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: 0.9889, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 471.1252, mean_absolute_error: 0.0872, 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: 0.1865, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3915, scimark_benchmark: 1273.2121, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 3.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.2767, 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: 1284.5792, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 444.97, mean_absolute_error: 0.1111, 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: 0.2375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4311, scimark_benchmark: 1271.3766, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 458.1439, mean_absolute_error: 0.0958, 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: 0.2049, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4401, scimark_benchmark: 1263.6191, usercpu_time_millis: 3.168, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 3.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.927, kappa: 0.8424, kb_relative_information_score: 373.6251, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9294, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.506, scimark_benchmark: 1271.7721, usercpu_time_millis: 2.406, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 2.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 476.6477, mean_absolute_error: 0.0824, 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: 0.1763, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3844, scimark_benchmark: 1268.1531, usercpu_time_millis: 10.508, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 10.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 457.9961, mean_absolute_error: 0.0979, 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: 0.2094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4226, scimark_benchmark: 1256.1582, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 2.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.4838, kb_relative_information_score: 0.1503, 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: 1268.6079, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4838, kb_relative_information_score: -0.0971, 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: 1297.6953, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 445.4267, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4456, scimark_benchmark: 1274.2168, usercpu_time_millis: 9.415, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 9.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 454.2206, mean_absolute_error: 0.1015, 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: 0.2171, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4299, scimark_benchmark: 1270.9665, usercpu_time_millis: 7.594, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 7.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 486.3671, mean_absolute_error: 0.0741, 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: 0.1585, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3646, scimark_benchmark: 1147.852, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 482.7572, mean_absolute_error: 0.0776, 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: 0.1659, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3689, scimark_benchmark: 1171.3849, usercpu_time_millis: 8.984, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 8.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9506, kappa: 0.8939, kb_relative_information_score: 436.8134, mean_absolute_error: 0.1239, 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: 0.265, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4128, scimark_benchmark: 1251.2895, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 480.0304, mean_absolute_error: 0.0801, 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: 0.1713, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3731, scimark_benchmark: 1222.7571, usercpu_time_millis: 4.677, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 4.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 462.919, 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: 0.2016, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4065, scimark_benchmark: 1273.6079, usercpu_time_millis: 6.947, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 6.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 445.2961, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4438, scimark_benchmark: 1221.1099, usercpu_time_millis: 9.544, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 9.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4838, kb_relative_information_score: 0.1721, 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: 1270.2282, usercpu_time_millis: 1.551, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 480.9396, mean_absolute_error: 0.0792, 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: 0.1693, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3695, scimark_benchmark: 1259.0723, usercpu_time_millis: 4.375, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 4.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 462.7841, mean_absolute_error: 0.0945, 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: 0.2021, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4073, scimark_benchmark: 1275.1983, usercpu_time_millis: 1.625, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 458.7175, mean_absolute_error: 0.1031, 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: 0.2205, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.38, scimark_benchmark: 1294.5044, usercpu_time_millis: 8.167, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 7.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 482.0416, mean_absolute_error: 0.0779, 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: 0.1665, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3743, scimark_benchmark: 1295.7168, usercpu_time_millis: 9.753, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 9.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.4551, mean_absolute_error: 0.0922, 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: 0.1971, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4015, scimark_benchmark: 1270.5318, usercpu_time_millis: 6.42, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 6.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 446.4984, mean_absolute_error: 0.1096, 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: 0.2344, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.434, scimark_benchmark: 1271.0526, usercpu_time_millis: 1.688, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.0379, 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: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1242.7777, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.105, 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: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1271.7373, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 459.8364, mean_absolute_error: 0.0968, 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: 0.207, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4147, scimark_benchmark: 1306.9385, usercpu_time_millis: 7.7, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 7.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 447.8384, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4438, scimark_benchmark: 1279.3234, usercpu_time_millis: 14.268, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 13.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 470.7763, mean_absolute_error: 0.0869, 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: 0.1858, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3997, scimark_benchmark: 1314.26, usercpu_time_millis: 13.537, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 13.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 460.9887, mean_absolute_error: 0.0959, 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: 0.2051, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.411, scimark_benchmark: 1300.0489, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 472.6463, mean_absolute_error: 0.0861, 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: 0.184, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.387, scimark_benchmark: 1216.6175, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 487.5196, mean_absolute_error: 0.0715, 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: 0.1529, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3807, scimark_benchmark: 1283.9933, usercpu_time_millis: 17.511, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 17.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9229, kappa: 0.8355, kb_relative_information_score: 444.5959, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9233, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4867, scimark_benchmark: 1281.899, usercpu_time_millis: 22.123, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 21.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.0201, 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: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1264.7178, usercpu_time_millis: 1.521, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.0453, 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: 0.1948, root_relative_squared_error: 0.4029, scimark_benchmark: 1251.8134, usercpu_time_millis: 2.925, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.765,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9318, kappa: 0.8549, kb_relative_information_score: 444.4294, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9328, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4507, scimark_benchmark: 1230.4223, usercpu_time_millis: 6.472, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 6.