Task
Supervised Regression on CPMP-2015-regression

Supervised Regression on CPMP-2015-regression

Task 189931 Supervised Regression CPMP-2015-regression 8 runs submitted
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Making a prediction for row_id2108 (0-based) while dataset has only 2108 instances.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out

    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

    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

    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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