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What is KNN Classification about?

The document outlines the implementation of K-Nearest Neighbors (KNN) classification using the Iris dataset. It includes data loading, preprocessing, model training, and evaluation metrics such as accuracy, precision, recall, and F1-score, along with visualizations like confusion matrix and ROC curve. The KNN classifier is set to use 5 nearest neighbors for predictions.

Author

sudhaaass

Language

EN