Task
Supervised Classification on planning-relax

Supervised Classification on planning-relax

Task 145858 Supervised Classification planning-relax 31 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.6018, kappa: -0.0103, kb_relative_information_score: -5.9764, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5805, predictive_accuracy: 0.6923, prior_entropy: 0.8662, recall: 0.6923, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4688, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4403, f_measure: 0.5952, kb_relative_information_score: -2.9691, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4384, f_measure: 0.5952, kb_relative_information_score: -3.6164, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.5564, kappa: -0.1403, kb_relative_information_score: -20.9012, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5229, predictive_accuracy: 0.6044, prior_entropy: 0.8662, recall: 0.6044, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4476, f_measure: 0.5952, kb_relative_information_score: -5.5924, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4624, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.6528, kappa: 0.1355, kb_relative_information_score: 5.252, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6475, predictive_accuracy: 0.6593, prior_entropy: 0.8662, recall: 0.6593, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5926, kappa: -0.0109, kb_relative_information_score: -9.3359, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5091, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4691, f_measure: 0.5767, kappa: -0.0874, kb_relative_information_score: -17.0045, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5349, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.5826, kappa: -0.0744, kb_relative_information_score: -14.8856, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5519, predictive_accuracy: 0.6374, prior_entropy: 0.8662, recall: 0.6374, relative_absolute_error: 1.0179, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5952, kb_relative_information_score: -3.5443, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.457, f_measure: 0.6049, kb_relative_information_score: -7.3614, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5918, predictive_accuracy: 0.6978, prior_entropy: 0.8662, recall: 0.6978, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.5952, kb_relative_information_score: -7.7207, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: -0.3069, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.5767, kappa: -0.0874, kb_relative_information_score: -16.9292, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5349, predictive_accuracy: 0.6484, prior_entropy: 0.8662, recall: 0.6484, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4055, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5666, kappa: -0.1155, kb_relative_information_score: -12.9996, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5314, predictive_accuracy: 0.6209, prior_entropy: 0.8662, recall: 0.6209, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4406, f_measure: 0.5952, kb_relative_information_score: 3.2004, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.5726, kappa: -0.0943, kb_relative_information_score: -21.3666, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5207, predictive_accuracy: 0.6538, prior_entropy: 0.8662, recall: 0.6538, relative_absolute_error: 1.0406, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.5924, kappa: -0.0403, kb_relative_information_score: -20.3942, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5574, predictive_accuracy: 0.6758, prior_entropy: 0.8662, recall: 0.6758, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.6339, kappa: 0.0655, kb_relative_information_score: -13.9452, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.6478, predictive_accuracy: 0.7088, prior_entropy: 0.8662, recall: 0.7088, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, f_measure: 0.5665, kappa: -0.1125, kb_relative_information_score: -21.5932, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5152, predictive_accuracy: 0.6429, prior_entropy: 0.8662, recall: 0.6429, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.5833, kappa: -0.0493, kb_relative_information_score: -25.6878, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5712, predictive_accuracy: 0.5989, prior_entropy: 0.8662, recall: 0.5989, relative_absolute_error: 1.0529, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5952, kb_relative_information_score: 0.4085, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,

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    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)

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