OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 study_107 study_98 study_99
Issue #Downvotes for this reason By


Metric:

19725 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9162, kappa: 0.83, kb_relative_information_score: 7803.9587, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.9906, recall: 0.9162, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.509, scimark_benchmark: 1719.8055, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9219, kappa: 0.8417, kb_relative_information_score: 8295.5022, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9906, recall: 0.922, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4726, scimark_benchmark: 1737.9263, usercpu_time_millis: 23.969, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 22.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8011.4094, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5408, scimark_benchmark: 1772.253, usercpu_time_millis: 23.038, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 22.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7076, kappa: 0.4341, kb_relative_information_score: 1256.837, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8204, predictive_accuracy: 0.7376, prior_entropy: 0.9906, recall: 0.7376, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9191, scimark_benchmark: 1724.4319, usercpu_time_millis: 3.967, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9532, kappa: 0.9052, kb_relative_information_score: 9335.7651, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9532, predictive_accuracy: 0.9532, prior_entropy: 0.9906, recall: 0.9532, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3831, scimark_benchmark: 1829.1442, usercpu_time_millis: 98.707, usercpu_time_millis_testing: 4.389, usercpu_time_millis_training: 94.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9293, kappa: 0.8567, kb_relative_information_score: 8765.6119, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.9906, recall: 0.9294, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4586, scimark_benchmark: 1832.5979, usercpu_time_millis: 70.996, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 67.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9557, kappa: 0.9101, kb_relative_information_score: 9400.8348, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9906, recall: 0.9557, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3664, scimark_benchmark: 1821.8602, usercpu_time_millis: 60.945, usercpu_time_millis_testing: 4.014, usercpu_time_millis_training: 56.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9537, kappa: 0.9062, kb_relative_information_score: 9105.4817, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9906, recall: 0.9538, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3858, scimark_benchmark: 1846.4335, usercpu_time_millis: 54.745, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 51.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9583, kappa: 0.9154, kb_relative_information_score: 9501.1928, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9906, recall: 0.9583, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3519, scimark_benchmark: 1846.3057, usercpu_time_millis: 38.482, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 35.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9575, kappa: 0.9138, kb_relative_information_score: 9541.7257, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9575, predictive_accuracy: 0.9575, prior_entropy: 0.9906, recall: 0.9575, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.358, scimark_benchmark: 1826.2487, usercpu_time_millis: 33.867, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 32.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.938, kappa: 0.8741, kb_relative_information_score: 7870.3514, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9385, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4663, scimark_benchmark: 1857.5664, usercpu_time_millis: 19.334, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 17.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9394, kappa: 0.877, kb_relative_information_score: 6573.1268, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9407, predictive_accuracy: 0.9397, prior_entropy: 0.9906, recall: 0.9397, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5432, scimark_benchmark: 1853.454, usercpu_time_millis: 17.864, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 16.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9605, kappa: 0.92, kb_relative_information_score: 9584.0278, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.9906, recall: 0.9606, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3443, scimark_benchmark: 1849.8294, usercpu_time_millis: 16.319, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 15.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.466, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1825.7178, usercpu_time_millis: 15.939, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 13.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.3501, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 12.917, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 11.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.955, kappa: 0.9088, kb_relative_information_score: 9359.6489, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9906, recall: 0.955, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3734, scimark_benchmark: 1798.186, usercpu_time_millis: 11.299, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 10.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.0621, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 13.637, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 11.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9193, kappa: 0.836, kb_relative_information_score: 4184.2851, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.924, predictive_accuracy: 0.92, prior_entropy: 0.9906, recall: 0.92, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7132, scimark_benchmark: 1857.5664, usercpu_time_millis: 7.155, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 6.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8922, kappa: 0.7812, kb_relative_information_score: 2966.9024, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.906, predictive_accuracy: 0.8943, prior_entropy: 0.9906, recall: 0.8943, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.801, scimark_benchmark: 1828.6161, usercpu_time_millis: 9.746, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 8.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.3629, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1829.6751, usercpu_time_millis: 8.946, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 7.