Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18740 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

18740 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.618, kappa: 0.4949, kb_relative_information_score: 2717.5171, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6128, predictive_accuracy: 0.6308, prior_entropy: 2.3005, recall: 0.6308, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.5427, kappa: 0.3942, kb_relative_information_score: 2005.6305, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5522, predictive_accuracy: 0.5768, prior_entropy: 2.3005, recall: 0.5768, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.559, kappa: 0.4166, kb_relative_information_score: 216.8246, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5644, predictive_accuracy: 0.586, prior_entropy: 2.3005, recall: 0.586, relative_absolute_error: 1.0991, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.5743, kappa: 0.4368, kb_relative_information_score: 2198.2165, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.577, predictive_accuracy: 0.6005, prior_entropy: 2.3005, recall: 0.6005, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5977, kappa: 0.4683, kb_relative_information_score: 2457.0789, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5945, predictive_accuracy: 0.6167, prior_entropy: 2.3005, recall: 0.6167, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.5412, kappa: 0.3919, kb_relative_information_score: 709.0977, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5466, predictive_accuracy: 0.5647, prior_entropy: 2.3005, recall: 0.5647, relative_absolute_error: 1.0265, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6083, kappa: 0.481, kb_relative_information_score: 207.4242, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6033, predictive_accuracy: 0.6183, prior_entropy: 2.3005, recall: 0.6183, relative_absolute_error: 1.1025, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.6143, kappa: 0.4879, kb_relative_information_score: 3059.8897, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6126, predictive_accuracy: 0.6244, prior_entropy: 2.3005, recall: 0.6244, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.31, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, kappa: 0.1618, kb_relative_information_score: 181.2104, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4699, prior_entropy: 2.3005, recall: 0.4699, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.372, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.5923, kappa: 0.4604, kb_relative_information_score: 218.7264, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5896, predictive_accuracy: 0.609, prior_entropy: 2.3005, recall: 0.609, relative_absolute_error: 1.0995, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3699, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.4058, kappa: 0.2155, kb_relative_information_score: 183.6763, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4757, predictive_accuracy: 0.4948, prior_entropy: 2.3005, recall: 0.4948, relative_absolute_error: 1.1055, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.4235, kappa: 0.2259, kb_relative_information_score: 209.68, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.445, predictive_accuracy: 0.4843, prior_entropy: 2.3005, recall: 0.4843, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.0454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.4343, kappa: 0.2507, kb_relative_information_score: 189.0508, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4314, predictive_accuracy: 0.4446, prior_entropy: 2.3005, recall: 0.4446, relative_absolute_error: 1.1053, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6128, kappa: 0.4867, kb_relative_information_score: 3072.2238, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6112, predictive_accuracy: 0.6255, prior_entropy: 2.3005, recall: 0.6255, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.5713, kappa: 0.4326, kb_relative_information_score: 2211.1532, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5735, predictive_accuracy: 0.5974, prior_entropy: 2.3005, recall: 0.5974, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.5511, kappa: 0.4071, kb_relative_information_score: 195.6306, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.564, predictive_accuracy: 0.5807, prior_entropy: 2.3005, recall: 0.5807, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.5992, kappa: 0.4684, kb_relative_information_score: 1698.4036, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6027, predictive_accuracy: 0.6134, prior_entropy: 2.3005, recall: 0.6134, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5815, kappa: 0.4464, kb_relative_information_score: 211.5115, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5808, predictive_accuracy: 0.6015, prior_entropy: 2.3005, recall: 0.6015, relative_absolute_error: 1.1007, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.0459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.5879, kappa: 0.4543, kb_relative_information_score: 2542.5846, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5818, predictive_accuracy: 0.6015, prior_entropy: 2.3005, recall: 0.6015, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.5956, kappa: 0.4649, kb_relative_information_score: 2420.8153, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.593, predictive_accuracy: 0.6149, prior_entropy: 2.3005, recall: 0.6149, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6049, kappa: 0.4777, kb_relative_information_score: 2613.9575, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6009, predictive_accuracy: 0.6221, prior_entropy: 2.3005, recall: 0.6221, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.5511, kappa: 0.4074, kb_relative_information_score: 2046.5909, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5589, predictive_accuracy: 0.5842, prior_entropy: 2.3005, recall: 0.5842, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5623, kappa: 0.4213, kb_relative_information_score: 2112.5338, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.566, predictive_accuracy: 0.5914, prior_entropy: 2.3005, recall: 0.5914, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6145, kappa: 0.4903, kb_relative_information_score: 2617.5647, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6093, predictive_accuracy: 0.6285, prior_entropy: 2.3005, recall: 