Select any random point from the testing set or input your own features.
Enter the column entries as a CSV in the form below in order of the columns:
Step 4: Prediction
The datapoint of the test set belongs to class . The system can respond to counterfactual queries. Ask it questions like 'Why P[=Predicted Category] not Q [=Desired category]'. The system will generate explanation in Natural language, Histogram and provide Counterfactual Datapoints. Possible classes are:
Each tab shows varying kind of predictions. Depending on the context and requirement, appropriate level of predictions may be made available to the user.
See table below
Why not ?