Question 2 1 pts Consider creating new features from existing data: Let the original variables be X,,X9,.... Leta new feature Z be Z = X? - X?, Which of the following statements is true? [_) New features make the model more reliable. [_) New features must be independent of the original variables to be useful. (_) Alinear model built on the new features can recognise a circle pattern in the original data space, which cannot be effectively captured by linear models on the original features. [_) New features can add more information than the original variables, i.e. the information Entropy(Z|X1, X2,...) #0 [ } New features always lead to better model performance because they increase the dimensionality of the data. (_) New features can help improve model performance by transforming the data, but they do not introduce new information beyond what is already present in _X 1, X9