Please describe the runtime cost/ efficiency of SVM classifier and how it scales over time?

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Muhammad Ali

Have a look at https://www.analyticsvidhya.com/blog/2021/10/support-vector-machinessvm-a-complete-guide-for-beginners/

Article Selecting training sets for support vector machines: a review

Shafagat Mahmudova

Dear Laxmisagar Hs ,

The same argument applies to Machine Learning Algorithms. Selecting the best ML algorithm in terms of computational complexity for a given problem is an important part of an ML practitioner. This article will be very specific in context to SVM.

https://alekhyo.medium.com/computational-complexity-of-svm-4d3cacf2f952

Regards,

Shafagat

Shima Shafiee

Why Run-time Cost Estimation?

Static cost information in repository or catalog:

upper bound? average?
fluctuation in resources and load of server
dependence on specific input data

Run-time cost information from megamodule:

reflects actual load and resources
takes into account autonomy, no out-of-date cost information in a central repository, no daily updates
easily fits into CPAM and the concept of having several primitives for remote execution
yet: requires in megamodule either statistics of costs over typical loads and input data gained by previous invocations, or special functionality in (wrapped) server software

Time scaling or time stretching is the process of slowing down or speeding up an audio signal without changing the pitch.

Deleted research item The research item mentioned here has been deleted

GOOD LUCK