2025, Vol. 10, Special Issue 2
Impact analysis of the ICT for e-governance in agricultural development of Bastar district using random forest technique
Author(s): Narendra Sahu, Purushottam Sahu, Vibha Ramteke, Himanshu Yadav and DP Singh
Abstract: A survey-based study was conducted regarding the
issues faced by the government in implementing policies related to ICT in
Bastar district. The survey conducted in seven blocks during 2023-24 in Bastar
district. In this study, a total of 09 constraints related to ICT were selected
i.e. Resource related issue, Level of
computer illiteracy, Limited citizens awareness, Challenges of language,
Resistance to change, Lack of trained person, storage of equipments, Level of
difficulty, Gender. The Alpha method was used to test the reliability of data.
Three classification methods were used: J-48, CART, and Random Forest. The
model selection was primarily based on sensitivity, accuracy, specificity, and F1
score. According to our research, the Random Forest method was found to be the
best.
Pages: 21-23 | Views: 34 | Downloads: 1Download Full Article: Click HereHow to cite this article:
Narendra Sahu, Purushottam Sahu, Vibha Ramteke, Himanshu Yadav, DP Singh. Impact analysis of the ICT for e-governance in agricultural development of Bastar district using random forest technique. Int J Stat Appl Math 2025;10(2S):21-23.
