Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 380.3766, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4649, scimark_benchmark: 1329.3503, usercpu_time_millis: 12.482, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 11.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0123, 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: 1308.1265, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 137.7297, mean_absolute_error: 0.3925, 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: 0.7851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8465, scimark_benchmark: 1323.5195, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 521.1524, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.135, scimark_benchmark: 1322.8076, usercpu_time_millis: 17.116, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 15.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 363.7555, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4689, scimark_benchmark: 1336.2596, usercpu_time_millis: 20.187, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 17.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0191, 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: 1336.0923, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 222.0543, mean_absolute_error: 0.3121, 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: 0.6242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764, scimark_benchmark: 1317.5413, usercpu_time_millis: 7.385, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 6.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 459.6435, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2868, scimark_benchmark: 1319.2342, usercpu_time_millis: 10.475, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 9.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 364.1954, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4675, scimark_benchmark: 1309.9218, usercpu_time_millis: 21.896, usercpu_time_millis_testing: 2.697, usercpu_time_millis_training: 19.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, kb_relative_information_score: 0.0011, 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: 1328.0543, usercpu_time_millis: 2.61, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.8687, mean_absolute_error: 0.3518, 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: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8004, scimark_benchmark: 1327.33, usercpu_time_millis: 4.013, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 464.8084, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2767, scimark_benchmark: 1327.4039, usercpu_time_millis: 5.161, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 437.5562, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3532, scimark_benchmark: 1306.3793, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.855, kappa: 0.7158, kb_relative_information_score: 270.1307, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8894, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6624, scimark_benchmark: 1317.219, usercpu_time_millis: 11.197, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 9.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8852, kappa: 0.7734, kb_relative_information_score: 170.448, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9076, predictive_accuracy: 0.8867, prior_entropy: 1, recall: 0.8867, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 1325.9369, usercpu_time_millis: 3.56, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 179.6123, mean_absolute_error: 0.3538, 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: 0.7075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8038, scimark_benchmark: 1308.0409, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 363.2408, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1323.0741, usercpu_time_millis: 16.735, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 14.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7355, kappa: 0.5036, kb_relative_information_score: 98.1794, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8341, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8753, scimark_benchmark: 1330.0354, usercpu_time_millis: 4.518, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 463.5116, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.2798, scimark_benchmark: 1309.3699, usercpu_time_millis: 18.282, usercpu_time_millis_testing: 1.833, usercpu_time_millis_training: 16.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9568, kappa: 0.9137, kb_relative_information_score: 354.791, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9588, predictive_accuracy: 0.9568, prior_entropy: 1, recall: 0.9568, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5252, scimark_benchmark: 1315.6489, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0095, 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: 1314.6852, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 2.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 291.3017, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6337, scimark_benchmark: 1309.8425, usercpu_time_millis: 10.322, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 8.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 427.3871, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3978, scimark_benchmark: 1329.3914, usercpu_time_millis: 9.094, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 8.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.016, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4957, 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: 1313.1507, usercpu_time_millis: 1.997, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 200.6096, mean_absolute_error: 0.335, 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: 0.67, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 1315.0211, usercpu_time_millis: 10.169, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 9.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0118, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, 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: 1325.6586, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 177.9828, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7614, scimark_benchmark: 1314.7978, usercpu_time_millis: 7.652, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 6.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 202.0865, mean_absolute_error: 0.3287, 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: 0.6574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.801, scimark_benchmark: 1331.5093, usercpu_time_millis: 9.345, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 8.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9095, kappa: 0.8201, kb_relative_information_score: 250.6459, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9216, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6641, scimark_benchmark: 1300.9782, usercpu_time_millis: 8.337, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 7.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0507, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1333.3038, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 185.2087, mean_absolute_error: 0.3492, 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: 0.6983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7944, scimark_benchmark: 1312.957, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 370.9654, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.237, root_relative_squared_error: 0.474, scimark_benchmark: 1325.2435, usercpu_time_millis: 8.411, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 7.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, 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: 1321.7944, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.786, kappa: 0.5899, kb_relative_information_score: 196.7578, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8546, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7482, scimark_benchmark: 1308.4606, usercpu_time_millis: 9.79, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 8.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8166, kappa: 0.6439, kb_relative_information_score: 138.0368, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8645, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209, scimark_benchmark: 1299.2863, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5, kb_relative_information_score: -0.0011, 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: 1326.8582, usercpu_time_millis: 2.03, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.7517, mean_absolute_error: 0.4465, 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: 0.893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9072, scimark_benchmark: 1310.6677, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 2.