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.

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