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Free CFA Quantitative Methods Practice Questions & Answers

1,200 exam-style Quantitative Methods questions. Pick your answer, hit Check answer, and see the worked solution — free to start, no signup.

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Question 391
Adjusted (R^2) is used instead of (R^2) because:
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Question 392
A model that fits the historical data extremely well but performs poorly on new data is likely:
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Question 393
A predicted probability from a logistic regression of 0.8 for default means:
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Question 394
Supervised learning involves:
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Question 395
Overfitting in machine learning means:
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Question 396
A common way to check for overfitting is to:
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Question 397
Penalized regression methods (like Lasso or Ridge) are used to:
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Question 398
A decision tree model:
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Question 399
A random forest is:
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Question 400
In supervised learning, a “training set” is:
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Question 401
A “test set” is used to:
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Question 402
Cross-validation is a technique to:
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Question 403
A neural network consists of:
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Question 404
Deep learning refers to neural networks with:
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Question 405
Feature selection aims to:
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Question 406
If two independent variables are uncorrelated, this means:
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Question 407
A model with too many variables may show:
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Question 408
A model with too few variables may show:
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Question 409
A model that fits the training data extremely well but fails on new data is:
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Question 410
A key difference between supervised and unsupervised learning is:
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Question 411
A model that memorizes training data but fails on new data is:
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Question 412
A validation set is used to:
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Question 413
A test set is used to:
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Question 414
Regularization methods help reduce:
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Question 415
A decision tree may overfit because:
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Question 416
A random forest reduces overfitting by:
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Question 417
Feature engineering involves:
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Question 418
ARCH behavior implies that variance is:
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Question 419
Very common words are removed because they:
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Question 420
Very rare words are often removed because they:
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