#!/usr/bin/python

""" 
    this is the code to accompany the Lesson 2 (SVM) mini-project

    use an SVM to identify emails from the Enron corpus by their authors
    
    Sara has label 0
    Chris has label 1

"""
    
import sys
from time import time
sys.path.append("../tools/")
from email_preprocess import preprocess


### features_train and features_test are the features for the training
### and testing datasets, respectively
### labels_train and labels_test are the corresponding item labels
features_train, features_test, labels_train, labels_test = preprocess()




#########################################################
### your code goes here ###
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
from sklearn.svm import SVC
clf = SVC(kernel="rbf", C = 10000)
t0 = time()
clf.fit(features_train, labels_train)
t1 = time()
pred = clf.predict(features_test)
print "prediction time:", round(time()-t1, 3), "s"
print("No. of Chris' emails:")
print(sum(pred))


from sklearn.metrics import accuracy_score
acc = accuracy_score(pred, labels_test)
print "accuracy:", acc

#########################################################


