OpenML
Supervised Classification on 2dplanes

Supervised Classification on 2dplanes

Task 3593 Supervised Classification 2dplanes 374 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

374 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9281, kappa: 0.8562, kb_relative_information_score: 34905.9736, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9283, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5363, usercpu_time_millis: 56.044, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 55.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 27501.9403, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8067, usercpu_time_millis: 7.774, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 7.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8665, kappa: 0.7332, kb_relative_information_score: 29891.9511, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8676, predictive_accuracy: 0.8666, prior_entropy: 1, recall: 0.8666, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7305, usercpu_time_millis: 586.312, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 586.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8069, kappa: 0.6139, kb_relative_information_score: 25025.9292, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8069, predictive_accuracy: 0.8069, prior_entropy: 1, recall: 0.8069, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8788, usercpu_time_millis: 24.336, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 24.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24665.9275, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8888, usercpu_time_millis: 2.773, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9182, kappa: 0.8364, kb_relative_information_score: 34097.97, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 1, recall: 0.9182, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.286, root_relative_squared_error: 0.572, usercpu_time_millis: 882.371, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 882.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 35207.975, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5223, usercpu_time_millis: 7.214, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 7.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 35083.9744, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9303, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5281, usercpu_time_millis: 40.372, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 40.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9298, kappa: 0.8596, kb_relative_information_score: 35045.9742, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 1, recall: 0.9298, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5298, usercpu_time_millis: 522.925, usercpu_time_millis_testing: 34.968, usercpu_time_millis_training: 487.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.807, kappa: 0.6141, kb_relative_information_score: 25033.9292, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.807, predictive_accuracy: 0.807, prior_entropy: 1, recall: 0.807, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8786, usercpu_time_millis: 18.651, usercpu_time_millis_testing: 17.158, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 27501.9403, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8067, usercpu_time_millis: 6.416, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 6.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8379, kappa: 0.6757, kb_relative_information_score: 27547.9405, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8379, predictive_accuracy: 0.8379, prior_entropy: 1, recall: 0.8379, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8053, usercpu_time_millis: 244.385, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 244.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 35085.9744, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.264, root_relative_squared_error: 0.528, usercpu_time_millis: 362.602, usercpu_time_millis_testing: 22.952, usercpu_time_millis_training: 339.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9153, kappa: 0.8306, kb_relative_information_score: 33861.9689, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9155, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, usercpu_time_millis: 1620.982, usercpu_time_millis_testing: 143.338, usercpu_time_millis_training: 1477.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 27501.9403, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8067, usercpu_time_millis: 8.322, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 8.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8373, kappa: 0.6747, kb_relative_information_score: 27505.9403, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8066, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8377, kappa: 0.6753, kb_relative_information_score: 27531.9404, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8377, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8058, usercpu_time_millis: 0.965, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8337, kappa: 0.6674, kb_relative_information_score: 27207.939, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8337, predictive_accuracy: 0.8337, prior_entropy: 1, recall: 0.8337, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8156, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 3.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9082, kappa: 0.8164, kb_relative_information_score: 33281.9663, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9082, predictive_accuracy: 0.9082, prior_entropy: 1, recall: 0.9082, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.303, root_relative_squared_error: 0.606, usercpu_time_millis: 31.261, usercpu_time_millis_testing: 31.135, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35115.9746, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9307, prior_entropy: 1, recall: 0.9307, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5266, usercpu_time_millis: 78.063, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 77.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9304, kappa: 0.8608, kb_relative_information_score: 35091.9745, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5277, usercpu_time_millis: 42.308, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 41.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 27535.9405, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8377, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8057, usercpu_time_millis: 9.176, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 8.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8325, kappa: 0.6649, kb_relative_information_score: 27107.9385, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8325, predictive_accuracy: 0.8325, prior_entropy: 1, recall: 0.8325, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8186, usercpu_time_millis: 21.296, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 21.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24665.9275, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8888, usercpu_time_millis: 15.137, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 15.