Documentation

README.md

@@ -2,13 +2,13 @@
 Automatic Piecewise Linear Regression.
 
 # About
-Build predictive and interpretable parametric machine learning models in Python based on the Automatic Piecewise Linear Regression methodology developed by Mathias von Ottenbreit.
+Build predictive and interpretable parametric machine learning models in Python based on the Automatic Piecewise Linear Regression (APLR) methodology developed by Mathias von Ottenbreit. APLR is often able to compete with Random Forest on predictiveness, but unlike Random Forest and other tree-based methods APLR is interpretable. See the documentation folder for more information. 
 
 # How to install
 pip install aplr
 
 # Availability
-Currently available for Windows and most Linux versions.
+Currently available for Windows and most Linux distributions.
 
 # How to use
 Please see the two example Python scripts in the examples folder. They cover common use cases, but not all of the functionality in this package. For example, fitting with user-specified observation weights is possible but the example scripts do not use this functionality.