machine learning simulation

machine learning simulation

machine learning simulation

machine learning simulation

in R Studio or python anaconda or so

Network performance metrics such as available

bandwidth and latency are essential to achieve good Quality of

Service (QoS) in multimedia streaming. There are unique

requirements in network performance metrics for media

applications, such as audio conferencing, video streaming, video

conferencing, and high-definition (HD) video conferencing.

In this paper, we focus on conference call type suggestion based

on link quality prediction. The link’s quality is classified based on

the available bandwidth and latency between two network nodes.

We have implemented and compared two of the most popular

supervised learning based classification methods, i.e. logistic

regression and support vector machine (SVM). We have

compared the performance of both methods and their

suitability to apply in link quality prediction. The experimental

results show that SVM outperforms logistic regression for binary

and multiclass classification in terms of accuracy.

Skills: C Programming, Machine Learning, Python, R Programming Language, Statistics

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Project ID: #16108731

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