ues.</li>
<li>Global partial dependence plots visualizes, for a feature, the average of model prediction when this feature is set to specific values for all loaded data points.  For example, for an &quot;age&quot; feature, each datapoint loaded in WIT might be edited to have its values be 10, 20, 30, 40, 50, 60 , 70, 80, 90, and 100, and the model prediction for each data point with the age feature set to 10 is averaged, same for 20, etc. Those averaged predictions are then plotted against the feature value