OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
1 likes downloaded by 9 people , 11 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9368 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: 0.8245, f_measure: 0.755, kappa: 0.5056, kb_relative_information_score: 963.5215, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1847.3406, usercpu_time_millis: 63.204, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 62.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7729, kappa: 0.5419, kb_relative_information_score: 1048.3712, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1716.9407, usercpu_time_millis: 40.398, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 794.9805, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1859.1356, usercpu_time_millis: 63.166, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 62.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7246, kappa: 0.4443, kb_relative_information_score: 453.0084, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1783.8383, usercpu_time_millis: 22.628, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 21.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7562, kappa: 0.5084, kb_relative_information_score: 886.7673, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1836.1876, usercpu_time_millis: 44.708, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 43.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 822.8103, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638, scimark_benchmark: 1857.5664, usercpu_time_millis: 56.197, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 54.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7358, kappa: 0.4688, kb_relative_information_score: 698.3439, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8859, scimark_benchmark: 1849.8177, usercpu_time_millis: 53.445, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 52.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 829.6145, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1764.9346, usercpu_time_millis: 69.552, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 68.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7188, kappa: 0.4348, kb_relative_information_score: 373.8601, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7296, predictive_accuracy: 0.7243, prior_entropy: 0.9948, recall: 0.7243, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1812.3516, usercpu_time_millis: 32.453, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 30.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1221.8747, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1821.613, usercpu_time_millis: 54.145, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 51.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1409, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1759.3718, usercpu_time_millis: 7.67, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 6.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6387, kappa: 0.2902, kb_relative_information_score: 234.8435, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6775, predictive_accuracy: 0.6596, prior_entropy: 0.9948, recall: 0.6596, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9576, scimark_benchmark: 1782.6186, usercpu_time_millis: 6.414, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 5.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0713, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 5.619, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7475, kappa: 0.4904, kb_relative_information_score: 633.5388, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8938, scimark_benchmark: 1834.6984, usercpu_time_millis: 66.964, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 65.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0721, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 787.8104, usercpu_time_millis: 11.6, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 9.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7622, kappa: 0.5202, kb_relative_information_score: 1112.7481, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1836.0529, usercpu_time_millis: 26.953, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 26.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5724, kappa: 0.2057, kb_relative_information_score: 168.6255, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6265, prior_entropy: 0.9948, recall: 0.6265, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.8309, usercpu_time_millis: 9.748, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 8.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6819, kappa: 0.3599, kb_relative_information_score: 397.5125, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.689, predictive_accuracy: 0.6873, prior_entropy: 0.9948, recall: 0.6873, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9306, scimark_benchmark: 1831.0407, usercpu_time_millis: 12.097, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 10.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0883, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.5112, usercpu_time_millis: 8.184, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 6.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0349, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.1963, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7354, kappa: 0.4675, kb_relative_information_score: 722.3927, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8832, scimark_benchmark: 1834.0216, usercpu_time_millis: 50.352, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 49.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.5519, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1842.7105, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1504, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.0399, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 7.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6604, kappa: 0.3259, kb_relative_information_score: 262.0464, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6868, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9529, scimark_benchmark: 1850.2875, usercpu_time_millis: 8.455, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 7.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7361, kappa: 0.469, kb_relative_information_score: 900.8435, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8636, scimark_benchmark: 1810.2635, usercpu_time_millis: 28.834, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 28.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 940.7694, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8487, scimark_benchmark: 1823.3401, usercpu_time_millis: 39.173, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 38.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0298, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.3864, usercpu_time_millis: 7.536, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 6.