diff --git a/Report_Klaudia_Przybylska.md b/Report_Klaudia_Przybylska.md
index 94c9c77..6dcb4e6 100644
--- a/Report_Klaudia_Przybylska.md
+++ b/Report_Klaudia_Przybylska.md
@@ -57,11 +57,6 @@ trainingFileNames, testFileNames = np.split(np.array(allFileNames), [int(len(all
 ## Implementation
 Functions in garbageDumpSorting.py:
 * createSets - divides images between test and training set. This function should be run only once, unless the folders with training and test set are removed,
-
-```
-trainingFileNames, testFileNames = np.split(np.array(allFileNames), [int(len(allFileNames) * (1 - testRatio))])
-```
-
 * huMoments, haralick, histogram - calculate global feature descriptors,
 * processTrainData, processTestData - both work in the same way, they iterate over files in train or test directory, saves features as a matrix and then saves results to h5 file, it is recommended to run it only once as it takes some time to finish.