Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_123 study_14 study_218
Issue #Downvotes for this reason By


Metric:

22125 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: 0.8374, f_measure: 0.9382, kappa: 0.3821, kb_relative_information_score: -0.5752, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9442, prior_entropy: 0.319, recall: 0.9442, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.9463, kappa: 0.4486, kb_relative_information_score: 0.1932, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9532, prior_entropy: 0.319, recall: 0.9532, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9256, kappa: 0.1747, kb_relative_information_score: -5316.3265, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8945, scimark_benchmark: 1108.6701, usercpu_time_millis: 344.814, usercpu_time_millis_testing: 34.607, usercpu_time_millis_training: 310.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -13037.9015, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9458, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9259, scimark_benchmark: 1759.8778, usercpu_time_millis: 346.686, usercpu_time_millis_testing: 15.332, usercpu_time_millis_training: 331.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9156, kappa: 0.0532, kb_relative_information_score: -9424.4157, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9036, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9599, scimark_benchmark: 1206.2044, usercpu_time_millis: 383.616, usercpu_time_millis_testing: 13.947, usercpu_time_millis_training: 369.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -11338.7443, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9207, scimark_benchmark: 1080.5688, usercpu_time_millis: 414.08, usercpu_time_millis_testing: 29.527, usercpu_time_millis_training: 384.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9258, kappa: 0.2249, kb_relative_information_score: -3988.3558, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9197, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.948, scimark_benchmark: 1055.6682, usercpu_time_millis: 347.02, usercpu_time_millis_testing: 22.392, usercpu_time_millis_training: 324.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.9305, kappa: 0.2717, kb_relative_information_score: 38.116, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9779, scimark_benchmark: 1089.7793, usercpu_time_millis: 253.705, usercpu_time_millis_testing: 8.679, usercpu_time_millis_training: 245.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.914, kb_relative_information_score: -11999.2789, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9902, scimark_benchmark: 1056.05, usercpu_time_millis: 379.384, usercpu_time_millis_testing: 22.642, usercpu_time_millis_training: 356.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.925, kappa: 0.2133, kb_relative_information_score: -6348.4645, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9187, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9465, scimark_benchmark: 1091.4453, usercpu_time_millis: 266.583, usercpu_time_millis_testing: 15.621, usercpu_time_millis_training: 250.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.933, kappa: 0.2749, kb_relative_information_score: -4181.8446, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9336, predictive_accuracy: 0.9467, prior_entropy: 0.3191, recall: 0.9467, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.9246, kappa: 0.2555, kb_relative_information_score: 1826.6124, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9306, prior_entropy: 0.3191, recall: 0.9306, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.081, scimark_benchmark: 1815.5992, usercpu_time_millis: 5.529, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 5.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.914, kb_relative_information_score: -9250.0177, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9946, scimark_benchmark: 1835.7111, usercpu_time_millis: 6.447, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 6.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -480.0926, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -970.352, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -4593.448, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -11789.9391, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0442, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 330.1306, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -900.6103, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2118.8744, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 399.9594, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2650.552, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -2721.9201, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 172.616, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 844.5094, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 10.383, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, kb_relative_information_score: -2921.961, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -1420.7644, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 321.961, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -2244.142, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.9428, kappa: 0.4263, kb_relative_information_score: -0.1006, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9404, predictive_accuracy: 0.9485, prior_entropy: 0.319, recall: 0.9485, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.9431, kappa: 0.4279, kb_relative_information_score: -0.1138, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9407, predictive_accuracy: 0.9489, prior_entropy: 0.319, recall: 0.9489, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.9315, kappa: 0.2788, kb_relative_information_score: -0.1126, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9279, predictive_accuracy: 0.9427, prior_entropy: 0.319, recall: 0.9427, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9382, kappa: 0.3821, kb_relative_information_score: -0.5752, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9442, prior_entropy: 0.319, recall: 0.9442, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9382, kappa: 0.3377, kb_relative_information_score: -0.1689, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9399, predictive_accuracy: 0.9499, prior_entropy: 0.319, recall: 0.9499, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9382, kappa: 0.3821, kb_relative_information_score: -0.5752, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9442, prior_entropy: 0.319, recall: 0.9442, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, kb_relative_information_score: -3766.2185, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.9378, kappa: 0.3395, kb_relative_information_score: -1919.8303, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9378, predictive_accuracy: 0.9487, prior_entropy: 0.3191, recall: 0.9487, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.914, kb_relative_information_score: -10330.2539, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9934, scimark_benchmark: 1798.4029, usercpu_time_millis: 114.404, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 105.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9236, kappa: 0.1934, kb_relative_information_score: -8501.4815, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9168, predictive_accuracy: 0.9362, prior_entropy: 0.3191, recall: 0.9362, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9476, scimark_benchmark: 1851.3287, usercpu_time_millis: 128.546, usercpu_time_millis_testing: 8.485, usercpu_time_millis_training: 120.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.9296, kappa: 0.2514, kb_relative_information_score: -1.5889, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9273, scimark_benchmark: 1801.8405, usercpu_time_millis: 134.25, usercpu_time_millis_testing: 12.672, usercpu_time_millis_training: 121.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.914, kb_relative_information_score: -12327.2952, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9849, scimark_benchmark: 1832.3122, usercpu_time_millis: 5.137, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 4.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.922, kappa: 0.156, kb_relative_information_score: -9244.4045, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9151, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9436, scimark_benchmark: 1854.4431, usercpu_time_millis: 48.229, usercpu_time_millis_testing: 4.643, usercpu_time_millis_training: 43.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -1.1455, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 787.4943, usercpu_time_millis: 84.585, usercpu_time_millis_testing: 9.639, usercpu_time_millis_training: 74.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.914, kb_relative_information_score: -13010.2275, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.979, scimark_benchmark: 1853.5818, usercpu_time_millis: 107.48, usercpu_time_millis_testing: 8.636, usercpu_time_millis_training: 98.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9146, kappa: 0.0364, kb_relative_information_score: -11460.3788, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.901, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9392, scimark_benchmark: 1846.7639, usercpu_time_millis: 117.551, usercpu_time_millis_testing: 7.735, usercpu_time_millis_training: 109.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9272, kappa: 0.2155, kb_relative_information_score: -5252.9267, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9233, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.9106, scimark_benchmark: 1842.6475, usercpu_time_millis: 143.907, usercpu_time_millis_testing: 12.752, usercpu_time_millis_training: 131.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -15256.6629, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9755, scimark_benchmark: 1803.4687, usercpu_time_millis: 165.768, usercpu_time_millis_testing: 6.525, usercpu_time_millis_training: 159.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.914, kb_relative_information_score: -8815.3455, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9963, scimark_benchmark: 1850.2875, usercpu_time_millis: 8.67, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 8.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.9303, kappa: 0.2627, kb_relative_information_score: 161.9656, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9654, scimark_benchmark: 1798.6442, usercpu_time_millis: 31.308, usercpu_time_millis_testing: 1.405, usercpu_time_millis_training: 29.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.9177, kappa: 0.0512, kb_relative_information_score: -12181.0591, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9288, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9118, scimark_benchmark: 1853.9121, usercpu_time_millis: 106.193, usercpu_time_millis_testing: 3.138, usercpu_time_millis_training: 103.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9256, kappa: 0.1759, kb_relative_information_score: -5257.9814, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8949, scimark_benchmark: 1855.4812, usercpu_time_millis: 25.393, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 24.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -53.8418, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1775.2785, usercpu_time_millis: 27.059, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 25.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.914, kb_relative_information_score: -9952.035, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9925, scimark_benchmark: 1853.5818, usercpu_time_millis: 31.054, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 29.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13925.06, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.975, scimark_benchmark: 1799.8751, usercpu_time_millis: 74.792, usercpu_time_millis_testing: 5.209, usercpu_time_millis_training: 69.