diff --git a/examples/use_hyppopy_solver.py b/examples/use_hyppopy_solver.py
index 5cc7906..8843d4a 100644
--- a/examples/use_hyppopy_solver.py
+++ b/examples/use_hyppopy_solver.py
@@ -1,47 +1,47 @@
 import os
 import sys
 from sklearn.svm import SVC
 from sklearn.model_selection import cross_val_score
 
 # the ProjectManager is loading your config file and giving you access
 # to everything specified in the settings/custom section of the config
 from hyppopy.projectmanager import ProjectManager
 
 # the SolverFactory builds the Solver class for you
 from hyppopy.solverfactory import SolverFactory
 
 # we use in this example the SimpleDataLoader
 from hyppopy.workflows.dataloader.simpleloader import SimpleDataLoader
 
 # until Hyppopy is not fully installable we need
 # to set the Hyppopy package folder by hand
-HYPPOPY_DIR = "D:/Projects/Python/hyppopy"
+HYPPOPY_DIR = "D:/MyPythonModules/hyppopy"
 sys.path.append(HYPPOPY_DIR)
 
 # let the ProjectManager read your config file
 DATA = os.path.join(HYPPOPY_DIR, *("hyppopy", "tests", "data", "Titanic"))
 ProjectManager.read_config(os.path.join(DATA, 'rf_config.json'))
 
 # ----- reading data ------
 dl = SimpleDataLoader()
 dl.start(path=ProjectManager.data_path,
          data_name=ProjectManager.data_name,
          labels_name=ProjectManager.labels_name)
 # -------------------------
 
 # ----- defining loss function ------
 def blackbox_function(params):
     clf = SVC(**params)
     return -cross_val_score(estimator=clf, X=dl.data[0], y=dl.data[1], cv=3).mean()
 # -----------------------------------
 
 # ----- create and run the solver ------
 # get a solver instance from the SolverFactory
 solver = SolverFactory.get_solver()
 # set your loss function
 solver.set_loss_function(blackbox_function)
 # run the solver
 solver.run()
 # store your results
-solver.save_results(savedir="C:\\Users\\s635r\\Desktop\\myTestProject")
+solver.save_results(savedir="C:\\Users\\Me\\Desktop\\myTestProject")
 # --------------------------------------
\ No newline at end of file