Link to the previous post : https://statinfer.com/204-5-3-practice-non-linear-decision-boundary/
In the previous post we just tried solving a non linear data using linear boundary. We can use multiple linear boundaries to separate classes in this kind of datasets.
However, this will cause some issues which we will understand but visualizing the problem and think about a possible solution too.
Non-Linear Decision Boundaries-Issue
Logistic Regression line doesn’t seem to be a good option when we have non-linear decision boundaries.
Non-Linear Decision Boundaries-Solution
|Intermediate Output1||Intermediate Output2|
|out(x)= \(g(\sum w_kx_k)\) say h1||out(x)= \(g(\sum w_kx_k)\) say h2|
The Intermediate output
- Using the x’s directly; predicting y is challenging.
- We can predict h, the intermediate output, which will indeed predict Y