Suppose we train a hard-margin linear SVM on n > 100 datapoints in R₂, yielding a hyperplane with exactly 2 support vectors.
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Recall that like terms are terms that have the same variable with the same exponent, and that all constants are like terms.
To solve the given equation for y, first, we add like terms:
Now, adding 1.6 to both sides of the equation, we get:
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