Note

Garbage in garbae out. It is the features that

What is involved:

Want to assess the usefulness of chosen features

Measuring feature importance: 

Quantifying the contribution of each feature to the model’s predictions. This can be done through various methods like statistical tests, model-specific importance scores, or permutation importance.

Analysing feature relationships: 

Investigating correlations and redundancy,

Assessing feature impact on model performance: 

Example:

When are we done:

  • **Reaching a stable and satisfactory model performance
  • **No further room for improvement
  • **Understanding the model’s decision-making process