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Question: Which of the following is NOT a common evaluation metric for classification models?Options..
Question: Which evaluation metric is best for a multi-class classification problem?Options: Accuracy..
Question: Which metric would be most appropriate for evaluating a regression model?Options: Accuracy..
Question: What is the significance of the confusion matrix in model evaluation?Options: It shows the..
Question: In a multi-class classification problem, which metric can be used to evaluate the performa..
Question: Which evaluation metric is best for assessing clustering algorithms?Options: AccuracySilho..
Question: What does ROC AUC measure in a classification model?Options: The area under the Receiver O..
Question: Which metric would be most appropriate for evaluating a model in an imbalanced classificat..
Question: In the context of regression, which metric measures the average squared difference between..
Question: Which evaluation metric is commonly used for binary classification problems?Options: Mean ..
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..
