A Machine Learning Model to Prune Insignificant Attributes | IEEE Conference Publication | IEEE Xplore

A Machine Learning Model to Prune Insignificant Attributes


Abstract:

In this research work, a machine learning model is proposed with only those features which are significantly contributing in prediction using multiple linear regression. ...Show More

Abstract:

In this research work, a machine learning model is proposed with only those features which are significantly contributing in prediction using multiple linear regression. The other insignificant features are pruned or eliminated using the concept of p-value. The research work will use p-value solely to determine which features are significant to the dataset and which are not so important. The results obtained are quite promising in terms of prediction power of the novel model as compared to the work done in literature till now.
Date of Conference: 03-04 September 2021
Date Added to IEEE Xplore: 15 November 2021
ISBN Information:
Conference Location: Noida, India

References

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