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6263.0803, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.5997, scimark_benchmark: 1845.7835, usercpu_time_millis: 11.924, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 10.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9067, kappa: 0.8106, kb_relative_information_score: 6686.3241, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9074, predictive_accuracy: 0.907, prior_entropy: 0.9906, recall: 0.907, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5621, scimark_benchmark: 1859.6666, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3985, kb_relative_information_score: 0.0172, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 2.448, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 10218.5897, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 0.9906, recall: 0.9714, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2899, scimark_benchmark: 1735.1968, usercpu_time_millis: 113.49, usercpu_time_millis_testing: 4.059, usercpu_time_millis_training: 109.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9451, kappa: 0.8887, kb_relative_information_score: 8941.684, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9906, recall: 0.9452, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4156, scimark_benchmark: 1821.4637, usercpu_time_millis: 59.317, usercpu_time_millis_testing: 4.187, usercpu_time_millis_training: 55.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9443, kappa: 0.8871, kb_relative_information_score: 9018.2196, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9906, recall: 0.9444, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4134, scimark_benchmark: 1811.1444, usercpu_time_millis: 58.573, usercpu_time_millis_testing: 3.528, usercpu_time_millis_training: 55.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9397, kappa: 0.8778, kb_relative_information_score: 8776.6376, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9398, prior_entropy: 0.9906, recall: 0.9398, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4354, scimark_benchmark: 1818.757, usercpu_time_millis: 53.251, usercpu_time_millis_testing: 3.128, usercpu_time_millis_training: 50.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9724, kappa: 0.944, kb_relative_information_score: 10168.2463, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9725, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2847, scimark_benchmark: 1728.8693, usercpu_time_millis: 43.998, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 42.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 8660.9376, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9595, predictive_accuracy: 0.9593, prior_entropy: 0.9906, recall: 0.9593, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3933, scimark_benchmark: 1762.5197, usercpu_time_millis: 42.266, usercpu_time_millis_testing: 3.705, usercpu_time_millis_training: 38.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9549, kappa: 0.9087, kb_relative_information_score: 9411.9243, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.9906, recall: 0.955, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3721, scimark_benchmark: 1714.2829, usercpu_time_millis: 40.676, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 38.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9344, kappa: 0.867, kb_relative_information_score: 8796.3956, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 0.9906, recall: 0.9344, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4518, scimark_benchmark: 1775.395, usercpu_time_millis: 43.52, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 40.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9375, kappa: 0.8733, kb_relative_information_score: 8913.9644, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9906, recall: 0.9375, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4339, scimark_benchmark: 1843.903, usercpu_time_millis: 43.334, usercpu_time_millis_testing: 2.438, usercpu_time_millis_training: 40.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9626, kappa: 0.924, kb_relative_information_score: 8731.2959, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9629, predictive_accuracy: 0.9626, prior_entropy: 0.9906, recall: 0.9626, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3812, scimark_benchmark: 1835.7157, usercpu_time_millis: 38.102, usercpu_time_millis_testing: 2.996, usercpu_time_millis_training: 35.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9721, kappa: 0.9434, kb_relative_information_score: 9967.3757, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9722, predictive_accuracy: 0.9721, prior_entropy: 0.9906, recall: 0.9721, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2968, scimark_benchmark: 1855.0232, usercpu_time_millis: 31.525, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 30.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7901.3176, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5397, scimark_benchmark: 1733.299, usercpu_time_millis: 33.755, usercpu_time_millis_testing: 2.874, usercpu_time_millis_training: 30.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6916.3277, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.607, scimark_benchmark: 1737.8652, usercpu_time_millis: 24.152, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 21.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.911, kappa: 0.8192, kb_relative_information_score: 6753.0614, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9114, predictive_accuracy: 0.9112, prior_entropy: 0.9906, recall: 0.9112, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5556, scimark_benchmark: 1733.4704, usercpu_time_millis: 14.357, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 13.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9691, kappa: 0.9374, kb_relative_information_score: 10268.6817, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.2961, scimark_benchmark: 1721.2718, usercpu_time_millis: 11.729, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 11.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9168, kappa: 0.8311, kb_relative_information_score: 6024.822, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9169, predictive_accuracy: 0.9169, prior_entropy: 0.9906, recall: 0.9169, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5897, scimark_benchmark: 1736.0929, usercpu_time_millis: 9.574, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 8.