Predicting Classification Accuracy of Unlabeled Datasets Using Multiple Deep Neural Networks

Predicting Classification Accuracy of Unlabeled Datasets Using Multiple Deep Neural Networks

In machine learning problems, we usually assume that the validation accuracy is a good estimation of prediction accuracy for datasets without ground truth. In reality, this assumption may not hold. Therefore, we propose an approach to estimate the prediction accuracy of a target model on unlabeled d...

Full description

Bibliographic Details
Main Authors: Shingchern D. You, Hsiao-Chung Liu, Chien-Hung Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Prediction accuracy estimation
unlabeled dataset
machine learning
convolutional neural network
vocal detection
Online Access:https://ieeexplore.ieee.org/document/9761232/

Internet

https://ieeexplore.ieee.org/document/9761232/

Similar Items