Task
Supervised Regression on humandevel

Supervised Regression on humandevel

Task 4854 Supervised Regression humandevel 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 humandevel
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2398, number_of_instances: 130, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.2706, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5555, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.055,
Heidi Seibold 7 years ago
ran flow mlr.regr.rpart(5) on task Supervised Regression on data set humandevel
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.2398, number_of_instances: 130, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.2706, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5555, usercpu_time_millis: 0.034, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.027,

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    Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

    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 humandevel (1)
    target_feature hdi

    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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