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24665.9275, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8888, usercpu_time_millis: 10.858, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 10.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527, usercpu_time_millis: 7.433, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 7.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.93, kappa: 0.8599, kb_relative_information_score: 35057.9743, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5293, usercpu_time_millis: 638.843, usercpu_time_millis_testing: 7.906, usercpu_time_millis_training: 630.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9298, kappa: 0.8597, kb_relative_information_score: 35047.9743, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9299, predictive_accuracy: 0.9298, prior_entropy: 1, recall: 0.9298, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5297, usercpu_time_millis: 189.962, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 187.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 27501.9403, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8067, usercpu_time_millis: 7.006, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 6.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8612, kb_relative_information_score: 35107.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9307, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5269, usercpu_time_millis: 352.352, usercpu_time_millis_testing: 2.396, usercpu_time_millis_training: 349.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8984, kappa: 0.7967, kb_relative_information_score: 32479.9627, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8984, predictive_accuracy: 0.8984, prior_entropy: 1, recall: 0.8984, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6376, usercpu_time_millis: 123.188, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 121.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.93, kappa: 0.8599, kb_relative_information_score: 35057.9743, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5293, usercpu_time_millis: 195.368, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 194.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9165, kappa: 0.833, kb_relative_information_score: 27682.5212, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9167, predictive_accuracy: 0.9165, prior_entropy: 1, recall: 0.9165, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5147, scimark_benchmark: 972.587, usercpu_time_millis: 6610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30465.1804, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4702, scimark_benchmark: 851.2074, usercpu_time_millis: 21600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 21560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 931.771, usercpu_time_millis: 153030, usercpu_time_millis_testing: 45760, usercpu_time_millis_training: 107270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8409, kappa: 0.6818, kb_relative_information_score: 19988.0213, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8409, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 941.6675, usercpu_time_millis: 670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.191, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 927.2917, usercpu_time_millis: 4000, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 932.438, usercpu_time_millis: 133760, usercpu_time_millis_testing: 40320, usercpu_time_millis_training: 93440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8409, kappa: 0.6818, kb_relative_information_score: 19988.0213, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8409, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 932.438, usercpu_time_millis: 450, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 800, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 900, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 936.3373, usercpu_time_millis: 4760, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 974.2014, usercpu_time_millis: 17430, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 14650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 819.5729, usercpu_time_millis: 880, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9165, kappa: 0.833, kb_relative_information_score: 27682.5212, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9167, predictive_accuracy: 0.9165, prior_entropy: 1, recall: 0.9165, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5147, scimark_benchmark: 901.6243, usercpu_time_millis: 2670, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30465.1804, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4702, scimark_benchmark: 944.0133, usercpu_time_millis: 8800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 932.438, usercpu_time_millis: 142140, usercpu_time_millis_testing: 40500, usercpu_time_millis_training: 101640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 919.3788, usercpu_time_millis: 278000, usercpu_time_millis_testing: 127380, usercpu_time_millis_training: 150620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 903.2737, usercpu_time_millis: 570, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 941.4991, usercpu_time_millis: 380, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 933.3455, usercpu_time_millis: 4090, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 932.438, usercpu_time_millis: 440, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 936.3213, usercpu_time_millis: 23950, usercpu_time_millis_testing: 2720, usercpu_time_millis_training: 21230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9312, kappa: 0.8624, kb_relative_information_score: 33353.774, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9312, predictive_accuracy: 0.9312, prior_entropy: 1, recall: 0.9312, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4364, scimark_benchmark: 851.2074, usercpu_time_millis: 937260, usercpu_time_millis_testing: 151760, usercpu_time_millis_training: 785500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9314, kappa: 0.8629, kb_relative_information_score: 33352.751, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9315, predictive_accuracy: 0.9314, prior_entropy: 1, recall: 0.9314, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4362, scimark_benchmark: 935.5664, usercpu_time_millis: 358530, usercpu_time_millis_testing: 24610, usercpu_time_millis_training: 333920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9307, kappa: 0.8614, kb_relative_information_score: 33358.6764, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9307, predictive_accuracy: 0.9307, prior_entropy: 1, recall: 0.9307, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4365, scimark_benchmark: 938.8535, usercpu_time_millis: 139930, usercpu_time_millis_testing: 10880, usercpu_time_millis_training: 129050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9312, kappa: 0.8624, kb_relative_information_score: 33353.7057, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9312, predictive_accuracy: 0.9312, prior_entropy: 1, recall: 0.9312, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4368, scimark_benchmark: 939.5607, usercpu_time_millis: 70380, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 