QuestionQ43

ML – Data

A data scientist is carrying out unsupervised learning on financial records concerning earlier loan applications and is attempting to predict defaults on future loans. They report poor functional performance due to data issues.

Which ONE of the following is LEAST likely to be a contributory factor?

Explanation

Unsupervised learning identifies structure in unlabelled input data and does not rely on historical outcome labels such as whether loans were granted and repaid. Missing records, inconsistent preprocessing, and irrelevant account data can each reduce the quality and usefulness of the input data.

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