Perceptron-binary-classifier-

Perceptron supervised learning model for binary classification of HAM and spam email classification

Instructions to execute PART-2 : Perceptron .

1. make (This will compile the program)
2. java ProgPerceptron {TRAIN_HAM_DIR} {TRAIN_SPAM_DIR} {TEST_HAM_DIR} {TEST_SPAM_DIR} {stop_words.txt} {LEARNING_RATE} {ITERATIONS} (This will generate both the inorder and out-of-order output_file)
3. make clean (Optional : This will clean compiled .class files)

Example: java ProgPerceptron train/ham/ train/spam test/ham/ test/spam/ stopWords.txt 0.05 100

Output: Prints the accuracies using the stop words and without using stop words.