Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
0 likes downloaded by 5 people , 6 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

239379 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0135, 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: 1750.4475, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8777, kappa: 0.759, kb_relative_information_score: 172.0413, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9029, predictive_accuracy: 0.8795, prior_entropy: 1, recall: 0.8795, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7713, scimark_benchmark: 1737.4905, usercpu_time_millis: 0.405, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.3234, mean_absolute_error: 0.353, 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: 0.706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8238, scimark_benchmark: 1722.0725, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 337.3038, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9633, predictive_accuracy: 0.9604, prior_entropy: 1, recall: 0.9604, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.545, scimark_benchmark: 1745.4265, usercpu_time_millis: 2.134, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 414.4272, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3809, scimark_benchmark: 2171.9091, usercpu_time_millis: 2.344, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 519.9292, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1384, scimark_benchmark: 1736.8008, usercpu_time_millis: 1.717, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 153.6213, mean_absolute_error: 0.3825, 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: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1752.736, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0173, 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: 1741.7226, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 120.8662, mean_absolute_error: 0.4095, 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: 0.819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8543, scimark_benchmark: 1736.3456, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 160.3304, mean_absolute_error: 0.377, 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: 0.754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8007, scimark_benchmark: 1085.4287, usercpu_time_millis: 2.432, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 75.4671, mean_absolute_error: 0.4467, 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: 0.8935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9075, scimark_benchmark: 1068.0065, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4796, kb_relative_information_score: -0.0045, 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: 1083.9582, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 215.0368, mean_absolute_error: 0.3174, 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: 0.6348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788, scimark_benchmark: 1741.7566, usercpu_time_millis: 2.017, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 399.1491, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4331, scimark_benchmark: 1742.9568, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4751, 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: 0.4957, 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: 1736.6871, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9005, kappa: 0.8022, kb_relative_information_score: 294.017, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9109, predictive_accuracy: 0.9011, prior_entropy: 1, recall: 0.9011, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6305, scimark_benchmark: 1733.0619, usercpu_time_millis: 0.067, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.7695, kappa: 0.5612, kb_relative_information_score: 261.9027, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8475, predictive_accuracy: 0.7806, prior_entropy: 1, recall: 0.7806, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 1745.7661, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 422.9287, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3731, scimark_benchmark: 1746.226, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0058, 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: 1742.0962, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 0.0007, 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: 1741.5952, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.011, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1749.2578, usercpu_time_millis: 1.003, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 295.9212, mean_absolute_error: 0.2572, 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: 0.5144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6167, scimark_benchmark: 1772.1043, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 155.8716, mean_absolute_error: 0.3805, 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: 0.761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8063, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 470.4854, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2598, scimark_benchmark: 1746.6883, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 371.6318, mean_absolute_error: 0.1968, 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: 0.3935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4549, scimark_benchmark: 1708.1054, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4982, kappa: -0.0036, kb_relative_information_score: -0.0159, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4982, 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: 1748.0598, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 463.8173, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2752, scimark_benchmark: 1722.5797, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 199.3604, mean_absolute_error: 0.3337, 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: 0.6673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7901, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 78.5605, mean_absolute_error: 0.4443, 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: 0.8886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9037, scimark_benchmark: 1736.6976, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0176, 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: 1737.0878, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9185, kappa: 0.8381, kb_relative_information_score: 181.3913, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9303, predictive_accuracy: 0.9191, prior_entropy: 1, recall: 0.9191, relative_absolute_error: 0.7326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7562, scimark_benchmark: 1743.469, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 277.6047, mean_absolute_error: 0.2758, 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: 0.5517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6363, scimark_benchmark: 1749.3291, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 362.2146, mean_absolute_error: 0.2003, 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: 0.4006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.4982, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.107, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.5652, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7739, scimark_benchmark: 1741.1835, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9057, kappa: 0.813, kb_relative_information_score: 177.1609, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9212, predictive_accuracy: 0.9065, prior_entropy: 1, recall: 0.9065, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7624, scimark_benchmark: 1759.0862, usercpu_time_millis: 3.469, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 343.6488, mean_absolute_error: 0.2224, 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: 0.4447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5087, scimark_benchmark: 1734.0805, usercpu_time_millis: 4.834, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 4.