Are there theories that guide the selection of the right percentage of training and testing samples during training of machine learning algorithms?

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Abidhan Bardhan

As per my knowledge is concerns, there are no criteria for the selection of the right percentage of training and testing samples during training of a machine learning algorithm. However, obtained results can be assessed based on the ratio of training and testing subsets.

Akpofure A Enughwure

Hello Vincent O. Nyangaresi

Have a look at the following links

https://www.researchgate.net/post/Is-there-an-ideal-ratio-between-a-training-set-and-validation-set-Which-trade-off-would-you-suggest

https://www.hindawi.com/journals/mpe/2020/2836236/

https://towardsdatascience.com/train-test-split-c3eed34f763b