Problem: Design and Build a Classifier
1. Design and build a binary classifier over the dataset. Explain your algorithm and its configuration. Explain your findings into both numerical and graphical representations. Evaluate the performance of the model and verify the accuracy and the effectiveness of your model.
2. Apply a multi-class classifier to classify data into ten classes (categories): one normal and nine attacks (e.g., Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnaissance, Shellcode and Worms). Briefly explain your model with supportive statements on its parameters, accuracy and effectiveness.