4. (Note: this is a hand computing question). Given the following dataset of Height in centimeters...

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4. (Note: this is a hand computing question). Given the following dataset of Height in centimeters and Weight in kilograms: Name Clarissa Maurice Jean Mary Xien Jeff Ana Betsy Rachid Weight 51 Name Paul 62 69 64 65 56 58 57 55 Weight 57 Height 170 182 176 173 172 174 b. (10pts) Repeat a. with k-5. 173 169 170 Recall Manhattan distance is D(A, B)= x1-x2|+|y-y2| if A=(x,y) and B=(x2y2) a. (40pts) Using KNN algorithm with k-3 and Manhattan distance predict the class of Paul with the following characteristics: Class Underweight Normal Height 170 Normal Normal Normal Underweight Underweight Normal Normal Class ? 4. (Note: this is a hand computing question). Given the following dataset of Height in centimeters and Weight in kilograms: Name Clarissa Maurice Jean Mary Xien Jeff Ana Betsy Rachid Weight 51 Name Paul 62 69 64 65 56 58 57 55 Weight 57 Height 170 182 176 173 172 174 b. (10pts) Repeat a. with k-5. 173 169 170 Recall Manhattan distance is D(A, B)= x1-x2|+|y-y2| if A=(x,y) and B=(x2y2) a. (40pts) Using KNN algorithm with k-3 and Manhattan distance predict the class of Paul with the following characteristics: Class Underweight Normal Height 170 Normal Normal Normal Underweight Underweight Normal Normal Class ?

Answer rating: 100% (QA)

To predict the class of Paul using the kNN algorithm with k3 and Manhattan distance we need to calcu... View the full answer