Question: Consider following household mower ownership data. The binary class attribute is owns a mower. Household Income (K) Lot Size (K sq ft) Class (Owns a
Consider following household mower ownership data. The binary class attribute is owns a mower.
| Household | Income (K) | Lot Size (K sq ft) | Class (Owns a Mower?) |
| 1 | 55 | 18 | No |
| 2 | 85 | 20 | Yes |
| 3 | 48 | 16 | No |
| 4 | 61 | 21 | No |
| 5 | 87 | 19 | No |
| 6 | 110 | 23 | Yes |
| 7 | 108 | 22 | Yes |
| 8 | 83 | 24 | Yes |
| 9 | 69 | 20 | No |
| 10 | 93 | 18 | Yes |
Use k-NN classifier to classify a new household with income 60K and lost size 20K sq ft. Use K=1 and K=3. Use min-max normalization and Euclidean distance.
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