- CFA Exams
- CFA Level I Exam
- Study Session 3. Quantitative Methods (2)
- Reading 8. Big Data Projects
- Subject 4. Model Training
CFA Practice Question
Which statement regarding model training is FALSE?
A. The number of features may need to be reduced, but never to be increased to deal with high bias or variance errors.
B. Most machine learning algorithms work best when the number of samples in each class are about equal.
C. Higher the F-score, the better will be the predictive power of the classification procedure.
Explanation: A is false. In the case of high bias, the number of features may need to be increased.
B is true.
C is true. A score of 1 means the classification procedure is perfect. Lowest possible F-score is 0.
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