Which features contribute to anomalies?
Within this dedicated section, the best explainable visualisations to understand anomalies are displayed. Anomalies are deviations or irregularities in data patterns that stand out from the expected or normal behavior. The primary objective of this section is to indicate how to analyse irrigularities in order to recognise which features contribute to anomalies.
Bar/Line Plot
Description
Example from XMANAI
A bar/line chart combines features of bar and line charts, using bars for discrete categories and lines to indicate trends over a continuous scale.
It is useful for illustrating relationships between two datasets, allowing emphasis on individual values and the overall pattern in a single representation.
A bar chart has been used in XMANAI to compare the trend of a sensor real values and predicted values in a specific range of time to let the user compare the values and create trust in the XAI models used.
