Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 957.5813, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1837.0722, usercpu_time_millis: 292.346, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 290.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.686, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0007, scimark_benchmark: 1833.6549, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 3.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7522, kappa: 0.5001, kb_relative_information_score: 1117.5449, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8329, scimark_benchmark: 1846.4335, usercpu_time_millis: 5.439, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1667, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 9.278, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 7.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7538, kappa: 0.5031, kb_relative_information_score: 900.5001, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1848.372, usercpu_time_millis: 11.721, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 11.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.4335, usercpu_time_millis: 7.296, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 919.007, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 1843.7454, usercpu_time_millis: 15.904, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 15.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0717, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.4233, usercpu_time_millis: 7.505, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 6.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7082, kappa: 0.4111, kb_relative_information_score: 508.5074, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7091, predictive_accuracy: 0.7097, prior_entropy: 0.9948, recall: 0.7097, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9126, scimark_benchmark: 1839.7911, usercpu_time_millis: 27.812, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 26.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0915, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.3864, usercpu_time_millis: 7.182, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 6.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7597, kappa: 0.5151, kb_relative_information_score: 1034.0633, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8381, scimark_benchmark: 1848.5681, usercpu_time_millis: 29.171, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 28.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.6977, kappa: 0.3903, kb_relative_information_score: 444.731, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.7006, prior_entropy: 0.9948, recall: 0.7006, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9229, scimark_benchmark: 1837.1638, usercpu_time_millis: 11.641, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 10.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.9089, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.8886, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 3.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7805, kappa: 0.5572, kb_relative_information_score: 1221.761, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8064, scimark_benchmark: 1845.7835, usercpu_time_millis: 47.167, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 45.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1453, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 6.313, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 5.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 870.2322, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8693, scimark_benchmark: 1843.9828, usercpu_time_millis: 50.32, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 49.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1881, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.9456, usercpu_time_millis: 8.315, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 7.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0484, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.8886, usercpu_time_millis: 4.798, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 4.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0352, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 11.441, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 9.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.7915, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.3014, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 3.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0995, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 5.63, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 4.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 726.489, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8849, scimark_benchmark: 1845.9141, usercpu_time_millis: 25.591, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 24.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7527, kappa: 0.5009, kb_relative_information_score: 1137.0167, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1845.7835, usercpu_time_millis: 64.129, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 63.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0626, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1847.7335, usercpu_time_millis: 6.48, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 5.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0675, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1827.7633, usercpu_time_millis: 7.277, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 1130.8762, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8321, scimark_benchmark: 1845.264, usercpu_time_millis: 22.027, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 21.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7497, kappa: 0.4952, kb_relative_information_score: 1268.0854, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8272, scimark_benchmark: 1849.5386, usercpu_time_millis: 56.993, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 56.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 845.0371, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1817.8416, usercpu_time_millis: 14.367, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 13.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1060.0886, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8307, scimark_benchmark: 1840.1791, usercpu_time_millis: 43.54, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 42.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.1814, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 4.66, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1533, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.5803, usercpu_time_millis: 9.288, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 7.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.6918, kappa: 0.3787, kb_relative_information_score: 370.3538, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6955, prior_entropy: 0.9948, recall: 0.6955, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9349, scimark_benchmark: 1847.9815, usercpu_time_millis: 12.982, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 11.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7711, kappa: 0.5381, kb_relative_information_score: 1302.2903, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1851.8968, usercpu_time_millis: 37.498, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 36.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.2705, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.2001, usercpu_time_millis: 5.778, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7497, kappa: 0.495, kb_relative_information_score: 785.9761, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8714, scimark_benchmark: 1855.0776, usercpu_time_millis: 56.946, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 55.823,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7518, kappa: 0.4992, kb_relative_information_score: 823.5502, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8656, scimark_benchmark: 1844.4297, usercpu_time_millis: 108.992, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 107.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7484, kappa: 0.4924, kb_relative_information_score: 805.4112, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8685, scimark_benchmark: 1840.0576, usercpu_time_millis: 115.746, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 114.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 757.4423, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.883, scimark_benchmark: 1851.4874, usercpu_time_millis: 146.016, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 144.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0294, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 6.456, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 5.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7364, kappa: 0.4692, kb_relative_information_score: 822.4134, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8708, scimark_benchmark: 1842.0729, usercpu_time_millis: 21.095, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 20.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.085, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.4431, usercpu_time_millis: 8.849, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 7.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7488, kappa: 0.4932, kb_relative_information_score: 697.4054, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7493, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8848, scimark_benchmark: 1817.1684, usercpu_time_millis: 19.194, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 18.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1232.5153, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1853.454, usercpu_time_millis: 12.896, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 12.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.024, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1831.1542, usercpu_time_millis: 6.658, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 5.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.9649, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7061, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1108, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1799.6203, usercpu_time_millis: 9.674, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 8.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0979, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.1471, usercpu_time_millis: 7.699, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.8262, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1851.3986, usercpu_time_millis: 11.744, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 11.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.736, kappa: 0.4673, kb_relative_information_score: 524.9518, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9097, scimark_benchmark: 1854.9533, usercpu_time_millis: 29.269, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 28.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 814.3856, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1841.1577, usercpu_time_millis: 81.07, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 80.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7506, kappa: 0.4968, kb_relative_information_score: 1021.8957, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7508, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8465, scimark_benchmark: 1848.6795, usercpu_time_millis: 80.984, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 80.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1588.5087, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1730.7262, usercpu_time_millis: 129.97, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 129.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1698, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1828.1532, usercpu_time_millis: 4.778, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.1856, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.8616, usercpu_time_millis: 4.948, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.5547, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.3311, usercpu_time_millis: 4.634, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 3.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1751, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.7911, usercpu_time_millis: 7.513, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 6.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1311, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.2001, usercpu_time_millis: 6.549, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 5.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0095, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1831.1542, usercpu_time_millis: 7.624, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 6.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0082, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.9051, usercpu_time_millis: 7.413, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 6.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0543, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1819.5286, usercpu_time_millis: 8.919, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 7.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1210.9173, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1733.2459, usercpu_time_millis: 32.318, usercpu_time_millis_testing: 1.848, usercpu_time_millis_training: 30.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0867, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1834.8102, usercpu_time_millis: 7.571, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 6.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.4233, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.681, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 3.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1085, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 6.643, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 5.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0585, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1840.6995, usercpu_time_millis: 6.784, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 5.656,

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