Across
- 5. This is the universal model format
- 7. The type of method used to capture non-linear relationships in data
- 9. Type of feature selection method which is the most robust and tries every possible combination
- 10. This is used for calculating the mutual information between two random variables
- 11. A matrix of eigenvectors which is used in PCA
- 12. One of the quantitative methods which measures the overall rank ordering of a variable with respect to the dependent variable
Down
- 1. The type of hyperparameter "Alpha"
- 2. Transformation of variables to the same scale
- 3. This file stores information about the variables like missing imputation, variable type etc
- 4. One of the benefits of variable reduction methods which helps in reducing this
- 6. This is the 4th row in attribute file
- 8. This method is a Greedy search approach which selects the combination of features that gives the optimal results maximizing the model performance
