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-# LST20 CLS
-## v0.2
-**Model Details**
-
-- Developer: Wannaphong Phatthiyaphaibun
-- This report author: Wannaphong Phatthiyaphaibun
-- Model date: 2020-10-03
-- Model version: 0.2
-- Used in PyThaiNLP version: 2.2.4 +
-- Filename: `~/pythainlp-data/cls-v0.2.crfsuite`
-- GitHub: [https://github.com/PyThaiNLP/pythainlp/pull/479](https://github.com/PyThaiNLP/pythainlp/pull/479)
-- CRF Model
-- License: CC0
-
-**Intended Use**
-
-- Segmenting Thai text into clauses (smaller than a sentence but bigger than a word)
-- Not suitable for other language or non-news domains.
-
-**Factors**
-
-- Based on known problems with thai natural Language processing.
-
-**Metrics**
-
-- Evaluation metrics include precision, recall and f1-score.
-
-**Training Data**
-
-LST20 Corpus Train set (news domain)
-
-**Evaluation Data**
-
-LST20 Corpus Test set (news domain)
-
-**Quantitative Analyses**
-
-```
-              precision    recall  f1-score   support
-
-       B_CLS       0.90      0.94      0.92     16111
-       E_CLS       0.90      0.94      0.92     15947
-       I_CLS       0.99      0.97      0.98    169565
-
-   micro avg       0.97      0.97      0.97    201623
-   macro avg       0.93      0.95      0.94    201623
-weighted avg       0.97      0.97      0.97    201623
- samples avg       0.94      0.94      0.94    201623
-```
-**Ethical Considerations**
-
-- It trains from LST20 Corpus. It is possible to have a bias from LST20 Corpus.
-
-**Caveats and Recommendations**
-
-- The user must perform word segmentation first before using this model.
-- Thai text only