diff --git a/.DS_Store b/.DS_Store
index 4e49e88..72bfca9 100644
Binary files a/.DS_Store and b/.DS_Store differ
diff --git a/Neural_Network_Analysis.py b/Neural_Network_Analysis.py
index 7445880..2f9831f 100644
--- a/Neural_Network_Analysis.py
+++ b/Neural_Network_Analysis.py
@@ -377,7 +377,7 @@ if __name__ == "__main__":
     NR_SUBJECTS = 5
     NR_SESSIONS = 4
     BATCH_SIZE = 64
-    EPOCHS = 5
+    EPOCHS = 30
 
     TEST_SESSION_NR = 4
     VERBOSE = 1
@@ -430,8 +430,9 @@ if __name__ == "__main__":
     '''
 
 
-    #'''
+    '''
     # ----- Cross validation ------
+    # Trained on three sessions, tested on one
     average_GRU = session_cross_validation('GRU', X, y, session_lengths, nr_sessions=NR_SESSIONS, 
                                                                         log_to_csv=LOG,
                                                                         batch_size=BATCH_SIZE, 
@@ -455,5 +456,33 @@ if __name__ == "__main__":
     print('Crossvalidated FFN:', average_FFN)
     print('Cross-validated CNN_1D:', average_CNN)
     print('\n')
-    #'''
+    '''
+
+    '''
+    # ----- Inverse cross-validation ------
+    # Trained on one session, tested on three
+    average_GRU = session_cross_validation('GRU', X, y, session_lengths, nr_sessions=NR_SESSIONS, 
+                                                                        log_to_csv=LOG,
+                                                                        batch_size=BATCH_SIZE, 
+                                                                        epochs=EPOCHS)
+    average_LSTM = session_cross_validation('LSTM', X, y, session_lengths, nr_sessions=NR_SESSIONS,
+                                                                        log_to_csv=LOG,
+                                                                        batch_size=BATCH_SIZE, 
+                                                                        epochs=EPOCHS)
+    average_FFN = session_cross_validation('FFN', X, y, session_lengths, nr_sessions=NR_SESSIONS,
+                                                                        log_to_csv=LOG,
+                                                                        batch_size=BATCH_SIZE, 
+                                                                        epochs=EPOCHS)
+    average_CNN = session_cross_validation('CNN_1D', X, y, session_lengths, nr_sessions=NR_SESSIONS,
+                                                                        log_to_csv=LOG,
+                                                                        batch_size=BATCH_SIZE, 
+                                                                        epochs=EPOCHS)
+
+    print('\n')
+    print('Crossvalidated GRU:', average_GRU)
+    print('Crossvalidated LSTM:', average_LSTM)
+    print('Crossvalidated FFN:', average_FFN)
+    print('Cross-validated CNN_1D:', average_CNN)
+    print('\n')
+    '''