_relative_information_score: 0.271, 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: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1377.2253, usercpu_time_millis: 0.364, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.5839, 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: 0.1955, root_relative_squared_error: 0.4043, scimark_benchmark: 1378.1881, usercpu_time_millis: 4.391, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 4.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9648, kappa: 0.9245, kb_relative_information_score: 486.6431, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3783, scimark_benchmark: 1380.5207, usercpu_time_millis: 4.25, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 467.8362, mean_absolute_error: 0.0914, 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: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.3902, scimark_benchmark: 1375.2321, usercpu_time_millis: 4.107, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 3.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 460.2089, mean_absolute_error: 0.0963, 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: 0.2058, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4147, scimark_benchmark: 1380.0946, usercpu_time_millis: 2.905, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 2.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 485.2076, mean_absolute_error: 0.0748, 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: 0.1599, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.37, scimark_benchmark: 1372.6968, usercpu_time_millis: 15.17, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 14.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 462.0047, mean_absolute_error: 0.0942, 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: 0.2015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4167, scimark_benchmark: 1373.7301, usercpu_time_millis: 10.009, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 9.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 463.6316, mean_absolute_error: 0.097, 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: 0.2074, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3844, scimark_benchmark: 1372.983, usercpu_time_millis: 4.484, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 4.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.0741, mean_absolute_error: 0.0947, 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: 0.2025, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3938, scimark_benchmark: 1372.4374, usercpu_time_millis: 3.495, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 3.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 479.5359, mean_absolute_error: 0.0802, 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: 0.1715, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3751, scimark_benchmark: 1372.5622, usercpu_time_millis: 3.268, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 3.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 377.7678, mean_absolute_error: 0.1806, 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: 0.3862, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4881, scimark_benchmark: 1371.4098, usercpu_time_millis: 0.794, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 478.9048, mean_absolute_error: 0.0799, 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: 0.1709, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3806, scimark_benchmark: 1371.1164, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4838, kb_relative_information_score: 0.2885, 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: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1375.4071, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 471.1933, mean_absolute_error: 0.0866, 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: 0.1853, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3977, scimark_benchmark: 1408.7658, usercpu_time_millis: 16.537, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 15.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 466.2087, mean_absolute_error: 0.0906, 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: 0.1938, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4083, scimark_benchmark: 1399.7257, usercpu_time_millis: 3.567, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 3.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 482.8585, mean_absolute_error: 0.0778, 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: 0.1664, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3668, scimark_benchmark: 1443.7725, usercpu_time_millis: 7.899, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 7.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: -0.1869, 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, scimark_benchmark: 1427.0522, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 484.385, mean_absolute_error: 0.0755, 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: 0.1615, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3718, scimark_benchmark: 1367.5469, usercpu_time_millis: 11.683, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 11.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 467.4763, mean_absolute_error: 0.0894, 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: 0.1913, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4083, scimark_benchmark: 1361.5128, usercpu_time_millis: 13.222, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 12.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 452.0383, mean_absolute_error: 0.1093, 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: 0.2337, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3911, scimark_benchmark: 1372.205, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9683, kappa: 0.9322, kb_relative_information_score: 490.4966, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3524, scimark_benchmark: 1376.651, usercpu_time_millis: 6.138, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 5.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.6453, mean_absolute_error: 0.0916, 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: 0.1958, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4041, scimark_benchmark: 1375.9851, usercpu_time_millis: 3.495, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 3.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 465.8034, mean_absolute_error: 0.0915, 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: 0.1957, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4016, scimark_benchmark: 1381.5085, usercpu_time_millis: 4.301, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 4.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.3293, 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: 1.0001, scimark_benchmark: 1372.0788, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9255, kappa: 0.8394, kb_relative_information_score: 412.0253, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9268, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4704, scimark_benchmark: 1374.3699, usercpu_time_millis: 2.477, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 469.7029, mean_absolute_error: 0.0888, 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: 0.1899, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3877, scimark_benchmark: 1380.8504, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 479.9169, mean_absolute_error: 0.0805, 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: 0.1721, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3692, scimark_benchmark: 1379.3942, usercpu_time_millis: 4.769, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.485,

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