Investigating the Impact of Training and Testing Ratios on the Performance of an AI-Based Malware Detector using MATLAB

Investigating the Impact of Training and Testing Ratios on the Performance of an AI-Based Malware Detector using MATLAB

This research investigates the impact of the training and testing ratios on the performance of an AI-Based Malware Detector using MATLAB. The experiments through MATLAB have shown that higher training percentage means that a larger portion of dataset for training the model have been used while a low...

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Bibliographic Details
Main Authors:	Romero Carlo N., Mital Matt Ervin G., Rostata Zagie D., Martinez Mark Angelo M.
Format:	Article
Language:	English
Published:	EDP Sciences 2024-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/30/e3sconf_interconnects2024_01015.pdf

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