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: 0.5, 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: 0.5, 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: 0.9666, 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: 0.9595, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
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: 0.8863, f_measure: 0.8944, kappa: 0.774, kb_relative_information_score: 436.8234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8944, 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: 0.9578, 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: 0.934, 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: 0.9699, 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: 0.9632, f_measure: 0.9717, kappa: 0.939, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9728, 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: 0.8854, f_measure: 0.8912, kappa: 0.7678, kb_relative_information_score: 432.4242, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8915, predictive_accuracy: 0.891, prior_entropy: 0.953, recall: 0.891, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9735, kappa: 0.9429, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9744, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9562, kappa: 0.9066, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9566, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9421, kappa: 0.8763, kb_relative_information_score: 496.213, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4981,
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: 0.5, 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: 0.5, 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: 0.9399, f_measure: 0.9438, kappa: 0.8797, 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: 0.402, f_measure: 0.4207, kappa: -0.2269, kb_relative_information_score: -51.4914, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3609, predictive_accuracy: 0.5044, prior_entropy: 0.953, recall: 0.5044, relative_absolute_error: 1.0598, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.704, root_relative_squared_error: 1.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.2735, kappa: -0.5614, kb_relative_information_score: -335.2419, mean_absolute_error: 0.7223, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2695, predictive_accuracy: 0.2777, prior_entropy: 0.953, recall: 0.2777, relative_absolute_error: 1.5446, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8499, root_relative_squared_error: 1.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4639, f_measure: 0.5046, kappa: -0.0753, kb_relative_information_score: -33.8945, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.4962, predictive_accuracy: 0.5185, prior_entropy: 0.953, recall: 0.5185, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6939, root_relative_squared_error: 1.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8927, kappa: 0.7705, kb_relative_information_score: 434.6238, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8927, predictive_accuracy: 0.8928, prior_entropy: 0.953, recall: 0.8928, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6772,
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: 0.9333, f_measure: 0.9368, kappa: 0.8649, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, 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: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202,
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: 0.9642, 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: 0.9699, 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: 0.4766, f_measure: 0.5093, kappa: -0.0465, kb_relative_information_score: -47.0922, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5107, predictive_accuracy: 0.5079, prior_entropy: 0.953, recall: 0.5079, relative_absolute_error: 1.0523, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7015, root_relative_squared_error: 1.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9574, kappa: 0.908, kb_relative_information_score: 516.0096, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, 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: 0.8661, f_measure: 0.8752, kappa: 0.7329, kb_relative_information_score: 412.6276, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 0.953, recall: 0.8752, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7306,
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: 0.934, 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: 0.9349, f_measure: 0.95, kappa: 0.8921, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9538, 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: 0.7311, f_measure: 0.7766, kappa: 0.5189, kb_relative_information_score: 318.0441, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8481, predictive_accuracy: 0.7996, prior_entropy: 0.953, recall: 0.7996, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9258,
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: 0.9127, f_measure: 0.9335, kappa: 0.8558, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9411, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8804, kappa: 0.74, kb_relative_information_score: 425.8253, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9019, predictive_accuracy: 0.8858, prior_entropy: 0.953, recall: 0.8858, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8805, kappa: 0.7444, kb_relative_information_score: 419.2265, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.953, recall: 0.8805, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, 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: 0.9581, f_measure: 0.963, kappa: 0.9207, 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: 0.9582, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9171, kappa: 0.8221, kb_relative_information_score: 465.4184, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9171, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 496.213, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4981,
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: 0.9256, f_measure: 0.9183, kappa: 0.8281, kb_relative_information_score: 465.4184, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.924, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8786, kappa: 0.7399, kb_relative_information_score: 417.0269, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8784, 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: 0.8925, f_measure: 0.9168, kappa: 0.8195, kb_relative_information_score: 467.618, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9274, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, 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: 0.109, 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: 0.5024, f_measure: 0.4878, kappa: 0.0059, kb_relative_information_score: 104.6813, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7669, predictive_accuracy: 0.6292, prior_entropy: 0.953, recall: 0.6292, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.609, root_relative_squared_error: 1.2595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2068, f_measure: 0.2583, kappa: -0.5863, kb_relative_information_score: -359.4377, mean_absolute_error: 0.7417, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2583, predictive_accuracy: 0.2583, prior_entropy: 0.953, recall: 0.2583, relative_absolute_error: 1.5859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8612, root_relative_squared_error: 1.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.9157, kappa: 0.8176, kb_relative_information_score: 465.4184, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9211, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, 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: 0.9633, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
