Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239377 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 174.5674, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1295.4256, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1296.0692, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 165.7722, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8268, scimark_benchmark: 1303.1702, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 166.798, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8331, scimark_benchmark: 1345.5529, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1283.3392, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1284.002, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 160.4654, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 1306.8124, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.4842, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1316.9518, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 53.9062, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9329, scimark_benchmark: 1295.3483, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1284.9017, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1295.5825, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1311.1613, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.4294, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.157, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1297.0756, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.618, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834, scimark_benchmark: 1297.992, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1291.9055, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.4673, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8393, scimark_benchmark: 1308.7305, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1312.4348, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 139.2202, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8429, scimark_benchmark: 1302.5999, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.3636, usercpu_time_millis: 0.861, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.5911, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 161.4751, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8331, scimark_benchmark: 1285.4, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1311.0625, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1316.713, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.2829, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.826, scimark_benchmark: 1339.401, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.3482, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8327, scimark_benchmark: 1290.6151, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.491, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8408, scimark_benchmark: 1276.6326, usercpu_time_millis: 0.266, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 80.2648, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9013, scimark_benchmark: 1297.6103, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.2738, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1284.3765, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 146.8394, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8379, scimark_benchmark: 1301.1427, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1318.6201, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.2297, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.837, scimark_benchmark: 1297.4081, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.218,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1306.1147, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.8731, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8278, scimark_benchmark: 1303.5347, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.5386, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8411, scimark_benchmark: 1304.1476, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 169.0744, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.829, scimark_benchmark: 1301.1336, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.6467, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8365, scimark_benchmark: 1295.3906, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 156.9395, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8357, scimark_benchmark: 1312.5563, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1302.4658, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.9816, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8309, scimark_benchmark: 1303.9448, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.11,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1309.2666, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 171.9115, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264, scimark_benchmark: 1300.126, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 58.4472, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9275, scimark_benchmark: 1293.8, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.09,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.8866, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8389, scimark_benchmark: 1300.5971, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.1329, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.6451, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356, scimark_benchmark: 1303.3631, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.2866, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 23.508, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 1304.7536, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1307.3549, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1309.0978, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.097,

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