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0923, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1836.1651, usercpu_time_millis: 8.468, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 7.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6657, kappa: 0.3304, kb_relative_information_score: 316.8178, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6795, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1818.6353, usercpu_time_millis: 20.128, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 18.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7936, kappa: 0.5835, kb_relative_information_score: 1302.6986, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1839.1431, usercpu_time_millis: 30.301, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 29.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0439, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 4.457, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0748, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 6.041, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 5.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7557, kappa: 0.5073, kb_relative_information_score: 871.8055, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8526, scimark_benchmark: 1840.8345, usercpu_time_millis: 32.023, usercpu_time_millis_testing: 2.314, usercpu_time_millis_training: 29.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1708, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 8.275, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 6.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.4451, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1818.7477, usercpu_time_millis: 7.709, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7549, kappa: 0.5054, kb_relative_information_score: 1075.5977, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7572, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8349, scimark_benchmark: 1809.5152, usercpu_time_millis: 17.216, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 16.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.783, kappa: 0.5625, kb_relative_information_score: 1243.9575, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1803.6299, usercpu_time_millis: 15.248, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 14.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.2657, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1833.2764, usercpu_time_millis: 4.167, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.105, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.3189, usercpu_time_millis: 6.028, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 5.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0403, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.5822, usercpu_time_millis: 8.564, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 7.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0699, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1789.8823, usercpu_time_millis: 10.756, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 9.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7174, kappa: 0.449, kb_relative_information_score: 1641.3867, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9025, scimark_benchmark: 1848.3904, usercpu_time_millis: 7.947, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 7.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0936, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.8207, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 7.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7603, kappa: 0.5166, kb_relative_information_score: 1386.1307, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8193, scimark_benchmark: 1850.3603, usercpu_time_millis: 21.479, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 20.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0617, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1808.9842, usercpu_time_millis: 7.905, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 6.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.1121, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1803.5736, usercpu_time_millis: 5.128, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 4.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.6156, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.1026, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 3.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0239, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5992, usercpu_time_millis: 8.139, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1076, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.9558, usercpu_time_millis: 5.91, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 4.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.738, kappa: 0.4734, kb_relative_information_score: 720.3534, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8872, scimark_benchmark: 1845.264, usercpu_time_millis: 16.012, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 15.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2507, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1818.9456, usercpu_time_millis: 5.725, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 4.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.017, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1769.4649, usercpu_time_millis: 7.197, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 6.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1739, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1772.0089, usercpu_time_millis: 5.294, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 4.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1886, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.3986, usercpu_time_millis: 6.817, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 5.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0398, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 5.586, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 4.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0924, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.6391, usercpu_time_millis: 7.416, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 6.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0581, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1859.1356, usercpu_time_millis: 8.093, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 6.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.4201, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 5.105, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0143, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1847.7401, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 6.