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What is Batch Size

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
The batch size is the number of samples selected from training dataset. Possible batch size can be any integer ranging from 1 to the total data number in training set.
Published in Chapter:
Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network
Xiangming Liu (University of Connecticut, USA) and Gao Niu (Bryant University, USA)
DOI: 10.4018/978-1-7998-8455-2.ch009
Abstract
This chapter presents a thorough descriptive analysis of automobile fatal accident and insurance claims data. Major components of the artificial neural network (ANN) are discussed, and parameters are investigated and carefully selected to ensure an efficient model construction. A prediction model is constructed through ANN as well as generalized linear model (GLM) for model comparison purposes. The authors conclude that ANN performs better than GLM in predicting data for automobile fatalities data but does not outperform for the insurance claims data because automobile fatalities data has a more complex data structure than the insurance claims data.
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Developing Machine Learning Skills With No-Code Machine Learning Tools
A hyperparameter that determines the number of samples used for training before the internal parameters of a model is updated during the training of neural networks.
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