OpenML
Supervised Classification on bridges

Supervised Classification on bridges

Task 3870 Supervised Classification bridges 103 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8515, kappa: 0.6974, kb_relative_information_score: 68.6949, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8579, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7944, kappa: 0.5754, kb_relative_information_score: 63.365, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7944, predictive_accuracy: 0.7944, prior_entropy: 0.978, recall: 0.7944, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8418, kappa: 0.6752, kb_relative_information_score: 58.4858, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8438, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8423, kappa: 0.6796, kb_relative_information_score: 65.2402, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8507, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8141, kappa: 0.6192, kb_relative_information_score: 53.5319, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8174, predictive_accuracy: 0.8131, prior_entropy: 0.978, recall: 0.8131, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7748, kappa: 0.5336, kb_relative_information_score: 52.8184, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7745, predictive_accuracy: 0.7757, prior_entropy: 0.978, recall: 0.7757, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.759, kappa: 0.4986, kb_relative_information_score: 46.6734, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7696, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8787, kappa: 0.75, kb_relative_information_score: 79.2662, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8791, predictive_accuracy: 0.8785, prior_entropy: 0.978, recall: 0.8785, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8423, kappa: 0.6796, kb_relative_information_score: 53.4273, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8507, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8318, kappa: 0.6526, kb_relative_information_score: 64.7184, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8318, predictive_accuracy: 0.8318, prior_entropy: 0.978, recall: 0.8318, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.757, kappa: 0.495, kb_relative_information_score: 48.1785, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7732, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8194, kappa: 0.6243, kb_relative_information_score: 51.7087, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.824, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8238, kappa: 0.6443, kb_relative_information_score: 64.6362, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8369, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8016, kappa: 0.5876, kb_relative_information_score: 65.0754, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8031, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7726, kappa: 0.5271, kb_relative_information_score: 42.9224, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7746, predictive_accuracy: 0.7757, prior_entropy: 0.978, recall: 0.7757, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7295, kappa: 0.4426, kb_relative_information_score: 19.1152, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7691, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4364, kb_relative_information_score: -0.1573, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8194, kappa: 0.6243, kb_relative_information_score: 60.193, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.824, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8194, kappa: 0.6243, kb_relative_information_score: 54.5867, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.824, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8516, kappa: 0.6994, kb_relative_information_score: 58.9201, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8623, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8423, kappa: 0.6796, kb_relative_information_score: 65.0719, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8507, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8484, kappa: 0.6847, kb_relative_information_score: 73.4603, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.852, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.759, kappa: 0.4986, kb_relative_information_score: 42.9808, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7696, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8513, kappa: 0.6954, kb_relative_information_score: 68.1531, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8545, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.8304, kappa: 0.6478, kb_relative_information_score: 69.2791, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8314, predictive_accuracy: 0.8318, prior_entropy: 0.978, recall: 0.8318, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8492, kappa: 0.6869, kb_relative_information_score: 73.4603, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8504, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7398, kappa: 0.4585, kb_relative_information_score: 19.3702, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7491, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7726, kappa: 0.5271, kb_relative_information_score: 45.3667, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7746, predictive_accuracy: 0.7757, prior_entropy: 0.978, recall: 0.7757, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7765, kappa: 0.5354, kb_relative_information_score: 58.8263, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7942, predictive_accuracy: 0.785, prior_entropy: 0.978, recall: 0.785, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 67.5374, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 67.3433, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 68.6287, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.86, kappa: 0.7115, kb_relative_information_score: 74.9317, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8604, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6855, scimark_benchmark: 1922.3298, usercpu_time_millis: 1609.375, usercpu_time_millis_training: 1609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.795, kappa: 0.5783, kb_relative_information_score: 60.9169, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7962, predictive_accuracy: 0.7944, prior_entropy: 0.978, recall: 0.7944, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9215, scimark_benchmark: 1280.301, usercpu_time_millis: 9406.25, usercpu_time_millis_training: 9406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8418, kappa: 0.6752, kb_relative_information_score: 71.3697, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8438, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8101, scimark_benchmark: 1280.301, usercpu_time_millis: 7812.5, usercpu_time_millis_training: 7812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6768, kappa: 0.3456, kb_relative_information_score: 42.1017, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7477, predictive_accuracy: 0.7103, prior_entropy: 0.978, recall: 0.7103, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0939, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4364, kb_relative_information_score: 14.9243, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.6413, root_relative_squared_error: 1.3032, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.86, kappa: 0.7115, kb_relative_information_score: 73.7093, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8604, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7273, scimark_benchmark: 1862.8608, usercpu_time_millis: 1046.875, usercpu_time_millis_training: 1046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.86, kappa: 0.7115, kb_relative_information_score: 