65320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9311, kappa: 0.8623, kb_relative_information_score: 33378.0769, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9312, predictive_accuracy: 0.9311, prior_entropy: 1, recall: 0.9311, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4377, scimark_benchmark: 936.1714, usercpu_time_millis: 48470, usercpu_time_millis_testing: 2420, usercpu_time_millis_training: 46050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8488, kappa: 0.6975, kb_relative_information_score: 23885.3248, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8488, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6612, scimark_benchmark: 929.0296, usercpu_time_millis: 2930, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8488, kappa: 0.6975, kb_relative_information_score: 23885.3248, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8488, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6612, scimark_benchmark: 926.5859, usercpu_time_millis: 3550, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8488, kappa: 0.6975, kb_relative_information_score: 23885.3248, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8488, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6612, scimark_benchmark: 894.7131, usercpu_time_millis: 2510, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 23883.3946, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8488, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6613, scimark_benchmark: 926.5859, usercpu_time_millis: 2600, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8482, kappa: 0.6964, kb_relative_information_score: 22584.3819, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8482, predictive_accuracy: 0.8482, prior_entropy: 1, recall: 0.8482, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713, scimark_benchmark: 929.0296, usercpu_time_millis: 1720, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8478, kappa: 0.6956, kb_relative_information_score: 23622.342, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8478, predictive_accuracy: 0.8478, prior_entropy: 1, recall: 0.8478, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6694, scimark_benchmark: 936.1714, usercpu_time_millis: 830, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8503, kappa: 0.7007, kb_relative_information_score: 28024.9632, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8504, predictive_accuracy: 0.8503, prior_entropy: 1, recall: 0.8503, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7177, scimark_benchmark: 936.1714, usercpu_time_millis: 23160, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 22870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8525, kappa: 0.7049, kb_relative_information_score: 28165.7384, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 1, recall: 0.8525, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7082, scimark_benchmark: 935.6052, usercpu_time_millis: 12520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 12380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8432, kappa: 0.6864, kb_relative_information_score: 27601.8356, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8434, predictive_accuracy: 0.8432, prior_entropy: 1, recall: 0.8432, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7354, scimark_benchmark: 940.0055, usercpu_time_millis: 6300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8466, kappa: 0.6932, kb_relative_information_score: 27266.857, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8466, predictive_accuracy: 0.8466, prior_entropy: 1, recall: 0.8466, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7511, scimark_benchmark: 935.6052, usercpu_time_millis: 2500, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24626.0088, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.7983, scimark_benchmark: 935.6052, usercpu_time_millis: 1620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9304, kappa: 0.8608, kb_relative_information_score: 33557.6591, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4496, scimark_benchmark: 942.6192, usercpu_time_millis: 4290, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 32438.2255, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9303, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.222, root_relative_squared_error: 0.444, scimark_benchmark: 923.7471, usercpu_time_millis: 365130, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 365000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 16838.6632, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7962, scimark_benchmark: 933.0918, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 923.509, usercpu_time_millis: 960, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9165, kappa: 0.833, kb_relative_information_score: 27682.5212, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9167, predictive_accuracy: 0.9165, prior_entropy: 1, recall: 0.9165, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5147, scimark_benchmark: 926.4745, usercpu_time_millis: 3630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30465.1804, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4702, scimark_benchmark: 906.0884, usercpu_time_millis: 7900, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 7860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.838, usercpu_time_millis: 490, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.838, usercpu_time_millis: 440, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.838, usercpu_time_millis: 440, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.838, usercpu_time_millis: 610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 935.627, usercpu_time_millis: 4650, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 879.4299, usercpu_time_millis: 390, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 946.6409, usercpu_time_millis: 4540, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 949.7766, usercpu_time_millis: 17700, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 15630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 946.9304, usercpu_time_millis: 510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 1316.7101, usercpu_time_millis: 228760, usercpu_time_millis_testing: 105180, usercpu_time_millis_training: 123580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8409, kappa: 0.6818, kb_relative_information_score: 19988.0213, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8409, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 1327.5842, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 1342.8632, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8409, kappa: 0.6818, kb_relative_information_score: 19988.0213, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8409, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 1342.8632, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 1342.8632, usercpu_time_millis: 490, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 1353.0836, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 1324.7884, usercpu_time_millis: 2600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2510,

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