In a case study, SVM was used to classify emails as spam or not spam. What type

Practice Questions

Q1
In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?
  1. Unsupervised learning
  2. Reinforcement learning
  3. Supervised learning
  4. Semi-supervised learning

Questions & Step-by-Step Solutions

In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?
  • Step 1: Understand what SVM (Support Vector Machine) is. It is a type of algorithm used for classification tasks.
  • Step 2: Identify the task in the case study, which is to classify emails as spam or not spam.
  • Step 3: Recognize that in this task, the emails are labeled as either 'spam' or 'not spam'.
  • Step 4: Learn that when a model is trained on labeled data (data that has known outcomes), it is called supervised learning.
  • Step 5: Conclude that since the SVM is classifying emails based on labeled data, this is an example of supervised learning.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely