Assignment 3: code, plots

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diff --git a/Assignment 3/ex31.py b/Assignment 3/ex31.py
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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Oct 23 14:45:21 2015
+
+@author: Camil Staps, s4498062
+
+This is Python 2 code.
+"""
+
+import sys
+sys.path.insert(0, './packages')
+
+from scipy import io as sciio
+from sklearn import tree
+from sklearn.externals.six import StringIO
+import pydot
+
+# 3.1.1
+wine = sciio.loadmat('./Data/wine.mat')
+data = wine['X']
+clss = wine['y']
+classNames = [str(n[0][0]) for n in wine['classNames']]
+
+# 3.1.2
+clf = tree.DecisionTreeClassifier(min_samples_split=100, criterion='gini')
+clf = clf.fit(data, clss)
+
+dot_data = StringIO()
+tree.export_graphviz(clf, out_file=dot_data)
+graph = pydot.graph_from_dot_data(dot_data.getvalue())
+graph.write_pdf('./report/ex31_wine_tree.pdf') # (that would be nice, a wine tree)
+
+# 3.1.3
+new_data = [6.9, 1.09, 0.06, 2.1, 0.0061, 12, 31, 0.99, 3.5, 0.64, 12]
+print(classNames[clf.predict(new_data)[0]])
+
+# 3.1.4
+correct = 0
+for w, c in zip(data, clss):
+    if clf.predict(w)[0] == c:
+        correct = correct + 1
+print(str((100 * correct) / len(data)) + "% classified correctly.")