To detect multicollinearity in a dataset, one common method is to calculate the ___________ Inflation Factor (VIF).
- Validation
- Variable
- Variance
- Vector
The Variance Inflation Factor (VIF) is a measure used to detect multicollinearity. It quantifies how much a variable is inflating the standard errors due to its correlation with other variables. A high VIF indicates multicollinearity.
Loading...
Related Quiz
- You implemented L1 regularization to prevent overfitting, but the model's performance did not improve. What could be the reason, and what alternative approach would you try?
- What are the limitations of using the linear kernel in SVM, and how can other kernels overcome these limitations?
- How is the Logit function related to Logistic Regression?
- Imagine you have a model suffering from high bias. What changes would you make to the regularization techniques used?
- Why is centroid initialization important in K-Means clustering?