Join Keith McCormick for an in-depth discussion in this video Stepwise logistic regression, part of Machine Learning and AI Foundations: Classification Modeling.
- [Instructor] Okay, we're gonna try the stepwise method…on logistic regression.…Only discriminant analysis and logistic will have stepwise.…Now, that doesn't mean that they're the only algorithms…that choose variables for you,…but they're the only ones that use the stepwise approach.…So I'm gonna start with a larger pool of variables,…age, passenger class, embarked, sex,…sibling spouse, parent child, and fare.…
Let's see what the logistic had…to say about these variables.…It starts by picking the one…that has the best statistical significance.…Then it grabs another.…Then it grabs another.…Then it grabs another.…And at a certain point, there's no additional variables…that are statistically significant…at whatever threshold is set, usually .05.…Embarked was not picked up,…parent child was not picked up,…and fare was not picked up.…But all the others were.…
Note: These tutorials are focused on the theory and practical application of binary classification algorithms. No software is required to follow along with the course.
- Why do you need classification?
- Statistical algorithms versus machine learning algorithms
- Combining models using ensembles
- Classification modeling challenges
Skill Level Intermediate
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
Machine Learning and AI Foundations: Recommendationswith Adam Geitgey58m 7s Intermediate
1. The Big Picture: Defining Your Classification Strategy
2. How Do I Choose a "Winner"?
3. Algorithms on Parade
4. Common Modeling Challenges
Next steps3m 17s
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