KNN Algorithm in Machine Learning | Choose the Factor K #shorts #machinelearning

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Now, there is a factor K on the basis of which we do
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all the predictions in KN algorithm. So it's very important to choose the right value of K
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How let's understand this with this example. Consider this question mark is the new variable
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Now, we have to predict whether this belongs to the rectangle category
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or triangle category. So if I consider the value of K as 3
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when there are two rectangles in one triangle, so in this case
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it will belong to the rectangle category and if I consider the value of K as 7
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then there are three rectangles and four triangles. That means in this case
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it will belong to the triangle category. I hope now you are able to understand
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why choosing the right value of K is so important and the process of choosing the right value of K
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is called parameter tuning

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KNN Algorithm in Machine Learning | Choose the Factor K #shorts #machinelearning

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