73.7093, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8604, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7273, scimark_benchmark: 1787.9841, usercpu_time_millis: 1187.5, usercpu_time_millis_training: 1187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.86, kappa: 0.7115, kb_relative_information_score: 73.7093, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8604, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7273, scimark_benchmark: 1545.4574, usercpu_time_millis: 1220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4364, kb_relative_information_score: 14.9243, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.6413, root_relative_squared_error: 1.3032, scimark_benchmark: 1550.5749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6768, kappa: 0.3456, kb_relative_information_score: 42.1017, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7477, predictive_accuracy: 0.7103, prior_entropy: 0.978, recall: 0.7103, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0939, scimark_benchmark: 1652.9162, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.795, kappa: 0.5783, kb_relative_information_score: 60.9169, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7962, predictive_accuracy: 0.7944, prior_entropy: 0.978, recall: 0.7944, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9215, scimark_benchmark: 1365.7113, usercpu_time_millis: 5150, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8418, kappa: 0.6752, kb_relative_information_score: 71.3697, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8438, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8101, scimark_benchmark: 1548.636, usercpu_time_millis: 2760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8696, kappa: 0.7316, kb_relative_information_score: 74.4036, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8706, predictive_accuracy: 0.8692, prior_entropy: 0.978, recall: 0.8692, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6604, scimark_benchmark: 1665.974, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8885, kappa: 0.7715, kb_relative_information_score: 78.8443, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8915, predictive_accuracy: 0.8879, prior_entropy: 0.978, recall: 0.8879, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6488, scimark_benchmark: 1347.2428, usercpu_time_millis: 3340, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8699, kappa: 0.7335, kb_relative_information_score: 68.8793, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.873, predictive_accuracy: 0.8692, prior_entropy: 0.978, recall: 0.8692, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.676, scimark_benchmark: 1362.6651, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.8214, kappa: 0.6295, kb_relative_information_score: 67.1886, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8216, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8564, scimark_benchmark: 1392.8616, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8966, kappa: 0.7855, kb_relative_information_score: 79.6994, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8974, predictive_accuracy: 0.8972, prior_entropy: 0.978, recall: 0.8972, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6281, scimark_benchmark: 1270.3562, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8052, kappa: 0.6042, kb_relative_information_score: 64.0351, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8135, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8742, scimark_benchmark: 1278.0676, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8041, kappa: 0.5961, kb_relative_information_score: 62.027, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8914, scimark_benchmark: 1295.3607, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8513, kappa: 0.6954, kb_relative_information_score: 68.06, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8545, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7262, scimark_benchmark: 1201.658, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.8331, kappa: 0.6619, kb_relative_information_score: 57.5287, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8437, predictive_accuracy: 0.8318, prior_entropy: 0.978, recall: 0.8318, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7591, scimark_benchmark: 1015.2071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8041, kappa: 0.5961, kb_relative_information_score: 63.0074, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9003, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4364, kb_relative_information_score: -0.0494, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0007, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7461, kappa: 0.4735, kb_relative_information_score: 29.233, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7458, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8335, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8515, kappa: 0.6974, kb_relative_information_score: 68.9361, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8579, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6911, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.759, kappa: 0.4986, kb_relative_information_score: 42.9808, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7696, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8956, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8699, kappa: 0.7335, kb_relative_information_score: 68.8793, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.873, predictive_accuracy: 0.8692, prior_entropy: 0.978, recall: 0.8692, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.676, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.8034, kappa: 0.5933, kb_relative_information_score: 63.0074, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8032, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9003, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8041, kappa: 0.5961, kb_relative_information_score: 63.0074, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9003, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8874, kappa: 0.7668, kb_relative_information_score: 78.2448, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8876, predictive_accuracy: 0.8879, prior_entropy: 0.978, recall: 0.8879, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6551, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8052, kappa: 0.6042, kb_relative_information_score: 64.0351, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8135, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8742, 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: 0.8088, f_measure: 0.8041, kappa: 0.5961, kb_relative_information_score: 62.027, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8914, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8513, kappa: 0.6954, kb_relative_information_score: 68.06, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8545, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7262, 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: 0.8418, f_measure: 0.8421, kappa: 0.6774, kb_relative_information_score: 58.0885, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8468, predictive_accuracy: 0.8411, prior_entropy: 0.978, recall: 0.8411, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7379, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4364, kb_relative_information_score: -0.0494, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0007, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7449, kappa: 0.4698, kb_relative_information_score: 29.1011, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7455, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8325, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8515, kappa: 0.6974, kb_relative_information_score: 