Topic 2.1 of Supervised Learning for Cybersecurity

The Supervised Learning Question

Every supervised model in this unit predicts a label y from a feature vector x, and why the training split and test split must never be the same data.

~5 min total·4 quadrants of structured content

By the end of this topic, you will

State the general supervised learning question in terms of features x and label y
Explain why a model must never be evaluated on the data it trained on
Name the typical proportion of data held out for testing in this course

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Quadrant 2 · e-Content

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The Supervised Learning Question

Every supervised model in this unit answers one question in one shape: given a vector of features, predict a label. The honesty of that prediction depends entirely on never testing a model on data it trained on.

The Supervised Learning Question

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