Which machine learning models are more susceptible to the issue of feature redundancy?
- All of the above
- Decision Trees
- Linear Models
- Neural Networks
Linear models are more susceptible to the issue of feature redundancy as they assume independence among features. Redundant features violate this assumption and can cause problems.
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