paper
2021
Applications & impacts
Application study
Classical ML (trees, GP, linear, kernels) Journal
2021-12-31
008
Dec 2021
Su Hoon Choi, Jeong Hwa Yang, Sang-Hyun Lee et al.
The Korean Data Analysis Society
AutoML comparison finds XGBoost best at predicting persimmon farm fruit-drop damage rates from typhoon information, trained on 2016-2018 and tested on 2019 data.
Analysis of the Damage Rate of Astringent Persimmon Farms According to Typhoon Information
In one sentence. AutoML comparison finds XGBoost best at predicting persimmon farm fruit-drop damage rates from typhoon information, trained on 2016-2018 and tested on 2019 data.
Labels
- Topic
- Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.37727/jkdas.2021.23.6.2619 OpenAlex:W4205185009
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.