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: 0.9885, f_measure: 0.9718, kappa: 0.938, kb_relative_information_score: 6524.3293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 0.9297, recall: 0.9717, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3424, scimark_benchmark: 1260.1387,
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: 1260.1387,
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: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 929.0363, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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: 1326.8946, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, 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: 932.5646, 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: 1320.9387, usercpu_time_millis: 10710, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9718, kappa: 0.938, kb_relative_information_score: 6524.3293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 0.9297, recall: 0.9717, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3424, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1297.2338, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9718, kappa: 0.938, kb_relative_information_score: 6524.3293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 0.9297, recall: 0.9717, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3424, scimark_benchmark: 1347.917,
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: 1345.7204,
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: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9204, kappa: 0.8269, kb_relative_information_score: 5265.8652, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9255, predictive_accuracy: 0.9193, prior_entropy: 0.9297, recall: 0.9193, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5158, scimark_benchmark: 994.8259, usercpu_time_millis: 640, usercpu_time_millis_testing: 640,
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: 933.1165, 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: 933.1165,
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: 926.6704,
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: 1315.933, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9718, kappa: 0.938, kb_relative_information_score: 6524.3293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 0.9297, recall: 0.9717, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3424, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9718, kappa: 0.938, kb_relative_information_score: 6524.3293, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 0.9297, recall: 0.9717, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3424, scimark_benchmark: 933.1165,
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: 933.1165, 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: 1343.2125,
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: 1064.8317,
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: 1151.6869,
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: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9412, kappa: 0.8697, kb_relative_information_score: 5890.0683, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9297, recall: 0.9412, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4767, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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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: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9616, kappa: 0.9154, kb_relative_information_score: 5825.5034, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9619, predictive_accuracy: 0.9615, prior_entropy: 0.9297, recall: 0.9615, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3737, scimark_benchmark: 1329.8902, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9635, kappa: 0.919, kb_relative_information_score: 6227.1598, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9297, recall: 0.9635, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3491, scimark_benchmark: 1340.9497, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9595, kappa: 0.9105, kb_relative_information_score: 5960.2093, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9597, predictive_accuracy: 0.9594, prior_entropy: 0.9297, recall: 0.9594, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3679, scimark_benchmark: 1371.9645, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9674, kappa: 0.9278, kb_relative_information_score: 6460.8198, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9297, recall: 0.9674, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.38, scimark_benchmark: 1349.1028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9545, kappa: 0.8992, kb_relative_information_score: 6205.439, mean_absolute_error: 0.0495, 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: 0.1096, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4229, scimark_benchmark: 1337.5749, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9574, kappa: 0.9058, kb_relative_information_score: 6251.6438, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9297, recall: 0.9574, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4055, scimark_benchmark: 1353.2625, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9582, kappa: 0.9077, kb_relative_information_score: 5818.1793, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9584, predictive_accuracy: 0.9581, prior_entropy: 0.9297, recall: 0.9581, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3798, scimark_benchmark: 1314.0383, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 6196.3909, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.379, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9542, kappa: 0.8987, kb_relative_information_score: 6111.9166, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3856, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9466, kappa: 0.882, kb_relative_information_score: 5952.6664, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9468, predictive_accuracy: 0.9465, prior_entropy: 0.9297, recall: 0.9465, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4641, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9559, kappa: 0.9024, kb_relative_information_score: 6253.9083, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9297, recall: 0.9559, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4, scimark_benchmark: 915.6729, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9542, kappa: 0.8985, kb_relative_information_score: 6219.1741, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4023, scimark_benchmark: 1307.4861, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9525, kappa: 0.8947, kb_relative_information_score: 6181.6612, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.9297, recall: 0.9525, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4045, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9512, kappa: 0.8918, kb_relative_information_score: 6118.386, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9511, predictive_accuracy: 0.9512, prior_entropy: 0.9297, recall: 0.9512, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4128, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.95, kappa: 0.8892, kb_relative_information_score: 6060.497, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.95, predictive_accuracy: 0.9501, prior_entropy: 0.9297, recall: 0.9501, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4201, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9693, kappa: 0.9322, kb_relative_information_score: 6312.0187, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9695, predictive_accuracy: 0.9692, prior_entropy: 0.9297, recall: 0.9692, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3294, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9672, kappa: 0.9274, kb_relative_information_score: 6320.1451, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9673, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3532, scimark_benchmark: 882.7843, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9659, kappa: 0.9246, kb_relative_information_score: 6435.4375, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.966, predictive_accuracy: 0.9658, prior_entropy: 0.9297, recall: 0.9658, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.389, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9604, kappa: 0.9121, kb_relative_information_score: 6350.0607, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.9297, recall: 0.9605, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4181, scimark_benchmark: 1294.7826, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9676, kappa: 0.9284, kb_relative_information_score: 6463.1272, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 0.9297, recall: 0.9675, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3791, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9635, kappa: 0.919, kb_relative_information_score: 6227.7007, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.9297, recall: 0.9635, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3489, scimark_benchmark: 1337.7959, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9674, kappa: 0.9278, kb_relative_information_score: 6460.8198, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9297, recall: 0.9674, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.38, scimark_benchmark: 916.9356, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1363.434, usercpu_time_millis: 7440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 7370,
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: 1331.6907, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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: 1318.5526, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.943, kappa: 0.8735, kb_relative_information_score: 6059.6726, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9429, predictive_accuracy: 0.9431, prior_entropy: 0.9297, recall: 0.9431, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4992, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9472, kappa: 0.8833, kb_relative_information_score: 5845.5212, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4541, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9439, kappa: 0.8763, kb_relative_information_score: 5826.9263, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9443, predictive_accuracy: 0.9438, prior_entropy: 0.9297, recall: 0.9438, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4773, scimark_benchmark: 1321.6263, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9628, kappa: 0.9181, kb_relative_information_score: 6384.6729, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9633, predictive_accuracy: 0.9627, prior_entropy: 0.9297, recall: 0.9627, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4066, scimark_benchmark: 1294.7826, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.8602, kappa: 0.6829, kb_relative_information_score: 4861.7361, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.8832, predictive_accuracy: 0.8682, prior_entropy: 0.9297, recall: 0.8682, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7637, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9474, kappa: 0.8839, kb_relative_information_score: 6033.6444, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.9297, recall: 0.9474, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4527, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9169, kappa: 0.8146, kb_relative_information_score: 5657.8167, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.452, number_of_instances: 6990, precision: 0.9173, predictive_accuracy: 0.9176, prior_entropy: 0.9297, recall: 0.9176, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.604, scimark_benchmark: 1465.2979,

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