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In what way a model changes when we do one iteration of the SFS algorithm?
The model validation error always improves
The number of features used in the model decreases
The size of the state space decreases
The length of the bit string decreases
The length of the bit string increases
The number of features used in the model increases
The size of the state space increases
The number of nearest neighbors increases
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