Evaluate the model's performance using various metrics

[slgnalin]

• Validate the model using various metrics like sensitivity, specificity, accuracy on a different dataset from the one used in training.
• Utilize appropriate evaluation metrics to assess the model's accuracy, precision, recall, and F1 score.
• Fine-tune the model based on evaluation results.