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Question: Which technique can be used to handle missing data in a dataset?Options: Feature scalingIm..
Question: Which of the following is a method for feature scaling?Options: One-hot encodingMin-Max sc..
Question: What is the main goal of dimensionality reduction?Options: To increase the number of featu..
Question: What is the purpose of cross-validation in model selection?Options: To increase the size o..
Question: Which of the following is NOT a common technique in feature selection?Options: Recursive F..
Question: What is feature engineering?Options: The process of selecting the best model for a dataset..
Question: What does a confusion matrix provide in model evaluation?Options: A summary of prediction ..
Question: Which evaluation metric is best for a model predicting customer churn?Options: Mean Square..
Question: What is the significance of the AUC in ROC analysis?Options: It measures the model\'s trai..
Question: What does the ROC curve represent in model evaluation?Options: Relationship between precis..
Question: Which evaluation metric is most appropriate for imbalanced classification problems?Options..
Question: Which evaluation metric is most appropriate for a model predicting rare events?Options: Ac..
Question: What is the main drawback of using accuracy as an evaluation metric?Options: It does not a..
Question: What does the area under the ROC curve (AUC) represent?Options: The probability that a ran..
Question: What is the main advantage of using cross-validation?Options: It increases the training da..
Question: Which metric is NOT typically used for evaluating regression models?Options: R-squaredMean..
Question: Which metric would you use to evaluate a model\'s performance on imbalanced datasets?Optio..
Question: What does AUC stand for in the context of ROC analysis?Options: Area Under the CurveAverag..
Question: In classification problems, what does the F1 Score represent?Options: The harmonic mean of..
Question: Which evaluation metric is best suited for regression tasks?Options: AccuracyF1 ScoreMean ..
Question: What does RMSE stand for in the context of evaluation metrics?Options: Root Mean Square Er..
Question: What does the term \'overfitting\' refer to in machine learning?Options: A model that perf..
Question: Which metric would you use to evaluate a model\'s performance in a multi-class classificat..
Question: What is the primary limitation of using accuracy as an evaluation metric?Options: It is no..
Question: What does the term \'confusion matrix\' refer to?Options: A matrix that shows the performa..
Question: In the context of classification, what does ROC stand for?Options: Receiver Operating Char..
Question: Which evaluation metric is most useful for a model predicting rare events?Options: Accurac..
Question: What is the main drawback of using accuracy as a performance metric?Options: It does not c..
Question: Which metric is most appropriate for evaluating a model\'s performance on a multi-class cl..
Question: What does precision indicate in a classification task?Options: The ratio of true positives..