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.914, kb_relative_information_score: -9039.5521, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.9227, scimark_benchmark: 1854.4951, usercpu_time_millis: 8.612, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 8.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.9297, kappa: 0.2539, kb_relative_information_score: 185.0139, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9298, scimark_benchmark: 1794.8033, usercpu_time_millis: 61.967, usercpu_time_millis_testing: 4.922, usercpu_time_millis_training: 57.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13591.7746, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9434, scimark_benchmark: 1802.1557, usercpu_time_millis: 117.582, usercpu_time_millis_testing: 8.905, usercpu_time_millis_training: 108.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.9235, kappa: 0.2112, kb_relative_information_score: -5426.6704, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9169, predictive_accuracy: 0.9337, prior_entropy: 0.3191, recall: 0.9337, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2359, root_relative_squared_error: 1.0102, scimark_benchmark: 1849.8294, usercpu_time_millis: 141.589, usercpu_time_millis_testing: 6.049, usercpu_time_millis_training: 135.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14852.1972, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9669, scimark_benchmark: 1853.0716, usercpu_time_millis: 143.335, usercpu_time_millis_testing: 9.974, usercpu_time_millis_training: 133.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14969.8077, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9672, scimark_benchmark: 1735.3758, usercpu_time_millis: 159.111, usercpu_time_millis_testing: 7.199, usercpu_time_millis_training: 151.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.9152, kappa: 0.0156, kb_relative_information_score: -11486.1898, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9395, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9042, scimark_benchmark: 1849.8294, usercpu_time_millis: 201.886, usercpu_time_millis_testing: 11.851, usercpu_time_millis_training: 190.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.914, kb_relative_information_score: -13489.4263, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9768, scimark_benchmark: 788.4957, usercpu_time_millis: 248.359, usercpu_time_millis_testing: 19.446, usercpu_time_millis_training: 228.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.914, kb_relative_information_score: -9242.8276, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9952, scimark_benchmark: 1845.7835, usercpu_time_millis: 96.541, usercpu_time_millis_testing: 6.428, usercpu_time_millis_training: 90.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.9138, kappa: -0.0008, kb_relative_information_score: -11269.8475, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.914, scimark_benchmark: 1853.3841, usercpu_time_millis: 90.694, usercpu_time_millis_testing: 8.079, usercpu_time_millis_training: 82.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -15007.2313, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9604, scimark_benchmark: 1844.7928, usercpu_time_millis: 114.457, usercpu_time_millis_testing: 9.187, usercpu_time_millis_training: 105.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9245, kappa: 0.2078, kb_relative_information_score: -7455.8388, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9181, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9469, scimark_benchmark: 1846.3057, usercpu_time_millis: 121.467, usercpu_time_millis_testing: 6.323, usercpu_time_millis_training: 115.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.9146, kappa: 0.0363, kb_relative_information_score: -10056.4419, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, scimark_benchmark: 1853.9121, usercpu_time_millis: 145.108, usercpu_time_millis_testing: 7.567, usercpu_time_millis_training: 137.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13352.2025, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.933, scimark_benchmark: 1847.8629, usercpu_time_millis: 196.404, usercpu_time_millis_testing: 8.095, usercpu_time_millis_training: 188.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -134.4064, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 8.832, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 8.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -12.2107, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 18.28, usercpu_time_millis_testing: 2.874, usercpu_time_millis_training: 15.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.9274, kappa: 0.2229, kb_relative_information_score: -4317.362, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9229, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9127, scimark_benchmark: 1830.8363, usercpu_time_millis: 22.827, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 21.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9302, kappa: 0.265, kb_relative_information_score: 230.5877, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.973, scimark_benchmark: 1842.7093, usercpu_time_millis: 187.509, usercpu_time_millis_testing: 11.285, usercpu_time_millis_training: 176.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -51.785, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1726.065, usercpu_time_millis: 35.314, usercpu_time_millis_testing: 5.112, usercpu_time_millis_training: 30.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14491.7872, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9383, scimark_benchmark: 2078.3136, usercpu_time_millis: 22.623, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 21.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.9322, kappa: 0.2757, kb_relative_information_score: 518.5475, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9302, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8907, scimark_benchmark: 2085.4904, usercpu_time_millis: 31.059, usercpu_time_millis_testing: 2.296, usercpu_time_millis_training: 28.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.93, kappa: 0.2588, kb_relative_information_score: 501.7735, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9544, scimark_benchmark: 1848.7762, usercpu_time_millis: 39.875, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 37.258,
