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- W3211709595 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." @default.
- W3211709595 created "2021-11-22" @default.
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- W3211709595 date "2021-09-03" @default.
- W3211709595 modified "2023-09-23" @default.
- W3211709595 title "A Machine Learning Model to Prune Insignificant Attributes" @default.
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- W3211709595 doi "https://doi.org/10.1109/icrito51393.2021.9596425" @default.
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