Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
1 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -767.5316, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.1532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -155.916, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0817, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.34, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, kb_relative_information_score: -739.356, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4411, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3861, root_relative_squared_error: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: -113.7177, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -756.5262, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4488, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3882, root_relative_squared_error: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, kb_relative_information_score: -576.0435, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.3372, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3639, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: -757.3902, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4539, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -689.7966, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.3952, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.1167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, kb_relative_information_score: 46.8117, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -92.18, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0473, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -175.5482, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0869, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -569.7987, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.3128, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3634, root_relative_squared_error: 1.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, kb_relative_information_score: -663.527, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4053, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.1154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -754.9872, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4488, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -590.9852, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.3263, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -765.4848, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, kappa: 0.4698, kb_relative_information_score: 467.8507, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7946, prior_entropy: 1.2099, recall: 0.7946, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -95.28, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3393, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -781.237, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.471, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3928, root_relative_squared_error: 1.1618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, kb_relative_information_score: -765.377, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4562, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.1526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -758.375, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4434, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: -34.4193, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0397, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.339, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, kb_relative_information_score: 67.7597, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3396, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -270.2295, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.1437, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3438, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, kb_relative_information_score: -772.2234, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4621, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9222, kappa: 0.8309, kb_relative_information_score: 1326.902, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, kb_relative_information_score: 52.674, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -658.7039, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.373, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 24.0251, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -767.0605, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4568, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: -761.2189, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4536, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, kb_relative_information_score: -730.8307, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4362, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3849, root_relative_squared_error: 1.1384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, kb_relative_information_score: 60.0498, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 17.288, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -609.0934, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.3383, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, kb_relative_information_score: -758.5917, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.4522, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3887, root_relative_squared_error: 1.1497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -475.5957, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2593, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.356, root_relative_squared_error: 1.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7473, kappa: 0.4604, kb_relative_information_score: 725.5437, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7161, predictive_accuracy: 0.783, prior_entropy: 1.2099, recall: 0.783, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1639.5352, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 1639.5352, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, kappa: 0.6808, kb_relative_information_score: 1066.7644, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.229, number_of_instances: 1728, predictive_accuracy: 0.8455, prior_entropy: 1.2099, recall: 0.8455, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9606, kappa: 0.9142, kb_relative_information_score: 1598.0107, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1538.5276, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9496, kappa: 0.89, kb_relative_information_score: 1538.7111, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9504, predictive_accuracy: 0.9491, prior_entropy: 1.2099, recall: 0.9491, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.8397, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.2254, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.946, kappa: 0.8822, kb_relative_information_score: 1529.3679, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9466, predictive_accuracy: 0.9456, prior_entropy: 1.2099, recall: 0.9456, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1538.1309, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.5234, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1482.7646, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.145, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9408, kappa: 0.8707, kb_relative_information_score: 1498.7211, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9413, predictive_accuracy: 0.9404, prior_entropy: 1.2099, recall: 0.9404, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9575, kappa: 0.9072, kb_relative_information_score: 1568.545, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.2099, recall: 0.9572, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 1400.3314, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9161, predictive_accuracy: 0.9132, prior_entropy: 1.2099, recall: 0.9132, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9274, kappa: 0.8424, kb_relative_information_score: 1436.1693, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9294, predictive_accuracy: 0.9265, prior_entropy: 1.2099, recall: 0.9265, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1561.6129, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9479, kappa: 0.8862, kb_relative_information_score: 1539.4259, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9486, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9421, kappa: 0.8737, kb_relative_information_score: 1502.5581, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9429, predictive_accuracy: 0.9416, prior_entropy: 1.2099, recall: 0.9416, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9497, kappa: 0.8903, kb_relative_information_score: 1559.641, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9499, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9374, kappa: 0.8631, kb_relative_information_score: 1479.1048, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9406, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9387, kappa: 0.8657, kb_relative_information_score: 1481.2173, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9337, kappa: 0.8557, kb_relative_information_score: 1457.1984, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9353, predictive_accuracy: 0.9329, prior_entropy: 1.2099, recall: 0.9329, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9376, kappa: 0.8629, kb_relative_information_score: 1483.8793, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9358, prior_entropy: 1.2099, recall: 0.9358, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9536, kappa: 0.8987, kb_relative_information_score: 1543.8477, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9555, kappa: 0.9027, kb_relative_information_score: 1545.5299, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9568, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1380.0431, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9554, kappa: 0.9026, kb_relative_information_score: 1559.929, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9564, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9536, kappa: 0.8986, kb_relative_information_score: 1554.2118, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.952, kappa: 0.8953, kb_relative_information_score: 1537.4882, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9531, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9467, kappa: 0.8835, kb_relative_information_score: 1549.3896, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 1.2099, recall: 0.9468, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9536, kappa: 0.8986, kb_relative_information_score: 1554.1102, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9508, kappa: 0.8925, kb_relative_information_score: 1539.3152, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9515, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9112, kappa: 0.8083, kb_relative_information_score: 1379.9371, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9133, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9314, kappa: 0.8507, kb_relative_information_score: 1457.4766, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9369, kappa: 0.862, kb_relative_information_score: 1481.1821, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9401, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9387, kappa: 0.8657, kb_relative_information_score: 1480.876, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9369, prior_entropy: 1.2099, recall: 0.9369, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.914, kappa: 0.8143, kb_relative_information_score: 1403.1487, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9156, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9509, kappa: 0.8935, kb_relative_information_score: 1577.3019, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.951, predictive_accuracy: 0.9514, prior_entropy: 1.2099, recall: 0.9514, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9314, kappa: 0.8507, kb_relative_information_score: 1457.4766, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9383, kappa: 0.8655, kb_relative_information_score: 1486.7547, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9387, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1462.7979, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9413, kappa: 0.8718, kb_relative_information_score: 1512.8265, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9419, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.8902, kb_relative_information_score: 1557.225, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 1.2099, recall: 0.9497, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9536, kappa: 0.8987, kb_relative_information_score: 1543.3847, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9546, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9316, kappa: 0.8511, kb_relative_information_score: 1450.353, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9336, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9172, kappa: 0.821, kb_relative_information_score: 1409.9457, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.919, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9314, kappa: 0.8507, kb_relative_information_score: 1457.4766, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.933, predictive_accuracy: 0.9306, prior_entropy: 1.2099, recall: 0.9306, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9277, kappa: 0.8415, kb_relative_information_score: 1461.5428, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9403, kappa: 0.8684, kb_relative_information_score: 1494.6153, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9426, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9132, kappa: 0.8101, kb_relative_information_score: 1389.6347, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9158, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9128, kappa: 0.8094, kb_relative_information_score: 1388.2074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9149, predictive_accuracy: 0.9115, prior_entropy: 1.2099, recall: 0.9115, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.923, kappa: 0.8316, kb_relative_information_score: 1454.6944, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9236, predictive_accuracy: 0.9225, prior_entropy: 1.2099, recall: 0.9225, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9241, kappa: 0.834, kb_relative_information_score: 1423.2866, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 1.2099, recall: 0.923, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4739,

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