HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images

Table 5 Comparison of performance metrics between “final dataset” and “all data” using a paired t-test

Measurement	Mean (All Data)	Final Dataset	SE (All Data)	t-value	p-value
Accuracy	83.057	98.48	3.928	3.92	0.0202
Recall	82.997	98.5	3.957	3.91	0.0210
Precision	82.997	98.48	3.957	3.91	0.0210
F1-score	85.377	98.48	3.131	4.19	0.0138

This table presents a comparison of performance metrics between the “Final Dataset” and the “All Data” using a paired t-test. Mean values and Standard Errors (SE) are provided for both datasets. The t-value and p-value are calculated to determine the statistical significance of the differences. The results indicate that all differences are statistically significant at the chosen significance level (\(\alpha\) = 0.05)

ISSN: 1471-2342