Hands-On Deep Learning with R

Creating a model with Wisconsin cancer data

For this example, we will use the breast cancer dataset from the University of Wisconsin. Details on this dataset can be found at the UCI Machine Learning Repository at http://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28diagnostic%29.

1. The dataset can be loaded using the following lines of code:

library(tidyverse)wbdc <- readr::read_csv("http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data", col_names = FALSE)

2. After loading the data, we will encode the target variable by converting the column from a character column with two character values that indicate whether or not there were signs of malignancy to a numeric data type holding binary values. ...