Search
Question: Which model selection technique helps to prevent overfitting by penalizing complex models?..
Question: Which of the following is a common technique used in feature selection?Options: Principal ..
Question: Which of the following is a common method for encoding categorical variables?Options: Labe..
Question: What is the purpose of using regularization in model selection?Options: To increase model ..
Question: Which technique is used to handle missing values in a dataset?Options: Feature scalingImpu..
Question: What is the main goal of using cross-validation in model selection?Options: To increase th..
Question: Which of the following is a method for feature selection?Options: K-means clusteringRecurs..
Question: Which evaluation metric is best for imbalanced classification problems?Options: AccuracyF1..
Question: What is the purpose of model selection?Options: To improve the accuracy of a single modelT..
Question: Which of the following is NOT a common technique in feature engineering?Options: Normaliza..
Question: In evaluating clustering algorithms, which metric assesses the compactness of clusters?Opt..
Question: What does a high AUC (Area Under the Curve) value indicate in a ROC curve?Options: Poor mo..
Question: Which metric would you use to evaluate a recommendation system?Options: Mean Squared Error..
Question: Which evaluation metric is best for regression tasks?Options: AccuracyMean Absolute ErrorF..
Question: Which metric would be most appropriate for evaluating a model in a highly imbalanced datas..
Question: In the context of a confusion matrix, what does the term \'True Positive\' refer to?Option..
Question: Which metric would you use to evaluate a model that predicts whether an email is spam or n..
Question: What is the main limitation of using accuracy as an evaluation metric?Options: It does not..
Question: In which scenario is the F1 Score particularly useful?Options: When false positives are mo..
Question: What is the primary goal of using evaluation metrics in machine learning?Options: To impro..
Question: Which metric would you use to evaluate a regression model\'s performance that is sensitive..
Question: What does the term \'AUC\' stand for in the context of ROC analysis?Options: Area Under th..
Question: Which metric is used to evaluate the performance of a model in terms of its ability to dis..
Question: In classification tasks, what does the F1 Score represent?Options: The harmonic mean of pr..
Question: Which evaluation metric is best suited for regression problems?Options: AccuracyF1 ScoreMe..
Question: What does a high precision but low recall indicate?Options: The model is good at identifyi..
Question: Which metric would you use to evaluate a model\'s performance on a multi-class classificat..
Question: What is the purpose of the confusion matrix?Options: To visualize the performance of a cla..
Question: Which evaluation metric is most appropriate for a multi-class classification problem?Optio..
Question: Which metric is used to evaluate the performance of regression models?Options: Confusion M..
