OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

147945 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: 0.5005, kb_relative_information_score: -197.9364, mean_absolute_error: 0.6069, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.2977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7305, root_relative_squared_error: 1.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -26.729, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 50.4078, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 492.1011, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 380.5052, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9251, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -22.2613, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9291, kappa: 0.8473, kb_relative_information_score: 453.996, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9301, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 6.5972, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9091, kappa: 0.8068, kb_relative_information_score: 393.5792, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9104, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 1.7846, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9232, kappa: 0.8341, kb_relative_information_score: 295.0356, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9267, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 431.826, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9368, kappa: 0.8649, kb_relative_information_score: 429.9012, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9369, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 463.0278, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -1.3394, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9283, kappa: 0.8475, kb_relative_information_score: 410.648, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9294, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, kb_relative_information_score: 7.139, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.5337, kappa: 0.0758, kb_relative_information_score: 94.8406, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7754, predictive_accuracy: 0.6503, prior_entropy: 0.953, recall: 0.6503, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 11.0874, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9101, kappa: 0.8074, kb_relative_information_score: 339.9582, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9101, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -10.7855, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9398, kappa: 0.8705, kb_relative_information_score: 448.2648, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -15.8299, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 6.3879, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.919, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -2.0981, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9701, kappa: 0.9359, kb_relative_information_score: 497.7782, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 2.3162, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9131, kappa: 0.8128, kb_relative_information_score: 435.3834, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9141, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 2.2525, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9017, kappa: 0.7899, kb_relative_information_score: 247.3783, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9018, predictive_accuracy: 0.9016, prior_entropy: 0.953, recall: 0.9016, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -0.1024, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9379, kappa: 0.8663, kb_relative_information_score: 424.9809, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.5287, kappa: 0.0004, kb_relative_information_score: 15.936, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5326, predictive_accuracy: 0.5255, prior_entropy: 0.953, recall: 0.5255, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6477, root_relative_squared_error: 1.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9397, kappa: 0.8702, kb_relative_information_score: 434.1562, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9408, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 9.1412, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5228, kappa: 0.0012, kb_relative_information_score: 71.6871, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5335, predictive_accuracy: 0.6028, prior_entropy: 0.953, recall: 0.6028, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8681, kappa: 0.7238, kb_relative_information_score: 385.259, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8768, predictive_accuracy: 0.8664, prior_entropy: 0.953, recall: 0.8664, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7811, kappa: 0.5254, kb_relative_information_score: 136.345, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8206, predictive_accuracy: 0.7979, prior_entropy: 0.953, recall: 0.7979, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -25.2039, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5228, kappa: 0.0012, kb_relative_information_score: -54.9683, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5335, predictive_accuracy: 0.6028, prior_entropy: 0.953, recall: 0.6028, relative_absolute_error: 1.0581, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -2.627, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, kb_relative_information_score: 115.8259, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 0.8275, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9138, kappa: 0.8153, kb_relative_information_score: 397.4873, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9137, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8753, kappa: 0.7295, kb_relative_information_score: 402.657, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8835, predictive_accuracy: 0.8787, prior_entropy: 0.953, recall: 0.8787, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 4.3419, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -1.9477, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -4.0371, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.915, kappa: 0.8171, kb_relative_information_score: 342.4174, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9156, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 57.3208, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.5728, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -7.8498, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9451, kappa: 0.8818, kb_relative_information_score: 429.296, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9461, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9187, kappa: 0.8254, kb_relative_information_score: 357.9359, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9189, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8893, kappa: 0.7634, kb_relative_information_score: 430.2246, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8894, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9435, kappa: 0.8785, kb_relative_information_score: 498.4127, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9482, kappa: 0.8879, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9529, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9314, kappa: 0.8533, kb_relative_information_score: 483.0153, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9314, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8273, kappa: 0.6253, kb_relative_information_score: 368.6353, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8726, predictive_accuracy: 0.8401, prior_entropy: 0.953, recall: 0.8401, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9701, kappa: 0.9362, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9701, kappa: 0.9359, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9663, kappa: 0.9274, kb_relative_information_score: 527.0077, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9679, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9753, kappa: 0.947, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9756, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.903, kappa: 0.7919, kb_relative_information_score: 447.8215, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9029, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9134, kappa: 0.8138, kb_relative_information_score: 461.0192, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9136, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2194, f_measure: 0.2708, kappa: -0.566, kb_relative_information_score: -339.6411, mean_absolute_error: 0.7258, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2675, predictive_accuracy: 0.2742, prior_entropy: 0.953, recall: 0.2742, relative_absolute_error: 1.5521, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.852, root_relative_squared_error: 1.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9717, kappa: 0.9392, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9725, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9472, kappa: 0.887, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.415, f_measure: 0.4532, kappa: -0.1702, kb_relative_information_score: -115.2803, mean_absolute_error: 0.5466, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.4529, predictive_accuracy: 0.4534, prior_entropy: 0.953, recall: 0.4534, relative_absolute_error: 1.1688, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7393, root_relative_squared_error: 1.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8794, kappa: 0.7438, kb_relative_information_score: 417.0269, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.881, predictive_accuracy: 0.8787, prior_entropy: 0.953, recall: 0.8787, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8899, kappa: 0.7661, kb_relative_information_score: 430.2246, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8915, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.6163, kappa: 0.1823, kb_relative_information_score: 87.0844, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.6177, predictive_accuracy: 0.6151, prior_entropy: 0.953, recall: 0.6151, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6204, root_relative_squared_error: 1.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9771, kappa: 0.9508, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9773, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9519, kappa: 0.8962, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9548, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9719, kappa: 0.9399, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.95, kappa: 0.8918, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.877, kappa: 0.7369, kb_relative_information_score: 414.8272, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.877, predictive_accuracy: 0.877, prior_entropy: 0.953, recall: 0.877, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9788, kappa: 0.9545, kb_relative_information_score: 542.405, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9792, predictive_accuracy: 0.9789, prior_entropy: 0.953, recall: 0.9789, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9286, kappa: 0.8492, kb_relative_information_score: 478.6161, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9324, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9386, kappa: 0.8688, kb_relative_information_score: 491.8138, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2082, f_measure: 0.2597, kappa: -0.5841, kb_relative_information_score: -357.2381, mean_absolute_error: 0.7399, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2594, predictive_accuracy: 0.2601, prior_entropy: 0.953, recall: 0.2601, relative_absolute_error: 1.5822, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8602, root_relative_squared_error: 1.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9062, kappa: 0.7983, kb_relative_information_score: 452.2207, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9066, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9579, kappa: 0.9103, kb_relative_information_score: 516.0096, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9583, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9527, kappa: 0.8994, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9534, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.712, kappa: 0.3886, kb_relative_information_score: 258.6545, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8178, predictive_accuracy: 0.7522, prior_entropy: 0.953, recall: 0.7522, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8943, kappa: 0.7736, kb_relative_information_score: 436.8234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8942, predictive_accuracy: 0.8946, prior_entropy: 0.953, recall: 0.8946, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9372, kappa: 0.8639, kb_relative_information_score: 491.8138, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.944, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.513,

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