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 432.6023, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3494, scimark_benchmark: 1762.4007, usercpu_time_millis: 3.112, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 424.3767, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3746, scimark_benchmark: 1748.484, usercpu_time_millis: 3.238, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 2.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8435, kappa: 0.6942, kb_relative_information_score: 153.7292, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8829, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.399, root_relative_squared_error: 0.7979, scimark_benchmark: 1758.3336, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 461.9433, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2808, scimark_benchmark: 1734.5311, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9712, kappa: 0.9424, kb_relative_information_score: 344.9885, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9728, predictive_accuracy: 0.9712, prior_entropy: 1, recall: 0.9712, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5314, scimark_benchmark: 1745.7661, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 176.6915, mean_absolute_error: 0.3534, 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: 0.7068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1750.3253, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8435, kappa: 0.6942, kb_relative_information_score: 150.3057, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8829, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8022, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.0074, 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: 2092.4935, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9838, kappa: 0.9676, kb_relative_information_score: 395.8139, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 1, recall: 0.9838, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4413, scimark_benchmark: 1749.5206, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 519.2689, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.1396, scimark_benchmark: 1757.9869, usercpu_time_millis: 5.114, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 4.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 210.0487, mean_absolute_error: 0.3244, 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: 0.6489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7727, scimark_benchmark: 1749.1781, usercpu_time_millis: 1.654, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.7544, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2487, scimark_benchmark: 1805.6573, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.7505, kappa: 0.5288, kb_relative_information_score: 176.0204, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8399, predictive_accuracy: 0.7644, prior_entropy: 1, recall: 0.7644, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7778, scimark_benchmark: 1807.6775, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.7377, kappa: 0.5072, kb_relative_information_score: 87.4349, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8349, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8895, scimark_benchmark: 1752.7877, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 200.3407, mean_absolute_error: 0.3333, 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: 0.6666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862, scimark_benchmark: 1821.0631, usercpu_time_millis: 1.694, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 316.8492, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5565, scimark_benchmark: 1757.5075, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 372.4767, mean_absolute_error: 0.1913, 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: 0.3826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4778, scimark_benchmark: 1806.6237, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.742, kappa: 0.5144, kb_relative_information_score: 174.7066, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8366, predictive_accuracy: 0.7572, prior_entropy: 1, recall: 0.7572, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806, scimark_benchmark: 1821.5659, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 158.0641, mean_absolute_error: 0.3754, 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: 0.7508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182, scimark_benchmark: 1849.5861, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 348.2153, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5313, scimark_benchmark: 1748.4568, usercpu_time_millis: 3.065, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 150.278, mean_absolute_error: 0.3825, 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: 0.7649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266, scimark_benchmark: 1817.8676, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 198.3918, mean_absolute_error: 0.3403, 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: 0.6806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7625, scimark_benchmark: 1820.0655, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 444.1836, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3261, scimark_benchmark: 1760.8497, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 453.8357, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3017, scimark_benchmark: 1760.4777, usercpu_time_millis: 2.262, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 387.4507, mean_absolute_error: 0.1814, 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: 0.3628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.426, scimark_benchmark: 1746.6734, usercpu_time_millis: 3.169, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9802, kappa: 0.9604, kb_relative_information_score: 322.1137, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.981, predictive_accuracy: 0.9802, prior_entropy: 1, recall: 0.9802, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5459, scimark_benchmark: 1742.9338, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8062, kappa: 0.6259, kb_relative_information_score: 138.9172, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8639, predictive_accuracy: 0.813, prior_entropy: 1, recall: 0.813, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8193, scimark_benchmark: 1725.8764, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9332, kappa: 0.8669, kb_relative_information_score: 279.1719, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9413, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6219, scimark_benchmark: 1751.597, usercpu_time_millis: 2.693, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 2.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 155.1044, mean_absolute_error: 0.3787, 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: 0.7574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8187, scimark_benchmark: 1861.1115, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 430.678, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3478, scimark_benchmark: 1742.8208, usercpu_time_millis: 3.54, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 409.9606, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4043, scimark_benchmark: 1764.9505, usercpu_time_millis: 3.595, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 3.