diff --git a/tools/karoo_multiclassifier.py b/tools/karoo_multiclassifier.py
index cd1d34d..92502a4 100644
--- a/tools/karoo_multiclassifier.py
+++ b/tools/karoo_multiclassifier.py
@@ -4,7 +4,8 @@
 
 '''
 This is a toy script, designed to allow you to play with multiclass classification using the same underlying function
-as employed by Karoo GP.
+as employed by Karoo GP. Keep in mind that a linear multiclass classifier such as this is suited only for data which
+itself has a linear (eg: time series) component, else GP will struggle to force the data to fit.
 '''
 
 from numpy import arange
diff --git a/tools/karoo_normalise.py b/tools/karoo_normalise.py
index 856386b..f21c11f 100644
--- a/tools/karoo_normalise.py
+++ b/tools/karoo_normalise.py
@@ -8,9 +8,9 @@ import numpy as np
 np.set_printoptions(linewidth = 320) # set the terminal to print 320 characters before line-wrapping in order to view Trees
 
 '''
-This script works with a raw dataset to prepare a new, normalised dataset. It does so by comparing all values in each 
-given column, finding the maximum and minimum values, and then modifying each value to fall between a high of 1 and 
-low of 0. The modified values are written to a new file, the original remaining untouched.
+This script works with a dataset to prepare a new, normalised dataset. It does so by comparing all values in each given 
+column, finding the maximum and minimum values, and then modifying each value to fall between a high of 1 and low of 0. 
+The modified values are written to a new file, the original remaining untouched.
 
 This script can be used *after* karoo_features_sort.py, and assumes no header has yet been applied to the .csv.
 '''