Interpretability in Data Mining?

Interpretability in Data Mining?

Models have a purpose, for example to precisely simulate or predict the behavior of a system. Among other qualities, interpretability (or comprehensibility or understandability) is often recalled, especially in contexts such as data mining / knowledge discovery from data.

What interpretability means?

Definitions of interpretable. adjective. capable of being understood. synonyms: explainable explicable. capable of being explicated or accounted for.

What is interpretability in deep learning?

Another one is: Interpretability is the degree to which a human can consistently predict the model's result 4. The higher the interpretability of a machine learning model, the easier it is for someone to comprehend why certain decisions or predictions have been made.

Sarah Jenkins
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Sarah Jenkins

Sarah Jenkins is a veteran tech journalist with over 12 years of experience covering artificial intelligence, mobile innovations, and digital ethics. Her insights have appeared in leading technology publications worldwide.