Task
Supervised Classification on profb

Supervised Classification on profb

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


Metric:

13173 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.6244, kappa: 0.1477, kb_relative_information_score: 67.1849, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6214, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5801, root_relative_squared_error: 1.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.621, kappa: 0.1229, kb_relative_information_score: 44.0224, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6156, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5779, kappa: 0.0327, kb_relative_information_score: 15.0208, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5704, predictive_accuracy: 0.5893, prior_entropy: 0.9188, recall: 0.5893, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6198, kappa: 0.1202, kb_relative_information_score: 43.5953, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6142, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.6223, kappa: 0.1448, kb_relative_information_score: 45.919, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.62, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.6183, kappa: 0.1198, kb_relative_information_score: 37.3199, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6115, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.6235, kappa: 0.1304, kb_relative_information_score: 36.0342, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.6278, kappa: 0.1403, kb_relative_information_score: 36.8239, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6221, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4896, root_relative_squared_error: 1.0387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.6247, kappa: 0.1319, kb_relative_information_score: 45.7837, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6192, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.6238, kappa: 0.1379, kb_relative_information_score: 27.4634, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6181, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6309, kappa: 0.1455, kb_relative_information_score: 55.3165, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6273, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.6238, kappa: 0.1379, kb_relative_information_score: 25.8646, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6181, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.6113, kappa: 0.1164, kb_relative_information_score: 28.0665, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6075, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.6286, kappa: 0.1423, kb_relative_information_score: 37.9503, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6228, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.6278, kappa: 0.1403, kb_relative_information_score: 36.5616, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6221, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.6263, kappa: 0.1361, kb_relative_information_score: 39.9798, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6263, kappa: 0.1361, kb_relative_information_score: 38.6012, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.6201, kappa: 0.1385, kb_relative_information_score: 47.3819, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.6122, kappa: 0.1119, kb_relative_information_score: 20.1057, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6062, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.6263, kappa: 0.1361, kb_relative_information_score: 36.887, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.6143, kappa: 0.1118, kb_relative_information_score: 23.775, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6072, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.621, kappa: 0.1229, kb_relative_information_score: 45.5406, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6156, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.622, kappa: 0.1333, kb_relative_information_score: 19.3138, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6161, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.5937, kappa: 0.068, kb_relative_information_score: 6.265, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5865, predictive_accuracy: 0.6057, prior_entropy: 0.9188, recall: 0.6057, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.6265, kappa: 0.1355, kb_relative_information_score: 48.5592, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6222, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.478, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6225, kappa: 0.1259, kb_relative_information_score: 45.909, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6178, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.6374, kappa: 0.1743, kb_relative_information_score: 68.9508, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6336, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.531, root_relative_squared_error: 1.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.6131, kappa: 0.1093, kb_relative_information_score: 24.3719, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.606, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6278, kappa: 0.1403, kb_relative_information_score: 37.021, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6221, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 46.88, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.6137, kappa: 0.1069, kb_relative_information_score: 43.0092, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6067, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.6121, kappa: 0.1152, kb_relative_information_score: 29.4295, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6072, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.1308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.6265, kappa: 0.1355, kb_relative_information_score: 48.8002, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6222, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6265, kappa: 0.1355, kb_relative_information_score: 47.3868, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6222, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6225, kappa: 0.1259, kb_relative_information_score: 47.4826, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6178, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.6143, kappa: 0.1118, kb_relative_information_score: 25.9318, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6072, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.6263, kappa: 0.1361, kb_relative_information_score: 37.9812, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6309, kappa: 0.1455, kb_relative_information_score: 54.1338, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6273, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.6183, kappa: 0.1198, kb_relative_information_score: 37.0478, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6115, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.6235, kappa: 0.1304, kb_relative_information_score: 35.158, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.618, kappa: 0.1181, kb_relative_information_score: 36.6424, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6112, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6108, kappa: 0.1144, kb_relative_information_score: 32.2592, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6067, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.6201, kappa: 0.1272, kb_relative_information_score: 26.5885, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.6043, kappa: 0.0951, kb_relative_information_score: 22.5424, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5984, predictive_accuracy: 0.6131, prior_entropy: 0.9188, recall: 0.6131, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.62, kappa: 0.1215, kb_relative_information_score: 45.841, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6137, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6101, kappa: 0.1007, kb_relative_information_score: 34.8205, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6027, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.6391, kappa: 0.1729, kb_relative_information_score: 75.7274, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6339, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.1414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.6439, kappa: 0.1899, kb_relative_information_score: 76.6246, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6405, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6259, kappa: 0.1345, kb_relative_information_score: 46.3679, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6206, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.6156, kappa: 0.1117, kb_relative_information_score: 