Perceptron Challenge: A Practice Project

Once you finish the perceptron training, you have a new challenge to tackle - modifying the

perceptron code to classify a new data set. The information of the data set is listed in the following:

1. No.of classes: 2 (class 0 and 1)
2. No. of training data: 2000
3. No. of testing data: 400
4. No. of features: 3 (feature vector is in 3-dimensional space)
5. Files: training.txt, and testing.txt

Since the original perceptron is only for 2-dimensional data, you need to identify and modify all the dimension-related code to make it work. After you finishing the classification, visualize your training and testing data, and the decision boundary using Grapher in Mac laptop (see example). You can post your results once you finish the project, you can post your results onto the blogger. 

Please feel free to drop by Mr. Lin's office or lab for any questions.