Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

76354 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: 0.9923, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 493.8437, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3444, scimark_benchmark: 1821.5659, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9701, kappa: 0.9362, kb_relative_information_score: 490.514, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3551, scimark_benchmark: 1850.6054, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 424.8475, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4514, scimark_benchmark: 1836.6101, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4838, kb_relative_information_score: 0.2811, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1834.5587, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.7839, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1844.0458, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 461.977, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4112, scimark_benchmark: 1866.8117, usercpu_time_millis: 4.78, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 4.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1748.2205, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9493, kappa: 0.8921, kb_relative_information_score: 443.359, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9503, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.42, scimark_benchmark: 1746.0413, usercpu_time_millis: 1.714, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 477.6603, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3854, scimark_benchmark: 1871.4349, usercpu_time_millis: 2.821, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 2.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 463.9959, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4045, scimark_benchmark: 1753.4131, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 457.6838, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4116, scimark_benchmark: 1827.1353, usercpu_time_millis: 3.669, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 3.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 442.0651, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4552, scimark_benchmark: 1775.001, usercpu_time_millis: 3.103, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9527, kappa: 0.8992, kb_relative_information_score: 450.2387, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4119, scimark_benchmark: 1833.1288, usercpu_time_millis: 1.955, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.5662, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3708, scimark_benchmark: 1870.5885, usercpu_time_millis: 7.778, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 7.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 464.457, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4133, scimark_benchmark: 1716.5926, usercpu_time_millis: 1.801, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.0614, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.2039, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1748.3204, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4838, kb_relative_information_score: -0.2546, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1738.6251, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 447.6995, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4168, scimark_benchmark: 1774.3424, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 477.2331, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3915, scimark_benchmark: 1093.6606, usercpu_time_millis: 2.482, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 471.4218, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3911, scimark_benchmark: 1743.073, usercpu_time_millis: 2.775, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 463.731, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.382, scimark_benchmark: 1809.3905, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.6778, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1871.4349, usercpu_time_millis: 4.114, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 3.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.2665, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4157, scimark_benchmark: 1095.2395, usercpu_time_millis: 9.397, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 8.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 447.0214, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4152, scimark_benchmark: 1865.1205, usercpu_time_millis: 3.661, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 3.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 466.8317, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4081, scimark_benchmark: 1913.6852, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 3.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.7737, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.408, scimark_benchmark: 1908.7872, usercpu_time_millis: 3.788, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 3.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.2076, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1752.4403, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1091.3191, usercpu_time_millis: 1.176, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 473.2676, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3827, scimark_benchmark: 1858.0644, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 462.1946, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.421, scimark_benchmark: 1752.4403, usercpu_time_millis: 3.281, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 443.3455, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4393, scimark_benchmark: 1912.8368, usercpu_time_millis: 3.563, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 3.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9182, kappa: 0.8234, kb_relative_information_score: 397.1046, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9202, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5042, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.597, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9492, kappa: 0.8919, kb_relative_information_score: 457.757, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9499, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4073, scimark_benchmark: 1875.3104, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 465.2169, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3994, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.626, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4838, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1863.8212, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 435.4623, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.429, scimark_benchmark: 1852.6763, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.1281, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1855.2567, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9474, kappa: 0.8877, kb_relative_information_score: 461.9111, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9476, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4092, scimark_benchmark: 1748.3204, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 449.6406, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4323, scimark_benchmark: 1092.6016, usercpu_time_millis: 2.544, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 458.8604, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9408, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4346, scimark_benchmark: 1862.264, usercpu_time_millis: 7.335, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 7.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 414.6418, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4391, scimark_benchmark: 1870.9309, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4838, kb_relative_information_score: 0.1537, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1873.0711, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 472.0009, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4075, scimark_benchmark: 1855.7733, usercpu_time_millis: 18.27, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 17.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 497.6244, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3396, scimark_benchmark: 2133.7583, usercpu_time_millis: 0.236, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 475.5954, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4218, scimark_benchmark: 1748.2025, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 465.768, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4265, scimark_benchmark: 1859.035, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 443.1093, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4248, scimark_benchmark: 1747.403, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 470.0932, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3956, scimark_benchmark: 1867.984, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1351, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1860.0075, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 443.5626, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4255, scimark_benchmark: 1745.0258, usercpu_time_millis: 0.482, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9561, kappa: 0.9063, kb_relative_information_score: 481.8383, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3895, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.161, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 481.2617, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3825, scimark_benchmark: 1750.4915, usercpu_time_millis: 4.038, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 475.2024, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.383, scimark_benchmark: 1855.3202, usercpu_time_millis: 1.924, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9544, kappa: 0.9028, kb_relative_information_score: 458.5738, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9548, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4045, scimark_benchmark: 1743.6532, usercpu_time_millis: 3.838, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9421, kappa: 0.8763, kb_relative_information_score: 459.3145, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4347, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 471.1051, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3792, scimark_benchmark: 1869.2273, usercpu_time_millis: 3.082, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 2.