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8576, kappa: 0.7121, kb_relative_information_score: 2548.7591, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8841, predictive_accuracy: 0.8621, prior_entropy: 0.9906, recall: 0.8621, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8314, scimark_benchmark: 1731.6389, usercpu_time_millis: 4.657, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 3.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: -0.3298, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1733.9326, usercpu_time_millis: 5.688, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9216, kappa: 0.8406, kb_relative_information_score: 4527.9411, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9247, predictive_accuracy: 0.9221, prior_entropy: 0.9906, recall: 0.9221, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6897, scimark_benchmark: 1770.4479, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 3.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9559, kappa: 0.9107, kb_relative_information_score: 9430.8795, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3737, scimark_benchmark: 1852.0126, usercpu_time_millis: 96.32, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 92.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9439, kappa: 0.8863, kb_relative_information_score: 9149.3381, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9906, recall: 0.9439, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4089, scimark_benchmark: 1854.9533, usercpu_time_millis: 72.201, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 68.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9537, kappa: 0.906, kb_relative_information_score: 9184.3027, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.382, scimark_benchmark: 1734.5659, usercpu_time_millis: 56.841, usercpu_time_millis_testing: 3.683, usercpu_time_millis_training: 53.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9516, kappa: 0.9018, kb_relative_information_score: 9250.1363, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.9906, recall: 0.9516, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3902, scimark_benchmark: 1989.8359, usercpu_time_millis: 56.931, usercpu_time_millis_testing: 4.057, usercpu_time_millis_training: 52.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9535, kappa: 0.9057, kb_relative_information_score: 8850.6119, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9537, predictive_accuracy: 0.9536, prior_entropy: 0.9906, recall: 0.9536, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3962, scimark_benchmark: 1849.9303, usercpu_time_millis: 46.163, usercpu_time_millis_testing: 4.07, usercpu_time_millis_training: 42.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9604, kappa: 0.9196, kb_relative_information_score: 8576.321, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 0.9906, recall: 0.9605, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.3952, scimark_benchmark: 1831.1543, usercpu_time_millis: 43.932, usercpu_time_millis_testing: 4.595, usercpu_time_millis_training: 39.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9281, kappa: 0.8541, kb_relative_information_score: 8323.0689, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9282, predictive_accuracy: 0.9282, prior_entropy: 0.9906, recall: 0.9282, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4608, scimark_benchmark: 1836.3978, usercpu_time_millis: 30.207, usercpu_time_millis_testing: 3.315, usercpu_time_millis_training: 26.892,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.909, kappa: 0.8149, kb_relative_information_score: 3716.3032, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9155, predictive_accuracy: 0.91, prior_entropy: 0.9906, recall: 0.91, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7477, scimark_benchmark: 1836.9669, usercpu_time_millis: 25.734, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 22.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9056, kappa: 0.8081, kb_relative_information_score: 3634.5289, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9128, predictive_accuracy: 0.9067, prior_entropy: 0.9906, recall: 0.9067, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7538, scimark_benchmark: 1672.0307, usercpu_time_millis: 21.219, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 18.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.971, kappa: 0.9412, kb_relative_information_score: 9854.9945, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3014, scimark_benchmark: 1834.8148, usercpu_time_millis: 14.802, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 13.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9192, kappa: 0.8357, kb_relative_information_score: 4107.9493, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9241, predictive_accuracy: 0.9199, prior_entropy: 0.9906, recall: 0.9199, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7187, scimark_benchmark: 1999.5986, usercpu_time_millis: 16.506, usercpu_time_millis_testing: 2.231, usercpu_time_millis_training: 14.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9669, kappa: 0.9328, kb_relative_information_score: 9647.6426, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 0.9906, recall: 0.9669, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3234, scimark_benchmark: 1848.388, usercpu_time_millis: 10.215, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 9.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9256, kappa: 0.849, kb_relative_information_score: 7033.6858, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, predictive_accuracy: 0.9259, prior_entropy: 0.9906, recall: 0.9259, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5278, scimark_benchmark: 1853.5818, usercpu_time_millis: 11.136, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 10.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.92, kappa: 0.8374, kb_relative_information_score: 4169.7896, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9248, predictive_accuracy: 0.9208, prior_entropy: 0.9906, recall: 0.9208, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7143, scimark_benchmark: 1849.9572, usercpu_time_millis: 9.304, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 8.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9383, kappa: 0.8746, kb_relative_information_score: 6470.9031, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 0.9906, recall: 0.9385, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.551, scimark_benchmark: 1778.7115, usercpu_time_millis: 6.648, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 6.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.9053, kb_relative_information_score: 8871.7769, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3947, scimark_benchmark: 1832.3866, usercpu_time_millis: 2.079, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.7234, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1837.0863, usercpu_time_millis: 3.851, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 3.