diff --git a/sefr/sefr.py b/sefr/sefr.py
index 6044113..ec97295 100644
--- a/sefr/sefr.py
+++ b/sefr/sefr.py
@@ -41,7 +41,7 @@ def fit(self, train_predictors, train_target):
 
         # weights are calculated based on Eq. 3 and Eq. 4
 
-        self.weights = (avg_pos - avg_neg) / (avg_pos + avg_neg)  # Eq. 5
+        self.weights = (avg_pos - avg_neg) / (avg_pos + avg_neg + 0.0000001)  # Eq. 5
 
 
         # For each record, a score is calculated. If the record is positive/negative, the score will be added to posscore/negscore
diff --git a/setup.py b/setup.py
index aaa6c8d..ce09fe7 100644
--- a/setup.py
+++ b/setup.py
@@ -3,13 +3,13 @@
 setup(
   name = 'sefr',
   packages = ['sefr'],
-  version = '1.0.1',
+  version = '1.0.2',
   license='MIT',
   description = 'A Fast Linear-Time Classifier for Ultra-Low Power Devices',
   author = 'Simone Salerno',
   author_email = 'eloquentarduino@gmail.com',
   url = 'https://github.com/eloquentarduino/sefr',
-  download_url = 'https://github.com/eloquentarduino/sefr/archive/v_101.tar.gz',
+  download_url = 'https://github.com/eloquentarduino/sefr/archive/v_102.tar.gz',
   keywords = [
     'ML',
     'microcontrollers',