Task
Supervised Classification on mammography

Supervised Classification on mammography

Task 3483 Supervised Classification mammography 199 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9855, kappa: 0.6477, kb_relative_information_score: 2920.8405, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9857, predictive_accuracy: 0.9869, prior_entropy: 0.1598, recall: 0.9869, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.9844, kappa: 0.6346, kb_relative_information_score: 4735.063, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9853, prior_entropy: 0.1598, recall: 0.9853, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9539, kappa: 0.2371, kb_relative_information_score: -31288.3427, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9675, predictive_accuracy: 0.943, prior_entropy: 0.1598, recall: 0.943, relative_absolute_error: 1.6048, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.201, root_relative_squared_error: 1.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9796, kappa: 0.4883, kb_relative_information_score: -360.5632, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9798, predictive_accuracy: 0.9826, prior_entropy: 0.1598, recall: 0.9826, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.9721, kappa: 0.2262, kb_relative_information_score: 3576.9854, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.1598, recall: 0.9797, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.9844, kappa: 0.6293, kb_relative_information_score: 3071.2397, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9842, predictive_accuracy: 0.9857, prior_entropy: 0.1598, recall: 0.9857, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9858, kappa: 0.6632, kb_relative_information_score: 5775.043, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9857, predictive_accuracy: 0.9869, prior_entropy: 0.1598, recall: 0.9869, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.9676, kappa: 0.4206, kb_relative_information_score: -4828.8997, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.976, predictive_accuracy: 0.9617, prior_entropy: 0.1598, recall: 0.9617, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1552, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9672, kappa: 0.0655, kb_relative_information_score: 469.2914, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9781, predictive_accuracy: 0.9776, prior_entropy: 0.1598, recall: 0.9776, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.128, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9843, kappa: 0.6057, kb_relative_information_score: 2790.6303, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9857, predictive_accuracy: 0.9865, prior_entropy: 0.1598, recall: 0.9865, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9719, kappa: 0.4561, kb_relative_information_score: -6240.3773, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9764, predictive_accuracy: 0.9685, prior_entropy: 0.1598, recall: 0.9685, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1646, root_relative_squared_error: 1.0922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9653, kb_relative_information_score: -40.3321, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.954, predictive_accuracy: 0.9768, prior_entropy: 0.1598, recall: 0.9768, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1507, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9847, kappa: 0.6321, kb_relative_information_score: 1426.9902, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9846, predictive_accuracy: 0.9861, prior_entropy: 0.1598, recall: 0.9861, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9851, kappa: 0.6345, kb_relative_information_score: 2247.1059, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9856, predictive_accuracy: 0.9868, prior_entropy: 0.1598, recall: 0.9868, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.98, kappa: 0.4766, kb_relative_information_score: -3496.213, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9653, kb_relative_information_score: -40.3321, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.954, predictive_accuracy: 0.9768, prior_entropy: 0.1598, recall: 0.9768, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1507, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9844, kappa: 0.6293, kb_relative_information_score: 1678.9055, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9842, predictive_accuracy: 0.9857, prior_entropy: 0.1598, recall: 0.9857, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9653, kb_relative_information_score: 8.4011, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.954, predictive_accuracy: 0.9768, prior_entropy: 0.1598, recall: 0.9768, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1507, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.9813, kappa: 0.5457, kb_relative_information_score: -547.3817, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.981, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9834, kappa: 0.6041, kb_relative_information_score: 334.2371, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.9849, prior_entropy: 0.1598, recall: 0.9849, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1814, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.9715, kappa: 0.2083, kb_relative_information_score: 3297.668, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9794, prior_entropy: 0.1598, recall: 0.9794, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1814, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9717, kappa: 0.2143, kb_relative_information_score: -11930.0127, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.1598, recall: 0.9795, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9869, kappa: 0.6815, kb_relative_information_score: 43.8471, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9874, predictive_accuracy: 0.9882, prior_entropy: 0.1598, recall: 0.9882, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9649, kappa: 0.4178, kb_relative_information_score: -20220.7364, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9774, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1865, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1919, root_relative_squared_error: 1.