OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

915 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.7551, kappa: 0.509, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7562, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 75.1367, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1292, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4919, kappa: -0.0178, kb_relative_information_score: -1.3529, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.4931, predictive_accuracy: 0.5, prior_entropy: 0.9968, recall: 0.5, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4174, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 119.4202, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.922, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6266, kappa: 0.2543, kb_relative_information_score: 55.0079, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6363, predictive_accuracy: 0.6346, prior_entropy: 0.9968, recall: 0.6346, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.2117, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7579, kappa: 0.5132, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7613, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7293, kappa: 0.4555, kb_relative_information_score: 95.2656, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7312, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0401, usercpu_time_millis: 115.22, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 115.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 79.1625, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1119, usercpu_time_millis: 3.408, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 2.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7549, kappa: 0.5077, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.755, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 5.118, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7694, kappa: 0.537, kb_relative_information_score: 111.3687, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7696, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.963, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6733, kappa: 0.344, kb_relative_information_score: 71.111, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6736, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1461, usercpu_time_millis: 1.377, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.7505, kappa: 0.5006, kb_relative_information_score: 105.33, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7624, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9926, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8497, kappa: 0.698, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8554, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7323, kappa: 0.4628, kb_relative_information_score: 97.2785, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7392, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0308, usercpu_time_millis: 187.692, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 186.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8343, kappa: 0.6677, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8452, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, usercpu_time_millis: 2.081, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8339, kappa: 0.6673, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8476, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, usercpu_time_millis: 16.206, usercpu_time_millis_testing: 1.982, usercpu_time_millis_training: 14.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8206, kappa: 0.6396, kb_relative_information_score: 133.5104, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8258, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8454, usercpu_time_millis: 30.094, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 29.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.495, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7647, kappa: 0.5282, kb_relative_information_score: 109.3558, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7658, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9729, usercpu_time_millis: 0.484, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7962, kappa: 0.5906, kb_relative_information_score: 123.446, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8018, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9008, usercpu_time_millis: 29.445, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 27.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.4886, kappa: 0.1309, kb_relative_information_score: 36.8919, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7686, predictive_accuracy: 0.5913, prior_entropy: 0.9968, recall: 0.5913, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6393, root_relative_squared_error: 1.2814, usercpu_time_millis: 3.328, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 3.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8455, kappa: 0.6893, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6632, kappa: 0.323, kb_relative_information_score: 67.0852, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6631, predictive_accuracy: 0.6635, prior_entropy: 0.9968, recall: 0.6635, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5801, root_relative_squared_error: 1.1629, usercpu_time_millis: 4.822, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8406, kappa: 0.6794, kb_relative_information_score: 141.5619, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.843, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7984, usercpu_time_millis: 1.533, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8453, kappa: 0.6889, kb_relative_information_score: 142.4705, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7822, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.686, kappa: 0.3814, kb_relative_information_score: 77.3528, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7017, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0459, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 86.9411, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8075, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1336.8944, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.686, kappa: 0.3814, kb_relative_information_score: 77.3528, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7017, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0459, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.686, kappa: 0.3814, kb_relative_information_score: 77.3528, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7017, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0459, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8453, kappa: 0.6889, kb_relative_information_score: 142.4705, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7822, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1851.1033, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 86.9411, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8075, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1850.8887, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7501, kappa: 0.4984, kb_relative_information_score: 101.139, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9666, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8206, kappa: 0.6396, kb_relative_information_score: 133.5104, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8258, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 119.4202, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.6906, kappa: 0.3913, kb_relative_information_score: 77.5538, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7077, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0357, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 1732.2066, usercpu_time_millis: 249.6016, usercpu_time_millis_training: 249.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 58.7591, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.978, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6707, kappa: 0.338, kb_relative_information_score: 60.2948, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6728, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9734, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8487, kappa: 0.6968, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8615, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7404, kappa: 0.4784, kb_relative_information_score: 99.2914, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7404, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0214, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8497, kappa: 0.698, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8554, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739, usercpu_time_millis: 3.434, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8497, kappa: 0.698, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8554, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739, usercpu_time_millis: 2.914, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 117.7252, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7086, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8126, kappa: 0.6235, kb_relative_information_score: 109.0409, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8127, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7205, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7303, kappa: 0.4577, kb_relative_information_score: 78.8349, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7304, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7955, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7692, kappa: 0.5364, kb_relative_information_score: 90.2743, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7725, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8559, kappa: 0.7114, kb_relative_information_score: 138.0364, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8575, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7108, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8028, kappa: 0.6078, kb_relative_information_score: 128.9711, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8111, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7278, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7449, kappa: 0.4871, kb_relative_information_score: 89.5347, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7449, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9098, scimark_benchmark: 940.9896, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7597, kappa: 0.5177, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.76, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7834, kappa: 0.5645, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324, scimark_benchmark: 1305.4556, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7451, kappa: 0.4877, kb_relative_information_score: 91.025, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.745, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8263, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7695, kappa: 0.5382, kb_relative_information_score: 96.5446, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.771, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8766, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.726, kappa: 0.4498, kb_relative_information_score: 80.0567, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7262, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.943, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7545, kappa: 0.5064, kb_relative_information_score: 104.3701, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7545, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8994, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7551, kappa: 0.5102, kb_relative_information_score: 98.5351, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7581, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9504, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 129.9486, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7929, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7017, kappa: 0.4004, kb_relative_information_score: 80.0827, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7016, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0705, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8347, kappa: 0.6681, kb_relative_information_score: 87.3206, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8431, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7133, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 58.0046, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9675, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7791, kappa: 0.5568, kb_relative_information_score: 102.8837, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7798, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8693, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 129.9486, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7929, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7455, kappa: 0.491, kb_relative_information_score: 96.63, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7485, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9551, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7787, kappa: 0.5551, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7787, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.7066, kappa: 0.4104, kb_relative_information_score: 82.9464, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7066, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0557, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 87.3882, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7154, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 58.764, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.97, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6921, kappa: 0.381, kb_relative_information_score: 69.4278, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.692, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0272, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 129.9486, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7929, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7551, kappa: 0.5096, kb_relative_information_score: 98.4517, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7571, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9454, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7787, kappa: 0.5551, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7787, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, scimark_benchmark: 1308.6624, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1316.6638, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7738, kappa: 0.5451, kb_relative_information_score: 107.5921, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7738, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8912, scimark_benchmark: 1416.417, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7865, kappa: 0.5711, kb_relative_information_score: 119.4202, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7919, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.922, scimark_benchmark: 1377.4309, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 1742.8208, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 1742.8208, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,

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