diff --git a/src/author_identification_loo.py b/src/author_identification_loo.py
index 023315a..567d286 100755
--- a/src/author_identification_loo.py
+++ b/src/author_identification_loo.py
@@ -14,7 +14,7 @@ AUTHORS_CORPUS_II = ['Dante', 'BeneFlorentinus', 'BenvenutoDaImola', 'Boncompagn
                            'RyccardusDeSanctoGermano', 'ZonoDeMagnalis']
 
 
-DEBUG_MODE = False
+DEBUG_MODE = True
 
 
 def main():
@@ -57,7 +57,8 @@ def main():
         Xtr, ytr, groups = feature_extractor.fit_transform(positive, negative)
 
         print('Fitting the Verificator')
-        params = {'C': np.logspace(0, 1, 2)} if DEBUG_MODE else {'C': np.logspace(-3, +3, 7)}
+        #params = {'C': np.logspace(0, 1, 2)} if DEBUG_MODE else {'C': np.logspace(-3, +3, 7)}
+        params = {'C': np.logspace(0, 1, 2)} if DEBUG_MODE else {'C': [1,10,100,1000,0.1,0.01,0.001]}
 
         slice_charngrams = feature_extractor.feature_range['_cngrams_task']
         slice_wordngrams = feature_extractor.feature_range['_wngrams_task']
@@ -66,8 +67,8 @@ def main():
         else:
             slice_first, slice_second = slice_wordngrams, slice_charngrams
         av = Pipeline([
-            ('featsel_cngrams', RangeFeatureSelector(slice_second, 0.1)),
-            ('featsel_wngrams', RangeFeatureSelector(slice_first, 0.1)),
+            ('featsel_cngrams', RangeFeatureSelector(slice_second, 0.05)),
+            ('featsel_wngrams', RangeFeatureSelector(slice_first, 0.05)),
             ('av', AuthorshipVerificator(C=1, param_grid=params))
         ])
 
@@ -115,8 +116,9 @@ if __name__ == '__main__':
     parser.add_argument('positive', type=str, default="Dante", metavar='AUTHOR',
                         help= f'Positive author for the hypothesis (default "Dante"); set to "ALL" to check '
                               f'every author')
-    parser.add_argument('--log', type=str, metavar='PATH', default='./results.txt',
-                        help='path to the log file where to write the results (default ./results.txt)')
+    parser.add_argument('--log', type=str, metavar='PATH', default=None,
+                        help='path to the log file where to write the results '
+                             '(if not specified, then ./results_{corpuspath.name})')
 
     args = parser.parse_args()
 
diff --git a/src/experiments.sh b/src/experiments.sh
index f5019c1..ddee056 100755
--- a/src/experiments.sh
+++ b/src/experiments.sh
@@ -9,11 +9,11 @@ if [ ! -d $corpus ]; then
   rm ../MedLatin.zip
 fi
 
-PY="python3 author_identification.py"
+PY="python3 author_identification_loo.py"
 MedLatin1="../MedLatin/Corpora/MedLatin1"
 MedLatin2="../MedLatin/Corpora/MedLatin2"
 EP1="../MedLatin/Epistle/EpistolaXIII_1.txt"
 EP2="../MedLatin/Epistle/EpistolaXIII_2.txt"
 
-$PY $MedLatin1 ALL --unknown $EP1 --loo --log ./results_EP1.txt
-$PY $MedLatin2 ALL --unknown $EP2 --loo --log ./results_EP2.txt
+$PY $MedLatin1 ALL --log ./resultsLoo_EP1.txt
+$PY $MedLatin2 ALL --log ./resultsLoo_EP2.txt
diff --git a/src/model.py b/src/model.py
index 45b82f0..e768fe1 100755
--- a/src/model.py
+++ b/src/model.py
@@ -19,7 +19,7 @@ class AuthorshipVerificator(BaseEstimator):
         self.author_name = author_name
 
     def fit(self, X, y):
-        self.classifier = LogisticRegression(C=self.C, class_weight='balanced')
+        self.classifier = LogisticRegression(C=self.C, class_weight='balanced', solver='lbfgs', max_iter=1000)
         y = np.asarray(y)
         positive_examples = y.sum()
         if positive_examples >= self.nfolds and self.param_grid is not None:
diff --git a/src/requirements.txt b/src/requirements.txt
new file mode 100644
index 0000000..54f1247
--- /dev/null
+++ b/src/requirements.txt
@@ -0,0 +1,5 @@
+joblib==0.11
+nltk==3.4.5
+numpy==1.18.2
+scikit-learn==0.22.2.post1
+scipy==1.4.1