In the last tutorial, Decision Tree Analysis with Credit Data in R  Part 1, we learned how to create decisions trees using ctree(). This function is a recursive partitioning for continuous, censored, ordered, nominal and multivariate response variables in a conditional inference framework. C5.0 algorithm In this R tutorial, we…
Decision Trees
Are you trying to learn about the decision tree algorithm? Learn how to use decision trees with machine learning at RALGO Engineering Big Data.


R Data Analysis
Decision Tree Analysis with Credit Data in R  Part 1
by John Wingateby John WingateIn this R tutorial, we will review credit scoring of mortgage loans and the criteria that cause an applicant to be rejected. This will be the review of each applicant and review the percentage of the applications that were approved but should have been rejected. The risk of loaning mortgages inquires…

Machine learning algorithms can be incredibly complicated. They often take months of work and many pages of textbook reading in order to understand. These algorithms utilize statistical analysis to produce reams of output that can change substantially over time. However, not all machine learning algorithms are this complicated. Some are…