Apply ANN in R or Python to the “IBM Employee Attrition V2” dataset in CANVAS to uncover the features that can predict employee attrition. This is a subset of a fictional data set created by IBM data scientists. Use every 5th record to create the test dataset and use the remaining records to create the training dataset. Do not normalize the data.
Hint:
(Use the “compute” function to score the test dataset
e.g net.score <- compute(your_ann, testdata))
