Update README.md

README.md

@@ -9,7 +9,7 @@ LightGBM is a gradient boosting framework that using tree based learning algorit
 - Parallel learning supported
 - Deal with large scale of data
 
-For the details, please refer to [Feature Highlights](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight).
+For the details, please refer to [Features](https://github.com/Microsoft/LightGBM/wiki/Features).
 
 The [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) on the public data also shows that LightGBM can outperform other existing boosting tools on both learning efficiency and accuracy, with significant lower memory consumption. What's more, the [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) shows that LightGBM can achieve linear speed-up by using multiple machines for training in specific settings. 
 
@@ -20,12 +20,12 @@ For a quick start,  please follow the [Installation Guide](https://github.com/Mi
 Documents
 ------------
 * [**Wiki**](https://github.com/Microsoft/LightGBM/wiki)
-* [**Installation**](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) 
+* [**Installation Guide**](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) 
 * [**Quick Start**](https://github.com/Microsoft/LightGBM/wiki/Quick-Start)
 * [**Examples**](https://github.com/Microsoft/LightGBM/tree/master/examples)
-* [**Feature Highlight**](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight) 
+* [**Features**](https://github.com/Microsoft/LightGBM/wiki/Features) 
 * [**Parallel Learning Guide**](https://github.com/Microsoft/LightGBM/wiki/Parallel-Learning-Guide) 
-* [**Parameters**](https://github.com/Microsoft/LightGBM/wiki/Parameters) 
+* [**Configuration**](https://github.com/Microsoft/LightGBM/wiki/Configuration) 
 
 
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