mahesh147/kernel-svm

Implementation of the Gaussian RBF Kernel in Support Vector Machine model.

Kernel-SVM

Implementation of the Gaussian RBF Kernel in Support Vector Machine that classifies data non-linearly.

An object of the SVC class is created. The SVC class is imported using the sklearn.svm library.

A confusion matrix is created to check the number of accurate and inaccurate prediction the model made.

kernel-svm's Issues

NotFittedEror

After creating the SVM instance, it needs to be fitted to the training data before making predictions on the test set. Please correct me if I am wrong here.