Demystifying Machine Learning

Summary:

• A test dataset is used to evaluate your model.
• It contains the gold standard or ground truth annotations.
• The test dataset should be disjoint from the training dataset.
• You will need to choose or define an evaluation metric/measure.
• Accuracy is an example metric for a classification task.