Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.526, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2426, scimark_benchmark: 1282.5293, usercpu_time_millis: 24.363, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 24.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1281.3078, usercpu_time_millis: 11.802, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 11.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 85.2892, mean_absolute_error: 0.439, 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: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954, scimark_benchmark: 1292.6762, usercpu_time_millis: 8.483, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 8.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 526.119, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.0963, scimark_benchmark: 1301.0764, usercpu_time_millis: 42.797, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 42.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1275.0439, usercpu_time_millis: 20.398, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 20.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 146.3733, mean_absolute_error: 0.3831, 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: 0.7663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8471, scimark_benchmark: 1300.5426, usercpu_time_millis: 29.168, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 29.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.3626, 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: 0.6899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8344, scimark_benchmark: 1297.0527, usercpu_time_millis: 7.583, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 90.4816, mean_absolute_error: 0.4342, 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: 0.8684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8922, scimark_benchmark: 1297.6786, usercpu_time_millis: 12.13, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.33, mean_absolute_error: 0.3486, 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: 0.6973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8247, scimark_benchmark: 1289.8251, usercpu_time_millis: 27.239, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 27.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 142.4107, mean_absolute_error: 0.3886, 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: 0.7773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8406, scimark_benchmark: 1301.4479, usercpu_time_millis: 19.87, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0114, 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: 1297.8459, usercpu_time_millis: 14.527, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 14.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.9645, 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: 0.4195, root_relative_squared_error: 0.8391, scimark_benchmark: 1280.9209, usercpu_time_millis: 2.54, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1280.3732, usercpu_time_millis: 10.057, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 10.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0122, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, 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: 1288.7426, usercpu_time_millis: 19.944, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 19.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0076, 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: 1299.4936, usercpu_time_millis: 6.182, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.0611, mean_absolute_error: 0.3445, 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: 0.689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 1276.338, usercpu_time_millis: 23.516, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.731, mean_absolute_error: 0.3448, 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: 0.6896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1274.2508, usercpu_time_millis: 27.089, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.078,
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: 1274.1249, usercpu_time_millis: 11.915, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 11.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.2146, usercpu_time_millis: 47.077, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 46.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.6933, 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: 0.4155, root_relative_squared_error: 0.831, scimark_benchmark: 1288.5163, usercpu_time_millis: 28.71, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.2543, mean_absolute_error: 0.3455, 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: 0.691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1300.328, usercpu_time_millis: 8.096, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 11.7201, mean_absolute_error: 0.4926, 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: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 1299.328, usercpu_time_millis: 12.894, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 12.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1277.1794, usercpu_time_millis: 30.677, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 30.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5, kb_relative_information_score: -0.0088, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1275.5784, usercpu_time_millis: 38.141, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 37.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 152.4882, mean_absolute_error: 0.3769, 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: 0.7539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8448, scimark_benchmark: 1276.1945, usercpu_time_millis: 26.994, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.983,
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: 1280.2567, usercpu_time_millis: 13.059, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 13.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1282.0137, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4696, kappa: 0.0036, kb_relative_information_score: -0.0541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5024, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1299.2072, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 149.694, mean_absolute_error: 0.3809, 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: 0.7618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1304.8242, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.8064, usercpu_time_millis: 26.351, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 26.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 159.7294, mean_absolute_error: 0.3703, 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: 0.7405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8393, scimark_benchmark: 1316.1257, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 175.5377, mean_absolute_error: 0.3553, 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: 0.7105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8234, scimark_benchmark: 1302.4782, usercpu_time_millis: 3.143, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.4053, mean_absolute_error: 0.344, 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: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1293.0668, usercpu_time_millis: 31.79, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 31.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.1039, mean_absolute_error: 0.3466, 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: 0.6931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1301.8826, usercpu_time_millis: 24.184, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 24.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 9.359, mean_absolute_error: 0.4941, 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: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1270.5178, usercpu_time_millis: 28.593, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.582,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.0068, mean_absolute_error: 0.348, 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: 0.696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, scimark_benchmark: 1296.6057, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.19,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7217, kappa: 0.4748, kb_relative_information_score: 151.589, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8065, predictive_accuracy: 0.7374, prior_entropy: 1, recall: 0.7374, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8469, scimark_benchmark: 1277.9987, usercpu_time_millis: 26.086, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 25.84,
