Question: Someone on your data science team recommends that you use decision trees, naive Bayes and K - nearest neighbor, all at the same time, on

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
Someone on your data science team recommends that you use decision

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