Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9941 Supervised Classification wall-robot-navigation 78 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5398.4243, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9987, kappa: 0.9981, kb_relative_information_score: 5436.7199, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 1.7151, recall: 0.9987, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5334.3338, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9987, kappa: 0.9981, kb_relative_information_score: 5438.2653, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 1.7151, recall: 0.9987, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9847, kappa: 0.977, kb_relative_information_score: 5229.0678, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 1.7151, recall: 0.9848, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9853, kappa: 0.9779, kb_relative_information_score: 5328.8997, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 1.7151, recall: 0.9853, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9426, kappa: 0.9132, kb_relative_information_score: 4976.5996, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9439, predictive_accuracy: 0.9423, prior_entropy: 1.7151, recall: 0.9423, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9656, kappa: 0.9489, kb_relative_information_score: 4825.6038, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9669, predictive_accuracy: 0.9663, prior_entropy: 1.7151, recall: 0.9663, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9656, kappa: 0.9489, kb_relative_information_score: 4825.6038, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9669, predictive_accuracy: 0.9663, prior_entropy: 1.7151, recall: 0.9663, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9837, kappa: 0.9754, kb_relative_information_score: 5301.7912, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 1.7151, recall: 0.9837, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9056, kappa: 0.8581, kb_relative_information_score: 4412.3851, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9093, predictive_accuracy: 0.9052, prior_entropy: 1.7151, recall: 0.9052, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.7106, kappa: 0.6356, kb_relative_information_score: 1805.7447, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6598, predictive_accuracy: 0.7731, prior_entropy: 1.7151, recall: 0.7731, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9056, kappa: 0.8581, kb_relative_information_score: 4412.3851, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9093, predictive_accuracy: 0.9052, prior_entropy: 1.7151, recall: 0.9052, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6201, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0132, root_relative_squared_error: 0.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9348, kappa: 0.9032, kb_relative_information_score: 3522.1279, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9402, predictive_accuracy: 0.9371, prior_entropy: 1.7151, recall: 0.9371, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9853, kappa: 0.9779, kb_relative_information_score: 5317.9552, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 1.7151, recall: 0.9853, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9853, kappa: 0.9779, kb_relative_information_score: 5317.9552, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 1.7151, recall: 0.9853, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9853, kappa: 0.9779, kb_relative_information_score: 5317.9552, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 1.7151, recall: 0.9853, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.907, kappa: 0.8603, kb_relative_information_score: 4413.6734, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9106, predictive_accuracy: 0.9067, prior_entropy: 1.7151, recall: 0.9067, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9056, kappa: 0.8581, kb_relative_information_score: 4412.3851, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9093, predictive_accuracy: 0.9052, prior_entropy: 1.7151, recall: 0.9052, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9892, kappa: 0.9837, kb_relative_information_score: 5165.5192, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 1.7151, recall: 0.9892, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9233, kappa: 0.8852, kb_relative_information_score: 4490.6204, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9281, predictive_accuracy: 0.9239, prior_entropy: 1.7151, recall: 0.9239, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7094, kappa: 0.6336, kb_relative_information_score: 1797.3382, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6586, predictive_accuracy: 0.7718, prior_entropy: 1.7151, recall: 0.7718, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.9393, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0128, root_relative_squared_error: 0.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7094, kappa: 0.6336, kb_relative_information_score: 1797.3382, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6586, predictive_accuracy: 0.7718, prior_entropy: 1.7151, recall: 0.7718, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9056, kappa: 0.8581, kb_relative_information_score: 4418.5408, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9092, predictive_accuracy: 0.9052, prior_entropy: 1.7151, recall: 0.9052, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7094, kappa: 0.6336, kb_relative_information_score: 1797.3382, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6586, predictive_accuracy: 0.7718, prior_entropy: 1.7151, recall: 0.7718, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, kappa: 0.6495, kb_relative_information_score: 3057.2392, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7885, prior_entropy: 1.7151, recall: 0.7885, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9601, kappa: 0.9398, kb_relative_information_score: 5074.8649, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 1.7151, recall: 0.96, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5441.2316, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9516, kappa: 0.927, kb_relative_information_score: 5051.5764, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 1.7151, recall: 0.9518, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9985, kappa: 0.9978, kb_relative_information_score: 5435.1606, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1.7151, recall: 0.9985, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0665, usercpu_time_millis: 18.735, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 18.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.897, kappa: 0.8456, kb_relative_information_score: 4622.231, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8968, predictive_accuracy: 0.8986, prior_entropy: 1.7151, recall: 0.8986, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5532, usercpu_time_millis: 20.046, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 19.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9705, kappa: 0.9556, kb_relative_information_score: 5231.0112, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9714, predictive_accuracy: 0.9705, prior_entropy: 1.7151, recall: 0.9705, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2985, usercpu_time_millis: 8.859, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 8.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6447, kappa: 0.5516, kb_relative_information_score: 2846.3487, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5788, predictive_accuracy: 0.7287, prior_entropy: 1.7151, recall: 0.7287, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.905, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.6542, kappa: 0.5351, kb_relative_information_score: 3050.5007, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7207, predictive_accuracy: 0.7091, prior_entropy: 1.7151, recall: 0.7091, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9371, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8872, kappa: 0.83, kb_relative_information_score: 4601.2611, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.889, predictive_accuracy: 0.8873, prior_entropy: 1.7151, recall: 0.8873, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5834, usercpu_time_millis: 87.634, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 86.