Task
Supervised Classification on prnn_synth

Supervised Classification on prnn_synth

Task 3555 Supervised Classification prnn_synth 896 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 157.7339, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 130.2846, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8719, kappa: 0.744, kb_relative_information_score: 156.879, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8735, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 180, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7516, kappa: 0.52, kb_relative_information_score: 106.6526, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8007, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 147.113, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 142.3406, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 149.3599, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8316, kappa: 0.664, kb_relative_information_score: 149.1245, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8351, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 135.8006, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 149.3325, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 143.7403, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.403, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8358, kappa: 0.672, kb_relative_information_score: 163.8822, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8378, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 139.3288, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 156.8651, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 156.8651, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 158.2819, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8437, kappa: 0.688, kb_relative_information_score: 169.9587, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8467, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 154.8562, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 116.1817, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 156.5111, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 156.5111, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 156.5111, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 150.9098, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.162, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8357, kappa: 0.672, kb_relative_information_score: 149.1331, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8386, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 153.5737, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.1036, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 150.3859, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8398, kappa: 0.68, kb_relative_information_score: 158.7828, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8414, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8239, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8247, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8035, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8394, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8638, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8663, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8638, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8663, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, scimark_benchmark: 1398.6233, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8438, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1289.5178, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8035, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8394, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1700.1813, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 144.9119, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6699, scimark_benchmark: 1918.4916, usercpu_time_millis: 484.375, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 152.1481, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6557, scimark_benchmark: 1918.4916, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 176, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1427.64, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 147.7339, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6764, scimark_benchmark: 1390.2046, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 152.1468, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6557, scimark_benchmark: 1255.8196, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 1300.4632, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8494, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 144.9229, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6698, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 151.835, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6503, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 180.8408, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.4046, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6516, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 133.4694, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7534, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8159, kappa: 0.632, kb_relative_information_score: 134.2062, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7837, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 157.7206, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6826, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 149.3325, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 149.1622, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8494, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 144.9229, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6698, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 151.835, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6503, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 180.8408, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.4046, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6516, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8358, kappa: 0.672, kb_relative_information_score: 139.2624, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8378, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7399, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 131.7684, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.821, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.782, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 157.5489, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6859, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 149.3325, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 146.3903, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.4046, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6516, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 144.9229, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6698, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.4046, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6516, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 135.8006, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7394, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8518, kappa: 0.704, kb_relative_information_score: 144.9229, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8538, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6698, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 151.835, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6503, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 973.0408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 151.835, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6503, scimark_benchmark: 1011.9184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 135.8006, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7394, scimark_benchmark: 1138.7932, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 159.5759, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6373, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8253, kappa: 0.656, kb_relative_information_score: 171.4505, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8495, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6625, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8253, kappa: 0.656, kb_relative_information_score: 171.4505, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8495, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6625, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8559, kappa: 0.712, kb_relative_information_score: 159.5759, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6373, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 156.5111, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 156.5111, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 166, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8558, kappa: 0.712, kb_relative_information_score: 178, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8583, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7589, usercpu_time_millis: 25.678, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 25.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8083, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.025, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 192, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8846, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 164, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8478, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8494, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, scimark_benchmark: 1779.392,

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