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 462.5257, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4043, scimark_benchmark: 1866.2865, usercpu_time_millis: 2.072, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 476.6347, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.191, root_relative_squared_error: 0.395, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9437, kappa: 0.8795, kb_relative_information_score: 463.8214, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9437, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4282, scimark_benchmark: 1861.8338, usercpu_time_millis: 8.984, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 8.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.0194, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3823, scimark_benchmark: 1875.6164, usercpu_time_millis: 6.737, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 6.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 465.3735, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4119, scimark_benchmark: 1868.2531, usercpu_time_millis: 12.454, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 12.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 476.0795, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3894, scimark_benchmark: 1866.7447, usercpu_time_millis: 13.142, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 12.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.1531, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4144, scimark_benchmark: 1722.761, usercpu_time_millis: 9.518, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 9.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 471.3955, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.407, scimark_benchmark: 1868.1832, usercpu_time_millis: 13.339, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 12.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.928, kappa: 0.846, kb_relative_information_score: 453.5199, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.928, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4648, scimark_benchmark: 1866.1009, usercpu_time_millis: 23.228, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 22.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4838, kb_relative_information_score: 0.1222, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 474.8718, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3893, scimark_benchmark: 1867.725, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 452.3932, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4163, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 460.8569, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4111, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 2.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4838, kb_relative_information_score: -0.2756, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1729.967, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 462.1124, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4069, scimark_benchmark: 1746.226, usercpu_time_millis: 2.829, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 451.8084, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4161, scimark_benchmark: 1870.0634, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 466.0692, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3972, scimark_benchmark: 1874.5882, usercpu_time_millis: 3.452, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 3.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 468.1039, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3917, scimark_benchmark: 1870.0634, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 473.0907, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3931, scimark_benchmark: 1866.7447, usercpu_time_millis: 1.984, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 470.1913, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3708, scimark_benchmark: 1854.2898, usercpu_time_millis: 3.229, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 2.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 459.0784, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4084, scimark_benchmark: 1080.4993, usercpu_time_millis: 2.617, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.2246, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1103.6289, usercpu_time_millis: 1.198, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 469.652, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3927, scimark_benchmark: 1240.7224, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 3.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 461.8941, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4131, scimark_benchmark: 1085.3272, usercpu_time_millis: 12.085, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 11.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 463.4029, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3884, scimark_benchmark: 1079.8132, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.021, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1926.0906, usercpu_time_millis: 0.495, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9185, kappa: 0.8244, kb_relative_information_score: 408.3444, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9193, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4795, scimark_benchmark: 1498.3836, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9422, kappa: 0.8768, kb_relative_information_score: 456.927, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9427, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4241, scimark_benchmark: 1257.7701, usercpu_time_millis: 3.453, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 3.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 483.2563, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3626, scimark_benchmark: 1128.1797, usercpu_time_millis: 8.582, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 7.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 475.1723, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3835, scimark_benchmark: 1862.7806, usercpu_time_millis: 0.762, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 459.0597, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1749.5822, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: 0.0139, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1743.2043, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4838, kb_relative_information_score: 0.4031, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1922.1782, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 478.6154, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3852, scimark_benchmark: 1855.7107, usercpu_time_millis: 13.364, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 12.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 484.8182, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3699, scimark_benchmark: 1095.9031, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9543, kappa: 0.9025, kb_relative_information_score: 477.9109, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3862, scimark_benchmark: 1924.0717, usercpu_time_millis: 2.503, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 2.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 475.1283, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.383, scimark_benchmark: 1249.8994, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 461.239, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4113, scimark_benchmark: 1249.0511, usercpu_time_millis: 7.405, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 6.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 475.169, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3965, scimark_benchmark: 1068.3389, usercpu_time_millis: 12.609, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 11.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 479.4583, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779, scimark_benchmark: 1859.9421, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 463.0853, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.389, scimark_benchmark: 1864.2071, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9527, kappa: 0.899, kb_relative_information_score: 458.778, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4039, scimark_benchmark: 1743.2559, usercpu_time_millis: 2.542, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 425.5652, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4232, scimark_benchmark: 1749.9829, usercpu_time_millis: 2.957, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 2.517,

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