Create a 2D classification problem that you can visualize, where only a few outliers cause a Linear SVM to learn the wrong solution.

INSTRUCTIONS TO CANDIDATES

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Homework

1. Create a 2D classification problem that you can visualize, where only a few outliers cause a
Linear SVM to learn the wrong solution.

Linear SVM loss=∥w∥2+C⋅∑i=1nmax(1−wTx(i)⋅y(i))

2. Plot the boundy as learned by the scikit learn SVM class
3. Try to implement your own "Robust" Linear SVM loss function.
4. Show results of your Robust Linear SVM on the noisy traing data

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