OpenML
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 4429 Supervised Classification vinnie 216 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

216 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8366, kappa: 0.6728, kb_relative_information_score: 2135.7516, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6818, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 2099.8469, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.692, scimark_benchmark: 1363.7016, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8455, kappa: 0.6913, kb_relative_information_score: 2237.7012, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8467, predictive_accuracy: 0.8455, prior_entropy: 0.9995, recall: 0.8455, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6961, scimark_benchmark: 1274.7011, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 2516.7118, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8317, predictive_accuracy: 0.8313, prior_entropy: 0.9995, recall: 0.8313, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8217, scimark_benchmark: 1360.9406, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 2099.8469, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.692, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2130.3456, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6881, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1315.2176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 2516.7118, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8317, predictive_accuracy: 0.8313, prior_entropy: 0.9995, recall: 0.8313, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8217, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2130.3456, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6881, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8455, kappa: 0.6913, kb_relative_information_score: 2237.7012, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8467, predictive_accuracy: 0.8455, prior_entropy: 0.9995, recall: 0.8455, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6961, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8441, kappa: 0.688, kb_relative_information_score: 2150.3395, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8443, predictive_accuracy: 0.8442, prior_entropy: 0.9995, recall: 0.8442, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6878, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 2060.8317, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6678, scimark_benchmark: 1288.1375, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8366, kappa: 0.6733, kb_relative_information_score: 2110.6866, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8372, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7185, scimark_benchmark: 1339.0817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1339.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8441, kappa: 0.688, kb_relative_information_score: 2150.3395, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8443, predictive_accuracy: 0.8442, prior_entropy: 0.9995, recall: 0.8442, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6878, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8365, kappa: 0.6728, kb_relative_information_score: 2125.2847, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6807, scimark_benchmark: 1371.9645, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8426, kappa: 0.6857, kb_relative_information_score: 2236.3215, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8451, predictive_accuracy: 0.8426, prior_entropy: 0.9995, recall: 0.8426, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6962, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8441, kappa: 0.688, kb_relative_information_score: 2150.3395, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8443, predictive_accuracy: 0.8442, prior_entropy: 0.9995, recall: 0.8442, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6878, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8423, kappa: 0.6844, kb_relative_information_score: 2144.5193, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8424, predictive_accuracy: 0.8424, prior_entropy: 0.9995, recall: 0.8424, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6893, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8344, kappa: 0.6686, kb_relative_information_score: 2127.5358, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8345, predictive_accuracy: 0.8345, prior_entropy: 0.9995, recall: 0.8345, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6809, scimark_benchmark: 892.0148, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8439, kappa: 0.6874, kb_relative_information_score: 2594.992, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8441, predictive_accuracy: 0.8439, prior_entropy: 0.9995, recall: 0.8439, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7903, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8186, kappa: 0.637, kb_relative_information_score: 1100.4157, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8187, predictive_accuracy: 0.8187, prior_entropy: 0.9995, recall: 0.8187, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7579, kappa: 0.5154, kb_relative_information_score: 1960.1617, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7584, predictive_accuracy: 0.7582, prior_entropy: 0.9995, recall: 0.7582, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9839, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8436, kappa: 0.6869, kb_relative_information_score: 2008.1809, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8438, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7196, scimark_benchmark: 833.3193, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2003.794, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7223, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2130.3456, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6881, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8436, kappa: 0.687, kb_relative_information_score: 2141.4805, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8437, predictive_accuracy: 0.8437, prior_entropy: 0.9995, recall: 0.8437, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8426, kappa: 0.6857, kb_relative_information_score: 2234.1635, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8451, predictive_accuracy: 0.8426, prior_entropy: 0.9995, recall: 0.8426, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6961, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7667, kappa: 0.533, kb_relative_information_score: 2026.227, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7669, predictive_accuracy: 0.7668, prior_entropy: 0.9995, recall: 0.7668, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9661, scimark_benchmark: 1328.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8366, kappa: 0.673, kb_relative_information_score: 2102.4578, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6901, scimark_benchmark: 996.