Hands-On Machine Learning for Cybersecurity

One-versus-rest

The one-versus-rest form of multiclass classifier involves training a single class with positive samples, and labeling all other classes as negative. This method requires that the base class produces a confidence with real value, as we see in binary classification where a class label is produced. The following graph displays the results of this classification style:

The base classifier here is logistic regression, as shown in the following code:

l_regress = LogisticRegression(maxIter=10, regParam=0.001, elasticNetParam=0, tol=1E-6, fitIntercept=True )

We then train using the one-versus-rest classifier, as shown in the following ...