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: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, 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: 0.9319, f_measure: 0.9351, kappa: 0.8613, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9352, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 507.2111, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, 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: 0.2223, f_measure: 0.2731, kappa: -0.557, kb_relative_information_score: -339.6411, mean_absolute_error: 0.7258, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.272, 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: 0.9135, f_measure: 0.9192, kappa: 0.8271, kb_relative_information_score: 467.618, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8902, kappa: 0.7612, kb_relative_information_score: 436.8234, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9084, 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: 0.8935, f_measure: 0.9139, kappa: 0.8135, kb_relative_information_score: 463.2188, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9196, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9297, kappa: 0.8496, kb_relative_information_score: 480.8157, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8166, kappa: 0.6026, kb_relative_information_score: 357.6372, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.867, predictive_accuracy: 0.8313, prior_entropy: 0.953, recall: 0.8313, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 516.0096, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, 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: 0.9601, f_measure: 0.9597, kappa: 0.9141, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
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: 0.9647, f_measure: 0.97, kappa: 0.9357, 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: 0.9606, f_measure: 0.9614, kappa: 0.9176, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9438, kappa: 0.8797, 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: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, 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: 0.9286, f_measure: 0.9332, kappa: 0.8572, kb_relative_information_score: 485.215, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9753, kappa: 0.9469, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9758, 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: 0.9561, 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: 0.5, 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: 0.8853, 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: 0.5, 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: 0.9046, f_measure: 0.9104, kappa: 0.8085, kb_relative_information_score: 456.62, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9105, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9019, kappa: 0.7868, kb_relative_information_score: 450.0211, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9152, predictive_accuracy: 0.9051, prior_entropy: 0.953, recall: 0.9051, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9493, kappa: 0.8921, kb_relative_information_score: 505.0115, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9503, 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: 0.9609, f_measure: 0.9699, kappa: 0.9352, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9711, 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: 0.5, 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: 0.9662, f_measure: 0.9684, kappa: 0.9323, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.4918, kappa: 0.0118, kb_relative_information_score: 106.881, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7676, predictive_accuracy: 0.6309, prior_entropy: 0.953, recall: 0.6309, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6075, root_relative_squared_error: 1.2565,
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: 0.9592, f_measure: 0.9597, kappa: 0.914, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9599, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8753, kappa: 0.7334, kb_relative_information_score: 412.6276, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8753, predictive_accuracy: 0.8752, prior_entropy: 0.953, recall: 0.8752, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8804, kappa: 0.7439, kb_relative_information_score: 419.2265, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.953, recall: 0.8805, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
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: 0.8703, f_measure: 0.8803, kappa: 0.7434, kb_relative_information_score: 419.2265, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8801, predictive_accuracy: 0.8805, prior_entropy: 0.953, recall: 0.8805, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9753, kappa: 0.9471, kb_relative_information_score: 538.0058, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9755, 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: 0.8567, f_measure: 0.8839, kappa: 0.7478, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8951, predictive_accuracy: 0.8875, prior_entropy: 0.953, recall: 0.8875, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.213, f_measure: 0.264, kappa: -0.5735, kb_relative_information_score: -352.8388, mean_absolute_error: 0.7364, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.2643, predictive_accuracy: 0.2636, prior_entropy: 0.953, recall: 0.2636, relative_absolute_error: 1.5747, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.8581, root_relative_squared_error: 1.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8877, kappa: 0.7603, kb_relative_information_score: 428.0249, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.888, predictive_accuracy: 0.8875, prior_entropy: 0.953, recall: 0.8875, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158,
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: 0.3824, f_measure: 0.4069, kappa: -0.2682, kb_relative_information_score: -82.286, mean_absolute_error: 0.5202, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3532, predictive_accuracy: 0.4798, prior_entropy: 0.953, recall: 0.4798, relative_absolute_error: 1.1124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7213, root_relative_squared_error: 1.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5992, kappa: 0.1465, kb_relative_information_score: 65.0883, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.6011, predictive_accuracy: 0.5975, prior_entropy: 0.953, recall: 0.5975, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6344, root_relative_squared_error: 1.3121,

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