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Machine Learning Algorithms

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Questions and Answers

Which of the following algorithms is used for classification?

Decision tree (correct)

Principal Component Analysis (PCA)

K-means clustering

Apriori algorithm

Which algorithm is an unsupervised learning method?

Principal Component Analysis (PCA)

K-means clustering (correct)

Linear Regression

Decision tree

What is the primary purpose of Principal Component Analysis (PCA)?

Classification

Dimensionality reduction (correct)

Clustering

Feature selection

Which algorithm is used for association rule learning?

Apriori algorithm Signup and view all the answers

What type of learning algorithm is a decision tree?

Supervised Signup and view all the answers

Which algorithm is prone to overfitting in supervised learning?

Linear Regression Signup and view all the answers

Which algorithm is a type of unsupervised learning method?

K-means clustering Signup and view all the answers

Which algorithm is typically used for regression tasks?

Linear Regression Signup and view all the answers

Which algorithm is commonly used for binary classification tasks?

Logistic Regression Signup and view all the answers

Which algorithm is known for its ability to handle high-dimensional data?

Support Vector Machines (SVM) Signup and view all the answers

Study Notes

Supervised Learning Algorithms

Decision tree is a supervised learning algorithm.
Logistic Regression is a supervised learning algorithm prone to overfitting.
Support Vector Machines (SVM) is a supervised learning algorithm prone to overfitting.
Linear Regression is a supervised learning algorithm prone to overfitting.

Unsupervised Learning Algorithms

K-means clustering is an unsupervised learning algorithm.
Principal Component Analysis (PCA) is an unsupervised learning algorithm.
Apriori algorithm is an unsupervised learning algorithm.

Overfitting

Overfitting can occur in supervised learning algorithms.
Decision tree is not prone to overfitting.

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Description

Identify the supervised learning algorithm from the options. Supervised learning is a type of machine learning where the algorithm is trained on labeled data.