OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 1895 Supervised Classification breast-w 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9503, kappa: 0.8902, kb_relative_information_score: 5930.3948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 0.9297, recall: 0.9502, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4468, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9584, kappa: 0.9081, kb_relative_information_score: 5978.6015, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.9297, recall: 0.9584, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3739, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9589, kappa: 0.9092, kb_relative_information_score: 6143.0234, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.959, predictive_accuracy: 0.9588, prior_entropy: 0.9297, recall: 0.9588, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3743, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9595, kappa: 0.9114, kb_relative_information_score: 6326.9859, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.962, predictive_accuracy: 0.9591, prior_entropy: 0.9297, recall: 0.9591, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9595, kappa: 0.9114, kb_relative_information_score: 6326.9859, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.962, predictive_accuracy: 0.9591, prior_entropy: 0.9297, recall: 0.9591, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9561, kappa: 0.903, kb_relative_information_score: 5929.2883, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.9297, recall: 0.9561, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3823, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.9269, kb_relative_information_score: 6267.0852, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9297, recall: 0.967, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3348, scimark_benchmark: 943.8235, usercpu_time_millis: 19500, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 19380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9673, kappa: 0.9278, kb_relative_information_score: 6117.635, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.9297, recall: 0.9672, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3485, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9595, kappa: 0.9114, kb_relative_information_score: 6326.9859, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.962, predictive_accuracy: 0.9591, prior_entropy: 0.9297, recall: 0.9591, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256, scimark_benchmark: 941.3847, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9651, kappa: 0.9231, kb_relative_information_score: 6358.0445, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9656, predictive_accuracy: 0.965, prior_entropy: 0.9297, recall: 0.965, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3731, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9673, kappa: 0.9278, kb_relative_information_score: 6117.635, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.9297, recall: 0.9672, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3485, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9503, kappa: 0.8902, kb_relative_information_score: 5930.3948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 0.9297, recall: 0.9502, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4468, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9584, kappa: 0.9081, kb_relative_information_score: 5978.6015, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.9297, recall: 0.9584, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3739, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9561, kappa: 0.903, kb_relative_information_score: 5929.2883, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.9297, recall: 0.9561, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3823, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.9269, kb_relative_information_score: 6267.0852, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9297, recall: 0.967, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3348, scimark_benchmark: 936.9595, usercpu_time_millis: 14350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 14290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9673, kappa: 0.9278, kb_relative_information_score: 6117.635, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.9297, recall: 0.9672, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3485, scimark_benchmark: 936.9595, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9735, kappa: 0.9418, kb_relative_information_score: 6230.7138, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9743, predictive_accuracy: 0.9734, prior_entropy: 0.9297, recall: 0.9734, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3239, scimark_benchmark: 763.3895, usercpu_time_millis: 3180, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9738, kappa: 0.9424, kb_relative_information_score: 6230.4409, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9746, predictive_accuracy: 0.9737, prior_entropy: 0.9297, recall: 0.9737, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3253, scimark_benchmark: 901.6243, usercpu_time_millis: 930, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9735, kappa: 0.9418, kb_relative_information_score: 6235.0664, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9743, predictive_accuracy: 0.9734, prior_entropy: 0.9297, recall: 0.9734, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3247, scimark_benchmark: 939.7883, usercpu_time_millis: 470, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9712, kappa: 0.9367, kb_relative_information_score: 6220.2302, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9719, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3296, scimark_benchmark: 930.5033, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9717, kappa: 0.9376, kb_relative_information_score: 6227.9101, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9723, predictive_accuracy: 0.9715, prior_entropy: 0.9297, recall: 0.9715, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3313, scimark_benchmark: 926.5859, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9527, kappa: 0.8954, kb_relative_information_score: 6130.0986, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9297, recall: 0.9526, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4171, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9527, kappa: 0.8954, kb_relative_information_score: 6130.0986, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9297, recall: 0.9526, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4171, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9527, kappa: 0.8954, kb_relative_information_score: 6130.0986, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9297, recall: 0.9526, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4171, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9527, kappa: 0.8954, kb_relative_information_score: 6130.0986, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9297, recall: 0.9526, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4171, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9527, kappa: 0.8954, kb_relative_information_score: 6129.5403, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9297, recall: 0.9526, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4172, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5187, kb_relative_information_score: -1.3036, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.4293, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9545, kappa: 0.8993, kb_relative_information_score: 6258.6621, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9297, recall: 0.9545, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4316, scimark_benchmark: 938.3115, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9539, kappa: 0.8981, kb_relative_information_score: 6242.6484, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.954, predictive_accuracy: 0.9539, prior_entropy: 0.9297, recall: 0.9539, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4358, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9505, kappa: 0.8903, kb_relative_information_score: 6180.3516, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.9297, recall: 0.9505, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4515, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.9269, kb_relative_information_score: 6267.0852, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9297, recall: 0.967, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3348, scimark_benchmark: 1343.3311, usercpu_time_millis: 8290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 8220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.9269, kb_relative_information_score: 6267.0852, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9297, recall: 0.967, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3348, scimark_benchmark: 1358.6198, usercpu_time_millis: 10150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9651, kappa: 0.9231, kb_relative_information_score: 6358.0445, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9656, predictive_accuracy: 0.965, prior_entropy: 0.9297, recall: 0.965, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3731, scimark_benchmark: 1309.0674, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9584, kappa: 0.9081, kb_relative_information_score: 5978.6015, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.9297, recall: 0.9584, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3739, scimark_benchmark: 1319.5773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9684, kappa: 0.9306, kb_relative_information_score: 6451.6446, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9693, predictive_accuracy: 0.9682, prior_entropy: 0.9297, recall: 0.9682, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3671, scimark_benchmark: 1318.6467, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9589, kappa: 0.9092, kb_relative_information_score: 6143.0234, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.959, predictive_accuracy: 0.9588, prior_entropy: 0.9297, recall: 0.9588, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3743, scimark_benchmark: 1331.0047, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9595, kappa: 0.9114, kb_relative_information_score: 6326.9859, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.962, predictive_accuracy: 0.9591, prior_entropy: 0.9297, recall: 0.9591, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256, scimark_benchmark: 1320.1171, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9561, kappa: 0.903, kb_relative_information_score: 5929.2883, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.9297, recall: 0.9561, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3823, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.9269, kb_relative_information_score: 6267.0852, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9297, recall: 0.967, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3348, scimark_benchmark: 1303.5632, usercpu_time_millis: 12040, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 11980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9503, kappa: 0.8902, kb_relative_information_score: 5930.3948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 0.9297, recall: 0.9502, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4468, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9584, kappa: 0.9081, kb_relative_information_score: 5978.6015, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 0.9297, recall: 0.9584, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3739, scimark_benchmark: 1360.6367, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9712, kappa: 0.9364, kb_relative_information_score: 6423.0828, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9297, recall: 0.9711, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3354, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9673, kappa: 0.9279, kb_relative_information_score: 6348.133, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.9297, recall: 0.9672, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3411, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9595, kappa: 0.9114, kb_relative_information_score: 6326.9859, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.962, predictive_accuracy: 0.9591, prior_entropy: 0.9297, recall: 0.9591, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4256, scimark_benchmark: 1352.06, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs