Hosted with streamlit user interface. Using KNN, this is a breast cancer classification model that differentiates between benign and malignant cases. KNN k values were tested ranging from k=1 to k=100, and k with highest accuracy was chosen (k=23).
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Hosted with streamlit user interface. Using KNN, this is a breast cancer classification model that differentiates between benign and malignant cases. KNN k values were tested ranging from k=1 to k=100, and k with highest accuracy was chosen (k=23).
emilyxietty/knn-breastcancer-ML
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Hosted with streamlit user interface. Using KNN, this is a breast cancer classification model that differentiates between benign and malignant cases. KNN k values were tested ranging from k=1 to k=100, and k with highest accuracy was chosen (k=23).
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