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: 1297.3412, usercpu_time_millis: 31.746, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 31.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 130.2701, mean_absolute_error: 0.3999, 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: 0.7997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8505, scimark_benchmark: 1278.6005, usercpu_time_millis: 32.915, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 32.705,
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: 1299.8207, usercpu_time_millis: 2.572, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1286.0079, usercpu_time_millis: 10.634, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 10.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 45.8107, mean_absolute_error: 0.4692, 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: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9428, scimark_benchmark: 1284.747, usercpu_time_millis: 14.302, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 14.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0105, 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: 1269.2928, usercpu_time_millis: 2.901, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 178.5047, mean_absolute_error: 0.3504, 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: 0.7008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8334, scimark_benchmark: 1292.5697, usercpu_time_millis: 28.807, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 131.3718, mean_absolute_error: 0.3991, 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: 0.7981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8492, scimark_benchmark: 1295.5227, usercpu_time_millis: 29.707, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 29.697,
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: 1274.8623, usercpu_time_millis: 22.461, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 22.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.7979, usercpu_time_millis: 13.044, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 12.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.5532, mean_absolute_error: 0.3447, 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: 0.6894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.835, scimark_benchmark: 1278.8937, usercpu_time_millis: 23.202, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.191,
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: 1269.4575, usercpu_time_millis: 9.917, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1301.7692, usercpu_time_millis: 23.892, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 23.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.7652, usercpu_time_millis: 26.645, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 26.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.0466, mean_absolute_error: 0.3468, 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: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8394, scimark_benchmark: 1299.2774, usercpu_time_millis: 7.097, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 537.8851, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.0578, scimark_benchmark: 1271.5292, usercpu_time_millis: 22.605, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 22.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0092, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, 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: 1299.9805, usercpu_time_millis: 45.187, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 44.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.4589, mean_absolute_error: 0.3451, 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: 0.6901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8412, scimark_benchmark: 1279.9727, usercpu_time_millis: 15.388, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 15.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1213, mean_absolute_error: 0.3444, 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: 0.6887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1272.126, usercpu_time_millis: 27.524, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1164, mean_absolute_error: 0.3445, 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: 0.689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, scimark_benchmark: 1299.6489, usercpu_time_millis: 12.973, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 45.1703, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8285, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.944, scimark_benchmark: 1274.8899, usercpu_time_millis: 6.697, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.3333, kb_relative_information_score: 4.4822, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1294.3598, usercpu_time_millis: 25.92, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 25.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.3542, mean_absolute_error: 0.3441, 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: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8414, scimark_benchmark: 1273.1969, usercpu_time_millis: 26.734, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 26.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 119.6208, mean_absolute_error: 0.4098, 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: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8597, scimark_benchmark: 1281.6744, usercpu_time_millis: 16.921, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 16.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9295, kappa: 0.8597, kb_relative_information_score: 293.3849, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9385, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6047, scimark_benchmark: 1297.8258, usercpu_time_millis: 12.353, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 12.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 367.7881, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4662, scimark_benchmark: 1281.6827, usercpu_time_millis: 117.068, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 116.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 21.5898, mean_absolute_error: 0.4861, 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: 0.9721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.973, scimark_benchmark: 1297.8446, usercpu_time_millis: 18.195, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 18.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 51.0188, mean_absolute_error: 0.4655, 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: 0.931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9363, scimark_benchmark: 1292.0693, usercpu_time_millis: 14.962, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.951,

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