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create a code for th wing 1 . 2 Finding the Optimal Value of K for KNN The choice of ' K ' in K
create a code for th wing
Finding the Optimal Value of for KNN
The choice of in KNearest Neighbors KNN significantly affects the model's ability to generalize well from the training data to unseen data. This task focuses on identifying the optimal K that achieves a balance between overfitting and underfitting.
Objective:
Implement a function to find and return the optimal K for a KNN model, evaluated on given training and testingvalidation data.
Requirements:
The function should be named findbestk
Parameters:
Xtrain : A D array of the training features.
ytrain : A D array of the training labels.
Xtest : A D array of the testingvalidation features.
ytest : A D array of the testingvalidation labels.
kmax : An integer representing the maximum value of to be considered in the search for the optimal K
Return:
The function should return two values:
bestk : An integer representing the optimal number of neighbors based on the evaluation.
besterrorrate: A float representing the lowest error rate achieved with the optimal
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