Abstract
The selection of an appropriate model is a highly critical part of implementing the machine learning algorithm. A particular problem can be addressed with more than one algorithm. However, the choice of that depends on the availability of data type, data set, complexity, use of resources, and statistical cost function. Here in this chapter, we have explored different algorithms for their suitability to solve a particular problem.
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Ghosh, S., Dasgupta, R. (2022). Model Selection for Machine Learning. In: Machine Learning in Biological Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-8881-2_5
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DOI: https://doi.org/10.1007/978-981-16-8881-2_5
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