2564-7814
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Cosmetic Suggestion Based On Skin Condition Using Artificial Intelligence
Volume -39 | Issue - 2
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SEPTIC: Vulnerabilities in the DBMS and injection attacks are noted
Volume -39 | Issue - 2
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WearMask: Rapid In-browser Face Mask Recognition for COVID-19 Using Serverless Edge Computing
Volume -39 | Issue - 2
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Detecting and classifying brain tumors utilizing deep learning
Volume -39 | Issue - 2
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A Comprehensive Review of the Literature on Machine Learning Approaches for Detecting SQL Injection Attacks
Volume -39 | Issue - 2
Comparative Analysis of Identifying Accuracy of Online Misinformation of Covid-19 Using SVM Algorithm with Decision Tree Classification
Main Article Content
Abstract
Aim: To improve the accuracy percentage of predicting misinformation about COVID-19 using SVM algorithm. Materials and methods: Support Vector Machine (SVM) with sample size = 20 and Decision Tree classification with sample size = 20 was iterated at different times for predicting the accuracy percentage of misinformation about COVID19
