id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-306124-sn780ike	Jakariya, Md.	Assessing climate-induced agricultural vulnerable coastal communities of Bangladesh using machine learning techniques	2020-06-16		.txt	text/plain	4078	152	37	The parameters with the highest vulnerability weights belong to exposure: average rainfall Community response variations about different vulnerability factors in the three districts are shown in Figure 5 . In order to obtain the importance scores of different vulnerability factors, permutation importance was used, which works by measuring the R 2 score on the original set of factors for a model and then calculating the decrease in R 2 by randomly permutating the values of each of the factors one at a time (Altmann et al., 2010) .	cache/cord-306124-sn780ike.txt	txt/cord-306124-sn780ike.txt