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7181, kappa: 0.4311, kb_relative_information_score: 618.125, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7193, prior_entropy: 0.9948, recall: 0.7193, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8955, scimark_benchmark: 1842.3188, usercpu_time_millis: 5.959, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 5.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1294, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.7474, usercpu_time_millis: 7.391, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0371, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.7821, usercpu_time_millis: 10.857, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 9.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0688, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 7.288, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 6.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7426, kappa: 0.4811, kb_relative_information_score: 877.3222, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8636, scimark_benchmark: 1822.4414, usercpu_time_millis: 6.585, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 5.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6797, kappa: 0.3548, kb_relative_information_score: 616.223, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6846, predictive_accuracy: 0.6841, prior_entropy: 0.9948, recall: 0.6841, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1816.0332, usercpu_time_millis: 4556.71, usercpu_time_millis_testing: 19.769, usercpu_time_millis_training: 4536.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6784, kappa: 0.352, kb_relative_information_score: 606.9889, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6832, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1832.5979, usercpu_time_millis: 4566.37, usercpu_time_millis_testing: 21.321, usercpu_time_millis_training: 4545.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6783, kappa: 0.3518, kb_relative_information_score: 611.0058, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1857.5664, usercpu_time_millis: 4475.972, usercpu_time_millis_testing: 20.227, usercpu_time_millis_training: 4455.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6757, kappa: 0.3466, kb_relative_information_score: 608.1359, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6805, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1725.6937, usercpu_time_millis: 4638.592, usercpu_time_millis_testing: 20.69, usercpu_time_millis_training: 4617.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6795, kappa: 0.354, kb_relative_information_score: 613.0498, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1854.9533, usercpu_time_millis: 4540.037, usercpu_time_millis_testing: 21.143, usercpu_time_millis_training: 4518.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6803, kappa: 0.3557, kb_relative_information_score: 607.2147, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6847, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9487, scimark_benchmark: 1843.1261, usercpu_time_millis: 4483.472, usercpu_time_millis_testing: 21.748, usercpu_time_millis_training: 4461.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6759, kappa: 0.347, kb_relative_information_score: 604.1969, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6808, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1853.5297, usercpu_time_millis: 4543.598, usercpu_time_millis_testing: 21.321, usercpu_time_millis_training: 4522.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6736, kappa: 0.3425, kb_relative_information_score: 608.5684, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6787, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1723.1004, usercpu_time_millis: 4403.415, usercpu_time_millis_testing: 17.411, usercpu_time_millis_training: 4386.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6745, kappa: 0.344, kb_relative_information_score: 612.5553, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6789, predictive_accuracy: 0.6788, prior_entropy: 0.9948, recall: 0.6788, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1827.587, usercpu_time_millis: 4463.367, usercpu_time_millis_testing: 21.221, usercpu_time_millis_training: 4442.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6815, kappa: 0.3582, kb_relative_information_score: 608.8286, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6862, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9485, scimark_benchmark: 1732.9618, usercpu_time_millis: 4467.852, usercpu_time_millis_testing: 20.252, usercpu_time_millis_training: 4447.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6766, kappa: 0.3483, kb_relative_information_score: 607.1123, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1844.5975, usercpu_time_millis: 4327.006, usercpu_time_millis_testing: 19.561, usercpu_time_millis_training: 4307.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6779, kappa: 0.351, kb_relative_information_score: 606.2218, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1832.0698, usercpu_time_millis: 4448.804, usercpu_time_millis_testing: 20.512, usercpu_time_millis_training: 4428.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6764, kappa: 0.3479, kb_relative_information_score: 605.4168, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6809, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1771.2327, usercpu_time_millis: 4360.419, usercpu_time_millis_testing: 20.665, usercpu_time_millis_training: 4339.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6829, kappa: 0.361, kb_relative_information_score: 614.2409, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6875, predictive_accuracy: 0.687, prior_entropy: 0.9948, recall: 0.687, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9485, scimark_benchmark: 1817.7312, usercpu_time_millis: 4302.199, usercpu_time_millis_testing: 19.953, usercpu_time_millis_training: 4282.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6812, kappa: 0.3577, kb_relative_information_score: 615.5847, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6859, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9486, scimark_benchmark: 1832.5979, usercpu_time_millis: 4349.169, usercpu_time_millis_testing: 20.682, usercpu_time_millis_training: 4328.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6787, kappa: 0.3524, kb_relative_information_score: 614.5548, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.683, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1850.2875, usercpu_time_millis: 4140.668, usercpu_time_millis_testing: 19.711, usercpu_time_millis_training: 4120.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6872, kappa: 0.3697, kb_relative_information_score: 559.5127, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6919, predictive_accuracy: 0.6913, prior_entropy: 0.9948, recall: 0.6913, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9461, scimark_benchmark: 1809.1765, usercpu_time_millis: 3556.408, usercpu_time_millis_testing: 20.805, usercpu_time_millis_training: 3535.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.688, kappa: 0.3719, kb_relative_information_score: 543.2444, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6944, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9452, scimark_benchmark: 1853.9121, usercpu_time_millis: 3550.469, usercpu_time_millis_testing: 22.251, usercpu_time_millis_training: 3528.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6914, kappa: 0.3789, kb_relative_information_score: 533.1992, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6989, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1816.1301, usercpu_time_millis: 3574.736, usercpu_time_millis_testing: 23.472, usercpu_time_millis_training: 3551.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6886, kappa: 0.3726, kb_relative_information_score: 540.697, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6939, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1727.4447, usercpu_time_millis: 3580.579, usercpu_time_millis_testing: 21.626, usercpu_time_millis_training: 3558.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6869, kappa: 0.3694, kb_relative_information_score: 544.7748, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6928, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9453, scimark_benchmark: 1810.7034, usercpu_time_millis: 3522.136, usercpu_time_millis_testing: 20.978, usercpu_time_millis_training: 3501.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6859, kappa: 0.3672, kb_relative_information_score: 559.9885, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9457, scimark_benchmark: 1720.6727, usercpu_time_millis: 3575.315, usercpu_time_millis_testing: 19.924, usercpu_time_millis_training: 3555.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6912, kappa: 0.3787, kb_relative_information_score: 529.9386, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6991, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1817.9194, usercpu_time_millis: 3459.352, usercpu_time_millis_testing: 22.168, usercpu_time_millis_training: 3437.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6864, kappa: 0.3682, kb_relative_information_score: 554.1781, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6917, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9453, scimark_benchmark: 1821.7903, usercpu_time_millis: 3496.736, usercpu_time_millis_testing: 21.169, usercpu_time_millis_training: 3475.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6939, kappa: 0.384, kb_relative_information_score: 524.213, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411, scimark_benchmark: 1840.0237, usercpu_time_millis: 3328.985, usercpu_time_millis_testing: 23.351, usercpu_time_millis_training: 3305.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6914, kappa: 0.3789, kb_relative_information_score: 533.0992, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6989, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1807.4271, usercpu_time_millis: 3281.799, usercpu_time_millis_testing: 20.765, usercpu_time_millis_training: 3261.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6936, kappa: 0.3835, kb_relative_information_score: 521.503, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7018, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9406, scimark_benchmark: 1825.7178, usercpu_time_millis: 3295.221, usercpu_time_millis_testing: 23.491, usercpu_time_millis_training: 3271.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6886, kappa: 0.3737, kb_relative_information_score: 524.6721, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6967, predictive_accuracy: 0.6942, prior_entropy: 0.9948, recall: 0.6942, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.943, scimark_benchmark: 1836.6101, usercpu_time_millis: 3350.529, usercpu_time_millis_testing: 20.398, usercpu_time_millis_training: 3330.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6918, kappa: 0.3799, kb_relative_information_score: 522.1363, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6996, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1730.591, usercpu_time_millis: 3392.208, usercpu_time_millis_testing: 22.623, usercpu_time_millis_training: 3369.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.692, kappa: 0.3808, kb_relative_information_score: 520.1006, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7012, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9394, scimark_benchmark: 1800.9139, usercpu_time_millis: 3241.953, usercpu_time_millis_testing: 22.909, usercpu_time_millis_training: 3219.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6925, kappa: 0.3812, kb_relative_information_score: 531.3876, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428, scimark_benchmark: 1810.2635, usercpu_time_millis: 3302.293, usercpu_time_millis_testing: 21.643, usercpu_time_millis_training: 3280.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7003, kappa: 0.3972, kb_relative_information_score: 535.9979, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7088, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9344, scimark_benchmark: 1831.5279, usercpu_time_millis: 3068.941, usercpu_time_millis_testing: 24.784, usercpu_time_millis_training: 3044.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.702, kappa: 0.4003, kb_relative_information_score: 543.3409, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9319, scimark_benchmark: 1814.0421, usercpu_time_millis: 2963.564, usercpu_time_millis_testing: 24.092, usercpu_time_millis_training: 2939.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6926, kappa: 0.3818, kb_relative_information_score: 527.022, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1722.143, usercpu_time_millis: 3059.384, usercpu_time_millis_testing: 20.999, usercpu_time_millis_training: 3038.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.6951, kappa: 0.3867, kb_relative_information_score: 533.7299, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7036, predictive_accuracy: 0.7006, prior_entropy: 0.9948, recall: 0.7006, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9354, scimark_benchmark: 1776.548, usercpu_time_millis: 2975.657, usercpu_time_millis_testing: 23.473, usercpu_time_millis_training: 2952.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7006, kappa: 0.3976, kb_relative_information_score: 541.6931, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7084, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9334, scimark_benchmark: 1855.0232, usercpu_time_millis: 2843.622, usercpu_time_millis_testing: 22.726, usercpu_time_millis_training: 2820.896,

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