OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
Issue #Downvotes for this reason By


Metric:

16132 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: 0.9945, kappa: 0.8972, kb_relative_information_score: 603.4908, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, kappa: 0.7669, kb_relative_information_score: 475.4136, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7892, prior_entropy: 3.8572, recall: 0.7892, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, kappa: 0.8954, kb_relative_information_score: 604.6095, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9321, kappa: 0.9261, kb_relative_information_score: 617.787, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9357, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, kappa: 0.6032, kb_relative_information_score: 264.9408, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6486, prior_entropy: 3.8572, recall: 0.6486, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.189, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9198, kappa: 0.9148, kb_relative_information_score: 599.1679, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, kappa: 0.8921, kb_relative_information_score: 603.5698, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.8272, kb_relative_information_score: 506.4601, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8433, prior_entropy: 3.8572, recall: 0.8433, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8974, kappa: 0.8908, kb_relative_information_score: 618.8591, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9052, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9208, kappa: 0.9133, kb_relative_information_score: 637.4364, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9225, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, kappa: 0.8937, kb_relative_information_score: 584.4544, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, kappa: 0.8905, kb_relative_information_score: 594.1017, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9382, kappa: 0.9326, kb_relative_information_score: 639.6977, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.94, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9013, kappa: 0.891, kb_relative_information_score: 603.7636, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9109, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9335, kappa: 0.9277, kb_relative_information_score: 578.728, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9437, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9157, kappa: 0.9085, kb_relative_information_score: 601.0827, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9243, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, kappa: 0.8192, kb_relative_information_score: 544.8279, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, kappa: 0.8272, kb_relative_information_score: 544.7871, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8419, prior_entropy: 3.8572, recall: 0.8419, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9221, kappa: 0.9149, kb_relative_information_score: 608.8802, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9289, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9273, kappa: 0.9212, kb_relative_information_score: 606.5344, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.935, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, kappa: 0.8986, kb_relative_information_score: 603.176, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9181, kappa: 0.9131, kb_relative_information_score: 613.2509, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9266, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9029, kappa: 0.8969, kb_relative_information_score: 500.4937, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9319, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.944, kappa: 0.939, kb_relative_information_score: 635.3813, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.947, predictive_accuracy: 0.9444, prior_entropy: 3.8572, recall: 0.9444, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9318, kappa: 0.9261, kb_relative_information_score: 605.0504, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, kappa: 0.8734, kb_relative_information_score: 550.9251, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8843, prior_entropy: 3.8572, recall: 0.8843, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9393, kappa: 0.9342, kb_relative_information_score: 629.4469, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9455, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.8808, kb_relative_information_score: 512.0252, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9309, kappa: 0.9246, kb_relative_information_score: 617.7104, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.936, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, kappa: 0.78, kb_relative_information_score: 501.1299, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7994, prior_entropy: 3.8572, recall: 0.7994, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9079, kappa: 0.8989, kb_relative_information_score: 624.8243, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9098, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9069, kappa: 0.8988, kb_relative_information_score: 627.7512, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.908, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9323, kappa: 0.9261, kb_relative_information_score: 635.3057, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9342, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8946, kappa: 0.8905, kb_relative_information_score: 508.6835, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9271, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, kappa: 0.9052, kb_relative_information_score: 619.3406, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, kappa: 0.6329, kb_relative_information_score: 276.3931, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.675, prior_entropy: 3.8572, recall: 0.675, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, kappa: 0.9067, kb_relative_information_score: 624.0689, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, kappa: 0.8717, kb_relative_information_score: 613.1994, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9279, kappa: 0.9228, kb_relative_information_score: 611.3532, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9336, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.08, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9367, kappa: 0.931, kb_relative_information_score: 616.7928, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9424, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, kappa: 0.8421, kb_relative_information_score: 527.058, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8565, prior_entropy: 3.8572, recall: 0.8565, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8873, kb_relative_information_score: 552.5059, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9224, kappa: 0.9148, kb_relative_information_score: 570.2798, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.099, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8929, kappa: 0.8843, kb_relative_information_score: 562.5629, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9059, predictive_accuracy: 0.8946, prior_entropy: 3.8572, recall: 0.8946, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8693, kappa: 0.8663, kb_relative_information_score: 540.3502, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8875, predictive_accuracy: 0.8785, prior_entropy: 3.8572, recall: 0.8785, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.8824, kb_relative_information_score: 532.2148, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8931, prior_entropy: 3.8572, recall: 0.8931, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9312, kappa: 0.9246, kb_relative_information_score: 632.9302, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9326, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.8338, kb_relative_information_score: 508.6139, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8492, prior_entropy: 3.8572, recall: 0.8492, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8719, kappa: 0.8743, kb_relative_information_score: 550.039, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8805, predictive_accuracy: 0.8858, prior_entropy: 3.8572, recall: 0.8858, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.85, kb_relative_information_score: 522.7499, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8638, prior_entropy: 3.8572, recall: 0.8638, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9317, kappa: 0.9261, kb_relative_information_score: 616.6257, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9378, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.078, root_relative_squared_error: 0.