Method Cross validation

news_classify_tag.py

-import sys, os
+import os
 # from _mysql import OperationalError
-from pprint import pprint
+# from pprint import pprint
 import nltk
 import numpy as np
 import _mysql
@@ -10,8 +10,7 @@ import _mysql
 
 # noinspection PyUnresolvedReferences
 class Classifier:
-    def __init__(self, corpus=None, host='176.58.117.151', \
-                 user='esi', password='esi12345', db='esi', port=3306):
+    def __init__(self, corpus=None, host='176.58.117.151', user='esi', password='esi12345', db='esi', port=3306):
         try:
             # import nltk
             import operator
@@ -336,8 +335,15 @@ def cross_validation():
             print("\n#", str(i))
             print("\nNews title: " + title.decode('ascii', 'ignore'))
             print("Model calculated Accordance  :", end=" ")
-            print(set(rez_accordance))
-            print("User classified tags for news:", set(tags_in_article))
+            for item_tag in tags_classif.tags:
+                if int(item_tag[0]) in rez_accordance:
+                    print(item_tag[0], item_tag[1].decode('ascii', 'ignore'), end='; ')
+            print("\nUser classified tags for news: ", end="")
+            # print(set(rez_accordance))
+            for item_tag in tags_classif.tags:
+                if int(item_tag[0]) in tags_in_article:
+                    print(item_tag[0], item_tag[1].decode('ascii', 'ignore'), end='; ')
+
     print("\n\nThe Model was tasted on ", len(news_results), " news. ")
     print("The total result is:", total_score / len(news_results))
 
@@ -354,7 +360,7 @@ if __name__ == "__main__":
         tags_classif = Classifier(host='localhost', port=8080, user='root', password='password', db='news')
     # the method is not implicated
     tags_classif.teach_model()
-    tags_classif.save()
+    # tags_classif.save()
     # exit(0)
 
     cross_validation()