An insurance company has developed a machine learning model to classify whether a policyholder is likely to file a claim within the next year. After completing training, the data science team is analyzing metrics such as confusion matrix, F1 score, precision-recall curves, and AUC using a holdout validation set. Their goal is to determine if the model's predictive power is strong enough for deployment. Which phase of the machine learning lifecycle are they currently engaged in?