0.6285, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.4169, kappa: 0.2184, kb_relative_information_score: 369.8018, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4723, predictive_accuracy: 0.493, prior_entropy: 2.3005, recall: 0.493, relative_absolute_error: 1.0657, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3597, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.4514, kappa: 0.2776, kb_relative_information_score: 187.0525, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4815, predictive_accuracy: 0.5173, prior_entropy: 2.3005, recall: 0.5173, relative_absolute_error: 1.1049, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.6087, kappa: 0.4809, kb_relative_information_score: 191.1398, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6057, predictive_accuracy: 0.6185, prior_entropy: 2.3005, recall: 0.6185, relative_absolute_error: 1.1052, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.5476, kappa: 0.3989, kb_relative_information_score: 179.85, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5576, predictive_accuracy: 0.5628, prior_entropy: 2.3005, recall: 0.5628, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.6165, kappa: 0.4919, kb_relative_information_score: 2770.9929, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6118, predictive_accuracy: 0.6277, prior_entropy: 2.3005, recall: 0.6277, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, kappa: 0.1325, kb_relative_information_score: 176.7069, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4519, prior_entropy: 2.3005, recall: 0.4519, relative_absolute_error: 1.107, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.5673, kappa: 0.4279, kb_relative_information_score: 2133.0261, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5702, predictive_accuracy: 0.5948, prior_entropy: 2.3005, recall: 0.5948, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.6179, kappa: 0.4946, kb_relative_information_score: 2594.8711, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6139, predictive_accuracy: 0.6331, prior_entropy: 2.3005, recall: 0.6331, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.5683, kappa: 0.4295, kb_relative_information_score: 2189.6089, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5684, predictive_accuracy: 0.5948, prior_entropy: 2.3005, recall: 0.5948, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.4885, kappa: 0.3195, kb_relative_information_score: 177.5506, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4825, predictive_accuracy: 0.51, prior_entropy: 2.3005, recall: 0.51, relative_absolute_error: 1.1072, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.5563, kappa: 0.4139, kb_relative_information_score: 2055.449, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5621, predictive_accuracy: 0.5873, prior_entropy: 2.3005, recall: 0.5873, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.5979, kappa: 0.4668, kb_relative_information_score: 2900.294, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5967, predictive_accuracy: 0.6126, prior_entropy: 2.3005, recall: 0.6126, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.5758, kappa: 0.439, kb_relative_information_score: 2196.8813, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5776, predictive_accuracy: 0.6013, prior_entropy: 2.3005, recall: 0.6013, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.5965, kappa: 0.4666, kb_relative_information_score: 2428.167, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.595, predictive_accuracy: 0.6174, prior_entropy: 2.3005, recall: 0.6174, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.5978, kappa: 0.468, kb_relative_information_score: 2429.6933, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5947, predictive_accuracy: 0.6174, prior_entropy: 2.3005, recall: 0.6174, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3658, kappa: 0.1514, kb_relative_information_score: 428.229, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4377, predictive_accuracy: 0.4737, prior_entropy: 2.3005, recall: 0.4737, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.5592, kappa: 0.4165, kb_relative_information_score: 2113.2589, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5624, predictive_accuracy: 0.5871, prior_entropy: 2.3005, recall: 0.5871, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.6106, kappa: 0.4838, kb_relative_information_score: 3095.8697, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6073, predictive_accuracy: 0.6218, prior_entropy: 2.3005, recall: 0.6218, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.6115, kappa: 0.4847, kb_relative_information_score: 3010.783, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6088, predictive_accuracy: 0.6223, prior_entropy: 2.3005, recall: 0.6223, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.5999, kappa: 0.4711, kb_relative_information_score: 2476.0808, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5954, predictive_accuracy: 0.617, prior_entropy: 2.3005, recall: 0.617, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5743, kappa: 0.4377, kb_relative_information_score: 2209.082, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5753, predictive_accuracy: 0.6002, prior_entropy: 2.3005, recall: 0.6002, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, kappa: 0.0669, kb_relative_information_score: 177.6252, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4374, prior_entropy: 2.3005, recall: 0.4374, relative_absolute_error: 1.1063, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.5857, kappa: 0.4521, kb_relative_information_score: 2327.0522, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5851, predictive_accuracy: 0.6089, prior_entropy: 2.3005, recall: 0.6089, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5815, kappa: 0.4464, kb_relative_information_score: 2269.8471, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5795, predictive_accuracy: 0.6036, prior_entropy: 2.3005, recall: 0.6036, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.5953, kappa: 0.4651, kb_relative_information_score: 2394.6183, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5932, predictive_accuracy: 0.6157, prior_entropy: 2.3005, recall: 0.6157, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.6037, kappa: 0.4755, kb_relative_information_score: 2634.1105, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5981, predictive_accuracy: 