id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3827	Jasmin Nizar	Prediction and Assessment of Software Engineering Skill Set among Computer Science Students using Random Forest Algorithm	2025	22	.pdf	application/pdf	8919	592	50	The highlights of this paper are as follows: • PCA-based RF algorithm to predict various skill sets of software engineering students, namely, soft skills, life skills, and technical skills. Results: The modelling outcomes show that the suggested PCA-based Random Forest model has a higher prediction accuracy of 86.5% for Soft skills, 84.6% for Life skills, and 87% for Technical skills than the standard machine learning models used for comparisons.	cache/cana-3827.pdf	txt/cana-3827.txt