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9707, kappa: 0.9405, kb_relative_information_score: 10084.6251, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 0.9906, recall: 0.9707, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.148, root_relative_squared_error: 0.2979, scimark_benchmark: 1852.9988, usercpu_time_millis: 6.918, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 6.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: -0.2783, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 3.818, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9699, kappa: 0.939, kb_relative_information_score: 10134.662, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9906, recall: 0.97, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.2948, scimark_benchmark: 1853.9121, usercpu_time_millis: 125.472, usercpu_time_millis_testing: 4.316, usercpu_time_millis_training: 121.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9506, kappa: 0.8999, kb_relative_information_score: 9384.8355, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9506, predictive_accuracy: 0.9506, prior_entropy: 0.9906, recall: 0.9506, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3853, scimark_benchmark: 1850.4554, usercpu_time_millis: 119.24, usercpu_time_millis_testing: 3.998, usercpu_time_millis_training: 115.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9553, kappa: 0.9094, kb_relative_information_score: 9435.6259, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3721, scimark_benchmark: 1848.3343, usercpu_time_millis: 98.602, usercpu_time_millis_testing: 4.45, usercpu_time_millis_training: 94.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 9918.6328, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3083, scimark_benchmark: 1848.2722, usercpu_time_millis: 90.116, usercpu_time_millis_testing: 3.481, usercpu_time_millis_training: 86.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9396, kappa: 0.8777, kb_relative_information_score: 9105.1487, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9397, prior_entropy: 0.9906, recall: 0.9397, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4186, scimark_benchmark: 1852.9259, usercpu_time_millis: 67.814, usercpu_time_millis_testing: 2.914, usercpu_time_millis_training: 64.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9635, kappa: 0.926, kb_relative_information_score: 9687.5069, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9636, predictive_accuracy: 0.9635, prior_entropy: 0.9906, recall: 0.9635, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3318, scimark_benchmark: 1855.0232, usercpu_time_millis: 42.701, usercpu_time_millis_testing: 2.413, usercpu_time_millis_training: 40.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9235, kappa: 0.8449, kb_relative_information_score: 8234.4002, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9237, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4737, scimark_benchmark: 1845.3986, usercpu_time_millis: 34.774, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 32.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.941, kappa: 0.8803, kb_relative_information_score: 8487.7505, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9413, predictive_accuracy: 0.9411, prior_entropy: 0.9906, recall: 0.9411, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4343, scimark_benchmark: 1857.5664, usercpu_time_millis: 29.223, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 26.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9068, kappa: 0.8114, kb_relative_information_score: 7787.8173, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.907, predictive_accuracy: 0.9067, prior_entropy: 0.9906, recall: 0.9067, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5204, scimark_benchmark: 1851.4874, usercpu_time_millis: 32.14, usercpu_time_millis_testing: 2.971, usercpu_time_millis_training: 29.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.892, kappa: 0.781, kb_relative_information_score: 6691.9554, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8921, predictive_accuracy: 0.8922, prior_entropy: 0.9906, recall: 0.8922, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5864, scimark_benchmark: 1857.0384, usercpu_time_millis: 25.993, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 23.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.923, kappa: 0.8434, kb_relative_information_score: 4627.3368, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9235, prior_entropy: 0.9906, recall: 0.9235, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6822, scimark_benchmark: 1843.1261, usercpu_time_millis: 24.386, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 21.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9308, kappa: 0.8596, kb_relative_information_score: 8707.2773, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 0.9906, recall: 0.931, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.456, scimark_benchmark: 1859.1356, usercpu_time_millis: 23.511, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 22.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9242, kappa: 0.8462, kb_relative_information_score: 8482.0021, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 0.9906, recall: 0.9243, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4623, scimark_benchmark: 1845.8518, usercpu_time_millis: 21.736, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 20.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7044.4098, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5504, scimark_benchmark: 1771.7177, usercpu_time_millis: 19.318, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 17.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9552, kappa: 0.9091, kb_relative_information_score: 9084.3668, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9553, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3866, scimark_benchmark: 1749.3233, usercpu_time_millis: 17.799, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 16.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8277.7004, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9906, recall: 0.9155, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.4865, scimark_benchmark: 1843.3238, usercpu_time_millis: 18.62, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 17.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 9801.445, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3107, scimark_benchmark: 1855.0232, usercpu_time_millis: 16.248, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 15.