Someone on your data science team recommends that you use decision trees, naive Bayes and K$-$nearest neighbor, all at the same time, on the same training data, and then average the results. What is this an example of$?$

a$.$ high$-$variance modeling

b$.$ unsupervised learning

c$.$ ensemble modeling

d$.$ regression analysis