The provided R code outlines the process of building, training, and evaluating a neural network model for predicting 5-year survival status based on patient characteristics such as age, year of procedure, and the number of lymph nodes. The model uses a single hidden layer with 6 neurons and applies a sigmoid activation function for binary classification.

try

This is an assignment from the BANA 7025 Data Wrangling class.

Here I have developed an Artificial Neural Network (ANN) model to predict the survival of patients who underwent surgery for breast cancer based on the Haberman’s Survival Data.

My first dashboard for the class.