diff --git a/paddle/operators/precision_recall_op.cc b/paddle/operators/precision_recall_op.cc
index 24246907b1c44a38c962a96b2e0d7d3662e4a9eb..a3f4c07493d0f3bd91daa59ebc14c42e16d807e8 100644
--- a/paddle/operators/precision_recall_op.cc
+++ b/paddle/operators/precision_recall_op.cc
@@ -136,9 +136,9 @@ to compute various metrics including:
   - micro average recall
   - micro f1 score
 
-To compute the above metrics, we need to statistic counts for true positives,
+To compute the above metrics, we need to do statistics for true positives,
 false positives and false negatives. Here count of true negatives is not
-necessary, but statisticing it may provide potential usage and the cost is
+necessary, but counting it may provide potential usage and the cost is
 trivial, so the operator also provides count of true negatives.
 
 We define state as a 2-D tensor with shape [class number, 4]. Each row of a
diff --git a/paddle/operators/precision_recall_op.h b/paddle/operators/precision_recall_op.h
index 3bc638ea448c07f0f183257ab933b17e4021e219..2e49bc3bb5478c4dfc9cbcfa797f3b509ac4e5cd 100644
--- a/paddle/operators/precision_recall_op.h
+++ b/paddle/operators/precision_recall_op.h
@@ -42,8 +42,8 @@ class PrecisionRecallKernel : public framework::OpKernel<T> {
     const int* labels_data = in1->data<int>();
     const T* weights_data = in2 ? in2->data<T>() : nullptr;
     const T* states_data = in3 ? in3->data<T>() : nullptr;
-    T* batch_metrics_data = out0->mutable_data<T>(ctx.GetPlace());
-    T* accum_metrics_data = out1->mutable_data<T>(ctx.GetPlace());
+    double* batch_metrics_data = out0->mutable_data<double>(ctx.GetPlace());
+    double* accum_metrics_data = out1->mutable_data<double>(ctx.GetPlace());
     out2->mutable_data<T>(ctx.GetPlace());
     auto accum_states = EigenMatrix<T>::From(*out2);
     accum_states.setZero();
@@ -121,7 +121,7 @@ class PrecisionRecallKernel : public framework::OpKernel<T> {
   }
 
  protected:
-  void ComputeMetrics(const T* states_data, T* metrics_data,
+  void ComputeMetrics(const T* states_data, double* metrics_data,
                       size_t state_var_num, size_t class_dim) const {
     T total_tp_count = 0;
     T total_fp_count = 0;