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README.md

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 LightGBM, Light Gradient Boosting Machine
 ==========
 
+LightGBM is a gradient boosting framework that using tree based learning algorithms. It is designed to be distributed and high performance, and has following advantages:
 
-LightGBM is a gradient boosting framework that using tree based learning algorithms. It can outperform existing boosting tools on both learning efficiency and accuracy. Our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) shows that the result of efficiency and accuracy are better than other boosting tools.
+- Fast training speed
+- Low memory consumption
+- Better accuracy
+- Efficient parallel learning
+- Can learn from very big data
 
-LightGBM can leveraging multiple machines to speed-up the training procedure, which can achive linear speed-up in our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) settings. 
+For the details about these advantages, please refer to [Feature Highlight](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight).
 
+The [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) on real data also show LightGBM can outperform other existing boosting tools on both learning efficiency and accuracy, with much lower memory consumption. And LightGBM can achieve linear speed-up for parallel learning in our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment).
+
+Get Started
+------------
+To quick start,  please refer to [Installation](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) and [Quick Start](https://github.com/Microsoft/LightGBM/wiki/Quick-Start).
+
+Documents
+------------
 * [**Wiki**](https://github.com/Microsoft/LightGBM/wiki)
 * [**Installation**](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) 
 * [**Parallel Learning Guide**](https://github.com/Microsoft/LightGBM/wiki/Parallel-Learning-Guide) 
 * [**Parameters**](https://github.com/Microsoft/LightGBM/wiki/Parameters) 
-* [**Examples**](https://github.com/Microsoft/LightGBM/tree/master/examples)
-
-
-
 
 
+Microsoft Open Source Code of Conduct
+------------
 
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.