41.9214, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6088, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.6294, kappa: 0.1575, kb_relative_information_score: 60.6071, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6259, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6143, kappa: 0.1233, kb_relative_information_score: 31.3936, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6106, predictive_accuracy: 0.619, prior_entropy: 0.9188, recall: 0.619, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.527, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.6254, kappa: 0.1328, kb_relative_information_score: 47.8387, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6207, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.6188, kappa: 0.1247, kb_relative_information_score: 32.0567, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6125, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6309, kappa: 0.1467, kb_relative_information_score: 51.3935, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6382, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.622, kappa: 0.1268, kb_relative_information_score: 46.7894, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6285, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.6389, kappa: 0.1652, kb_relative_information_score: 53.1109, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6346, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6209, kappa: 0.124, kb_relative_information_score: 42.8689, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6266, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6254, kappa: 0.134, kb_relative_information_score: 45.4216, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6315, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.6326, kappa: 0.1494, kb_relative_information_score: 69.9722, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6348, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6253, kappa: 0.1356, kb_relative_information_score: 46.6364, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6364, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6476, kappa: 0.1932, kb_relative_information_score: 66.3054, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6429, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5946, kappa: 0.074, kb_relative_information_score: 17.0638, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5888, predictive_accuracy: 0.6027, prior_entropy: 0.9188, recall: 0.6027, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.5553, kappa: 0.0352, kb_relative_information_score: 27.7162, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7077, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6121, kappa: 0.1088, kb_relative_information_score: 50.1935, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6266, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6198, kappa: 0.1202, kb_relative_information_score: 45.0878, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6142, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6186, kappa: 0.1257, kb_relative_information_score: 43.6782, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6418, predictive_accuracy: 0.6756, prior_entropy: 0.9188, recall: 0.6756, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6275, kappa: 0.1385, kb_relative_information_score: 45.7086, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6324, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.6175, kappa: 0.1145, kb_relative_information_score: 42.8154, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6173, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.596, kappa: 0.0992, kb_relative_information_score: 36.2748, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6821, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6355, kappa: 0.1584, kb_relative_information_score: 63.0123, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6483, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.6276, kappa: 0.1412, kb_relative_information_score: 44.4181, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6408, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6364, kappa: 0.1588, kb_relative_information_score: 60.2331, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6432, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.6175, kappa: 0.1286, kb_relative_information_score: 46.5008, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6131, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.586, kappa: 0.0571, kb_relative_information_score: 38.7751, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6003, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6276, kappa: 0.1401, kb_relative_information_score: 49.2474, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6371, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6551, kappa: 0.202, kb_relative_information_score: 66.7532, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6666, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.5808, kappa: 0.0588, kb_relative_information_score: 37.5946, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6185, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6286, kappa: 0.157, kb_relative_information_score: 55.1563, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6256, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6319, kappa: 0.1483, kb_relative_information_score: 48.4326, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6371, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6287, kappa: 0.1423, kb_relative_information_score: 45.1679, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6375, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6254, kappa: 0.1351, kb_relative_information_score: 51.8391, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6346, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.623, kappa: 0.1276, kb_relative_information_score: 39.4698, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6178, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6148, kappa: 0.1181, kb_relative_information_score: 40.4471, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6389, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6013, kappa: 0.0891, kb_relative_information_score: 45.5347, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6209, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6377, kappa: 0.1628, kb_relative_information_score: 57.0218, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6487, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.5779, kappa: 0.0564, kb_relative_information_score: 33.8192, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6226, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6348, kappa: 0.1769, kb_relative_information_score: 64.2569, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6342, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6338, kappa: 0.1521, kb_relative_information_score: 49.6568, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6366, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, kb_relative_information_score: 10.7186, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6276, kappa: 0.1412, kb_relative_information_score: 44.9564, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6408, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.5704, kappa: 0.0611, kb_relative_information_score: 24.3529, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7182, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.6208, kappa: 0.1236, kb_relative_information_score: 54.9497, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6144, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, kb_relative_information_score: 8.3519, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6341, kappa: 0.1525, kb_relative_information_score: 51.7, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6334, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.6334, kappa: 0.1518, kb_relative_information_score: 72.5312, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6292, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.6207, kappa: 0.1224, kb_relative_information_score: 40.3098, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.615, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.5761, kappa: 0.0476, kb_relative_information_score: 39.9517, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6055, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6309, kappa: 0.1455, kb_relative_information_score: 48.0888, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6273, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6264, kappa: 0.1384, kb_relative_information_score: 46.2916, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6386, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9698,

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