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it seems that this figure can be used to elaborates the perceptron model and SVM model:

enter image description here

Is it appropriate and clear to call this figure "two-feature classification"? Is this a canonical name?

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2 Answers 2

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It is a 2 feature classification model. The 2 features are x1 and x2. Essentially we are using these 2 features to draw a boundary on the data.

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  • $\begingroup$ thanks for your answer. would you please give more detail about the boundary? what is the definition? how to draw the boundary? $\endgroup$
    – Jay
    Jun 7, 2019 at 6:22
  • $\begingroup$ So if you see the points in plane we observe 2 colors blue and green. These are the classes or the y variable which we would use to classify the observations. The approach to classify based on the image would be perceptron. $\endgroup$ Jun 7, 2019 at 6:26
  • $\begingroup$ The working of perceptron can be found here towardsdatascience.com/what-the-hell-is-perceptron-626217814f53 $\endgroup$ Jun 7, 2019 at 6:27
  • $\begingroup$ thanks for your reply. the post you linked does talk about the boundary. $\endgroup$
    – Jay
    Jun 7, 2019 at 9:05
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The nomenclature I always find on academic books and papers is binary classification.

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    $\begingroup$ in "binary classification" the "binary" refers to the fact that the class being predicted can have only two values. The question is about having two features, not a binary class. $\endgroup$
    – Erwan
    Jun 7, 2019 at 15:38
  • $\begingroup$ The question was not clear enough, then $\endgroup$
    – Leevo
    Jun 7, 2019 at 15:41

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