Update README.md

README.md

@@ -39,7 +39,7 @@ pip install -U git+https://github.com/ealcobaca/pymfe
 
 ## Example of use
 
-The simplest way to extract meta-features is instantiating the `MFE` class. The parameters are the measures, the group of measures and the summarization functions to be extracted. The default parameter is extract all the measures. The `fit` function can be called by passing the `X` and `y` and the `extract` function is used to extract the related measures. A simple example is given next:
+The simplest way to extract meta-features is instantiating the `MFE` class. The parameters are the measures, the group of measures and the summarization functions to be extracted. The default parameter is extract all the measures. The `fit` function can be called by passing the `X` and `y`. The `extract` function is used to extract the related measures. A simple example is given next:
 
 ```python
 # Load a dataset