Task
Supervised Regression on boston_corrected

Supervised Regression on boston_corrected

Task 4868 Supervised Regression boston_corrected 2 runs submitted
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Heidi Seibold 7 years ago
ran flow mlr.regr.rpart.dummied(1) on task Supervised Regression on data set boston_corrected
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.8028, mean_prior_absolute_error: 5.7153, number_of_instances: 506, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 7.134, root_mean_squared_error: 3.8337, root_relative_squared_error: 0.5374, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.481,
Heidi Seibold 7 years ago
ran flow mlr.regr.rpart(5) on task Supervised Regression on data set boston_corrected
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2.8217, mean_prior_absolute_error: 5.7153, number_of_instances: 506, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 7.134, root_mean_squared_error: 3.8796, root_relative_squared_error: 0.5438, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.069,

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    Challenge

    Given a dataset with a numeric target and a set of train/test splits, e.g. generated by a cross-validation procedure, train a model and return the predictions of that model.

    Given inputs

    estimation_procedure 10-fold Crossvalidation
    evaluation_measures mean_absolute_error
    source_data boston_corrected (1)
    target_feature LSTAT

    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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