Update README.md

jygan · Oct 19, 2016 · 831675b · 831675b
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@@ -10,9 +10,9 @@ LightGBM is a gradient boosting framework that is using tree based learning algo
 - Parallel learning supported
 - Deal with large scale of data
 
-For the details, please refer to [Features](https://github.com/Microsoft/LightGBM/wiki/Features).
+For more 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. 
+The [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) on public dataset show that LightGBM outperform other existing boosting tools on both efficiency and accuracy, with significant lower memory consumption. What's more, the [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) show that LightGBM can achieve linear speed-up by using multiple machines for training in specific settings. 
 
 Get Started
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