Question

Which proportional reduction in error-based measure of association for nominal data uses marginals to reduce prediction errors?

Answer 1

Lambda  is the proportional reduction in error-based measure of association for nominal data uses marginals to reduce prediction errors.

According to the statement

we have to find and explain about the term which is used in the proportional reduction in error-based measure of association for nominal data uses marginals to reduce prediction errors.

So, For this purpose, we know that the

Lambda is the calculate the error rate, divide the value of Errors by the value of Invocations .

And

Lambda calculus is a formal system in mathematical logic for expressing computation based on function abstraction and application using variable binding.

It is the term used in the nominal data to calculate the errors.

Lambda is the always proportional reduction in error-based measure of association for nominal data.

So, from all this it is clear that the Lambda  is the proportional reduction in error-based measure of association for nominal data uses marginals to reduce prediction errors.

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