In LDA, what is meant by the term "between-class variance"?
- Variance among different classes
- Variance among similar classes
- Variance between individual data points
- Variance within individual classes
"Between-class variance" in LDA refers to the "variance among different classes." It quantifies how separated the means of different classes are from each other. Maximizing this variance enhances class separation.
Loading...
Related Quiz
- A city is facing issues with traffic congestion and wants to use Machine Learning to manage traffic flow. What kind of data and algorithms would you suggest?
- Which algorithm is based on the principle that similar data points are likely to have similar output values?
- How do features in Machine Learning differ from targets, and why are both necessary?
- What is the difference between Gradient Boosting and AdaBoost?
- Explain how cross-validation can be used to mitigate the risk of overfitting.