CRYPTOcoderAS/Breast-Cancer-Detection-ML-Project
Breast Cancer Detection using ML
Implements XGBoost classification on the Wisconsin Breast Cancer Dataset with feature scaling and train-test validation to distinguish between malignant and benign tumors. The pipeline includes exploratory data analysis, preprocessing, model training, and performance evaluation metrics (accuracy, precision, recall). Designed as a standalone ML application without external API dependencies, making it suitable for local deployment and educational purposes.
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Jul 22, 2021
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