Theodore Vasiloudis created FLINK-2267:
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Summary: Support multi-class scoring for binary classification
scores
Key: FLINK-2267
URL: https://issues.apache.org/jira/browse/FLINK-2267
Project: Flink
Issue Type: New Feature
Components: Machine Learning Library
Reporter: Theodore Vasiloudis
Priority: Minor
Some scores like accuracy, recall and F-score are designed for binary
classification.
They can be used to evaluate multi-class problems as well by using micro or
macro averaging techniques.
This ticket is about creating such an option, allowing our binary
classification metrics to be used in multi-class problems.
You can check out [sklearn's user
guide|http://scikit-learn.org/stable/modules/model_evaluation.html#multiclass-and-multilabel-classification]
for more info.
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