Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
sklearn.svm import SVC #....Defining the independent & dependent variable y = df['Virus Present'] X = df.drop('Virus Present',axis=1) We are generalizing a function which will helps us to visualize the hyperplane in 3D space. We will just input the kernels one by one & visualize the the hyperplane.