README.md

metadata

title: SMS Spam Turkish Scikit-Learn
emoji: 🌖
colorFrom: gray
colorTo: green
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false
license: openrail

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