How to Predict Room Occupancy Based on Environmental Factors

Small computers, such as Arduino devices, can be used within buildings to record environmental variables from which simple and useful properties can be predicted. One example is predicting whether a room or rooms are occupied based on environmental measures such as temperature, humidity, and related measures. This is a type of common time series classification problem called room occupancy classification. In this tutorial, you will discover a standard multivariate time series classification problem for predicting room occupancy using the measurements of environmental variables. A standard time series classification data set is the "Occupancy Detection" problem available on the UCI Machine Learning repository.