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, kappa: 0.8076, kb_relative_information_score: 489.9472, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8258, prior_entropy: 3.8572, recall: 0.8258, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, kappa: 0.811, kb_relative_information_score: 518.2, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8272, prior_entropy: 3.8572, recall: 0.8272, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9121, kappa: 0.9053, kb_relative_information_score: 582.8244, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9241, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.9036, kb_relative_information_score: 616.5773, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, kappa: 0.8597, kb_relative_information_score: 518.9959, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9208, kappa: 0.9164, kb_relative_information_score: 591.6047, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9352, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.09, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8982, kappa: 0.8878, kb_relative_information_score: 582.9059, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9132, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8902, kappa: 0.8814, kb_relative_information_score: 606.5911, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9026, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9381, kappa: 0.9326, kb_relative_information_score: 627.512, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9409, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, kappa: 0.8905, kb_relative_information_score: 605.4732, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.8905, kb_relative_information_score: 584.8402, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9087, kappa: 0.899, kb_relative_information_score: 612.9842, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9156, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, kappa: 0.82, kb_relative_information_score: 506.1498, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.836, prior_entropy: 3.8572, recall: 0.836, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, kappa: 0.8879, kb_relative_information_score: 586.6993, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9365, kappa: 0.931, kb_relative_information_score: 621.7791, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9407, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.075, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8999, kappa: 0.8924, kb_relative_information_score: 572.9872, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9133, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, kappa: 0.8407, kb_relative_information_score: 584.7329, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, kappa: 0.9131, kb_relative_information_score: 617.6835, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.8768, kb_relative_information_score: 580.8599, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8873, prior_entropy: 3.8572, recall: 0.8873, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, kappa: 0.8702, kb_relative_information_score: 551.0633, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.5231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9141, kappa: 0.9083, kb_relative_information_score: 606.3038, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9228, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, kappa: 0.8302, kb_relative_information_score: 534.9706, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8448, prior_entropy: 3.8572, recall: 0.8448, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9272, kappa: 0.9213, kb_relative_information_score: 617.2458, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9323, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, kappa: 0.8922, kb_relative_information_score: 554.7665, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9412, kappa: 0.9358, kb_relative_information_score: 637.0944, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9444, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kappa: 0.8062, kb_relative_information_score: 487.3797, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8243, prior_entropy: 3.8572, recall: 0.8243, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, kappa: 0.8759, kb_relative_information_score: 489.6338, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8873, prior_entropy: 3.8572, recall: 0.8873, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9282, kappa: 0.9213, kb_relative_information_score: 642.112, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9296, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.3218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, kappa: 0.7425, kb_relative_information_score: 491.3219, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7657, prior_entropy: 3.8572, recall: 0.7657, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.143, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, kappa: 0.8189, kb_relative_information_score: 531.9332, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9293, kappa: 0.9229, kb_relative_information_score: 602.0636, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9369, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9279, kappa: 0.9213, kb_relative_information_score: 625.01, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.8285, kb_relative_information_score: 504.8166, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8448, prior_entropy: 3.8572, recall: 0.8448, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, kappa: 0.85, kb_relative_information_score: 520.9709, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8638, prior_entropy: 3.8572, recall: 0.8638, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, kappa: 0.7668, kb_relative_information_score: 552.2912, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7862, prior_entropy: 3.8572, recall: 0.7862, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, kappa: 0.8972, kb_relative_information_score: 617.2753, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.8369, kb_relative_information_score: 504.9094, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8521, prior_entropy: 3.8572, recall: 0.8521, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, kappa: 0.8824, kb_relative_information_score: 548.8696, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8931, prior_entropy: 3.8572, recall: 0.8931, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9157, kappa: 0.91, kb_relative_information_score: 573.464, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9304, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9294, kappa: 0.9229, kb_relative_information_score: 630.8436, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9321, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, kappa: 0.8942, kb_relative_information_score: 599.4241, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9122, kappa: 0.9099, kb_relative_information_score: 586.4182, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9256, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, kappa: 0.7855, kb_relative_information_score: 486.6969, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8053, prior_entropy: 3.8572, recall: 0.8053, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8613, kappa: 0.8551, kb_relative_information_score: 527.6927, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8797, predictive_accuracy: 0.8682, prior_entropy: 3.8572, recall: 0.8682, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9381, kappa: 0.9325, kb_relative_information_score: 638.5049, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9247, kappa: 0.9181, kb_relative_information_score: 614.3249, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9301, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.08, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9348, kappa: 0.9293, kb_relative_information_score: 622.0934, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.94, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8916, kappa: 0.8905, kb_relative_information_score: 528.2627, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9215, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, kappa: 0.8288, kb_relative_information_score: 498.7198, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8448, prior_entropy: 3.8572, recall: 0.8448, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6027,

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