Predictive analysis on startup acquisition status
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Full Text |
Pdf
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Author |
V. S. Padmavathy and Gowtham Elangovan
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e-ISSN |
1819-6608 |
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On Pages
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1792-1796
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Volume No. |
18
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Issue No. |
15
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Issue Date |
October 10, 2023
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DOI |
https://doi.org/10.59018/0823221
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Keywords |
start-up, machine learning, acquisition status, oversampling.
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Abstract
Start-up companies are newly established companies in a survival struggle. These organisations generally start with brilliant ideas and succeed. Every year, several start-ups start with ideas, but only a very small percentage of these ideas end up lasting. Multiple factors and values affect their survival. Henceforth a concept to forecast if the start-up will be successful or not in the long run is developed. Based on an analysis and forecast, the acquisition status of a startup is determined. This would make it easier for investors to put money into a startup business. By treating the skewed data without under-sampling or oversampling, this is accomplished. To attain more accuracy and performance, a novel model is suggested.
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