Importing the libraries

Importing the dataset

Splitting the dataset into the Training set and Test set

Feature Scaling

Applying Kernel PCA

Training the Logistic Regression model on the Training set

Making the Confusion Matrix

Visualising the Training set results

Visualising the Test set results