Spaces:
Runtime error
Runtime error
| title: SMS Spam English Scikit-Learn | |
| emoji: 🌖 | |
| colorFrom: gray | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.17.0 | |
| app_file: app.py | |
| pinned: false | |
| license: openrail | |
| ENGLISH | |
| The dataset used in the study "T.A. Almeida, J.M.G. Hidalgo, and A. Yamakami, Contributions to the Study of SMS Spam Filtering: New Collection and Results, Proc. 11th ACM Symposium on Document Engineering, pp. 259-262, 2011." is employed for training. The success ratio for Linear SVM Classifier is 0.9742 in terms of Macro-F1 when 10% of the dataset was used for testing. | |
| The dataset is composed of SPAM and LEGITIMATE sms data. | |
| TÜRKÇE | |
| Bu çalışmada "T.A. Almeida, J.M.G. Hidalgo, and A. Yamakami, Contributions to the Study of SMS Spam Filtering: New Collection and Results, Proc. 11th ACM Symposium on Document Engineering, pp. 259-262, 2011." başlıklı çalışmadaki veri seti kullanılmıştır. Linear SVM sınıflandırıcı için başarı oranı, veri setinin %10'u test için kullanıldığında Makro-F1 açısından 0.9742'dir. | |
| Veri seti, SPAM ve LEGITIMATE kısa mesaj verilerinden oluşmaktadır. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |