I would like to apply AI in predicting Sick Building Syndrome (SBS) with Indoor Air Quality parameters. I applied neuralnet package to establish parsimonious model.
Input (Numerical-Indoor Air Quality parameters)
Temperature
Humidity
Air movement
Carbon dioxide
Respirable particles
Bacterial count
Fungal count
Output (categorical 0=No-SBS, 1=SBS)
I have difficulty in checking the accuracy, specificity, and sensitivity of the model. Can help me share the related link for codes can be applied. Thank you.