[amp_mcq option1=”Single test” option2=”Two test” option3=”Sequence of test” option4=”No test” correct=”option3″]
The correct answer is C. Sequence of test.
A decision tree is a supervised learning algorithm that uses a tree-like structure to make predictions. The tree is built by splitting the data into smaller and smaller subsets until each subset contains only one class. The decision tree reaches its decision by following a sequence of tests, starting at the root node and moving down the tree until it reaches a leaf node. The leaf node contains the class that the decision tree predicts for the data point.
Option A is incorrect because a decision tree does not use a single test. It uses a sequence of tests.
Option B is incorrect because a decision tree does not use two tests. It uses a sequence of tests.
Option D is incorrect because a decision tree does use tests. It uses a sequence of tests.