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 9870.1162, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3127, scimark_benchmark: 1852.9259, usercpu_time_millis: 15.716, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 15.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8942, kappa: 0.7853, kb_relative_information_score: 5488.8139, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8945, predictive_accuracy: 0.8944, prior_entropy: 0.9906, recall: 0.8944, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.643, scimark_benchmark: 1852.0126, usercpu_time_millis: 13.12, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 11.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.1951, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 11.95, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 10.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.892, kappa: 0.781, kb_relative_information_score: 6571.5643, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8921, predictive_accuracy: 0.8922, prior_entropy: 0.9906, recall: 0.8922, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5885, scimark_benchmark: 1849.3014, usercpu_time_millis: 16.329, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 14.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8069.9682, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.521, scimark_benchmark: 1853.454, usercpu_time_millis: 10.039, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 9.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9214, kappa: 0.8403, kb_relative_information_score: 4214.9123, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.926, predictive_accuracy: 0.9221, prior_entropy: 0.9906, recall: 0.9221, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7109, scimark_benchmark: 1853.9121, usercpu_time_millis: 9.732, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 8.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.204, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1853.0716, usercpu_time_millis: 7.764, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 6.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.892, kappa: 0.781, kb_relative_information_score: 6373.246, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8921, predictive_accuracy: 0.8922, prior_entropy: 0.9906, recall: 0.8922, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5981, scimark_benchmark: 1853.3841, usercpu_time_millis: 13.178, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 11.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.0823, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 10.584, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 9.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3985, kb_relative_information_score: -0.2766, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.799, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9392, kappa: 0.8767, kb_relative_information_score: 9142.0507, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4155, scimark_benchmark: 1854.1097, usercpu_time_millis: 99.702, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 96.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9591, kappa: 0.9171, kb_relative_information_score: 9482.0918, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9906, recall: 0.9591, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.351, scimark_benchmark: 1845.4698, usercpu_time_millis: 97.377, usercpu_time_millis_testing: 5.043, usercpu_time_millis_training: 92.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9595, kappa: 0.918, kb_relative_information_score: 9524.1744, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.9906, recall: 0.9596, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3478, scimark_benchmark: 1840.3294, usercpu_time_millis: 80.555, usercpu_time_millis_testing: 5.245, usercpu_time_millis_training: 75.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9473, kappa: 0.893, kb_relative_information_score: 7353.5735, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.948, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4846, scimark_benchmark: 1754.6459, usercpu_time_millis: 61.211, usercpu_time_millis_testing: 5.273, usercpu_time_millis_training: 55.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9544, kappa: 0.9075, kb_relative_information_score: 9356.103, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.9906, recall: 0.9544, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3758, scimark_benchmark: 1844.3388, usercpu_time_millis: 57.457, usercpu_time_millis_testing: 3.516, usercpu_time_millis_training: 53.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9329, kappa: 0.8638, kb_relative_information_score: 8418.8221, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9906, recall: 0.933, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4507, scimark_benchmark: 1847.7442, usercpu_time_millis: 59.619, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 55.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9712, kappa: 0.9416, kb_relative_information_score: 10022.6826, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2955, scimark_benchmark: 1845.4263, usercpu_time_millis: 49.155, usercpu_time_millis_testing: 2.644, usercpu_time_millis_training: 46.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9536, kappa: 0.9058, kb_relative_information_score: 9122.6849, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.9906, recall: 0.9536, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863, scimark_benchmark: 1847.934, usercpu_time_millis: 46.737, usercpu_time_millis_testing: 3.728, usercpu_time_millis_training: 43.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9367, kappa: 0.8714, kb_relative_information_score: 4722.2148, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9371, prior_entropy: 0.9906, recall: 0.9371, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6714, scimark_benchmark: 1795.0503, usercpu_time_millis: 46.491, usercpu_time_millis_testing: 5.031, usercpu_time_millis_training: 41.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 9965.8917, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.2982, scimark_benchmark: 1848.8462, usercpu_time_millis: 40.454, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 38.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9556, kappa: 0.9099, kb_relative_information_score: 9302.9631, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754, scimark_benchmark: 1828.6872, usercpu_time_millis: 40.745, usercpu_time_millis_testing: 2.926, usercpu_time_millis_training: 37.819,

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