minor readme edit

Author: ercbk

README.Rmd

@@ -11,7 +11,7 @@ Nested cross-validation has become a recommended technique for situations in whi
 
 The primary issue with this technique is that it can be computationally expensive with potentially tens of 1000s of models being trained during the process. While researching this technique, I found two slightly different variations of performing nested cross-validation — one authored by [Sabastian Raschka](https://github.com/rasbt/stat479-machine-learning-fs19/blob/master/11_eval4-algo/code/11-eval4-algo__nested-cv_verbose1.ipynb) and the other by [Max Kuhn and Kjell Johnson](https://tidymodels.github.io/rsample/articles/Applications/Nested_Resampling.html).  
 
-Various elements of the technique affect the run times and can be altered to improve performance. These include:  
+Various elements of the technique affect the run times and performance. These include:  
 
 1. Hyperparameter value grids  
 2. Grid search strategy  

README.md

@@ -25,8 +25,8 @@ Raschka](https://github.com/rasbt/stat479-machine-learning-fs19/blob/master/11_e
 and the other by [Max Kuhn and Kjell
 Johnson](https://tidymodels.github.io/rsample/articles/Applications/Nested_Resampling.html).
 
-Various elements of the technique affect the run times and can be
-altered to improve performance. These include:
+Various elements of the technique affect the run times and performance.
+These include:
 
 1.  Hyperparameter value grids  
 2.  Grid search strategy