Title:
RANDOM FOREST MODEL TRAINING METHOD, ELECTRONIC APPARATUS AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2018/166113
Kind Code:
A1
Abstract:
A random forest model training method, an electronic apparatus and a storage medium. The random forest model training method comprises: a model training control system analyzing whether a model training condition has been satisfied (S1); if the model training condition has been satisfied, determining whether there is a need to perform reconstruction training on a random forest model (S2); if there is a need to perform reconstruction training on the random forest model, performing the reconstruction training on the random forest model by using sample data (S3); and if there is no need to perform reconstruction training on the random forest model, performing correction training on the random forest model by using the sample data (S4). The method can reduce the number of times that random forest model training is performed, reduce the system burden and improve the system performance.
Inventors:
JIN GE (CN)
XU LIANG (CN)
XIAO JING (CN)
XU LIANG (CN)
XIAO JING (CN)
Application Number:
PCT/CN2017/091362
Publication Date:
September 20, 2018
Filing Date:
June 30, 2017
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F17/30
Foreign References:
| CN102508907A | 2012-06-20 | |||
| CN105045819A | 2015-11-11 | |||
| CN105678567A | 2016-06-15 | |||
| CN105912500A | 2016-08-31 |
Other References:
See also references of EP 3413212A4
Attorney, Agent or Firm:
SHENZHEN WORLD INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)
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