Operation and maintenance personnel intelligent recommendation method and device based on gradient boosting decision tree and logistic regression fusion

• Main Authors: KANG JUNLI, ZHENG JIANYING, YUAN ZHIHONG, WU LEI
• Format: Patent
• Language: Chinese; English
• Published: 08.02.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an operation and maintenance personnel intelligent recommendation method and device based on gradient boosting decision tree and logistic regression fusion, belongs to the technical field of computers, and solves the problem that a method for pushing fault related information to proper operation and maintenance personnel through an intelligent recommendation mode based on a machine learning model is lacked. The method comprises the following steps: establishing a GBDT + LR model; establishing an operation and maintenance personnel intelligent recommendation data set; preprocessing the operation and maintenance personnel intelligent recommendation data set, wherein preprocessing comprises missing value filling and feature processing; dividing the preprocessed operation and maintenance personnel intelligent recommendation data set into a training set and a verification set; training a GBDT + LR model by using the training set to obtain parameters of the GBDT + LR model; according to the