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.84, kappa: 0.6799, kb_relative_information_score: 2011.1657, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9995, recall: 0.84, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7242, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8321, kappa: 0.6641, kb_relative_information_score: 1838.142, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8323, predictive_accuracy: 0.8321, prior_entropy: 0.9995, recall: 0.8321, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7015, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 1141.0113, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7981, scimark_benchmark: 1317.0962, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8376, kappa: 0.6751, kb_relative_information_score: 1144.5204, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8388, predictive_accuracy: 0.8379, prior_entropy: 0.9995, recall: 0.8379, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.7988, scimark_benchmark: 1299.9482, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8378, kappa: 0.6753, kb_relative_information_score: 2245.442, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8382, predictive_accuracy: 0.8379, prior_entropy: 0.9995, recall: 0.8379, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6675, scimark_benchmark: 1329.8902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8402, kappa: 0.6801, kb_relative_information_score: 2235.1327, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8404, predictive_accuracy: 0.8403, prior_entropy: 0.9995, recall: 0.8403, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6694, scimark_benchmark: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8366, kappa: 0.6728, kb_relative_information_score: 2135.7516, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6818, scimark_benchmark: 1182.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 2516.7118, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8317, predictive_accuracy: 0.8313, prior_entropy: 0.9995, recall: 0.8313, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8217, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8268, kappa: 0.654, kb_relative_information_score: 1957.5114, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8283, predictive_accuracy: 0.8268, prior_entropy: 0.9995, recall: 0.8268, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.75, scimark_benchmark: 1281.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8268, kappa: 0.654, kb_relative_information_score: 1957.5114, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8283, predictive_accuracy: 0.8268, prior_entropy: 0.9995, recall: 0.8268, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.75, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8441, kappa: 0.688, kb_relative_information_score: 2150.3395, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8443, predictive_accuracy: 0.8442, prior_entropy: 0.9995, recall: 0.8442, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6878, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8431, kappa: 0.686, kb_relative_information_score: 2240.148, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8432, predictive_accuracy: 0.8432, prior_entropy: 0.9995, recall: 0.8432, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6628, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8426, kappa: 0.6849, kb_relative_information_score: 2234.1728, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8426, predictive_accuracy: 0.8426, prior_entropy: 0.9995, recall: 0.8426, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6639, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8383, kappa: 0.6763, kb_relative_information_score: 2570.7653, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8387, predictive_accuracy: 0.8384, prior_entropy: 0.9995, recall: 0.8384, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8042, scimark_benchmark: 1301.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8389, kappa: 0.6777, kb_relative_information_score: 2053.0339, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 0.9995, recall: 0.8389, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6705, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8402, kappa: 0.6801, kb_relative_information_score: 2242.5761, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8403, predictive_accuracy: 0.8403, prior_entropy: 0.9995, recall: 0.8403, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6659, scimark_benchmark: 1276.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8358, kappa: 0.6714, kb_relative_information_score: 2096.4914, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8358, predictive_accuracy: 0.8358, prior_entropy: 0.9995, recall: 0.8358, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6904, scimark_benchmark: 1326.9922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.8366, kappa: 0.6729, kb_relative_information_score: 1984.4254, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 0.9995, recall: 0.8366, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.73, scimark_benchmark: 1316.7863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 2000.3589, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7244, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 2181.8365, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8245, predictive_accuracy: 0.8239, prior_entropy: 0.9995, recall: 0.8239, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6868, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 1166.2533, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7937, scimark_benchmark: 915.6729, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.838, kappa: 0.6758, kb_relative_information_score: 2246.0607, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8384, predictive_accuracy: 0.8382, prior_entropy: 0.9995, recall: 0.8382, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6678, scimark_benchmark: 1344.3348, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8378, kappa: 0.6753, kb_relative_information_score: 2246.0804, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8381, predictive_accuracy: 0.8379, prior_entropy: 0.9995, recall: 0.8379, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6678, scimark_benchmark: 942.6843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2235.8592, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.672, scimark_benchmark: 1315.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.751, kappa: 0.5147, kb_relative_information_score: 972.9079, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.794, predictive_accuracy: 0.7597, prior_entropy: 0.9995, recall: 0.7597, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8373, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.545, kappa: 0.2309, kb_relative_information_score: 432.632, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7723, predictive_accuracy: 0.6079, prior_entropy: 0.9995, recall: 0.6079, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9207, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8384, kappa: 0.6768, kb_relative_information_score: 2570.7653, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8386, predictive_accuracy: 0.8384, prior_entropy: 0.9995, recall: 0.8384, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8042, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8392, kappa: 0.678, kb_relative_information_score: 1956.3304, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8393, predictive_accuracy: 0.8392, prior_entropy: 0.9995, recall: 0.8392, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.793, kappa: 0.5856, kb_relative_information_score: 1025.4752, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7934, predictive_accuracy: 0.7932, prior_entropy: 