68.9361, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8579, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6911, 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: 0.7495, f_measure: 0.759, kappa: 0.4986, kb_relative_information_score: 42.9808, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7696, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8956, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8052, kappa: 0.6042, kb_relative_information_score: 64.0351, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8135, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8742, scimark_benchmark: 1370.9452, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8141, kappa: 0.6192, kb_relative_information_score: 53.5319, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8174, predictive_accuracy: 0.8131, prior_entropy: 0.978, recall: 0.8131, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8046, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8673, kappa: 0.7241, kb_relative_information_score: 71.9995, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8714, predictive_accuracy: 0.8692, prior_entropy: 0.978, recall: 0.8692, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.66, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8505, kappa: 0.6912, kb_relative_information_score: 69.931, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8505, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7235, 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: 0.8994, f_measure: 0.8505, kappa: 0.6912, kb_relative_information_score: 69.931, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8505, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7235, 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: 0.8808, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 65.4189, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7083, 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: 0.8276, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 63.1339, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7104, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7548, kappa: 0.4913, kb_relative_information_score: 51.906, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7781, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9634, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7376, kappa: 0.4546, kb_relative_information_score: 32.6144, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7522, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.886, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7462, kappa: 0.4729, kb_relative_information_score: 52.5546, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7648, predictive_accuracy: 0.757, prior_entropy: 0.978, recall: 0.757, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0018, 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: 0.8115, f_measure: 0.8214, kappa: 0.6295, kb_relative_information_score: 67.1886, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8216, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8564, scimark_benchmark: 896.3013, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7462, kappa: 0.4729, kb_relative_information_score: 52.5546, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7648, predictive_accuracy: 0.757, prior_entropy: 0.978, recall: 0.757, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0018, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.8214, kappa: 0.6295, kb_relative_information_score: 67.1886, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8216, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8564, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7504, kappa: 0.4804, kb_relative_information_score: 45.561, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7581, predictive_accuracy: 0.757, prior_entropy: 0.978, recall: 0.757, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7863, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8607, kappa: 0.7154, kb_relative_information_score: 68.6287, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8653, predictive_accuracy: 0.8598, prior_entropy: 0.978, recall: 0.8598, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6813, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7608, kappa: 0.5021, kb_relative_information_score: 45.8115, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.767, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7856, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8515, kappa: 0.6974, kb_relative_information_score: 68.6949, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8579, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6973, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7325, kappa: 0.4467, kb_relative_information_score: 14.0047, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7619, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9091, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7398, kappa: 0.4585, kb_relative_information_score: 19.3702, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7491, predictive_accuracy: 0.7477, prior_entropy: 0.978, recall: 0.7477, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8744, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4364, kb_relative_information_score: -0.0494, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0007, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4364, kb_relative_information_score: -0.0494, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.3467, predictive_accuracy: 0.5888, prior_entropy: 0.978, recall: 0.5888, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0007, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8509, kappa: 0.6933, kb_relative_information_score: 69.3434, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.852, predictive_accuracy: 0.8505, prior_entropy: 0.978, recall: 0.8505, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7866, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8041, kappa: 0.5961, kb_relative_information_score: 62.027, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8914, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8232, kappa: 0.637, kb_relative_information_score: 58.7936, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8253, predictive_accuracy: 0.8224, prior_entropy: 0.978, recall: 0.8224, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8025, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.759, kappa: 0.4986, kb_relative_information_score: 42.9808, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7696, predictive_accuracy: 0.7664, prior_entropy: 0.978, recall: 0.7664, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8956, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8331, kappa: 0.6619, kb_relative_information_score: 56.3883, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8437, predictive_accuracy: 0.8318, prior_entropy: 0.978, recall: 0.8318, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7389, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8053, kappa: 0.6068, kb_relative_information_score: 60.7892, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.8182, predictive_accuracy: 0.8037, prior_entropy: 0.978, recall: 0.8037, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7809, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7775, kappa: 0.5521, kb_relative_information_score: 51.2124, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4845, number_of_instances: 107, precision: 0.7928, predictive_accuracy: 0.7757, prior_entropy: 0.978, recall: 0.7757, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4921, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8702, scimark_benchmark: 1840.6094,

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