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CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics

A Mumbai fintech trains a model by feeding it historical loan applications in which each record already carries an 'approved' or 'rejected' label, so the model learns to map applicant features to those labels. Which type of machine learning is this?

This is supervised learning. The model is trained on historical applications that already have approved or rejected labels, and it learns to map applicant features to those known outcomes. Unsupervised learning uses unlabelled data and reinforcement learning uses rewards, so neither describes this training method.

  1. ASupervised learningCorrect
  2. BUnsupervised learning
  3. CReinforcement learning
  4. DClustering without labels

Explanation

Training on records that already carry known outcome labels is supervised learning. Unsupervised learning works on unlabelled data to find structure, and reinforcement learning learns through rewards from actions in an environment. Here the labels guide the model, so only supervised learning fits.

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