November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Data splitting
The next step in our preprocessing is splitting the data. We covered data splitting in detail in Chapter 8, Database Development and Assessment, so we won't revisit the topic here.
However, recall that the process of data splitting will have the objective of creating both a training subset of data as well as a testing subset of data, from the original dataset or source (based on appropriate logic).
For example, we could accomplish our data split by randomly splitting the data into a train and a test set, then fit a linear regression model and test it on the test dataset (or use the split method we used in the last chapter, to create a 70/30 split of our data).
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