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.