[amp_mcq option1=”linear” option2=”nonlinear” option3=”categorical” option4=”symmetrical” correct=”option2″]<\/p>\n
The correct answer is: B. nonlinear<\/p>\n
Regression trees are a type of machine learning algorithm that can be used to model nonlinear relationships between variables. They are often used in cases where the relationship between the variables is not well-described by a linear model.<\/p>\n
Linear models are a type of statistical model that assumes that the relationship between the variables is linear. This means that the change in the dependent variable is proportional to the change in the independent variable.<\/p>\n
Nonlinear models are a type of statistical model that does not assume that the relationship between the variables is linear. This means that the change in the dependent variable may not be proportional to the change in the independent variable.<\/p>\n
Categorical data is data that can be classified into categories. For example, the data could be the gender of a person, which could be classified into the categories “male” and “female”.<\/p>\n
Symmetrical data is data that is the same when it is reflected across a central point. For example, the data could be the height of a person, which would be the same if the person was reflected across a vertical line.<\/p>\n
Regression trees are not typically used to model categorical or symmetrical data.<\/p>\n","protected":false},"excerpt":{"rendered":"
[amp_mcq option1=”linear” option2=”nonlinear” option3=”categorical” option4=”symmetrical” correct=”option2″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-56751","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n