Prediction Confidence
Robustness indicator of a classification or regression predictive model.
The prediction confidence indicates the capacity of the predictive model to achieve the same performance when it is applied to a new data source, which has the same characteristics as the training data source. If the distribution of data is different between the two data sources, the predictive model is no longer useful.
How to interpret the indicator?
Prediction Confidence takes a value between 0% and 100%. This value should be as close as possible to 100%. To improve your Prediction Confidence, you can add new rows to your data source, for example.