Task
Supervised Classification on vote

Supervised Classification on vote

Task 55 Supervised Classification vote 939 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 285.874, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9494, kappa: 0.8933, kb_relative_information_score: 380.0843, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9357, kappa: 0.8645, kb_relative_information_score: 374.4602, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9358, predictive_accuracy: 0.9356, prior_entropy: 0.9627, recall: 0.9356, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 376.8651, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9402, kappa: 0.8739, kb_relative_information_score: 378.7733, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9358, kappa: 0.8651, kb_relative_information_score: 360.423, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9364, predictive_accuracy: 0.9356, prior_entropy: 0.9627, recall: 0.9356, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 378.7056, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8995, kappa: 0.7899, kb_relative_information_score: 337.991, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 0.9627, recall: 0.8989, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9402, kappa: 0.8739, kb_relative_information_score: 378.7733, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9473, kappa: 0.8891, kb_relative_information_score: 373.3358, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9477, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 368.1199, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9679, kappa: 0.9323, kb_relative_information_score: 377.1662, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.9627, recall: 0.9678, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9495, kappa: 0.8938, kb_relative_information_score: 364.8513, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9609, kappa: 0.9173, kb_relative_information_score: 399.9725, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 386.8109, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9588, kappa: 0.9135, kb_relative_information_score: 373.7178, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9596, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9519, kappa: 0.8987, kb_relative_information_score: 365.54, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 368.3278, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 365.1305, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9403, kappa: 0.8742, kb_relative_information_score: 372.5184, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9406, kappa: 0.8758, kb_relative_information_score: 369.8019, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.943, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9541, kappa: 0.9034, kb_relative_information_score: 392.3075, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9544, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 381.1947, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9609, kappa: 0.9177, kb_relative_information_score: 360.8103, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 383.7795, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.6384, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9293, kappa: 0.8525, kb_relative_information_score: 358.8833, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9327, predictive_accuracy: 0.9287, prior_entropy: 0.9627, recall: 0.9287, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9564, kappa: 0.9084, kb_relative_information_score: 391.997, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.961, kappa: 0.9178, kb_relative_information_score: 381.5108, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9426, kappa: 0.8792, kb_relative_information_score: 315.1193, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9428, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4669, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9496, kappa: 0.8943, kb_relative_information_score: 371.0948, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9505, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9405, kappa: 0.8753, kb_relative_information_score: 363.1806, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9418, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9587, kappa: 0.9129, kb_relative_information_score: 384.066, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.167, root_relative_squared_error: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9041, kappa: 0.7994, kb_relative_information_score: 341.391, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9066, predictive_accuracy: 0.9034, prior_entropy: 0.9627, recall: 0.9034, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9337, kappa: 0.8611, kb_relative_information_score: 367.3184, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9353, predictive_accuracy: 0.9333, prior_entropy: 0.9627, recall: 0.9333, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.954, kappa: 0.903, kb_relative_information_score: 395.6145, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9632, kappa: 0.9222, kb_relative_information_score: 385.7121, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9041, kappa: 0.7994, kb_relative_information_score: 341.391, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9066, predictive_accuracy: 0.9034, prior_entropy: 0.9627, recall: 0.9034, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8995, kappa: 0.7899, kb_relative_information_score: 341.9921, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 0.9627, recall: 0.8989, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 376.8379, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.3665, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9517, kappa: 0.8981, kb_relative_information_score: 387.5569, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4487, scimark_benchmark: 1918.4916, usercpu_time_millis: 1468.75, usercpu_time_millis_training: 1468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9472, kappa: 0.8886, kb_relative_information_score: 379.2974, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9472, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4535, scimark_benchmark: 1931.8468, usercpu_time_millis: 1406.25, usercpu_time_millis_training: 1406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1670.334, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1742.8208, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9495, kappa: 0.8938, kb_relative_information_score: 387.3994, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4619, scimark_benchmark: 1742.8208, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 1377.4309, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9518, kappa: 0.8983, kb_relative_information_score: 387.7181, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4348, scimark_benchmark: 1416.417, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.3665, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6112, scimark_benchmark: 1346.6051, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.961, kappa: 0.9178, kb_relative_information_score: 398.1822, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.406, scimark_benchmark: 1238.4398, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, 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: 0.958, f_measure: 0.9494, kappa: 0.8933, kb_relative_information_score: 380.2366, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4505, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9562, kappa: 0.9076, kb_relative_information_score: 387.3734, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3767, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9222, kappa: 0.8369, kb_relative_information_score: 365.4982, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9236, predictive_accuracy: 0.9218, prior_entropy: 0.9627, recall: 0.9218, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5012, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 396.5906, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3732, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9588, kappa: 0.9135, kb_relative_information_score: 376.2184, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9596, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4039, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.947, kappa: 0.8879, kb_relative_information_score: 368.1595, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4158, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 374.7168, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.363, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 365.1305, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.411, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 342.3665, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6112, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9518, kappa: 0.8983, kb_relative_information_score: 382.3919, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4446, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9562, kappa: 0.9076, kb_relative_information_score: 387.3734, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3767, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9222, kappa: 0.8369, kb_relative_information_score: 365.4982, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9236, predictive_accuracy: 0.9218, prior_entropy: 0.9627, recall: 0.9218, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5012, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 396.5906, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3732, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9588, kappa: 0.9135, kb_relative_information_score: 376.2184, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9596, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4039, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.947, kappa: 0.8879, kb_relative_information_score: 368.1595, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4158, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 376.3942, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3574, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 365.1305, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.411, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9655, kappa: 0.9272, kb_relative_information_score: 396.5906, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3732, 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: 0.9601, f_measure: 0.9495, kappa: 0.8936, kb_relative_information_score: 381.8489, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4452, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 385.5491, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4017, 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: 0.9478, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 364.3375, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9526, predictive_accuracy: 0.9517, prior_entropy: 0.9627, recall: 0.9517, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4371, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 370.7276, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4063, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9563, kappa: 0.908, kb_relative_information_score: 381.8872, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3889, 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: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 968.0914, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 368.3278, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4155, scimark_benchmark: 860.6853, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9449, kappa: 0.8839, kb_relative_information_score: 381.1675, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.945, predictive_accuracy: 0.9448, prior_entropy: 0.9627, recall: 0.9448, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3919, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9268, kappa: 0.8465, kb_relative_information_score: 359.3428, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9282, predictive_accuracy: 0.9264, prior_entropy: 0.9627, recall: 0.9264, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4869, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9403, kappa: 0.8742, kb_relative_information_score: 367.8301, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.426, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9202, kappa: 0.8338, kb_relative_information_score: 351.0693, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9244, predictive_accuracy: 0.9195, prior_entropy: 0.9627, recall: 0.9195, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4786, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9404, kappa: 0.8745, kb_relative_information_score: 372.8289, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9627, recall: 0.9402, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4154, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9293, kappa: 0.8525, kb_relative_information_score: 358.4893, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9327, predictive_accuracy: 0.9287, prior_entropy: 0.9627, recall: 0.9287, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4678, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9542, kappa: 0.9041, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9555, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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