#AITradingAffectsForex AI model uncertainty plays a critical role in model selection, as it can significantly impact the reliability and accuracy of predictions. Models with high uncertainty may not generalize well to new data, leading to poor performance. To address this, traders can: - *Evaluate uncertainty metrics*: Assess models' uncertainty using metrics such as Bayesian inference or bootstrap methods. - *Compare model uncertainty*: Select models with lower uncertainty and higher confidence in their predictions. - *Use ensemble methods*: Combine multiple models to reduce overall uncertainty and improve robustness. By considering model uncertainty, traders can make more informed decisions when selecting AI models.