diff --git a/doc/ABTEST_IN_PADDLE_SERVING.md b/doc/ABTEST_IN_PADDLE_SERVING.md
index 09d13c12583ddfa0f1767cf46a309cac5ef86867..4582da6b42cd2117694af8ca3a5d8bcb921ad0a0 100644
--- a/doc/ABTEST_IN_PADDLE_SERVING.md
+++ b/doc/ABTEST_IN_PADDLE_SERVING.md
@@ -88,7 +88,7 @@ with open('processed.data') as f:
         cnt[tag]['total'] += 1
 
     for tag, data in cnt.items():
-        print('[{}](total: {}) acc: {}'.format(tag, data['total'], float(data['acc']) / float(data['total'])))
+        print('[{}]<total: {}> acc: {}'.format(tag, data['total'], float(data['acc']) / float(data['total'])))
 ```
 
 In the code, the function `client.add_variant(tag, clusters, variant_weight)` is to add a variant with label `tag` and flow weight `variant_weight`. In this example, a BOW variant with label of `bow` and flow weight of `10`, and an LSTM variant with label of `lstm` and a flow weight of `90` are added. The flow on the client side will be distributed to two variants according to the ratio of `10:90`.
@@ -98,8 +98,8 @@ When making prediction on the client side, if the parameter `need_variant_tag=Tr
 ### Expected Results
 Due to different network conditions, the results of each prediction may be slightly different.
 ``` python
-[lstm](total: 1867) acc: 0.490091055169
-[bow](total: 217) acc: 0.73732718894
+[lstm]<total: 1867> acc: 0.490091055169
+[bow]<total: 217> acc: 0.73732718894
 ```
 
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