The interpretability alone is sufficient and that the presence of explainability is not of fundamental importance.a.Trueb.False

The statement is addressing the relationship between interpretability and explainability in the context of understanding models or systems, often in fields like machine learning and data science.

Answer

b. False

Explanation

Interpretability and explainability are related but distinct concepts. While interpretability refers to how well a human can understand the cause of a decision made by a model, explainability refers to the degree to which an external observer can understand the internal workings of that model. Therefore, the presence of explainability enhances interpretability, but the two are not interchangeable. Hence, saying that interpretability alone is sufficient is false.