If a team has no dev set and no evaluation metric, how do they judge whether a new classifier is better?

A single validation score can help a team quickly tell whether a new model idea gives a small gain or a large gain.

A development set and metric help a team decide which ideas to keep _____ and which to drop.

Match each evaluation setup with its practical consequence when comparing classifier versions.

Order the actions a team should take when no dev set or metric exists for a new classifier.

What practical advantage do a development set and an evaluation metric give a machine learning team?

Manually trying every new classifier by using the app is usually a fast way to evaluate model improvements.

When there is no dev set or metric, each new classifier has to be _____ into the product before the team can judge whether it is better.

Match each evaluation concept to its role in comparing classifier versions.

Using a dev set to compare a new classifier idea

Why a Validation Metric Beats Ad Hoc Product Testing

Evaluating New Versions of a Parcel Sorting Classifier

How Evaluation Data Changes Model Selection