Calculate Best Quadratic Discriminant Analysis
Introduction & Importance
Quadratic discriminant analysis (QDA) is a classification method used in statistics and machine learning…
How to Use This Calculator
- Enter the means, variances, and prior probabilities of the two groups.
- Click the “Calculate” button.
- View the results and chart below.
Formula & Methodology
The quadratic discriminant function is given by…
Real-World Examples
Example 1: Iris Dataset
In the iris dataset, we can use QDA to classify…
Data & Statistics
| Group | Mean | Variance | Prior Probability |
|---|---|---|---|
| Setosa | 5.006 | 0.111 | 0.333 |
| Versicolor | 5.905 | 0.568 | 0.333 |
| Virginica | 6.850 | 0.274 | 0.333 |
Expert Tips
- QDA is sensitive to the scale of the predictors.
- It’s recommended to standardize the predictors before using QDA.
Interactive FAQ
What is the difference between LDA and QDA?
Linear discriminant analysis (LDA) assumes that the within-class covariance matrices are equal, while QDA does not…
Learn more about QDA from Statistics How To. Explore the iris dataset on Kaggle.