Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics

Brain Informatics

Table 6 Wilcoxon signed-rank test results for classifier comparisons

Classifier pair	Test statistic	p-value	Result
Random Forest vs. Extra Trees	22.5000	0.0296	Significant
Random Forest vs. Gradient Boosting	0.001	0.0039	Significant
Random Forest vs. CatBoost	12.200	0.0002	Significant
Extra Trees vs. Gradient Boosting	48.0000	1.0000	Not significant
Extra Trees vs. CatBoost	4.0000	0.0156	Significant
Gradient Boosting vs. CatBoost	8.0000	0.0010	Significant

Using Wilcoxon signed-rank test to indicate if exists a statistically significant and reliability for differences in scored accuracy of each model, according to the test outcomes only significant comparisons with p-value<0.5 are marked Bold