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One-vs-rest SVM

As motivation for the next and final chapter on support vector machines, we'll repeat the previous exercise with a non-linear SVM. Once again, the data is loaded into X_train, y_train, X_test, and y_test .

Instead of using LinearSVC, we'll now use scikit-learn's SVC object, which is a non-linear "kernel" SVM (much more on what this means in Chapter 4!). Again, your task is to create a plot of the binary classifier for class 1 vs. rest.

Cet exercice fait partie du cours

Linear Classifiers in Python

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Instructions

  • Fit an SVC called svm_class_1 to predict class 1 vs. other classes.
  • Plot this classifier.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# We'll use SVC instead of LinearSVC from now on
from sklearn.svm import SVC

# Create/plot the binary classifier (class 1 vs. rest)
svm_class_1 = ____
svm_class_1.fit(____)
plot_classifier(____)
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