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Question: What is a common real-world application of feature engineering in finance?Options: Predict..
Question: Which of the following is an example of unsupervised learning in feature engineering?Optio..
Question: Which algorithm is commonly used for classification tasks?Options: Linear RegressionK-Near..
Question: What is the purpose of feature selection in model training?Options: To increase the number..
Question: In the context of supervised learning, what is the role of the target variable?Options: It..
Question: Which of the following techniques is NOT typically used in feature selection?Options: Recu..
Question: What is the main advantage of using ensemble methods?Options: They are simpler to implemen..
Question: Which of the following is a common method for feature extraction?Options: K-means Clusteri..
Question: What is a common pitfall in model selection?Options: Using too few featuresOverfitting the..
Question: In feature engineering, what does \'one-hot encoding\' achieve?Options: It reduces the dim..
Question: Which of the following is a technique for dimensionality reduction?Options: Support Vector..
Question: In the context of feature engineering, what does \'one-hot encoding\' achieve?Options: Red..
Question: What is the purpose of normalization in feature engineering?Options: To increase the range..
Question: Which method is commonly used for model selection in machine learning?Options: K-fold Cros..
Question: What does the term \'curse of dimensionality\' refer to?Options: The increase in computati..
Question: Which evaluation metric is particularly useful for ranking predictions?Options: AccuracyMe..
Question: What does a high AUC value in ROC analysis indicate?Options: Poor model performanceModel i..
Question: In a multi-class classification problem, which metric can be used to evaluate the model\'s..
Question: In the context of a confusion matrix, what does precision measure?Options: True positive r..
Question: What is the main limitation of using accuracy as a metric?Options: It does not account for..
Question: In which scenario would you prioritize recall over precision?Options: When false positives..
Question: Which metric is best for imbalanced datasets?Options: AccuracyF1 ScorePrecisionRecallCorre..
Question: Which evaluation metric is most appropriate for a regression model predicting house prices..
Question: Which metric would you use to evaluate a model\'s performance on imbalanced classes?Option..
Question: What is the main purpose of using cross-validation in model evaluation?Options: To increas..
Question: What does a high value of AUC-ROC indicate?Options: Poor model performanceModel is overfit..
Question: Which metric is used to evaluate the performance of a binary classification model?Options:..
Question: In classification tasks, what does precision measure?Options: True positives over total po..
Question: What is the purpose of the R-squared metric?Options: To measure the accuracy of classifica..
Question: Which evaluation metric is best for assessing the performance of a regression model?Option..
