Harmonic mean of precision and recall

Arithmetic mean of precision and recall

Geometric mean of precision and recall

Weighted average of accuracy and recall

True positive rate vs false positive rate

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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 421

A confusion matrix includes:

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Question 422

Precision is defined as:

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Question 423

Recall is defined as:

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Question 424

The F1 score is the:

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Question 425

Accuracy is misleading in imbalanced datasets because:

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Question 426

Feature selection in text data aims to:

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Question 427

Removing tokens with extremely low or high TF is:

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Question 428

Tokens with high mutual information values are typically:

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Question 429

Chi‑square feature selection is used to:

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Question 430

A major limitation of bag‑of‑words models is that they:

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Question 431

A key limitation of TF‑IDF is that it:

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Question 432

ROC curves plot:

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Question 433

A model with high training AUC but low validation AUC is:

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Question 434

Grid search is a method for:

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Question 435

Class imbalance most directly affects:

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Question 436

The primary purpose of Exploratory Data Analysis (EDA) is to:

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Question 437

Feature selection aims to:

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Question 438

Feature engineering aims to:

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Question 439

A heat map is most useful for visualizing:

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Question 440

A feature with extremely low variance is likely:

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Question 441

A feature that is constant for all observations:

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Question 442

One risk of excessive feature engineering is:

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Question 443

A feature strongly correlated with the target variable is:

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Question 444

A feature that leaks information from the future is:

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Question 445

A feature that is highly predictive but unstable across samples may cause:

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Question 446

The main purpose of EDA is to:

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Question 447

A categorical variable with only one category for all observations should be:

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Question 448

A feature that is difficult to interpret but improves accuracy is:

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Question 449

A feature that is highly predictive but extremely unstable across different samples is likely causing:

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Question 450

Clustering is best described as a method that:

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Free CFA Quantitative Methods Practice Questions & Answers

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