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9653, kb_relative_information_score: 2273.3391, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.954, predictive_accuracy: 0.9768, prior_entropy: 0.1598, recall: 0.9768, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1525, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.9696, kappa: 0.1458, kb_relative_information_score: 2956.225, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.978, predictive_accuracy: 0.9785, prior_entropy: 0.1598, recall: 0.9785, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9726, kappa: 0.4947, kb_relative_information_score: -30308.4681, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9791, predictive_accuracy: 0.9683, prior_entropy: 0.1598, recall: 0.9683, relative_absolute_error: 1.2272, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1614, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9834, kappa: 0.6041, kb_relative_information_score: 334.2371, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.9849, prior_entropy: 0.1598, recall: 0.9849, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9828, kappa: 0.5934, kb_relative_information_score: 1501.6872, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.984, prior_entropy: 0.1598, recall: 0.984, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.9814, kappa: 0.5905, kb_relative_information_score: 3985.5574, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 0.1598, recall: 0.9814, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9562, kappa: -0.0045, kb_relative_information_score: -4862.8184, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9544, predictive_accuracy: 0.9581, prior_entropy: 0.1598, recall: 0.9581, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.2048, root_relative_squared_error: 1.359, scimark_benchmark: 1697.6783, usercpu_time_millis: 2062.5, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 1343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.983, kappa: 0.5832, kb_relative_information_score: 5414.6142, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.8133, scimark_benchmark: 1862.8608, usercpu_time_millis: 1296.875, usercpu_time_millis_testing: 531.25, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9562, kappa: -0.0045, kb_relative_information_score: -4862.8184, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9544, predictive_accuracy: 0.9581, prior_entropy: 0.1598, recall: 0.9581, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.2048, root_relative_squared_error: 1.359, scimark_benchmark: 1358.9177, usercpu_time_millis: 3710, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.983, kappa: 0.5832, kb_relative_information_score: 5414.6142, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.8133, scimark_benchmark: 1590.5707, usercpu_time_millis: 1740, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9836, kappa: 0.6286, kb_relative_information_score: 3315.6412, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9832, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.739, scimark_benchmark: 1918.4916, usercpu_time_millis: 26718.75, usercpu_time_millis_training: 26718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9828, kappa: 0.5948, kb_relative_information_score: -60.1356, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7461, scimark_benchmark: 1918.4916, usercpu_time_millis: 25343.75, usercpu_time_millis_training: 25343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.9835, kappa: 0.5942, kb_relative_information_score: 5619.48, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9855, prior_entropy: 0.1598, recall: 0.9855, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7987, scimark_benchmark: 1854.0453, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.9835, kappa: 0.5942, kb_relative_information_score: 5619.48, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.984, predictive_accuracy: 0.9855, prior_entropy: 0.1598, recall: 0.9855, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7987, scimark_benchmark: 1742.8208, usercpu_time_millis: 1687.5, usercpu_time_millis_testing: 296.875, usercpu_time_millis_training: 1390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.9785, kappa: 0.4458, kb_relative_information_score: 4390.2854, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9798, predictive_accuracy: 0.9823, prior_entropy: 0.1598, recall: 0.9823, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.883, scimark_benchmark: 1377.4309, usercpu_time_millis: 2593.75, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 2140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9828, kappa: 0.5934, kb_relative_information_score: 1501.6872, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9823, predictive_accuracy: 0.984, prior_entropy: 0.1598, recall: 0.984, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.726, scimark_benchmark: 1320.1271, usercpu_time_millis: 7960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9829, kappa: 0.5962, kb_relative_information_score: -441.4206, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9842, prior_entropy: 0.1598, recall: 0.9842, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.7448, scimark_benchmark: 1416.417, usercpu_time_millis: 2859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1437, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806, scimark_benchmark: 1291.5086, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.9717, kappa: 0.2143, kb_relative_information_score: 3331.8123, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.1598, recall: 0.9795, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.9496, scimark_benchmark: 1333.6954, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.9779, kappa: 0.4285, kb_relative_information_score: 4253.7082, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9819, prior_entropy: 0.1598, recall: 0.9819, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.8919, scimark_benchmark: 1618.1738, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.983, kappa: 0.6073, kb_relative_information_score: 3028.6203, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9825, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7459, scimark_benchmark: 1744.8652, usercpu_time_millis: 2562.5, usercpu_time_millis_training: 2562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.981, kappa: 0.5255, kb_relative_information_score: -3571.2903, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9835, prior_entropy: 0.1598, recall: 0.9835, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.76, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9828, kappa: 0.6091, kb_relative_information_score: 4695.8924, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.858, scimark_benchmark: 1744.8652, usercpu_time_millis: 7140.625, usercpu_time_millis_testing: 7125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9825, kappa: 0.5783, kb_relative_information_score: -657.5386, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9821, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 1203.