0.6175, prior_entropy: 2.3005, recall: 0.6175, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.5195, kappa: 0.3638, kb_relative_information_score: 177.7989, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5389, predictive_accuracy: 0.5471, prior_entropy: 2.3005, recall: 0.5471, relative_absolute_error: 1.1072, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.5828, kappa: 0.4483, kb_relative_information_score: 2263.587, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5833, predictive_accuracy: 0.6069, prior_entropy: 2.3005, recall: 0.6069, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.6054, kappa: 0.4782, kb_relative_information_score: 2580.9614, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6002, predictive_accuracy: 0.6201, prior_entropy: 2.3005, recall: 0.6201, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.5982, kappa: 0.4684, kb_relative_information_score: 2428.0911, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5962, predictive_accuracy: 0.618, prior_entropy: 2.3005, recall: 0.618, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.604, kappa: 0.4762, kb_relative_information_score: 2480.0543, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6009, predictive_accuracy: 0.6221, prior_entropy: 2.3005, recall: 0.6221, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, kappa: 0.1836, kb_relative_information_score: 185.3007, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.484, prior_entropy: 2.3005, recall: 0.484, relative_absolute_error: 1.1048, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.578, kappa: 0.4416, kb_relative_information_score: 2242.553, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5793, predictive_accuracy: 0.6028, prior_entropy: 2.3005, recall: 0.6028, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.4995, kappa: 0.3336, kb_relative_information_score: 333.8794, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4979, predictive_accuracy: 0.5077, prior_entropy: 2.3005, recall: 0.5077, relative_absolute_error: 1.085, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.6123, kappa: 0.4856, kb_relative_information_score: 2910.8063, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6118, predictive_accuracy: 0.625, prior_entropy: 2.3005, recall: 0.625, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.5854, kappa: 0.448, kb_relative_information_score: 187.3457, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.587, predictive_accuracy: 0.585, prior_entropy: 2.3005, recall: 0.585, relative_absolute_error: 1.1059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.566, kappa: 0.4261, kb_relative_information_score: 2187.4745, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5674, predictive_accuracy: 0.5928, prior_entropy: 2.3005, recall: 0.5928, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5139, kappa: 0.3551, kb_relative_information_score: 182.3614, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5276, predictive_accuracy: 0.5427, prior_entropy: 2.3005, recall: 0.5427, relative_absolute_error: 1.1063, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.5808, kappa: 0.4458, kb_relative_information_score: 2250.8166, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5801, predictive_accuracy: 0.6044, prior_entropy: 2.3005, recall: 0.6044, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, kappa: 0.08, kb_relative_information_score: 228.7026, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4449, prior_entropy: 2.3005, recall: 0.4449, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3669, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6077, kappa: 0.4813, kb_relative_information_score: 2609.3266, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6037, predictive_accuracy: 0.6242, prior_entropy: 2.3005, recall: 0.6242, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.6082, kappa: 0.4804, kb_relative_information_score: 3053.8876, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6061, predictive_accuracy: 0.6205, prior_entropy: 2.3005, recall: 0.6205, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.5933, kappa: 0.4622, kb_relative_information_score: 2428.6821, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5905, predictive_accuracy: 0.6134, prior_entropy: 2.3005, recall: 0.6134, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.6009, kappa: 0.4713, kb_relative_information_score: 1690.9104, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6035, predictive_accuracy: 0.6157, prior_entropy: 2.3005, recall: 0.6157, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.537, kappa: 0.3864, kb_relative_information_score: 769.5497, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5462, predictive_accuracy: 0.5659, prior_entropy: 2.3005, recall: 0.5659, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.5613, kappa: 0.4202, kb_relative_information_score: 2067.7694, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5669, predictive_accuracy: 0.591, prior_entropy: 2.3005, recall: 0.591, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.6205, kappa: 0.4973, kb_relative_information_score: 2794.8207, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6156, predictive_accuracy: 0.6308, prior_entropy: 2.3005, recall: 0.6308, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5607, kappa: 0.4189, kb_relative_information_score: 192.0245, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5685, predictive_accuracy: 0.584, prior_entropy: 2.3005, recall: 0.584, relative_absolute_error: 1.1046, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.5377, kappa: 0.3868, kb_relative_information_score: 1970.856, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5492, predictive_accuracy: 0.5732, prior_entropy: 2.3005, recall: 0.5732, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.3933, kappa: 0.203, kb_relative_information_score: 179.1788, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4817, predictive_accuracy: 0.482, prior_entropy: 2.3005, recall: 0.482, relative_absolute_error: 1.1065, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5998, kappa: 0.4711, kb_relative_information_score: 2454.9331, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5973, predictive_accuracy: 0.6193, prior_entropy: 2.3005, recall: 0.6193, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.5913, kappa: 