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This project implements a K-Nearest Neighbors (KNN) classifier to detect breast cancer using a dataset of tumor characteristics. The model is trained and evaluated based on accuracy, confusion matrix, and F1 score. It aims to assist in identifying malignant and benign tumors effectively.