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 514.0615, mean_absolute_error: 0.0472, 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: 0.0944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1814, scimark_benchmark: 1774.0157, usercpu_time_millis: 2.66, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 386.3952, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4265, scimark_benchmark: 1802.2048, usercpu_time_millis: 4.212, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 3.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 138.943, mean_absolute_error: 0.3918, 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: 0.7835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8442, scimark_benchmark: 1773.1618, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8408, kappa: 0.6871, kb_relative_information_score: 254.9705, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.869, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6852, scimark_benchmark: 1766.1667, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 376.4035, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4708, scimark_benchmark: 1808.4856, usercpu_time_millis: 3.043, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9423, kappa: 0.8849, kb_relative_information_score: 318.2118, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9484, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, scimark_benchmark: 1798.7673, usercpu_time_millis: 2.496, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8908, kappa: 0.7842, kb_relative_information_score: 164.7587, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9112, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806, scimark_benchmark: 1805.6217, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0143, 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: 1798.6919, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 363.4612, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4682, scimark_benchmark: 1755.4208, usercpu_time_millis: 5.813, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 5.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 477.9265, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2412, scimark_benchmark: 1783.023, usercpu_time_millis: 5.556, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 4.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0115, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.0466, usercpu_time_millis: 1.25, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 470.6013, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2649, scimark_benchmark: 1246.4459, usercpu_time_millis: 5.331, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 4.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8141, kappa: 0.6403, kb_relative_information_score: 143.1669, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8677, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8129, scimark_benchmark: 1748.5945, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 2.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.913, kappa: 0.8273, kb_relative_information_score: 290.9194, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9264, predictive_accuracy: 0.9137, prior_entropy: 1, recall: 0.9137, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6174, scimark_benchmark: 1730.8508, usercpu_time_millis: 2.521, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 444.2507, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3234, scimark_benchmark: 1788.74, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 421.0741, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3794, scimark_benchmark: 2145.6595, usercpu_time_millis: 3.013, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 46.1991, mean_absolute_error: 0.4689, 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: 0.9379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9423, scimark_benchmark: 1233.4392, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4811, kappa: 0.0036, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5021, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1239.5845, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4751, kappa: -0.0072, kb_relative_information_score: -0.0259, 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: 1.0001, scimark_benchmark: 2146.9817, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 471.9393, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2589, scimark_benchmark: 1814.4986, usercpu_time_millis: 1.224, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 438.4572, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3403, scimark_benchmark: 1818.1451, usercpu_time_millis: 4.244, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 3.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 176.99, mean_absolute_error: 0.3533, 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: 0.7067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8242, scimark_benchmark: 2115.141, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 336.4858, mean_absolute_error: 0.2291, 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: 0.4583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5202, scimark_benchmark: 1767.268, usercpu_time_millis: 4.782, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 4.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7623, mean_absolute_error: 0.3367, 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: 0.6734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8213, scimark_benchmark: 1803.9473, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0122, 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: 1807.055, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8531, kappa: 0.7122, kb_relative_information_score: 285.524, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8883, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6496, scimark_benchmark: 1755.3111, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.008, 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: 1850.0944, usercpu_time_millis: 0.826, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.7377, kappa: 0.5072, kb_relative_information_score: 205.0828, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8349, predictive_accuracy: 0.7536, prior_entropy: 1, recall: 0.7536, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7495, scimark_benchmark: 1747.1377, usercpu_time_millis: 1.139, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0102, 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: 1766.2974, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 484.5381, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.2256, scimark_benchmark: 1772.9547, usercpu_time_millis: 6.068, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 5.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 474.0576, 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: 0.1862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2502, scimark_benchmark: 1752.6577, usercpu_time_millis: 5.236, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 363.8652, mean_absolute_error: 0.2045, 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: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4679, scimark_benchmark: 1772.9547, usercpu_time_millis: 5.037, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 4.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 521.2771, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1448, scimark_benchmark: 1779.9133, usercpu_time_millis: 3.281, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.92,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs