Best and Worst Cases of Machine Learning Algorithms ?

KNN Algorithms :

Best Cases :

• If dimensionality (no of features) is low then this

works best.

• If you know the right distance measure then

KNN is a good option.

Worst Cases :

• If dimensionality (no of features) is low then this

works best.

• If you know the right distance measure then

KNN is a good option.

Naive Bayes Algorithm :

*Best Cases :*

• If the Conditional independence assumption of

naive Bayes is true …

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