Task
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 3866 Supervised Classification primary-tumor 554 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

554 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8303, kappa: 0.5291, kb_relative_information_score: 134.1412, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8298, predictive_accuracy: 0.8378, prior_entropy: 0.8101, recall: 0.8378, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8303, kappa: 0.5291, kb_relative_information_score: 143.7676, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8298, predictive_accuracy: 0.8378, prior_entropy: 0.8101, recall: 0.8378, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8321, kappa: 0.5371, kb_relative_information_score: 122.953, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8307, predictive_accuracy: 0.8378, prior_entropy: 0.8101, recall: 0.8378, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8453, kappa: 0.57, kb_relative_information_score: 143.1592, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8462, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.8364, kappa: 0.5512, kb_relative_information_score: 119.9811, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8348, predictive_accuracy: 0.8407, prior_entropy: 0.8101, recall: 0.8407, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8122, kappa: 0.4749, kb_relative_information_score: 139.9342, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8124, predictive_accuracy: 0.823, prior_entropy: 0.8101, recall: 0.823, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8334, kappa: 0.5497, kb_relative_information_score: 163.5894, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8323, predictive_accuracy: 0.8348, prior_entropy: 0.8101, recall: 0.8348, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8365, kappa: 0.5462, kb_relative_information_score: 158.5738, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8364, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8304, kappa: 0.5214, kb_relative_information_score: 107.9309, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8381, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.833, kappa: 0.5356, kb_relative_information_score: 126.0263, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.833, predictive_accuracy: 0.8407, prior_entropy: 0.8101, recall: 0.8407, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7625, kappa: 0.3287, kb_relative_information_score: 89.6373, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.761, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8028, kappa: 0.4364, kb_relative_information_score: 139.0228, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8229, predictive_accuracy: 0.826, prior_entropy: 0.8101, recall: 0.826, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.7907, kappa: 0.4479, kb_relative_information_score: 63.1265, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7948, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8462, kappa: 0.5737, kb_relative_information_score: 176.0256, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8462, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8067, kappa: 0.4652, kb_relative_information_score: 117.5782, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8043, predictive_accuracy: 0.8142, prior_entropy: 0.8101, recall: 0.8142, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7846, kappa: 0.3809, kb_relative_information_score: 72.7864, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8216, predictive_accuracy: 0.8171, prior_entropy: 0.8101, recall: 0.8171, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -0.8213, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8316, kappa: 0.5257, kb_relative_information_score: 137.1757, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8373, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.7907, kappa: 0.4479, kb_relative_information_score: 64.1021, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7948, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8177, kappa: 0.4825, kb_relative_information_score: 133.3207, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8295, predictive_accuracy: 0.8348, prior_entropy: 0.8101, recall: 0.8348, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8417, kappa: 0.5642, kb_relative_information_score: 144.8282, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8405, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7822, kappa: 0.3928, kb_relative_information_score: 101.9096, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7792, predictive_accuracy: 0.7935, prior_entropy: 0.8101, recall: 0.7935, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8097, kappa: 0.4685, kb_relative_information_score: 116.2796, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8092, predictive_accuracy: 0.8201, prior_entropy: 0.8101, recall: 0.8201, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.8409, kappa: 0.5604, kb_relative_information_score: 149.7833, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.84, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7872, kappa: 0.4049, kb_relative_information_score: 135.0627, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7851, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8097, kappa: 0.4685, kb_relative_information_score: 116.2796, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8092, predictive_accuracy: 0.8201, prior_entropy: 0.8101, recall: 0.8201, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7831, kappa: 0.4315, kb_relative_information_score: 114.1705, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7892, predictive_accuracy: 0.7788, prior_entropy: 0.8101, recall: 0.7788, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7907, kappa: 0.4479, kb_relative_information_score: 123.1243, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7948, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7908, kappa: 0.4203, kb_relative_information_score: 104.1207, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7877, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8515, kappa: 0.5872, kb_relative_information_score: 133.659, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8528, predictive_accuracy: 0.8584, prior_entropy: 0.8101, recall: 0.8584, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8108, kappa: 0.4731, kb_relative_information_score: 89.0503, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8096, predictive_accuracy: 0.8201, prior_entropy: 0.8101, recall: 0.8201, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8485, kappa: 0.5844, kb_relative_information_score: 147.0151, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8473, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7969, kappa: 0.4487, kb_relative_information_score: 135.0627, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7949, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7744, kappa: 0.3844, kb_relative_information_score: 114.1705, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7713, predictive_accuracy: 0.7788, prior_entropy: 0.8101, recall: 0.7788, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7984, kappa: 0.4386, kb_relative_information_score: 144.0165, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7963, predictive_accuracy: 0.8083, prior_entropy: 0.8101, recall: 0.8083, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7849, kappa: 0.4163, kb_relative_information_score: 123.1243, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7828, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7969, kappa: 0.4487, kb_relative_information_score: 135.0627, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7949, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7744, kappa: 0.3844, kb_relative_information_score: 114.1705, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7713, predictive_accuracy: 0.7788, prior_entropy: 0.8101, recall: 0.7788, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7969, kappa: 0.4487, kb_relative_information_score: 135.0627, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7949, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7744, kappa: 0.3844, kb_relative_information_score: 114.1705, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7713, predictive_accuracy: 0.7788, prior_entropy: 0.8101, recall: 0.7788, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7969, kappa: 0.4487, kb_relative_information_score: 135.0627, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7949, predictive_accuracy: 0.7994, prior_entropy: 0.8101, recall: 0.7994, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7744, kappa: 0.3844, kb_relative_information_score: 114.1705, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7713, predictive_accuracy: 0.7788, prior_entropy: 0.8101, recall: 0.7788, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7984, kappa: 0.4386, kb_relative_information_score: 144.0165, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7963, predictive_accuracy: 0.8083, prior_entropy: 0.8101, recall: 0.8083, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7849, kappa: 0.4163, kb_relative_information_score: 123.1243, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7828, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7804, kappa: 0.4008, kb_relative_information_score: 120.1397, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7775, predictive_accuracy: 0.7847, prior_entropy: 0.8101, recall: 0.7847, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.464, root_relative_squared_error: 1.