  The primary objective of this report is to determine what influences the
success rates of students who have studied in Colombia, analyzing the Saber 11,
the test done at the last school year, some socioeconomic aspects and comparing
the Saber Pro results with the national average. The problem this faces is to
find what influences success, but it also provides an insight in the countries
education dynamics and predicts one's opportunities to be prosperous. The
opposite situation to the one presented in this paper could be the desertion
levels, in the sense that by detecting what makes someone outstanding, these
factors can say what makes one unsuccessful. The solution proposed to solve
this problem was to implement a CART decision tree algorithm that helps to
predict the probability that a student has of scoring higher than the mean
value, based on different socioeconomic and academic factors, such as the
profession of the parents of the subject parents and the results obtained on
Saber 11. It was discovered that one of the most influential factors is the
score in the Saber 11, on the topic of Social Studies, and that the gender of
the subject is not as influential as it is usually portrayed as. The algorithm
designed provided significant insight into which factors most affect the
probability of success of any given person and if further pursued could be used
in many given situations such as deciding which subject in school should be
given more intensity to and academic curriculum in general.
