Sensitivity and specificity

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Explores document length, normalization, bias compensation, and retrieval model evaluation in information retrieval.

Explains the statistical analysis of Genome-wide Association Studies and the importance of adjusting for multiple testing.

Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

Covers probability scenarios and includes a quiz using Kahoot.

Explores mutual inductance in inductive sensors, LVDT operation, synchronous rectification, and sensor characteristics.

Explores Generalized Linear Regression, Classification, confusion matrices, ROC curves, and noise in data.

Delves into the application of machine learning in enhancing human rights documentation and advocacy for organizations like HURIDOCS.

Explores piecewise linear specifications in choice models and their impact on sensitivity to travel time.

Explores machine learning model evaluation using leave-one-out, bootstrap, and performance metrics like recall and precision.