Machine Learning Prediction Modeling
The ML model was constructed using Azure Machine Learning Studio
(Microsoft Corporation). The data was split into an 80/20 distribution,
with 80% of data used to train the model, and the remaining 20% to
test performance.12,13{Bur, 2019 #1359;Bur, 2019
#1465} Various two-class decision models were explored for
development, including decision forest, decision jungle, boosted
decision tree, logistic regression, and neural network. The
specifications of the model were set on a parameter range in order to
grant the ML the most flexibility in model development. The outcome of
interest, primary treatment modality, was identified as the label.