APPLICATION OF SUPERVISED LEARNING
SUPPORT VECTOR MACHINE SVM
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is SVM
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Support Vector Machine (SVM) is a supervised machine learning algorithm capable of performing classification, regression and even outlier detection
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Support Vector Machine (SVM) is a unsupervised machine learning algorithm capable of performing only classification
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, it is used for Classification problems in Machine Learning.
Detailed explanation-2: -SVM is a supervised machine learning algorithm that is commonly used for classification and regression challenges. Common applications of the SVM algorithm are Intrusion Detection System, Handwriting Recognition, Protein Structure Prediction, Detecting Steganography in digital images, etc.
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