Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Jan 29;10:1422. doi: 10.1038/s41598-020-57580-z

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Classification results of the GMs. (a) Confusion matrix for the classification of four GM classifications. The rows and columns correspond to the PT assessments and the classification results of the system, respectively. Results averaged across five trials and standard deviation is shown. (b) Classification accuracy of normal GMs and abnormal GMs. Error bars represent standard deviations for all trials. (c) Classification accuracy of learning data for each number of indices. The input indices are reduced one-by-one using partial KL information. Error bars represent the standard deviations of the average classification accuracy of the respective GMs.