Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.
In: Pro- ceedings of the AAAI conference on artificial intelligence
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Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection
Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.