Task
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

13173 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: 0.6161, f_measure: 0.6711, kappa: 0.2447, kb_relative_information_score: 166.4799, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6673, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6994, kappa: 0.3237, kb_relative_information_score: 194.8066, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6994, predictive_accuracy: 0.6994, prior_entropy: 0.9188, recall: 0.6994, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.6973, kappa: 0.2991, kb_relative_information_score: 225.4939, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7039, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.627, kappa: 0.1656, kb_relative_information_score: 76.7787, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6292, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.6817, kappa: 0.2812, kb_relative_information_score: 168.8404, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6806, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6834, kappa: 0.2854, kb_relative_information_score: 171.201, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6824, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5617, root_relative_squared_error: 1.1915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7281, kappa: 0.3807, kb_relative_information_score: 246.7389, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7259, predictive_accuracy: 0.7321, prior_entropy: 0.9188, recall: 0.7321, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.73, kappa: 0.377, kb_relative_information_score: 263.2628, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7322, predictive_accuracy: 0.7426, prior_entropy: 0.9188, recall: 0.7426, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5394, kappa: 0.0089, kb_relative_information_score: 145.2349, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6677, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7299, kappa: 0.3878, kb_relative_information_score: 246.7389, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7283, predictive_accuracy: 0.7321, prior_entropy: 0.9188, recall: 0.7321, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4163, f_measure: 0.4816, kappa: -0.1678, kb_relative_information_score: -149.835, mean_absolute_error: 0.5179, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.481, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7196, root_relative_squared_error: 1.5265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.6337, kappa: 0.1606, kb_relative_information_score: 178.2827, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6668, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.673, kappa: 0.265, kb_relative_information_score: 152.3165, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6734, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5408, kb_relative_information_score: 133.4321, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5825, root_relative_squared_error: 1.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4074, f_measure: 0.4738, kappa: -0.1859, kb_relative_information_score: -161.6378, mean_absolute_error: 0.5253, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4729, predictive_accuracy: 0.4747, prior_entropy: 0.9188, recall: 0.4747, relative_absolute_error: 1.1815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7248, root_relative_squared_error: 1.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7198, kappa: 0.3561, kb_relative_information_score: 242.0178, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7185, predictive_accuracy: 0.7292, prior_entropy: 0.9188, recall: 0.7292, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.5608, kappa: 0.0112, kb_relative_information_score: -24.7254, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5605, predictive_accuracy: 0.561, prior_entropy: 0.9188, recall: 0.561, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6626, root_relative_squared_error: 1.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7074, kappa: 0.3322, kb_relative_information_score: 216.0516, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7047, predictive_accuracy: 0.7128, prior_entropy: 0.9188, recall: 0.7128, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.5458, kappa: -0.0109, kb_relative_information_score: -55.4126, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5507, predictive_accuracy: 0.5417, prior_entropy: 0.9188, recall: 0.5417, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.677, root_relative_squared_error: 1.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.7385, kappa: 0.4094, kb_relative_information_score: 258.5417, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7376, predictive_accuracy: 0.7396, prior_entropy: 0.9188, recall: 0.7396, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.6637, kappa: 0.2237, kb_relative_information_score: 201.8883, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6873, predictive_accuracy: 0.7039, prior_entropy: 0.9188, recall: 0.7039, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.7089, kappa: 0.3259, kb_relative_information_score: 242.0178, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7168, predictive_accuracy: 0.7292, prior_entropy: 0.9188, recall: 0.7292, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.6704, kappa: 0.2438, kb_relative_information_score: 164.1193, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6665, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7342, kappa: 0.3973, kb_relative_information_score: 253.8206, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7326, predictive_accuracy: 0.7366, prior_entropy: 0.9188, recall: 0.7366, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7131, kappa: 0.3404, kb_relative_information_score: 232.5755, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7118, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4141, f_measure: 0.4792, kappa: -0.1719, kb_relative_information_score: -154.5561, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4792, predictive_accuracy: 0.4792, prior_entropy: 0.9188, recall: 0.4792, relative_absolute_error: 1.1714, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7217, root_relative_squared_error: 1.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.7117, kappa: 0.3418, kb_relative_information_score: 223.1333, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7091, predictive_accuracy: 0.7173, prior_entropy: 0.9188, recall: 0.7173, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6941, kappa: 0.2917, kb_relative_information_score: 220.7727, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7003, predictive_accuracy: 0.7158, prior_entropy: 0.9188, recall: 0.7158, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7419, kappa: 0.4213, kb_relative_information_score: 260.9022, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7429, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.5347, kappa: -0.0525, kb_relative_information_score: -35.679, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5081, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kb_relative_information_score: -12.3401, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.5503, kappa: -0.0343, kb_relative_information_score: -34.0225, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5336, predictive_accuracy: 0.6116, prior_entropy: 0.9188, recall: 0.6116, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5302, kappa: -0.0205, kb_relative_information_score: -13.7248, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4754, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, kb_relative_information_score: -0.2914, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, kb_relative_information_score: -6.4264, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kb_relative_information_score: -11.1599, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: -24.7927, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5259, kappa: -0.0935, kb_relative_information_score: -33.6484, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5118, predictive_accuracy: 0.5476, prior_entropy: 0.9188, recall: 0.5476, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.5488, kappa: 0.0116, kb_relative_information_score: -25.2825, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5831, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, kb_relative_information_score: -25.424, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5402, kappa: 0.0119, kb_relative_information_score: 0.0309, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7791, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.5294, kappa: -0.0234, kb_relative_information_score: -25.4501, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4721, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.5411, kappa: -0.0386, kb_relative_information_score: -32.0788, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5212, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.5352, kappa: -0.0709, kb_relative_information_score: -36.0589, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5119, predictive_accuracy: 0.5952, prior_entropy: 0.9188, recall: 0.5952, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5575, kappa: 0.0028, kb_relative_information_score: -20.6111, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5583, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.3423, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4352, kb_relative_information_score: 129.6528, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.558, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, kb_relative_information_score: 74.2379, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.5661, kappa: 0.0026, kb_relative_information_score: -18.6133, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5573, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 0.8164, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4968, kappa: -0.0276, kb_relative_information_score: -123.5759, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5415, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4779, f_measure: 0.5356, kappa: -0.0498, kb_relative_information_score: -34.4083, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5099, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 0.8164, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4691, kb_relative_information_score: -13.0792, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5319, kappa: -0.0059, kb_relative_information_score: -5.6712, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4438, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.517, kappa: 0.0157, kb_relative_information_score: -112.9128, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5636, predictive_accuracy: 0.503, prior_entropy: 0.9188, recall: 0.503, relative_absolute_error: 1.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.1949, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -17.359, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.1164, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.3848, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.5605, kappa: 0.0317, kb_relative_information_score: -25.4803, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6149, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.2513, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4966, kappa: -0.0567, kb_relative_information_score: -122.087, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5282, predictive_accuracy: 0.4821, prior_entropy: 0.9188, recall: 0.4821, relative_absolute_error: 1.1105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.529, kappa: -0.0177, kb_relative_information_score: -4.8386, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4424, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.5569, kappa: -0.0135, kb_relative_information_score: -68.9876, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5459, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 1.0541, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.5312, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

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