Update README.md

README.md

@@ -9,7 +9,7 @@ app_file: app.py
 pinned: false
 license: openrail
 ---
-tags : The dataset used in the study "Uysal, A. K., Gunal, S., Ergin, S., & Gunal, E. S. (2013). The impact of feature extraction and selection on SMS spam filtering. Elektronika ir Elektrotechnika, 19(5), 67-72." is employed for training. The success ratios for Linear SVM Classifier is 0.9880 in terms of Macro-F1 when 10% of the dataset was used for testing. 
 
+The dataset used in the study "Uysal, A. K., Gunal, S., Ergin, S., & Gunal, E. S. (2013). The impact of feature extraction and selection on SMS spam filtering. Elektronika ir Elektrotechnika, 19(5), 67-72." is employed for training. The success ratios for Linear SVM Classifier is 0.9880 in terms of Macro-F1 when 10% of the dataset was used for testing. 
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference