Training data can be geometrically illustrated. Example: linear classifier.
Training Error
If the classifier classifies correctly 50% of the points, it misses 50% (training error 
) in the test data set, it’s equal to chance.
Hypothesis Space
Since each classifier represents a possible “hypothesis” regarding the data, the set of all possible classifiers could be viewed as the space of possible hypotheses.