KomFi. Academy

hard · CFA Level I Quantitative Methods

An analyst at Helion Rail is using a machine learning model to predict credit defaults.

If the model performs exceptionally well on the training data but fails to generalize to a separate test set, the model is likely suffering from:

  1. Underfitting.
  2. Unsupervised learning.
  3. Overfitting.

Sign up free to see the explanation and track your rank →

More CFA Level I Quantitative Methods practice

All Quantitative Methods questions · CFA Level I study guide · CFA Level I glossary · CFA Level I flashcards