Papers › Predicting and Analyzing Law-Making in Kenya

Predicting and Analyzing Law-Making in Kenya

9 Jun 2020WS 2020 7arXiv:2006.05493archive 2025-07-28

Oyinlola Babafemi, Adewale Akinfaderin

Modelling and analyzing parliamentary legislation, roll-call votes and order of proceedings in developed countries has received significant attention in recent years. In this paper, we focused on understanding the bills introduced in a developing democracy, the Kenyan bicameral parliament. We developed and trained machine learning models on a combination of features extracted from the bills to predict the outcome - if a bill will be enacted or not. We observed that the texts in a bill are not as relevant as the year and month the bill was introduced and the category the bill belongs to.

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