Problem 1 [4pts]-1pt per feature node be split if we are using K2 pre-pruning aproach at Given the data set fig. that is associated to a node in 0.05? on which feature? Consider only multi-outcome splits. (grading: 1pt per test) Tear Production Recommended Age Young Young Young Young Young Spectacle Prescription Astigmatism Rate Myope Myope Myope Myope Hypermetrope Contact Lens Reduced Normal Reduced Normal Reduced Normal Reduced Normal Reduced None Soft None Hard None Soft None Hard None Soft None Hard None Soft None None Nonc None Nonc Hard None Soft None No No Yes Young Young Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermctrope Presbyopic Myope Presbyopic Myope Presbyopic Myope Presbyopic Myope Presbyopic Hypermetrope Presbyopic Hypermctrope PresbyopicHypermetrope Presbyopic Hypermetrope Hypermetrope No Yes Yes No Reduced Normal Reduced Yes Reduced Normal Reduced Normal Reduced Normal Reduced Normal Reduced Normal No No No Yes Yes Figure 1: Lenses data set Problem 2 [5pts] Given the data set fig. the following troe (ig.Ewas constructed. [1pt Is this tree overfitted? if so explain why, if not give your argument why not. Apts l Can you tell if at 0.05 confidence level the node 'age INI,S-5,H-01, is useful or is this split unnecessary? Problem 1 [4pts]-1pt per feature node be split if we are using K2 pre-pruning aproach at Given the data set fig. that is associated to a node in 0.05? on which feature? Consider only multi-outcome splits. (grading: 1pt per test) Tear Production Recommended Age Young Young Young Young Young Spectacle Prescription Astigmatism Rate Myope Myope Myope Myope Hypermetrope Contact Lens Reduced Normal Reduced Normal Reduced Normal Reduced Normal Reduced None Soft None Hard None Soft None Hard None Soft None Hard None Soft None None Nonc None Nonc Hard None Soft None No No Yes Young Young Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Myope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermetrope Pre-presbyopic Hypermctrope Presbyopic Myope Presbyopic Myope Presbyopic Myope Presbyopic Myope Presbyopic Hypermetrope Presbyopic Hypermctrope PresbyopicHypermetrope Presbyopic Hypermetrope Hypermetrope No Yes Yes No Reduced Normal Reduced Yes Reduced Normal Reduced Normal Reduced Normal Reduced Normal Reduced Normal No No No Yes Yes Figure 1: Lenses data set Problem 2 [5pts] Given the data set fig. the following troe (ig.Ewas constructed. [1pt Is this tree overfitted? if so explain why, if not give your argument why not. Apts l Can you tell if at 0.05 confidence level the node 'age INI,S-5,H-01, is useful or is this split unnecessary