What is the primary goal of machine learning?

Which of the following is NOT a type of machine learning?

What does the bias-variance trade-off refer to in machine learning?

Which framework is used to formalize the statistical learning process?

Which metric is commonly used to select splits in decision tree learning?

What is the main inductive bias of decision tree algorithms?

Which algorithm uses the Gini impurity measure for splitting?

Which of the following is NOT an issue in decision tree learning?

What is the main assumption of the Naive Bayes model?

Which theorem is the foundation of Bayesian learning?

What is the output of a Bayes optimal classifier?

Which of the following is a Bayesian network?

What is the purpose of bagging in ensemble methods?

Which technique is used to handle imbalanced datasets?

What is the main idea behind the k-nearest neighbors (KNN) algorithm?

Which of the following is a parametric method?

Which algorithm partitions data into k clusters by minimizing within-cluster variance?

What is the 'elbow method' used for in clustering?

Which clustering algorithm does NOT require specifying the number of clusters in advance?

What is the difference between hard and soft clustering?

What is the 'No Free Lunch' theorem in machine learning?

Which component is essential in reinforcement learning?

What does temporal difference (TD) learning combine?

Which of the following is NOT a reinforcement learning method?