diff --git a/01.fit_a_line/README.en.md b/01.fit_a_line/README.en.md
index ac43473538c124acbcdfc586c35b8a488e50d413..b7d60ec64a45c9e8e4781416aef4fb55512c3318 100644
--- a/01.fit_a_line/README.en.md
+++ b/01.fit_a_line/README.en.md
@@ -163,20 +163,19 @@ feeding={'x': 0, 'y': 1}
 Moreover, an event handler is provided to print the training progress:
 
 ```python
-lists = []
-
+# event_handler to print training and testing info
 def event_handler(event):
     if isinstance(event, paddle.event.EndIteration):
         if event.batch_id % 100 == 0:
-            print "Pass %d, Batch %d, Cost %f, %s" % (
-                event.pass_id, event.batch_id, event.cost, event.metrics)
+            print "Pass %d, Batch %d, Cost %f" % (
+                event.pass_id, event.batch_id, event.cost)
+
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.batch(
-            paddle.dataset.mnist.test(), batch_size=128))
-        print "Test with Pass %d, Cost %f, %s\n" % (
-            event.pass_id, result.cost, result.metrics)
-        lists.append((event.pass_id, result.cost,
-                      result.metrics['classification_error_evaluator']))
+        result = trainer.test(
+            reader=paddle.batch(
+                uci_housing.test(), batch_size=2),
+            feeding=feeding)
+        print "Test %d, Cost %f" % (event.pass_id, result.cost)
 ```
 
 ```python
diff --git a/01.fit_a_line/README.md b/01.fit_a_line/README.md
index 1b41aa4c67a71b71c408b9ec518229dd4d1c5484..5e7f6ee1d4f363857b66a0663f0570ca2df180c2 100644
--- a/01.fit_a_line/README.md
+++ b/01.fit_a_line/README.md
@@ -158,20 +158,19 @@ feeding={'x': 0, 'y': 1}
 此外，我们还可以提供一个 event handler，来打印训练的进度：
 
 ```python
-lists = []
-
+# event_handler to print training and testing info
 def event_handler(event):
     if isinstance(event, paddle.event.EndIteration):
         if event.batch_id % 100 == 0:
-            print "Pass %d, Batch %d, Cost %f, %s" % (
-                event.pass_id, event.batch_id, event.cost, event.metrics)
+            print "Pass %d, Batch %d, Cost %f" % (
+                event.pass_id, event.batch_id, event.cost)
+
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.batch(
-            paddle.dataset.mnist.test(), batch_size=128))
-        print "Test with Pass %d, Cost %f, %s\n" % (
-            event.pass_id, result.cost, result.metrics)
-        lists.append((event.pass_id, result.cost,
-                      result.metrics['classification_error_evaluator']))
+        result = trainer.test(
+            reader=paddle.batch(
+                uci_housing.test(), batch_size=2),
+            feeding=feeding)
+        print "Test %d, Cost %f" % (event.pass_id, result.cost)
 ```
 
 ```python
diff --git a/01.fit_a_line/index.en.html b/01.fit_a_line/index.en.html
index e5d0d47435cadaa0f51ab2ceebb848b7ca1086e0..954f90ceb0c02fe749016fef97a8305a91bbb54b 100644
--- a/01.fit_a_line/index.en.html
+++ b/01.fit_a_line/index.en.html
@@ -205,20 +205,19 @@ feeding={'x': 0, 'y': 1}
 Moreover, an event handler is provided to print the training progress:
 
 ```python
-lists = []
-
+# event_handler to print training and testing info
 def event_handler(event):
     if isinstance(event, paddle.event.EndIteration):
         if event.batch_id % 100 == 0:
-            print "Pass %d, Batch %d, Cost %f, %s" % (
-                event.pass_id, event.batch_id, event.cost, event.metrics)
+            print "Pass %d, Batch %d, Cost %f" % (
+                event.pass_id, event.batch_id, event.cost)
+
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.batch(
-            paddle.dataset.mnist.test(), batch_size=128))
-        print "Test with Pass %d, Cost %f, %s\n" % (
-            event.pass_id, result.cost, result.metrics)
-        lists.append((event.pass_id, result.cost,
-                      result.metrics['classification_error_evaluator']))
+        result = trainer.test(
+            reader=paddle.batch(
+                uci_housing.test(), batch_size=2),
+            feeding=feeding)
+        print "Test %d, Cost %f" % (event.pass_id, result.cost)
 ```
 
 ```python
diff --git a/01.fit_a_line/index.html b/01.fit_a_line/index.html
index 56cde19b6bdb439c1084a36e01405e3cfb6ea692..0046775767192ec67bda87b9e54103d2a24a60b8 100644
--- a/01.fit_a_line/index.html
+++ b/01.fit_a_line/index.html
@@ -200,20 +200,19 @@ feeding={'x': 0, 'y': 1}
 此外，我们还可以提供一个 event handler，来打印训练的进度：
 
 ```python
-lists = []
-
+# event_handler to print training and testing info
 def event_handler(event):
     if isinstance(event, paddle.event.EndIteration):
         if event.batch_id % 100 == 0:
-            print "Pass %d, Batch %d, Cost %f, %s" % (
-                event.pass_id, event.batch_id, event.cost, event.metrics)
+            print "Pass %d, Batch %d, Cost %f" % (
+                event.pass_id, event.batch_id, event.cost)
+
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.batch(
-            paddle.dataset.mnist.test(), batch_size=128))
-        print "Test with Pass %d, Cost %f, %s\n" % (
-            event.pass_id, result.cost, result.metrics)
-        lists.append((event.pass_id, result.cost,
-                      result.metrics['classification_error_evaluator']))
+        result = trainer.test(
+            reader=paddle.batch(
+                uci_housing.test(), batch_size=2),
+            feeding=feeding)
+        print "Test %d, Cost %f" % (event.pass_id, result.cost)
 ```
 
 ```python