0.9995, recall: 0.7932, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.826, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8373, kappa: 0.6744, kb_relative_information_score: 2129.328, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8374, predictive_accuracy: 0.8374, prior_entropy: 0.9995, recall: 0.8374, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6815, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8373, kappa: 0.6744, kb_relative_information_score: 2137.4527, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8374, predictive_accuracy: 0.8374, prior_entropy: 0.9995, recall: 0.8374, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6805, scimark_benchmark: 924.3698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 2000.3589, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7244, scimark_benchmark: 924.1296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8454, kappa: 0.6906, kb_relative_information_score: 2244.6639, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8457, predictive_accuracy: 0.8455, prior_entropy: 0.9995, recall: 0.8455, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6715, scimark_benchmark: 924.3698, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2248.4414, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6744, scimark_benchmark: 915.9693, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2249.4168, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6748, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2280.2708, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.68, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2218.137, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6992, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8423, kappa: 0.6852, kb_relative_information_score: 2216.0966, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8451, predictive_accuracy: 0.8424, prior_entropy: 0.9995, recall: 0.8424, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.696, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8426, kappa: 0.6857, kb_relative_information_score: 2233.1594, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8451, predictive_accuracy: 0.8426, prior_entropy: 0.9995, recall: 0.8426, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6962, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.84, kappa: 0.6797, kb_relative_information_score: 2582.7771, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9995, recall: 0.84, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8003, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.3527, kappa: 0.0044, kb_relative_information_score: 112.3353, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7507, predictive_accuracy: 0.5153, prior_entropy: 0.9995, recall: 0.5153, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6962, root_relative_squared_error: 1.3929, scimark_benchmark: 1331.6907, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 2498.694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.847, kappa: 0.6937, kb_relative_information_score: 1725.8777, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8473, predictive_accuracy: 0.8471, prior_entropy: 0.9995, recall: 0.8471, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6989, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7579, kappa: 0.5154, kb_relative_information_score: 1960.1617, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7584, predictive_accuracy: 0.7582, prior_entropy: 0.9995, recall: 0.7582, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9839, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.84, kappa: 0.6797, kb_relative_information_score: 2200.9871, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9995, recall: 0.84, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6627, scimark_benchmark: 908.2231, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8455, kappa: 0.6913, kb_relative_information_score: 2237.7012, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8467, predictive_accuracy: 0.8455, prior_entropy: 0.9995, recall: 0.8455, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6961, scimark_benchmark: 1250.8301, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8426, kappa: 0.6857, kb_relative_information_score: 2236.3215, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8451, predictive_accuracy: 0.8426, prior_entropy: 0.9995, recall: 0.8426, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6962, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8363, kappa: 0.6725, kb_relative_information_score: 2045.8408, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8363, predictive_accuracy: 0.8363, prior_entropy: 0.9995, recall: 0.8363, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7185, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8379, kappa: 0.6757, kb_relative_information_score: 2019.3362, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.838, predictive_accuracy: 0.8379, prior_entropy: 0.9995, recall: 0.8379, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7275, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7816, kappa: 0.5628, kb_relative_information_score: 2138.3378, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.7816, predictive_accuracy: 0.7816, prior_entropy: 0.9995, recall: 0.7816, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.935, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.6144, kappa: 0.2553, kb_relative_information_score: 943.1565, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.6455, predictive_accuracy: 0.6245, prior_entropy: 0.9995, recall: 0.6245, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6128, root_relative_squared_error: 1.226, scimark_benchmark: 1321.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8268, kappa: 0.654, kb_relative_information_score: 2115.1566, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8284, predictive_accuracy: 0.8268, prior_entropy: 0.9995, recall: 0.8268, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7067, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 2638.8325, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8279, kappa: 0.6561, kb_relative_information_score: 2490.6861, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8296, predictive_accuracy: 0.8279, prior_entropy: 0.9995, recall: 0.8279, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.83, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.4325, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 2000.3589, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7244, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.4765, build_memory: 996353821.52, f_measure: 0.8355, kappa: 0.6714, kb_relative_information_score: 2525.5194, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8375, predictive_accuracy: 0.8355, prior_entropy: 0.9995, recall: 0.8355, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7729, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.258, build_memory: 1141268890, f_measure: 0.8324, kappa: 0.665, kb_relative_information_score: 2510.9253, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4997, number_of_instances: 3800, precision: 0.8336, predictive_accuracy: 0.8324, prior_entropy: 0.9995, recall: 0.8324, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7604, scimark_benchmark: 945.8914,

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