Diagnostic model comparison

What it shows

The AUC of four classifiers for each disease, as a table and bar chart, and an ROC curve where a threshold slider shows the sensitivity and false positive tradeoff.

How it maps to my work

The AUC values are the reported results of my M.Tech thesis on an external test set. The ROC curve is a binormal curve drawn to match the selected AUC, not the thesis curve itself. See M.Tech thesis.

Data source

AUC values: thesis results. ROC curve: synthetic data for illustration.