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9315, kappa: 0.8535, kb_relative_information_score: 433.3551, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4583, scimark_benchmark: 1259.6789, usercpu_time_millis: 7.075, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 6.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4838, kb_relative_information_score: 0.1204, 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: 1300.0804, usercpu_time_millis: 0.842, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 472.3116, mean_absolute_error: 0.087, 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: 0.186, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3827, scimark_benchmark: 1285.8021, usercpu_time_millis: 6.572, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 6.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9666, kappa: 0.9285, kb_relative_information_score: 489.6391, mean_absolute_error: 0.0707, 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: 0.1511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3666, scimark_benchmark: 1290.3956, usercpu_time_millis: 16.081, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 15.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 477.4737, mean_absolute_error: 0.0824, 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: 0.1762, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3743, scimark_benchmark: 1255.8388, usercpu_time_millis: 7.029, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 6.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9164, kappa: 0.8197, kb_relative_information_score: 410.4549, mean_absolute_error: 0.1433, 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: 0.3064, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4759, scimark_benchmark: 1301.3269, usercpu_time_millis: 2.052, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 478.2304, mean_absolute_error: 0.0835, 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: 0.1785, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3583, scimark_benchmark: 1313.494, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 480.1465, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4186, scimark_benchmark: 1206.8281, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.2348, mean_absolute_error: 0.4673, 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: 0.9993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1281.89, usercpu_time_millis: 0.159, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 485.1507, mean_absolute_error: 0.0735, 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: 0.1572, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3845, scimark_benchmark: 1282.7217, usercpu_time_millis: 26.91, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 26.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 484.7607, mean_absolute_error: 0.0738, 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: 0.1578, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3868, scimark_benchmark: 1269.0982, usercpu_time_millis: 21.286, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 20.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 485.685, mean_absolute_error: 0.0753, 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: 0.161, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3599, scimark_benchmark: 1252.4975, usercpu_time_millis: 10.84, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 10.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 476.4188, mean_absolute_error: 0.0831, 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: 0.1778, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3776, scimark_benchmark: 1288.0123, usercpu_time_millis: 8.501, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 8.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 479.4941, mean_absolute_error: 0.0802, 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: 0.1715, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3753, scimark_benchmark: 1275.5659, usercpu_time_millis: 7.192, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 7.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 469.2663, mean_absolute_error: 0.0885, 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: 0.1892, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3966, scimark_benchmark: 1259.599, usercpu_time_millis: 2.375, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 466.5906, mean_absolute_error: 0.0907, 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: 0.1941, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4011, scimark_benchmark: 1274.2891, usercpu_time_millis: 1.869, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 458.2577, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4161, scimark_benchmark: 1287.1083, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 2.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9318, kappa: 0.8549, kb_relative_information_score: 438.463, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9328, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4737, scimark_benchmark: 1767.9413, usercpu_time_millis: 12.258, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 11.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 467.1143, mean_absolute_error: 0.0901, 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: 0.1927, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4042, scimark_benchmark: 1744.1657, usercpu_time_millis: 5.605, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 5.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 467.1699, mean_absolute_error: 0.0925, 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: 0.1977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3863, scimark_benchmark: 1737.5952, usercpu_time_millis: 3.919, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 3.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.937, kappa: 0.8657, kb_relative_information_score: 439.8846, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9376, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4431, scimark_benchmark: 1703.8283, usercpu_time_millis: 5.376, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 4.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.963, kappa: 0.9205, kb_relative_information_score: 463.3255, mean_absolute_error: 0.0991, 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: 0.212, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3714, scimark_benchmark: 1714.6242, usercpu_time_millis: 5.866, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 5.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 477.2637, mean_absolute_error: 0.0826, 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: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3756, scimark_benchmark: 1734.2699, usercpu_time_millis: 5.576, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 5.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 484.0179, mean_absolute_error: 0.0763, 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: 0.1631, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3683, scimark_benchmark: 1729.8197, usercpu_time_millis: 16.078, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 15.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9434, kappa: 0.8783, kb_relative_information_score: 421.4621, mean_absolute_error: 0.1374, 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: 0.2939, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4393, scimark_benchmark: 1746.9369, usercpu_time_millis: 2.127, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 484.2099, mean_absolute_error: 0.0765, 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: 0.1636, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3633, scimark_benchmark: 1714.5499, usercpu_time_millis: 3.301, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 3.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 480.7741, mean_absolute_error: 0.0792, 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: 0.1695, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3726, scimark_benchmark: 1737.6848, usercpu_time_millis: 12.189, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 11.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 477.5626, mean_absolute_error: 0.0815, 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: 0.1743, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3842, scimark_benchmark: 1744.3284, usercpu_time_millis: 13.973, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 13.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 462.2203, mean_absolute_error: 0.0944, 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: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4145, scimark_benchmark: 1741.1068, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.1252, 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: 1746.0672, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 444.6215, mean_absolute_error: 0.1123, 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: 0.2401, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4251, scimark_benchmark: 1716.4871, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.417,

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