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Question: What does RMSE stand for in evaluation metrics?Options: Root Mean Square ErrorRelative Mea..
Question: What is the main limitation of using accuracy as a performance metric?Options: It does not..
Question: What does a high precision value indicate in a classification model?Options: Most predicte..
Question: What is the primary purpose of using cross-validation in model evaluation?Options: To incr..
Question: In the context of regression, what does RMSE stand for?Options: Root Mean Squared ErrorRel..
Question: What is the main advantage of using F1 Score over accuracy?Options: It considers both prec..
Question: In the context of evaluation metrics, what does recall measure?Options: The ability of a m..
Question: In a case study, if a model\'s precision is 0.9 and recall is 0.6, what is the F1 score?Op..
Question: Which evaluation metric is best for multi-class classification problems?Options: AccuracyF..
Question: What does a high ROC AUC score indicate?Options: The model has a high false positive rate...
Question: In a regression case study, which metric would best evaluate the model\'s prediction error..
Question: Which metric would be most useful for evaluating a model in a highly imbalanced dataset?Op..
Question: In a case study, if a model has high precision but low recall, what does this indicate?Opt..
Question: Which metric would you use to evaluate a recommendation system\'s performance?Options: Mea..
Question: Which evaluation metric is best for measuring the performance of a clustering algorithm?Op..
Question: What does ROC AUC stand for in model evaluation?Options: Receiver Operating Characteristic..
Question: What does the F1 Score evaluate in a classification model?Options: The balance between pre..
Question: In the context of classification, what does precision measure?Options: The ratio of true p..
Question: What does a high value of R-squared indicate?Options: Poor model fitGood model fitHigh bia..
Question: What is the purpose of the Area Under the ROC Curve (AUC-ROC)?Options: To measure the accu..
Question: What does ROC stand for in the context of evaluation metrics?Options: Receiver Operating C..
Question: Which metric is best suited for imbalanced datasets?Options: AccuracyF1 ScoreMean Squared ..
Question: In a binary classification, what does a high recall indicate?Options: The model is good at..
Question: What is a common evaluation metric for models using Decision Trees and Random Forests?Opti..
Question: In which application would you likely use a Random Forest model?Options: To classify image..
Question: What is a limitation of Decision Trees in real-world applications?Options: They are not in..
Question: Which industry commonly uses Decision Trees for risk assessment?Options: HealthcareRetailI..
Question: What is a key advantage of using Random Forests for predicting customer churn?Options: The..
Question: What is the role of the \'max_depth\' parameter in Decision Trees?Options: To control the ..
Question: How does Random Forest reduce the risk of overfitting compared to a single Decision Tree?O..
