Dimensionality Reduction Calculator
Determine how many principal components to retain based on eigenvalues and target explained variance. Includes scree plot data, Kaiser criterion, and cumulative variance analysis.
Inputs
Results
Components to Keep
4
Variance Explained
95%
How to Use This Calculator
- Enter the number of original features and target number of components.
- Set the minimum explained variance threshold (e.g., 95%).
- Review the number of components needed to reach your variance threshold.
- Plot the scree plot to identify the elbow and confirm the component count.
- Use the selected components as input features for downstream modeling.
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