COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Linear Regression
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Decision Trees
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Isolation Forest
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Random Forests
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Detailed explanation-1: -Answer-A) PCA Is not supervised learning.
Detailed explanation-2: -Isolation forest is a machine learning algorithm for anomaly detection. It’s an unsupervised learning algorithm that identifies anomaly by isolating outliers in the data. Isolation Forest is based on the Decision Tree algorithm.
Detailed explanation-3: -It is important to mention that Isolation Forest is an unsupervised machine learning algorithm. Meaning, there is no actual “training” or “learning” involved in the process and there is no pre-determined labeling of “outlier” or “not-outlier” in the dataset.
Detailed explanation-4: -Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.