From the course: Tableau and R for Analytics Projects
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Describe logistic regression algorithms
From the course: Tableau and R for Analytics Projects
Describe logistic regression algorithms
- [Instructor] Logistic regression is a supervised training algorithm that builds a model to distinguish between categories of information. Supervised means that you have a set of known results, for example, customers who donated last year versus those who didn't, and then you build a model to try to predict based on past data. Again, the goal is to separate entities into groups, and it is possible to perform logistic regression on more than two groups, but we'll stay with the base case. You train your model, and then test and evaluate it. Typically, you will divide your data into about 70% training and 30% test sets. And again, because you know the results in advance, you'll have a very good idea of how well your algorithm is performing.
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