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7849, kappa: 0.4163, kb_relative_information_score: 123.1243, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7828, predictive_accuracy: 0.7876, prior_entropy: 0.8101, recall: 0.7876, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.773, kappa: 0.3838, kb_relative_information_score: 111.1859, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7707, predictive_accuracy: 0.7758, prior_entropy: 0.8101, recall: 0.7758, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7799, kappa: 0.4049, kb_relative_information_score: 117.1551, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7783, predictive_accuracy: 0.7817, prior_entropy: 0.8101, recall: 0.7817, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7804, kappa: 0.4008, kb_relative_information_score: 120.1397, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7775, predictive_accuracy: 0.7847, prior_entropy: 0.8101, recall: 0.7847, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.464, root_relative_squared_error: 1.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7894, kappa: 0.4192, kb_relative_information_score: 132.0781, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.786, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8459, kappa: 0.5779, kb_relative_information_score: 188.8305, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8444, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.8725, scimark_benchmark: 1922.3298, usercpu_time_millis: 1750, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.6528, kappa: 0.0178, kb_relative_information_score: 90.2938, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8153, predictive_accuracy: 0.7552, prior_entropy: 0.8101, recall: 0.7552, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.1461, scimark_benchmark: 1280.301, 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: 0.7623, f_measure: 0.8409, kappa: 0.5604, kb_relative_information_score: 182.8163, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.84, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9072, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.797, kappa: 0.4184, kb_relative_information_score: 158.9395, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8219, predictive_accuracy: 0.823, prior_entropy: 0.8101, recall: 0.823, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9745, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.6792, kappa: 0.0869, kb_relative_information_score: 102.2321, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8221, predictive_accuracy: 0.767, prior_entropy: 0.8101, recall: 0.767, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.1182, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8519, kappa: 0.5944, kb_relative_information_score: 164.1749, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8507, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.8345, scimark_benchmark: 1862.8608, usercpu_time_millis: 1515.625, usercpu_time_millis_training: 1515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8519, kappa: 0.5944, kb_relative_information_score: 164.1749, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8507, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.8345, scimark_benchmark: 1787.9841, usercpu_time_millis: 1562.5, usercpu_time_millis_training: 1562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8519, kappa: 0.5944, kb_relative_information_score: 164.1749, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8507, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.8345, scimark_benchmark: 1377.2733, usercpu_time_millis: 2030, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.6792, kappa: 0.0869, kb_relative_information_score: 102.2321, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8221, predictive_accuracy: 0.767, prior_entropy: 0.8101, recall: 0.767, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.1182, scimark_benchmark: 1566.9264, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.797, kappa: 0.4184, kb_relative_information_score: 158.9395, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8219, predictive_accuracy: 0.823, prior_entropy: 0.8101, recall: 0.823, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9745, scimark_benchmark: 1367.5072, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.6528, kappa: 0.0178, kb_relative_information_score: 90.2938, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8153, predictive_accuracy: 0.7552, prior_entropy: 0.8101, recall: 0.7552, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.1461, scimark_benchmark: 1358.9517, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8409, kappa: 0.5604, kb_relative_information_score: 182.8163, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.84, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9072, scimark_benchmark: 1544.1384, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8425, kappa: 0.5678, kb_relative_information_score: 183.4897, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.841, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8695, scimark_benchmark: 1665.974, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.8217, kappa: 0.5117, kb_relative_information_score: 163.95, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8196, predictive_accuracy: 0.826, prior_entropy: 0.8101, recall: 0.826, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.8635, scimark_benchmark: 1379.1696, usercpu_time_millis: 1300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8485, kappa: 0.5844, kb_relative_information_score: 147.0151, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8473, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7749, scimark_benchmark: 1465.8259, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8409, kappa: 0.5604, kb_relative_information_score: 182.8163, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.84, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9072, scimark_benchmark: 1190.7324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.85, kappa: 0.5913, kb_relative_information_score: 166.6596, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8486, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8276, scimark_benchmark: 1311.8448, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8504, kappa: 0.5876, kb_relative_information_score: 143.982, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8498, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7867, scimark_benchmark: 1380.7267, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8164, kappa: 0.4928, kb_relative_information_score: 145.5541, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8144, predictive_accuracy: 0.823, prior_entropy: 0.8101, recall: 0.823, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9254, scimark_benchmark: 1287.1153, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8398, kappa: 0.5613, kb_relative_information_score: 161.2453, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8382, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7573, scimark_benchmark: 1202.1874, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.826, kappa: 0.5202, kb_relative_information_score: 116.1266, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8243, predictive_accuracy: 0.8319, prior_entropy: 0.8101, recall: 0.8319, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.374, root_relative_squared_error: 0.8663, scimark_benchmark: 899.2043, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8558, kappa: 0.601, kb_relative_information_score: 197.7393, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.856, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.8625, 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: 0.7935, f_measure: 0.8016, kappa: 0.4529, kb_relative_information_score: 104.3329, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7988, predictive_accuracy: 0.8083, prior_entropy: 0.8101, recall: 0.8083, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.8628, scimark_benchmark: 1925.3565,

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