[amp_mcq option1=”classifiers which form a tree with each attribute at one level” option2=”classifiers which perform series of condition checking with one attribute at a time” option3=”both options except none” option4=”not possible” correct=”option3″]<\/p>\n
The correct answer is: C. both options except none<\/strong><\/p>\n Tree-based classifiers are a type of supervised machine learning algorithm that can be used to classify data. They work by creating a tree-like structure, where each node in the tree represents a decision that needs to be made to classify an instance. The leaves of the tree represent the possible classes that an instance can belong to.<\/p>\n To classify an instance, the tree is traversed from the root node to a leaf node, following the decisions made at each node. The class associated with the leaf node is then assigned to the instance.<\/p>\n Tree-based classifiers are often used for classification tasks where the data is not well-structured or where there are a large number of possible classes. They are also relatively easy to interpret, which can be helpful in understanding how the algorithm is making its decisions.<\/p>\n Here is a more detailed explanation of each option:<\/p>\n This is a correct description of tree-based classifiers. The tree-like structure of a tree-based classifier is created by recursively splitting the data into smaller and smaller subsets. Each split is made on the basis of a single attribute, and the leaves of the tree represent the possible classes that an instance can belong to.<\/p>\n This is also a correct description of tree-based classifiers. The decision-making process in a tree-based classifier can be thought of as a series of condition checks, where each condition check is based on a single attribute. The instance is then assigned to the class that is associated with the leaf node that is reached at the end of the decision-making process.<\/p>\n This is the correct answer. Tree-based classifiers are both classifiers which form a tree with each attribute at one level and classifiers which perform series of condition checking with one attribute at a time.<\/p>\n This is an incorrect answer. Tree-based classifiers are both classifiers which form a tree with each attribute at one level and classifiers which perform series of condition checking with one attribute at a time.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”classifiers which form a tree with each attribute at one level” option2=”classifiers which perform series of condition checking with one attribute at a time” option3=”both options except none” option4=”not possible” correct=”option3″]<\/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-44369","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n\n
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