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Assignment-3 Explain Bayes theorem. Explain working of K nearest algorithm. List advantages and disadvantages of KNN. List any four applications of KNN. For the data
Assignment-3
- Explain Bayes theorem.
- Explain working of K nearest algorithm.
- List advantages and disadvantages of KNN.
- List any four applications of KNN.
- For the data set given find the output for the new instance = (Red, Suv, Domestic)
Sr | Colour | Type | Origin | Stolen |
1 | RED | SPORTS | DOMASTIC | YES |
2 | RED | SPORTS | DOMASTIC | NO |
3 | RED | SPORTS | DOMASTIC | YES |
4 | Yellow | SPORTS | DOMASTIC | NO |
5 | Yellow | SPORTS | IMPORTED | YES |
6 | Yellow | SUV | IMPORTED | NO |
7 | Yellow | SUV | IMPORTED | YES |
8 | Yellow | SUV | DOMASTIC | NO |
9 | RED | SUV | IMPORTED | NO |
10 | RED | SPORTS | IMPORTED | YES |
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