December 2016
Beginner
388 pages
8h 35m
English
Content preview from Principles of Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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A bit deeper
Without getting too deep into the machine learning terminology, this test is what is known as a binary classifier, which means that it is trying to predict from only two options: have cancer or no cancer. When we are dealing with binary classifiers, we can draw what are called confusion matrices, which are 2 x 2 matrices that house all the four possible outcomes of our experiment.
Let's try some different numbers. Let's say 165 people walked in for the study. So, our n (sample size) is 165 people. All 165 people are given the test and asked if they have cancer (provided through various other means). The following confusion matrix shows us the results of this experiment:
The matrix shows that 50 people were predicted to have no cancer ...
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