10 Questions
Which of the following algorithms is used for classification?
Decision tree
Which algorithm is an unsupervised learning method?
K-means clustering
What is the primary purpose of Principal Component Analysis (PCA)?
Dimensionality reduction
Which algorithm is used for association rule learning?
Apriori algorithm
What type of learning algorithm is a decision tree?
Supervised
Which algorithm is prone to overfitting in supervised learning?
Linear Regression
Which algorithm is a type of unsupervised learning method?
K-means clustering
Which algorithm is typically used for regression tasks?
Linear Regression
Which algorithm is commonly used for binary classification tasks?
Logistic Regression
Which algorithm is known for its ability to handle high-dimensional data?
Support Vector Machines (SVM)
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.
Identify the supervised learning algorithm from the options. Supervised learning is a type of machine learning where the algorithm is trained on labeled data.
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