SurvivorGen - Breast Cancer Survival Prediction Created a cutting-edge bioinformatics prototype leveraging omics data integration to forecast breast cancer survivability rates accurately. Employed exploratory data analysis to identify key features for predicting survivability and implemented a robust machine-learning model to train the tool.
It showed an accuracy of 92.6204% . 20% of the data was used for testing the model.
