prathimacode-hub / Breast-Cancer-Prediction

Well needed project to predict whether the breast cancer patient is suffering from benign or malignant. Secure place to clear out the confusion on breast cancer.πŸŽ€

Home Page:https://prathimacode-hub.github.io/Breast-Cancer-Prediction/

Repository from Github https://github.comprathimacode-hub/Breast-Cancer-PredictionRepository from Github https://github.comprathimacode-hub/Breast-Cancer-Prediction

BreastCancer_Prediction

This project predicts whether a patient who is suffering from breast cancer is benign or malignant. We have used Logistic Regression, Decision Tree Classifier, Random Forest Classifier and Support Vector Classifier to predict this case. Comparing the accuracy of these 4 models, we can see that Logistic Regression(97.07%) and Support Vector Classifier(95.32%) has highest accuracy.

Dataset

DATASET - "https://raw.githubusercontent.com/ingledarshan/AIML-B2/main/data.csv"

About

Well needed project to predict whether the breast cancer patient is suffering from benign or malignant. Secure place to clear out the confusion on breast cancer.πŸŽ€

https://prathimacode-hub.github.io/Breast-Cancer-Prediction/

License:MIT License


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