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https://github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning

Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.
https://github.com/vkasojhaa/Clinical-Decision-Support-using-Machine-Learning

binary-classification breast-cancer breast-cancer-prediction machine-learning manipal manipal-institute wisconsin

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Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.

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README

        

# Readme

In this project a, performance comparison between different machine learning algorithms: Linear Regression, Random Forest, SVM, k-NN and Artificial Neural-Net on the Wisconsin Breast Cancer datasets is done. We have to predict the Stage of Breast Cancer - M (Malignant) and B (Bengin). The main objective is to assess the
correctness in classifying data with respect to accuracy and efficiency of each algorithm.

Jupyter Notebook : [Breast_Cancer_Prediction.ipynb)](/Breast_Cancer_Prediction.ipynb)

Jupyter Notebook (ANN implementation): [Neural_Net_Breast_Cancer.ipynb)](/Neural_Net_Breast_Cancer.ipynb)




Results


This work is a part of my Minor Project under Mr. Arvind Kumar Pal, Assistant Professor, Manipal University Jaipur

If you have any queries or suggestions you can mail me: [email protected]