The document discusses the challenges faced in achieving high accuracy in supervised machine learning for IoT sensor measurements. It highlights various factors that affect performance, such as data quality, sensor calibration, and algorithm selection. The paper also suggests potential solutions to improve measurement accuracy.

1. Challenges of Getting Supervised
Machine Learning to achieve Accuracy
in IoT Sensor measurements
Dr Tan Guan Hong