Task
Supervised Regression on witmer_census_1980

Supervised Regression on witmer_census_1980

Task 4985 Supervised Regression witmer_census_1980 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 witmer_census_1980
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5.3042, mean_prior_absolute_error: 6.0053, number_of_instances: 50, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 7.4937, root_mean_squared_error: 7.1212, root_relative_squared_error: 0.9503, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.055,
Heidi Seibold 7 years ago
ran flow mlr.regr.rpart(5) on task Supervised Regression on data set witmer_census_1980
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5.3042, mean_prior_absolute_error: 6.0053, number_of_instances: 50, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 7.4937, root_mean_squared_error: 7.1212, root_relative_squared_error: 0.9503, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.03,

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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 witmer_census_1980 (1)
    target_feature HSPerc

    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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