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Question: What does a high precision indicate in a classification model?Options: A high number of tr..
Question: Which metric is used to evaluate the performance of a classification model that outputs pr..
Question: In the context of regression, what does R-squared indicate?Options: The proportion of vari..
Question: What does ROC AUC measure?Options: The area under the Receiver Operating Characteristic cu..
Question: In the context of evaluation metrics, what is a confusion matrix?Options: A table used to ..
Question: What does recall measure in a classification model?Options: The ratio of true positives to..
Question: What is a key feature of Random Forests that enhances their robustness?Options: Use of a s..
Question: In which industry are Random Forests commonly used for fraud detection?Options: Healthcare..
Question: What is a disadvantage of using Decision Trees in real-world applications?Options: They ar..
Question: Which evaluation metric is commonly used to assess the performance of Decision Trees in cl..
Question: How do Random Forests improve prediction accuracy?Options: By using a single Decision Tree..
Question: What is a typical use of Decision Trees in marketing?Options: Customer segmentationImage c..
Question: What is a key characteristic of ensemble methods like Random Forests?Options: They use a s..
Question: Which evaluation metric is commonly used for classification problems with Decision Trees?O..
Question: What is the maximum depth of a Decision Tree?Options: It is always fixed.It can be control..
Question: What is the main purpose of feature importance in Random Forests?Options: To reduce the nu..
Question: Which algorithm is typically faster for making predictions?Options: Decision TreesRandom F..
Question: What does the Gini impurity measure in a Decision Tree?Options: The accuracy of the model...
Question: What is a key characteristic of Random Forests compared to a single Decision Tree?Options:..
Question: Which of the following statements about Decision Trees is true?Options: They can only be u..
Question: In Random Forests, how are the individual trees trained?Options: On the entire dataset wit..
Question: What is the role of feature importance in Random Forest?Options: To determine the number o..
Question: In which scenario would you prefer using a Random Forest over a Decision Tree?Options: Whe..
Question: Which evaluation metric is commonly used for assessing the performance of a Decision Tree ..
Question: Which of the following is NOT a common criterion for splitting nodes in Decision Trees?Opt..
Question: How does Random Forest improve upon a single Decision Tree?Options: By using a single tree..
Question: What does the Gini impurity measure in Decision Trees?Options: The accuracy of the model.T..
Question: Which of the following scenarios is best suited for using Random Forests?Options: When int..
Question: What is the purpose of feature importance in Random Forests?Options: To reduce the number ..
Question: In Random Forests, how are individual trees typically trained?Options: On the entire datas..
