Doubt regarding Diabetes Classification Challenge(KNN)

I have achieved 78 percent accuracy in this challenge. What else can I do to increase the efficiency?

hey @abhaygarg2001 ,
With KNN it is the best you can achieve.
Else you can try some feature engineering techniques to further improve it.
But, it would be a max to 80 % not more than that.
TO achieve more , you need to work different other algorithms like random forest or ensemble learning.
They will help you to get score of around 90-95% in this challenge.

I hope this would have helped you.
Thank You :slightly_smiling_face:.

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