For questions 18-20, use the normalized dataset R using the interquartile range scaling factor. $2 t(r.)...

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For questions 18-20, use the normalized dataset R using the interquartile range scaling factor. $2 t(r.) L2 1 b? 0.000 2 ? f2 -0.50 0.333 1 0.667 f3 0.00 b? 4 1.118 TA 0.25 0.667 3 1.250 -0.75 -0.333 7 ? f6 b3? 0.25 0.000 8 1.054 ba? 7 0.750 18. Finish normalizing the dataset R using the interquartile range scaling factor. b = b3= fix= Tiz-Ha(f) IQR(fr) b = (10) 19. What does the (k = 3)-NN regression algorithm predicts a query instance q = (60,1) if Euclidean L distance is used on the normalized dataset in 18. Provide a brief explanation. kNN-regressor(q, R)= where R (r) (11) 20. What does the (p = 1) distance weighted (k = 3)-NN algorithm classifies a query instance q = (60, 1) if Euclidean L distance is used on the normalized dataset in 9. Provide a brief explanation. wit(r) 1 wkNN-regressor(q. R) - where w, (12) k d(r.g)P wi 1 Note that eqn (12) assumes that there is no case of d(r,q) = 0. For questions 18-20, use the normalized dataset R using the interquartile range scaling factor. $2 t(r.) L2 1 b? 0.000 2 ? f2 -0.50 0.333 1 0.667 f3 0.00 b? 4 1.118 TA 0.25 0.667 3 1.250 -0.75 -0.333 7 ? f6 b3? 0.25 0.000 8 1.054 ba? 7 0.750 18. Finish normalizing the dataset R using the interquartile range scaling factor. b = b3= fix= Tiz-Ha(f) IQR(fr) b = (10) 19. What does the (k = 3)-NN regression algorithm predicts a query instance q = (60,1) if Euclidean L distance is used on the normalized dataset in 18. Provide a brief explanation. kNN-regressor(q, R)= where R (r) (11) 20. What does the (p = 1) distance weighted (k = 3)-NN algorithm classifies a query instance q = (60, 1) if Euclidean L distance is used on the normalized dataset in 9. Provide a brief explanation. wit(r) 1 wkNN-regressor(q. R) - where w, (12) k d(r.g)P wi 1 Note that eqn (12) assumes that there is no case of d(r,q) = 0.