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A non-parametric method of classification and regression. The input consists of the $k$ closest training examples in the feature space. The output is either the mode of the neighbors (in classification) or their mean (in regression).

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Test Accuracy same as Training Accuracy

I am building a prediction model using KNN. After experimenting the data using KFOLD Cross Validation technique, I've got the mean accuracy and applied them on the real model and it turns out that the …
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