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9845, kappa: 0.6327, kb_relative_information_score: 4850.8654, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9841, predictive_accuracy: 0.9856, prior_entropy: 0.1598, recall: 0.9856, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.7612, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.982, kappa: 0.5549, kb_relative_information_score: 727.2898, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9822, predictive_accuracy: 0.9843, prior_entropy: 0.1598, recall: 0.9843, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.7881, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9868, kappa: 0.6798, kb_relative_information_score: -186.3412, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9872, predictive_accuracy: 0.9881, prior_entropy: 0.1598, recall: 0.9881, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.6543, scimark_benchmark: 1744.8652, usercpu_time_millis: 2640.625, usercpu_time_millis_testing: 421.875, usercpu_time_millis_training: 2218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9836, kappa: 0.6073, kb_relative_information_score: 348.7695, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9833, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.7873, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9648, kappa: 0.4165, kb_relative_information_score: -18170.1437, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9773, predictive_accuracy: 0.9566, prior_entropy: 0.1598, recall: 0.9566, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.193, root_relative_squared_error: 1.2806, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.9717, kappa: 0.2143, kb_relative_information_score: 3331.8123, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.1598, recall: 0.9795, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.9496, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.9779, kappa: 0.4285, kb_relative_information_score: 4253.7082, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9792, predictive_accuracy: 0.9819, prior_entropy: 0.1598, recall: 0.9819, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.8919, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.983, kappa: 0.6073, kb_relative_information_score: 3028.6211, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9825, predictive_accuracy: 0.9839, prior_entropy: 0.1598, recall: 0.9839, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.7459, scimark_benchmark: 1744.8652, usercpu_time_millis: 2875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.981, kappa: 0.5255, kb_relative_information_score: -3571.2903, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9813, predictive_accuracy: 0.9835, prior_entropy: 0.1598, recall: 0.9835, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.76, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9828, kappa: 0.6091, kb_relative_information_score: 4695.8924, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9824, predictive_accuracy: 0.9833, prior_entropy: 0.1598, recall: 0.9833, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.858, scimark_benchmark: 1744.8652, usercpu_time_millis: 7078.125, usercpu_time_millis_testing: 7046.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9825, kappa: 0.5783, kb_relative_information_score: -657.5386, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9821, predictive_accuracy: 0.9841, prior_entropy: 0.1598, recall: 0.9841, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.7506, scimark_benchmark: 1744.8652, usercpu_time_millis: 1140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.9845, kappa: 0.6308, kb_relative_information_score: 4863.4839, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9843, predictive_accuracy: 0.9858, prior_entropy: 0.1598, recall: 0.9858, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.115, root_relative_squared_error: 0.7631, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.982, kappa: 0.5549, kb_relative_information_score: 727.2898, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9822, predictive_accuracy: 0.9843, prior_entropy: 0.1598, recall: 0.9843, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.7881, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9865, kappa: 0.672, kb_relative_information_score: -193.9197, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9871, predictive_accuracy: 0.9879, prior_entropy: 0.1598, recall: 0.9879, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.6553, scimark_benchmark: 1744.8652, usercpu_time_millis: 4093.75, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 3468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.8668, kappa: 0.0581, kb_relative_information_score: -71981.1681, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.963, predictive_accuracy: 0.7961, prior_entropy: 0.1598, recall: 0.7961, relative_absolute_error: 4.4965, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.426, root_relative_squared_error: 2.8271, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9836, kappa: 0.6073, kb_relative_information_score: 348.7695, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9833, predictive_accuracy: 0.985, prior_entropy: 0.1598, recall: 0.985, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.7873, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,

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