What information are more relevant for the predicted results?
Within this section, you will encounter the best explainable visualisations to discern the relevant information crucial for predictions. The primary focus here is to assist in post-prediction analysis, aiding you in comprehending the significance of various factors once a prediction has been generated.
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.