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4949, kb_relative_information_score: -0.0017, 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: 1303.6008, usercpu_time_millis: 3.789, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 3.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 353.0094, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.244, root_relative_squared_error: 0.488, scimark_benchmark: 1289.2667, usercpu_time_millis: 19.426, usercpu_time_millis_testing: 2.605, usercpu_time_millis_training: 16.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8415, kappa: 0.6906, kb_relative_information_score: 151.3524, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8819, predictive_accuracy: 0.8453, prior_entropy: 1, recall: 0.8453, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8012, scimark_benchmark: 1300.5597, usercpu_time_millis: 11.842, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 10.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 173.4538, mean_absolute_error: 0.3624, 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: 0.7248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7954, scimark_benchmark: 1313.8288, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7262, kappa: 0.4856, kb_relative_information_score: 39.6359, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8207, predictive_accuracy: 0.7428, prior_entropy: 1, recall: 0.7428, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9506, scimark_benchmark: 1309.2806, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.812, kappa: 0.6259, kb_relative_information_score: 346.2458, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8196, predictive_accuracy: 0.813, prior_entropy: 1, recall: 0.813, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6392, scimark_benchmark: 1323.694, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 185.2585, mean_absolute_error: 0.3492, 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: 0.6984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7936, scimark_benchmark: 1334.4424, usercpu_time_millis: 3.111, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 2.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 297.6335, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6208, scimark_benchmark: 1332.4175, usercpu_time_millis: 8.896, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 7.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 128.4145, mean_absolute_error: 0.4036, 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: 0.8073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8432, scimark_benchmark: 1306.8405, usercpu_time_millis: 7.185, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 6.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 284.455, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6269, scimark_benchmark: 1326.1685, usercpu_time_millis: 8.753, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 7.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 291.4252, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6252, scimark_benchmark: 1328.6092, usercpu_time_millis: 12.036, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 10.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7623, mean_absolute_error: 0.3366, 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: 0.6733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1329.211, usercpu_time_millis: 2.801, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.1871, mean_absolute_error: 0.356, 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: 0.7119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7885, scimark_benchmark: 1327.4459, usercpu_time_millis: 8.944, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 7.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.8945, kappa: 0.7914, kb_relative_information_score: 304.1421, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9137, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6147, scimark_benchmark: 1328.4514, usercpu_time_millis: 10.508, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 9.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 123.2596, mean_absolute_error: 0.4072, 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: 0.8145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511, scimark_benchmark: 1316.1975, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.6376, mean_absolute_error: 0.3525, 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: 0.705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8247, scimark_benchmark: 1327.0616, usercpu_time_millis: 4.792, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.7527, kappa: 0.5324, kb_relative_information_score: 118.3516, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8407, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8483, scimark_benchmark: 1314.6769, usercpu_time_millis: 9.396, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 8.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.9707, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2118, scimark_benchmark: 1328.7455, usercpu_time_millis: 2.924, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9694, kappa: 0.9388, kb_relative_information_score: 350.6512, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9712, predictive_accuracy: 0.9694, prior_entropy: 1, recall: 0.9694, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5239, scimark_benchmark: 1330.1781, usercpu_time_millis: 4.717, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 4.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.7548, kappa: 0.536, kb_relative_information_score: 185.6786, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8415, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7655, scimark_benchmark: 1305.7777, usercpu_time_millis: 7.104, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 6.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9513, kappa: 0.9029, kb_relative_information_score: 342.424, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9557, predictive_accuracy: 0.9514, prior_entropy: 1, recall: 0.9514, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5429, scimark_benchmark: 1335.5104, usercpu_time_millis: 8.173, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 7.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9568, kappa: 0.9137, kb_relative_information_score: 340.96, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9588, predictive_accuracy: 0.9568, prior_entropy: 1, recall: 0.9568, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.541, scimark_benchmark: 1331.7087, usercpu_time_millis: 2.421, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 82.3617, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8967, scimark_benchmark: 1324.2348, usercpu_time_millis: 4.391, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9404, kappa: 0.8813, kb_relative_information_score: 291.5049, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9469, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.603, scimark_benchmark: 1338.8151, usercpu_time_millis: 2.599, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 219.6766, mean_absolute_error: 0.3139, 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: 0.6278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7688, scimark_benchmark: 1319.9609, usercpu_time_millis: 7.402, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 6.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 447.7721, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3154, scimark_benchmark: 1302.4712, usercpu_time_millis: 8.453, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 7.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9404, kappa: 0.8813, kb_relative_information_score: 320.0609, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9469, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5823, scimark_benchmark: 1303.4352, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7265, kappa: 0.482, kb_relative_information_score: 65.4419, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8058, predictive_accuracy: 0.741, prior_entropy: 1, recall: 0.741, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9195, scimark_benchmark: 1331.6719, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0495, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1307.5211, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 219.1353, mean_absolute_error: 0.3146, 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: 0.6291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1329.3806, usercpu_time_millis: 9.079, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 8.