OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 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:

13324 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: 0.4935, kb_relative_information_score: -1.4123, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8991, kappa: 0.795, kb_relative_information_score: 349.0894, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9033, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 5.514, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9, kappa: 0.7973, kb_relative_information_score: 334.598, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 413.7937, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.6653, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.8368, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.7536, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5267, kappa: 0.0608, kb_relative_information_score: 17.3406, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5375, predictive_accuracy: 0.526, prior_entropy: 0.991, recall: 0.526, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6885, root_relative_squared_error: 1.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.5262, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.4547, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -20.6722, mean_absolute_error: 0.5081, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.8052, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.9495, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1265, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 7.6454, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 458.5516, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.2876, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9116, kappa: 0.8206, kb_relative_information_score: 380.5083, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9128, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.1057, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8753, kappa: 0.7468, kb_relative_information_score: 361.9076, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.877, predictive_accuracy: 0.876, prior_entropy: 0.991, recall: 0.876, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.3663, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6867, kappa: 0.3678, kb_relative_information_score: 63.6992, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6883, predictive_accuracy: 0.686, prior_entropy: 0.991, recall: 0.686, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.3964, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9159, kappa: 0.8296, kb_relative_information_score: 379.5379, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.6056, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7286, kappa: 0.4526, kb_relative_information_score: 165.5353, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7304, predictive_accuracy: 0.728, prior_entropy: 0.991, recall: 0.728, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8943, kappa: 0.7873, kb_relative_information_score: 165.571, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8978, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8003, kappa: 0.6036, kb_relative_information_score: 213.6304, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8155, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.0761, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8957, kappa: 0.7885, kb_relative_information_score: 273.5296, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9138, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8961, kappa: 0.7899, kb_relative_information_score: 312.1534, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8965, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6847, kappa: 0.3634, kb_relative_information_score: 79.8743, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6861, predictive_accuracy: 0.684, prior_entropy: 0.991, recall: 0.684, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8893, kappa: 0.7751, kb_relative_information_score: 322.3242, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8918, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9099, kappa: 0.8173, kb_relative_information_score: 354.4769, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.991, recall: 0.91, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9183, kappa: 0.8362, kb_relative_information_score: 381.3847, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9256, predictive_accuracy: 0.918, prior_entropy: 0.991, recall: 0.918, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.5774, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.2463, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -11.591, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.3365, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 5.6922, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.9259, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6929, kappa: 0.3777, kb_relative_information_score: 45.3822, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7019, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3954, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.6597, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 19.31, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.1073, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.4491, kappa: 0.0597, kb_relative_information_score: 21.754, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7607, predictive_accuracy: 0.58, prior_entropy: 0.991, recall: 0.58, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.3597, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6828, kappa: 0.3603, kb_relative_information_score: 86.3791, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6848, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5254, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -3.7417, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4842, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 198.0962, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8735, kappa: 0.7431, kb_relative_information_score: 237.815, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8745, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.9678, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1983, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 9.6655, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.9349, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.0187, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2655, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8876, kappa: 0.7717, kb_relative_information_score: 288.2568, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.915, kappa: 0.8274, kb_relative_information_score: 327.9779, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.922, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.2376, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9678, kappa: 0.9347, kb_relative_information_score: 261.6327, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9697, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.2997, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0287, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8619, kappa: 0.7201, kb_relative_information_score: 312.8969, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 0.991, recall: 0.862, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.6529, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.8951, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7936, kappa: 0.5814, kb_relative_information_score: 228.2926, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7936, predictive_accuracy: 0.794, prior_entropy: 0.991, recall: 0.794, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9338, kappa: 0.8655, kb_relative_information_score: 360.9566, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9348, predictive_accuracy: 0.934, prior_entropy: 0.991, recall: 0.934, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.9353, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.7025, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.6946, kappa: 0.3833, kb_relative_information_score: 48.9734, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6959, predictive_accuracy: 0.694, prior_entropy: 0.991, recall: 0.694, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.5981, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8154, kappa: 0.6251, kb_relative_information_score: 196.927, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8222, predictive_accuracy: 0.818, prior_entropy: 0.991, recall: 0.818, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.869, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8399, kappa: 0.6748, kb_relative_information_score: 290.9467, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8465, predictive_accuracy: 0.842, prior_entropy: 0.991, recall: 0.842, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -27.9246, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8758, kappa: 0.748, kb_relative_information_score: 221.8569, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8876, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -7.3651, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.3984, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.1938, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.0243, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7595, kappa: 0.5276, kb_relative_information_score: 180.6438, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7844, predictive_accuracy: 0.76, prior_entropy: 0.991, recall: 0.76, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.9141, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.3419, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.9156, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.1305, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5994, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -43.4468, mean_absolute_error: 0.5288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.7839, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0052,

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