Join Keith McCormick for an in-depth discussion in this video Gains tables, part of Machine Learning and AI Foundations: Classification Modeling.
- [Instructor] Okay, let's talk about the concept…of a gains table,…another way of assessing if your model has been…doing a good job.…Now, all of you should be able to generate…this gains table sometimes, software will make it…really easy for you as a feature,…as part of a software.…But all you really need is the probabilities…and you can do deciles or you can do quintiles if you want.…I have done deciles here.…And we're looking at the different probabilities…within those deciles.…
So first let me note…that we've got a total sample size of 714.…I've used the technique that throws out missing values.…I have just a handful that's been discarded…and I have all of my data.…Not just train or test but all of it.…You may wanna generate a separate gains table…for the train data as well as the test data.…But this one has it all.…And now, take a look.…I've got an overall probability of 0.41,…if I round up.…
And this is a survival rate because this is the…titanic data set.…So I have an overall survival among these 714 cases of 41%.…
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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