Question

The machine learning model associated with supervised learning is:

• A. Support vector machine
• B. K-mean clustering
• C. Principle Component analysis
• D. Independent Component analysis

Hint:

Support vector machine (SVM) is widely used in supervised learning for classification and regression tasks.

Answer 1

The Correct Option is A

Step 1: Understanding Supervised Learning 
Supervised learning involves training a model on labeled data, where the model learns to map input features to target labels. 
Step 2: Evaluating the Options 
- Support vector machine (SVM): Correct, SVM is a supervised learning algorithm used for classification and regression tasks. 
- K-mean clustering: Incorrect, K-means is an unsupervised learning algorithm used for clustering. 
- Principal Component analysis (PCA): Incorrect, PCA is an unsupervised dimensionality reduction technique. 
- Independent Component analysis (ICA): Incorrect, ICA is an unsupervised technique used for separating mixed signals. 
Step 3: Conclusion 
Support vector machine is a supervised learning model.