Smart Home Value Prediction Using Machine Learning Techniques Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.30534/ijatcse/2020/295952020
The home loan showcase is one among the most market driven and wavering organizations.One of the significant fields in this is applying the AI systems as to how to improve and foresee productivity with high precision.There are three elements influencing a house value which incorporate physical conditions, ideas, and area.The present system includes estimating the house costs with no market cost projections and cost increments.The point in this paper is to anticipate private costs for clients in view of their monetary idea and needs.By separating past business patterns and worth levels, and gaining future ground, costs are anticipated.This test implies anticipating house costs with Random Forest algorithm in Mumbai city.It will assist customers by avoiding paying of cash by going towards an intermediary.The after effect of this exploration demonstrated that random forest gives a slight base mistake of expectation that is 0.349.The experiment results shows that the proposed method is better in prediction and efficiency.
Related Topics To Compare & Contrast
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.30534/ijatcse/2020/295952020
- https://doi.org/10.30534/ijatcse/2020/295952020
- OA Status
- bronze
- Cited By
- 3
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4234375723