Joseph K. Bradley created SPARK-3727:
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Summary: DecisionTree, RandomForest: More prediction functionality
Key: SPARK-3727
URL: https://issues.apache.org/jira/browse/SPARK-3727
Project: Spark
Issue Type: Improvement
Components: MLlib
Reporter: Joseph K. Bradley
DecisionTree and RandomForest currently predict the most likely label for
classification and the mean for regression. Other info about predictions would
be useful.
For classification: estimated probability of each possible label
For regression: variance of estimate
RandomForest could also create aggregate predictions in multiple ways:
* Predict mean or median value for regression.
* Compute variance of estimates (across all trees) for both classification and
regression.
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