OpenML
Supervised Classification on fl2000

Supervised Classification on fl2000

Task 3851 Supervised Classification fl2000 505 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.1247, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7323, kappa: 0.4296, kb_relative_information_score: 21.6061, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7496, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 28.6801, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6693, kappa: 0.2954, kb_relative_information_score: 22.5207, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6795, predictive_accuracy: 0.6866, prior_entropy: 0.9656, recall: 0.6866, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.7081, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8639, kappa: 0.7111, kb_relative_information_score: 41.4763, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8659, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.307, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7264, kappa: 0.418, kb_relative_information_score: 29.2736, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7269, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.5918, kappa: 0.1332, kb_relative_information_score: 12.3262, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5889, predictive_accuracy: 0.597, prior_entropy: 0.9656, recall: 0.597, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.3116, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7501, kappa: 0.4672, kb_relative_information_score: 22.9487, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7639, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7082, kappa: 0.3822, kb_relative_information_score: 29.11, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7437, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.3519, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 27.6085, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7775, kappa: 0.5267, kb_relative_information_score: 23.4731, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8075, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.4646, kb_relative_information_score: -0.1984, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 28.19, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 26.9274, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6251, kappa: 0.2008, kb_relative_information_score: 16.7097, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6277, predictive_accuracy: 0.6418, prior_entropy: 0.9656, recall: 0.6418, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7593, kappa: 0.4891, kb_relative_information_score: 20.1379, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7953, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6822, kappa: 0.3239, kb_relative_information_score: 24.7897, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6987, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.4101, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6693, kappa: 0.2954, kb_relative_information_score: 19.9144, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6795, predictive_accuracy: 0.6866, prior_entropy: 0.9656, recall: 0.6866, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.6822, kappa: 0.3239, kb_relative_information_score: 24.941, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6987, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.6749, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.4646, kb_relative_information_score: -0.0273, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7538, kappa: 0.475, kb_relative_information_score: 25.2634, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7598, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6757, kappa: 0.3366, kb_relative_information_score: 19.6994, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6904, predictive_accuracy: 0.6716, prior_entropy: 0.9656, recall: 0.6716, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.573, root_relative_squared_error: 1.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5282, kappa: 0.0351, kb_relative_information_score: -1.7356, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5423, predictive_accuracy: 0.5224, prior_entropy: 0.9656, recall: 0.5224, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4182, scimark_benchmark: 1280.301, usercpu_time_millis: 129078.125, usercpu_time_millis_training: 129078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6892, kappa: 0.3537, kb_relative_information_score: 21.8429, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6945, predictive_accuracy: 0.6866, prior_entropy: 0.9656, recall: 0.6866, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1488, scimark_benchmark: 1280.301, usercpu_time_millis: 105359.375, usercpu_time_millis_training: 105359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8176, kappa: 0.612, kb_relative_information_score: 39.6524, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8207, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8223, scimark_benchmark: 1787.9841, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8176, kappa: 0.612, kb_relative_information_score: 39.6524, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8207, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8223, scimark_benchmark: 1614.549, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1654.8218, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1384.2284, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8652, kappa: 0.7152, kb_relative_information_score: 41.8117, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8651, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7155, scimark_benchmark: 1671.2677, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5282, kappa: 0.0351, kb_relative_information_score: -1.7356, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5423, predictive_accuracy: 0.5224, prior_entropy: 0.9656, recall: 0.5224, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4182, scimark_benchmark: 1629.3137, usercpu_time_millis: 3130, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6892, kappa: 0.3537, kb_relative_information_score: 21.8429, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6945, predictive_accuracy: 0.6866, prior_entropy: 0.9656, recall: 0.6866, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1488, scimark_benchmark: 1586.5249, usercpu_time_millis: 3200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8942, kappa: 0.7753, kb_relative_information_score: 36.1563, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8967, predictive_accuracy: 0.8955, prior_entropy: 0.9656, recall: 0.8955, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7235, scimark_benchmark: 1665.974, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8176, kappa: 0.612, kb_relative_information_score: 33.9587, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8207, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7879, scimark_benchmark: 1466.0487, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.6749, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0946, scimark_benchmark: 1347.0646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7501, kappa: 0.4672, kb_relative_information_score: 30.2611, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7639, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8371, scimark_benchmark: 1214.2481, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3781, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 1175.2505, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 1299.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.4699, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7961, scimark_benchmark: 1021.662, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.2805, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9454, scimark_benchmark: 961.506, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6719, kappa: 0.3218, kb_relative_information_score: 16.5168, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.767, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9222, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 26.1181, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7876, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.1247, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0912, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.6749, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0946, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 30.4955, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8335, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3781, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 29.6199, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.4699, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7961, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7365, kappa: 0.4381, kb_relative_information_score: 23.7608, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7449, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9308, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.6719, kappa: 0.3218, kb_relative_information_score: 16.5619, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.767, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9259, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 26.543, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7873, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.1247, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0912, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3783, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.7081, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9307, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7813, kappa: 0.5338, kb_relative_information_score: 31.972, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7979, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8107, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.4699, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7961, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.4699, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7961, 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: 0.8208, f_measure: 0.7313, kappa: 0.4343, kb_relative_information_score: 30.7838, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7313, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9167, 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: 0.781, f_measure: 0.7593, kappa: 0.49, kb_relative_information_score: 27.2281, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7587, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8807, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.748, kappa: 0.473, kb_relative_information_score: 22.3191, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8361, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8405, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7457, kappa: 0.4591, kb_relative_information_score: 23.0349, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7713, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8283, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212, scimark_benchmark: 1115.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3783, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 1002.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.7081, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9307, scimark_benchmark: 877.0034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7145, kappa: 0.4027, kb_relative_information_score: 21.342, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7899, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8574, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8126, kappa: 0.6004, kb_relative_information_score: 36.226, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.832, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8448, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.773, kappa: 0.5195, kb_relative_information_score: 30.8918, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8222, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8901, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6683, kappa: 0.3028, kb_relative_information_score: 14.5983, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7138, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.908, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 29.8296, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.797, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 25.4284, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8296, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7064, kappa: 0.3932, kb_relative_information_score: 30.4169, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8206, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0337, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 17.5418, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9694, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6683, kappa: 0.3028, kb_relative_information_score: 16.4383, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7138, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9672, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.0712, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9772, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.1247, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0912, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs