This chapter has covered the important topic of reducing data size by both the removal of examples and attributes. This is important to speed up processing time, and in some cases can even improve classification accuracy. Generally though, classification accuracy reduces as data reduces.

The next chapter continues the performance theme from a different angle and gives some methods for measuring and estimating the performance of processes containing sequences of operators.