Lecture

Hypothesis Testing and ROC Curves

In course

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Description

This lecture covers hypothesis testing, including steps like identifying parameters, formulating hypotheses, computing test statistics, and interpreting p-values. It also introduces ROC curves, explaining their use in comparing tests and assessing classifier performance.

Official source

https://mediaspace.epfl.ch/media/0_0ksotgnp

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Data analysis: Statistical classification

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