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5454.4825, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7151, recall: 1, root_mean_prior_squared_error: 0.4069, usercpu_time_millis: 92.998, usercpu_time_millis_testing: 8.611, usercpu_time_millis_training: 84.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5454.4825, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7151, recall: 1, root_mean_prior_squared_error: 0.4069, usercpu_time_millis: 7.174, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 6.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333, usercpu_time_millis: 18.043, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 17.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9056, kappa: 0.8581, kb_relative_information_score: 4766.3811, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9091, predictive_accuracy: 0.9052, prior_entropy: 1.7151, recall: 0.9052, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.5349, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9753, kappa: 0.9626, kb_relative_information_score: 5261.4876, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 1.7151, recall: 0.9753, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2733, usercpu_time_millis: 104.003, usercpu_time_millis_testing: 5.377, usercpu_time_millis_training: 98.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9995, kappa: 0.9992, kb_relative_information_score: 5447.9263, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 1.7151, recall: 0.9995, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.0407, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7949, kappa: 0.7115, kb_relative_information_score: 3639.5842, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7952, predictive_accuracy: 0.8163, prior_entropy: 1.7151, recall: 0.8163, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7446, usercpu_time_millis: 1.373, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333, usercpu_time_millis: 340.264, usercpu_time_millis_testing: 4.169, usercpu_time_millis_training: 336.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9987, kappa: 0.9981, kb_relative_information_score: 5443.1208, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 1.7151, recall: 0.9987, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0622, usercpu_time_millis: 8.771, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 8.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.6474, kappa: 0.5447, kb_relative_information_score: 2825.0227, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.684, predictive_accuracy: 0.7238, prior_entropy: 1.7151, recall: 0.7238, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9132, usercpu_time_millis: 2.265, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9048, kappa: 0.8566, kb_relative_information_score: 4761.2875, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9089, predictive_accuracy: 0.9043, prior_entropy: 1.7151, recall: 0.9043, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5375, usercpu_time_millis: 2.689, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5393.7087, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1431, usercpu_time_millis: 6.434, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 6.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5452.0577, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333, usercpu_time_millis: 250.298, usercpu_time_millis_testing: 138.09, usercpu_time_millis_training: 112.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7783, kappa: 0.6748, kb_relative_information_score: 3753.1359, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7877, predictive_accuracy: 0.7901, prior_entropy: 1.7151, recall: 0.7901, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.796, usercpu_time_millis: 17.769, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 17.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7867, kappa: 0.7053, kb_relative_information_score: 3824.2943, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8386, predictive_accuracy: 0.814, prior_entropy: 1.7151, recall: 0.814, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7495, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.876, kappa: 0.8188, kb_relative_information_score: 4410.1753, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.894, predictive_accuracy: 0.8836, prior_entropy: 1.7151, recall: 0.8836, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.5928, usercpu_time_millis: 1.434, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6524, kappa: 0.5338, kb_relative_information_score: 3043.0695, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7147, predictive_accuracy: 0.7084, prior_entropy: 1.7151, recall: 0.7084, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9383, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9835, kappa: 0.9751, kb_relative_information_score: 5333.8553, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9837, predictive_accuracy: 0.9835, prior_entropy: 1.7151, recall: 0.9835, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.2232, usercpu_time_millis: 4.604, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 3.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 5358.4622, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1911, usercpu_time_millis: 0.924, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9987, kappa: 0.9981, kb_relative_information_score: 5438.2653, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 1.7151, recall: 0.9987, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0622, usercpu_time_millis: 2.76, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 2.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333, usercpu_time_millis: 2.496, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9213, kappa: 0.8812, kb_relative_information_score: 4799.3596, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9247, predictive_accuracy: 0.9221, prior_entropy: 1.7151, recall: 0.9221, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.485, usercpu_time_millis: 51.282, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 50.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 5355.1618, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1911, usercpu_time_millis: 20.619, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 18.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.776, kappa: 0.7402, kb_relative_information_score: 3898.5685, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7333, predictive_accuracy: 0.8387, prior_entropy: 1.7151, recall: 0.8387, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6978, usercpu_time_millis: 8.528, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 8.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5411.2256, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.12, usercpu_time_millis: 9.087, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 7.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3457, kappa: -0.0003, kb_relative_information_score: 653.9765, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3109, predictive_accuracy: 0.3961, prior_entropy: 1.7151, recall: 0.3961, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.3503, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9997, kb_relative_information_score: 5452.0673, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 1.7151, recall: 0.9998, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0235, usercpu_time_millis: 41.148, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 41.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9063, kappa: 0.8592, kb_relative_information_score: 4691.4697, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9064, predictive_accuracy: 0.9074, prior_entropy: 1.7151, recall: 0.9074, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5286, usercpu_time_millis: 15.141, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 14.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9987, kappa: 0.9981, kb_relative_information_score: 5442.3871, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 1.7151, recall: 0.9987, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.0622, usercpu_time_millis: 1.611, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs