Description
Task Description In this problem you are asked to write a program that construct support vector machine models with different kernel functions and slack variable. An svm.ipynb file is provided, where you have to implement the missing functions.
Dasets You are provided the training and testing datset (see train.txt and test.txt), including 120 training da and 30 testing da, respectively. It covers 3 classes, corresponding to setosa, versicolor, virginica. They are derived from the Iris daset (https://archive.ics.uci.edu/ml/dasets/ iris), conins 3 classes of 50 insnces each, where each class refers to a type of iris plant. Your sk is to classify each iris plant as one of the three possible types.
What you should do
