- CFA Exams
- CFA Level I Exam
- Study Session 3. Quantitative Methods (2)
- Reading 7. Machine Learning
- Subject 2. Overview of Evaluating ML Algorithm Performance
CFA Practice Question
In exhibit 5 of the Reading 7 (Machine Learning: Accuracy in Validation and Training Samples vs. Training Sample Size), the training accuracy rate and the validation accurancy rate ______ when there is a high variance error.
A. converge below the desired accuracy rate
B. converge toward the desired accuracy rate
C. don't converge at all
Explanation: The learning problem itself is basically a trade-off between bias and variance. The variance error measures how the predictor varies each time with a new training datasets.
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