Update results

README.md

@@ -94,11 +94,13 @@
 
 > ***Using augmented dataset*** 
 
-| Case\\Criterion         | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) | Notes                     |
+| Using augmented dataset |                 |                |                         |                      |                        |                           |
 | ----------------------- | --------------- | -------------- | ----------------------- | -------------------- | ---------------------- | ------------------------- |
+|                         |                 |                |                         |                      |                        |                           |
+| Case\\Criterion         | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) | Notes                     |
 | nltk stemmer            | 0.9629          | 0.9524         | 0.9513                  | 0.9522               | 0.9509                 | alpha=0.1, 300features    |
 | nltk lemmatizer         | 0.9832          | 0.9699         | 0.9703                  | 0.9699               | 0.9696                 | alpha=0.1, 700features    |
-| Stanza lemmatizer       |                 |                |                         |                      |                        |                           |
+| Stanza lemmatizer       | 0.9783          | 0.9671         | 0.9673                  | 0.9672               | 0.9668                 | alpha=0.1, 550features    |
 | SpaCy lemmatizer        | 0.9776          | 0.9657         | 0.9655                  | 0.9656               | 0.9652                 | alpha=0.1, 550features    |
 | Lemma + Verbs only      | 0.7106          | 0.6321         | 0.6293                  | 0.6278               | 0.6214                 | alpha=0.1, 400features    |
 | Lemma + Adjectives only | 0.7990          | 0.7357         | 0.7383                  | 0.7351               | 0.7299                 | alpha=0.1, 450features    |
@@ -109,6 +111,8 @@
 | Text + (2,3)Gram        | 0.9951          | 0.9695         | 0.9688                  | 0.9694               | 0.9688                 | alpha=0.01, 9100features  |
 | Text + (2,4)Gram        | 0.9951          | 0.9646         | 0.9634                  | 0.9645               | 0.9635                 | alpha=0.01, 14100features |
 
+---
+
 > ***Applied features selection and model's hyperparameters tuning*** 
 
 | Case\\Criterion         | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) | Notes                     |
@@ -126,7 +130,7 @@
 | Text + (2,3)Gram        | 1.0000          | 0.9502         | 0.9530                  | 0.9508               | 0.9501                 | alpha=0.01, 17100features |
 | Text + (2,4)Gram        | 1.0000          | 0.9502         | 0.9523                  | 0.9504               | 0.9492                 | alpha=0.01, 30600features |
 
-
+---
 > ***Without features selection***  
 
 | Case\\Criterion         | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) |