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k-NN Classification of Breast Cancer Data by Avinash Kumar is a document available to read on EtoBox.
What is k-NN Classification of Breast Cancer Data about?
This document discusses using a k-nearest neighbors (k-NN) algorithm to classify breast cancer diagnoses as benign or malignant based on a dataset with 569 examples and 32 features for each example. It describes preprocessing the data by normalizing features, splitting the data into training and test sets, training a k-NN model on the training set, and evaluating the model by comparing its predictions on the test set to the known diagnoses.
- Author
- Avinash Kumar
- Language
- EN