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: 0.4996, f_measure: 0.914, kb_relative_information_score: -19.2544, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1693.2714, usercpu_time_millis: 38.593, usercpu_time_millis_testing: 4.656, usercpu_time_millis_training: 33.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.9388, kappa: 0.3426, kb_relative_information_score: -7964.2311, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9413, predictive_accuracy: 0.9505, prior_entropy: 0.3191, recall: 0.9505, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.8464, scimark_benchmark: 1853.9121, usercpu_time_millis: 83.016, usercpu_time_millis_testing: 4.363, usercpu_time_millis_training: 78.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.9253, kappa: 0.2214, kb_relative_information_score: -4704.3377, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9581, scimark_benchmark: 1850.2875, usercpu_time_millis: 89.418, usercpu_time_millis_testing: 5.587, usercpu_time_millis_training: 83.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.9252, kappa: 0.225, kb_relative_information_score: -3348.5677, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.9358, prior_entropy: 0.3191, recall: 0.9358, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9928, scimark_benchmark: 1849.8294, usercpu_time_millis: 18.055, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 17.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -5.1563, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1850.8425, usercpu_time_millis: 37.393, usercpu_time_millis_testing: 5.731, usercpu_time_millis_training: 31.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -15161.8514, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.224, root_relative_squared_error: 0.959, scimark_benchmark: 1852.0126, usercpu_time_millis: 60.638, usercpu_time_millis_testing: 5.904, usercpu_time_millis_training: 54.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9218, kappa: 0.1454, kb_relative_information_score: -9376.698, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9153, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.936, scimark_benchmark: 1839.1652, usercpu_time_millis: 93.358, usercpu_time_millis_testing: 4.233, usercpu_time_millis_training: 89.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9181, kappa: 0.0559, kb_relative_information_score: -14336.8128, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9366, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.9001, scimark_benchmark: 1728.9285, usercpu_time_millis: 111.587, usercpu_time_millis_testing: 5.992, usercpu_time_millis_training: 105.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.4638, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1829.9653, usercpu_time_millis: 3.8, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 3.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.9168, kappa: 0.0709, kb_relative_information_score: -10786.0127, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9066, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9399, scimark_benchmark: 1853.3841, usercpu_time_millis: 50.324, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 47.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9163, kappa: 0.0309, kb_relative_information_score: -11987.0619, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9385, predictive_accuracy: 0.9429, prior_entropy: 0.3191, recall: 0.9429, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.903, scimark_benchmark: 1840.1274, usercpu_time_millis: 106.29, usercpu_time_millis_testing: 3.952, usercpu_time_millis_training: 102.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.922, kappa: 0.1096, kb_relative_information_score: -11361.018, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9346, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8804, scimark_benchmark: 1833.6373, usercpu_time_millis: 118.306, usercpu_time_millis_testing: 9.402, usercpu_time_millis_training: 108.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13644.8739, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9426, scimark_benchmark: 1852.9259, usercpu_time_millis: 365.742, usercpu_time_millis_testing: 20.72, usercpu_time_millis_training: 345.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14572.9804, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9314, scimark_benchmark: 1852.0126, usercpu_time_millis: 188.793, usercpu_time_millis_testing: 10.817, usercpu_time_millis_training: 177.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13867.1844, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9491, scimark_benchmark: 1837.0722, usercpu_time_millis: 199.134, usercpu_time_millis_testing: 10.839, usercpu_time_millis_training: 188.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -15602.576, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9897, scimark_benchmark: 1834.1374, usercpu_time_millis: 245.119, usercpu_time_millis_testing: 10.693, usercpu_time_millis_training: 234.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.9307, kappa: 0.2738, kb_relative_information_score: -152.1067, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9778, scimark_benchmark: 1849.7595, usercpu_time_millis: 260.124, usercpu_time_millis_testing: 11.501, usercpu_time_millis_training: 248.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -316.2357, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1854.4951, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, kb_relative_information_score: -10877.5312, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -3844.4874, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -2.7859, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -2407.9075, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,

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