August 2025
Beginner
236 pages
7h 51m
English
Content preview from Machine Learning and AI for Absolute Beginners
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SETTING UP YOUR DATA
After cleaning your dataset, the next job is to split the data into two segments for training and testing, also known as split validation. The ratio of the two splits is usually 70/30 or 80/20. This means, assuming that your variables are expressed horizontally and instances vertically (as shown in Figure 13), that your training data should account for 70 percent to 80 percent of the rows in your dataset, and the remaining 20 percent to 30 percent of rows are left for your test data.
Figure 13: 70/30 partitioning of training and test data
While it’s common to split the data 70/30 or 80/20, there is no ...
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