Classification model training and using method and device, equipment and medium

• Main Authors: WU MINGDAN, SHENG WENJIA, YE JUN, GAO CHUNXU
• Format: Patent
• Language: Chinese; English
• Published: 29.05.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a classification model training and using method and device, equipment and a medium, and relates to the technical field of artificial intelligence. The training method comprises the steps of utilizing a training sample set, adopting an ensemble learning algorithm to train a classification model to obtain at least one classifier set, wherein the classifier set comprises at least two base classifiers; testing the classifier set by adopting a test sample set to determine the classification performance of each base classifier, and determining the classification weight of each base classifier according to the classification performance, wherein the classification weight is used for determining the weight of the classification result of each base classifier when the classifier set is used for sample classification. According to the embodiment of the invention, the diversity of the base classifiers in ensemble learning can be ensured, and the classifiers have the common classification perform