Decision Trees can be used to to solve ________.Answer choicesSelect only one optionREVISITRegression problemsClassification problemsRegression as well as Classification problemsNeither Regression nor Classification problems

Which of these is a potential limitation of using Decision Trees?Answer choicesSelect only one optionREVISITThey are computationally very expensive and slow to trainThey can easily overfit and won't always produce the best results when asked to generalizeThey are very unsuitable for regression tasksThey can only handle small datasets

Decision trees is an example for

Machine learning approaches can be traditionally categorized into ______ categoriesAnswer choicesSelect only one optionREVISIT5346

Decision trees where the target variable can take continuous values (typically real numbers) are calledSelect one:a. Regression treesb. Classification trees

Tree models where the target variable can take a discrete set of values are called —--------.Select one:a. Regression treesb. Classification trees