HIGHLIGHTS
- who: Alexandra Fanca from the Technical University of Cluj Napoca, Cluj Napoca, Romania have published the research: Monitoring and Prediction of Indoor Air Quality for Enhanced Occupational Health, in the Journal: (JOURNAL)
- what: The paper presents a prediction model of RH using Azure Machine Learning Studio (Azure ML Studio). The aim is to detect the level of seven gases: ozone (O3), PM, CO, NOX, SO2, VOC, and CO2.
- how: The model is evaluated using metrics Mean Absolute Error (MAE) Root Mean Squared Error (RMSE) Relative Absolute Error (RAE) Relative Squared Error (RSE) and . . .
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