diff --git a/README.md b/README.md
index b05655f52..b1dee9fdd 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 xgboost: eXtreme Gradient Boosting 
 =======
-An efficient general purpose gradient boosting (tree) library.
+A General purpose gradient boosting (tree) library.
 
 Creater: Tianqi Chen
 
@@ -32,8 +32,9 @@ Planned components
     - matrix factorization
     - structured prediction
 
-File extension convention: 
-(1) .h are interface, utils and data structures, with detailed comment; 
-(2) .cpp are implementations that will be compiled, with less comment; 
-(3) .hpp are implementations that will be included by .cpp, with less comment
+File extension convention
+=======
+* .h are interface, utils and data structures, with detailed comment; 
+* .cpp are implementations that will be compiled, with less comment; 
+* .hpp are implementations that will be included by .cpp, with less comment
 
diff --git a/demo/binary_classification/README b/demo/binary_classification/README
index 64ef214df..86cd68992 100644
--- a/demo/binary_classification/README
+++ b/demo/binary_classification/README
@@ -9,3 +9,5 @@ Format of featmap.txt:
 
 q means continuous quantities, i means indicator features.
 Feature id must be from 0 to num_features, in sorted order.
+
+Detailed explaination: https://github.com/tqchen/xgboost/wiki/Binary-Classification
diff --git a/demo/binary_classification/runexp.sh b/demo/binary_classification/runexp.sh
index bd4354104..68c3e6fb9 100755
--- a/demo/binary_classification/runexp.sh
+++ b/demo/binary_classification/runexp.sh
@@ -6,9 +6,10 @@ python mknfold.py agaricus.txt 1
 # training and output the models
 ../../xgboost mushroom.conf
 # output prediction task=pred 
-../../xgboost mushroom.conf task=pred model_in=0003.model
-# print the boosters of 00003.model in dump.raw.txt
-../../xgboost mushroom.conf task=dump model_in=0003.model name_dump=dump.raw.txt 
+../../xgboost mushroom.conf task=pred model_in=0002.model
+# print the boosters of 00002.model in dump.raw.txt
+../../xgboost mushroom.conf task=dump model_in=0002.model name_dump=dump.raw.txt 
 # use the feature map in printing for better visualization
-../../xgboost mushroom.conf task=dump model_in=0003.model fmap=featmap.txt name_dump=dump.nice.txt
+../../xgboost mushroom.conf task=dump model_in=0002.model fmap=featmap.txt name_dump=dump.nice.txt
 cat dump.nice.txt
+
diff --git a/regression/xgboost_reg_main.cpp b/regression/xgboost_reg_main.cpp
index f8180ccc9..9d43c22fb 100644
--- a/regression/xgboost_reg_main.cpp
+++ b/regression/xgboost_reg_main.cpp
@@ -111,7 +111,7 @@ namespace xgboost{
             inline void InitData( void ){
                 if( name_fmap != "NULL" ) fmap.LoadText( name_fmap.c_str() );
                 if( task == "dump" ) return;
-                if( task == "test" || task == "dumppath" ){
+                if( task == "pred" || task == "dumppath" ){
                     data.CacheLoad( test_path.c_str(), silent!=0, use_buffer!=0 );
                 }else{
                     // training 
@@ -155,7 +155,7 @@ namespace xgboost{
                 // always save final round
                 if( save_period == 0 || num_round % save_period != 0 ){
                     if( model_out == "NULL" ){
-                        this->SaveModel( num_round );
+                        this->SaveModel( num_round - 1 );
                     }else{
                         this->SaveModel( model_out.c_str() );
                     }