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.8473, kappa: 0.7014, kb_relative_information_score: 279.9864, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.885, predictive_accuracy: 0.8507, prior_entropy: 1, recall: 0.8507, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6532, scimark_benchmark: 1304.8435, usercpu_time_millis: 7.521, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 6.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9277, kappa: 0.8561, kb_relative_information_score: 299.6243, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9371, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6011, scimark_benchmark: 1326.4846, usercpu_time_millis: 9.493, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 8.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 477.7834, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.13, root_relative_squared_error: 0.26, scimark_benchmark: 1322.4937, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, 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: 1286.2652, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 434.4175, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3478, scimark_benchmark: 1324.5714, usercpu_time_millis: 13.271, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 11.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.786, kappa: 0.5899, kb_relative_information_score: 225.7978, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8546, predictive_accuracy: 0.795, prior_entropy: 1, recall: 0.795, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7186, scimark_benchmark: 1330.9957, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 3.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 157.1061, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8059, scimark_benchmark: 1305.5367, usercpu_time_millis: 4.823, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 4.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9313, kappa: 0.8633, kb_relative_information_score: 277.8639, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9399, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6246, scimark_benchmark: 1327.0391, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 3.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 200.0295, mean_absolute_error: 0.333, 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: 0.666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7897, scimark_benchmark: 1314.1626, usercpu_time_millis: 6.032, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 5.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 321.9756, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5475, scimark_benchmark: 1313.6868, usercpu_time_millis: 3.565, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 56.1827, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9298, scimark_benchmark: 1334.6911, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 441.6383, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3224, scimark_benchmark: 1304.8379, usercpu_time_millis: 23.252, usercpu_time_millis_testing: 2.68, usercpu_time_millis_training: 20.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 167.4887, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7767, scimark_benchmark: 1329.4752, usercpu_time_millis: 6.78, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 5.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 403.9646, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4157, scimark_benchmark: 1306.2999, usercpu_time_millis: 6.711, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 6.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 454.8767, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3038, scimark_benchmark: 1329.539, usercpu_time_millis: 10.207, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 9.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 489.3226, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2137, scimark_benchmark: 1332.2149, usercpu_time_millis: 20.737, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 18.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.7463, kappa: 0.5216, kb_relative_information_score: 115.9465, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8382, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8513, scimark_benchmark: 1301.9175, usercpu_time_millis: 5.286, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 4.574,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.902, kappa: 0.8058, kb_relative_information_score: 174.0327, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9187, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7672, scimark_benchmark: 1307.3678, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 207.8432, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7455, scimark_benchmark: 1307.2547, usercpu_time_millis: 8.155, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 7.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0123, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, 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: 1305.847, usercpu_time_millis: 4.543, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 3.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8022, kappa: 0.6187, kb_relative_information_score: 203.9641, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.862, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7372, scimark_benchmark: 1314.7079, usercpu_time_millis: 10.806, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 9.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0163, 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: 1327.1773, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 332.0085, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9649, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5532, scimark_benchmark: 1329.3407, usercpu_time_millis: 2.913, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4929, kappa: -0.0036, kb_relative_information_score: -0.0035, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.3775, usercpu_time_millis: 3.774, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 413.0988, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4023, scimark_benchmark: 1326.4098, usercpu_time_millis: 14.696, usercpu_time_millis_testing: 1.881, usercpu_time_millis_training: 12.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 359.2816, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4823, scimark_benchmark: 1311.471, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8982, kappa: 0.7986, kb_relative_information_score: 176.9819, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9162, predictive_accuracy: 0.8993, prior_entropy: 1, recall: 0.8993, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7629, scimark_benchmark: 1303.4756, usercpu_time_millis: 8.821, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 7.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 331.2477, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9618, predictive_accuracy: 0.9586, prior_entropy: 1, recall: 0.9586, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5524, scimark_benchmark: 1309.3095, usercpu_time_millis: 11.077, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 9.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 378.6245, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4711, scimark_benchmark: 1317.8997, usercpu_time_millis: 8.525, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 7.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 444.0528, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3235, scimark_benchmark: 1323.7024, usercpu_time_millis: 11.307, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 10.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8318, kappa: 0.6727, kb_relative_information_score: 259.9049, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8767, predictive_accuracy: 0.8363, prior_entropy: 1, recall: 0.8363, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741, scimark_benchmark: 1318.1596, usercpu_time_millis: 5.985, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 5.027,

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