COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Decision tree is a supervised learning
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Supervised learning cannot use cross-validation for training
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Supervised learning is a rule-based algorithm
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Supervised learning can be trained without labels
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Detailed explanation-1: -A decision tree is a supervised learning algorithm that is used for classification and regression modeling. Regression is a method used for predictive modeling, so these trees are used to either classify data or predict what will come next.
Detailed explanation-2: -Supervised learning is a process of providing input data as well as correct output data to the machine learning model. The aim of a supervised learning algorithm is to find a mapping function to map the input variable(x) with the output variable(y).
Detailed explanation-3: -Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems.
Detailed explanation-4: -Answer-A) PCA Is not supervised learning.