In a binary classification problem, what does a high value of the margin indicate?
Practice Questions
1 question
Q1
In a binary classification problem, what does a high value of the margin indicate?
The model is likely to overfit
The model has a high bias
The model is more robust to noise
The model is underfitting
A high value of the margin indicates that the model is more robust to noise and is likely to generalize better.
Questions & Step-by-step Solutions
1 item
Q
Q: In a binary classification problem, what does a high value of the margin indicate?
Solution: A high value of the margin indicates that the model is more robust to noise and is likely to generalize better.
Steps: 5
Step 1: Understand what a binary classification problem is. It means we are trying to classify data into two categories.
Step 2: Learn about the margin. The margin is the distance between the decision boundary (the line that separates the two categories) and the closest data points from either category.
Step 3: Recognize that a high margin means the decision boundary is far away from the closest data points.
Step 4: Realize that when the margin is high, the model is less likely to be affected by small changes or noise in the data.
Step 5: Conclude that a high margin suggests the model is more robust and can perform better on new, unseen data.
