July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Binary logistic regression assumptions
Here are some assumptions that are made for a binary logistic regression classification task:
- The dependent variable should be dichotomous, representing mutually exclusive states. There is more than one independent predictor variable.
- Correlations between predictor variables are represented by the elements of a correlation matrix. They can be no higher than 0.9.
- Outliers must be absent. Outlier presence or absence can be determined by transforming predictors into standardized statistical scores.
The only dataset that is relevant to us in this chapter is the breast cancer dataset. This is a classification task whose analysis solution will be a binary logistic regression. Before we get to that, we will ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.