Validation can be conducted through various methods including:
Replication studies: Repeating the experiment or study in different settings to see if similar results are obtained. Cross-validation: Dividing the dataset into multiple parts to train and test the model in different subsets. External validation: Testing the findings or diagnostic tools on a new, independent dataset.
