What are the key considerations in feature selection for machine learning models in FP&A$?$ Select all that apply.

Identifying the most relevant input variables for the forecasting model

Ensuring that the selected features have a causal relationship with the target variable

Minimizing the number of features to reduce the model's complexity

Selecting features that are easily interpretable by stakeholders