0.4596, kb_relative_information_score: 2390.2039, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5894, predictive_accuracy: 0.6128, prior_entropy: 2.3005, recall: 0.6128, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.5784, kappa: 0.4417, kb_relative_information_score: 212.248, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5804, predictive_accuracy: 0.5997, prior_entropy: 2.3005, recall: 0.5997, relative_absolute_error: 1.1004, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.4473, kappa: 0.2628, kb_relative_information_score: 340.7435, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4778, predictive_accuracy: 0.5062, prior_entropy: 2.3005, recall: 0.5062, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.4136, kappa: 0.2253, kb_relative_information_score: 183.2902, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4626, predictive_accuracy: 0.4979, prior_entropy: 2.3005, recall: 0.4979, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.372, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.5845, kappa: 0.4501, kb_relative_information_score: 2341.3999, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5822, predictive_accuracy: 0.6056, prior_entropy: 2.3005, recall: 0.6056, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.5725, kappa: 0.4347, kb_relative_information_score: 2222.7442, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5737, predictive_accuracy: 0.5981, prior_entropy: 2.3005, recall: 0.5981, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, kappa: 0.0571, kb_relative_information_score: 590.7884, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4377, prior_entropy: 2.3005, recall: 0.4377, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.4368, kappa: 0.2518, kb_relative_information_score: 190.731, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4795, predictive_accuracy: 0.5092, prior_entropy: 2.3005, recall: 0.5092, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.4225, kappa: 0.2368, kb_relative_information_score: 177.6507, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.452, predictive_accuracy: 0.4694, prior_entropy: 2.3005, recall: 0.4694, relative_absolute_error: 1.1071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.6066, kappa: 0.4795, kb_relative_information_score: 2466.5603, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6038, predictive_accuracy: 0.6244, prior_entropy: 2.3005, recall: 0.6244, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.5761, kappa: 0.4386, kb_relative_information_score: 2279.9813, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5739, predictive_accuracy: 0.5984, prior_entropy: 2.3005, recall: 0.5984, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.5358, kappa: 0.3849, kb_relative_information_score: 1938.4674, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.547, predictive_accuracy: 0.5721, prior_entropy: 2.3005, recall: 0.5721, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.305, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.5543, kappa: 0.41, kb_relative_information_score: 2067.9112, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5613, predictive_accuracy: 0.585, prior_entropy: 2.3005, recall: 0.585, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.5337, kappa: 0.3835, kb_relative_information_score: 1911.1764, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5462, predictive_accuracy: 0.5718, prior_entropy: 2.3005, recall: 0.5718, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.6025, kappa: 0.4722, kb_relative_information_score: 3024.9309, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6008, predictive_accuracy: 0.6154, prior_entropy: 2.3005, recall: 0.6154, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.5652, kappa: 0.4244, kb_relative_information_score: 2148.3537, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5691, predictive_accuracy: 0.5932, prior_entropy: 2.3005, recall: 0.5932, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.4918, kappa: 0.3285, kb_relative_information_score: 178.7898, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5153, predictive_accuracy: 0.5347, prior_entropy: 2.3005, recall: 0.5347, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.6083, kappa: 0.48, kb_relative_information_score: 210.7408, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6046, predictive_accuracy: 0.6162, prior_entropy: 2.3005, recall: 0.6162, relative_absolute_error: 1.1023, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.5282, kappa: 0.3722, kb_relative_information_score: 178.4157, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.531, predictive_accuracy: 0.5351, prior_entropy: 2.3005, recall: 0.5351, relative_absolute_error: 1.1071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.6102, kappa: 0.4831, kb_relative_information_score: 3012.8108, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6069, predictive_accuracy: 0.6198, prior_entropy: 2.3005, recall: 0.6198, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.5944, kappa: 0.4619, kb_relative_information_score: 2759.3826, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5894, predictive_accuracy: 0.602, prior_entropy: 2.3005, recall: 0.602, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.5972, kappa: 0.4676, kb_relative_information_score: 2427.3389, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5937, predictive_accuracy: 0.6164, prior_entropy: 2.3005, recall: 0.6164, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.5904, kappa: 0.4548, kb_relative_information_score: 187.5016, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.591, predictive_accuracy: 0.5922, prior_entropy: 2.3005, recall: 0.5922, relative_absolute_error: 1.1058, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.372, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.5722, kappa: 0.4342, kb_relative_information_score: 2220.0324, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5726, predictive_accuracy: 0.5973, prior_entropy: 2.3005, recall: 0.5973, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.5993, kappa: 0.4691, kb_relative_information_score: 2557.0088, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6003, predictive_accuracy: 0.6149, prior_entropy: 2.3005, recall: 0.6149, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.845,

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