Update fbeta_score.py

fbeta_score.py

@@ -64,8 +64,8 @@ Returns:
 Examples:    
     
     Example 1-A simple binary example    
-        >>> f_beta = evaluate.load("leslyarun/f_beta")
-        >>> results = f_beta.compute(references=[0, 1], predictions=[0, 1], beta=0.5)
+        >>> fbeta_score = evaluate.load("leslyarun/fbeta_score")
+        >>> results = fbeta_score.compute(references=[0, 1], predictions=[0, 1], beta=0.5)
         >>> print(results)
         {'f_beta_score': 1.0}    
 """