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Can someone please explain this?


It's using the X and Y location of the dots as training data. Each algorithm is being trained on (x,y)->color in an attempt to buildup a rule for predicting what color an unseen (x,y) pair would be. The hypothesis it builds is then used to color the background so that you can see the decision boundary.




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