Choose Dataset

Step 2: Choose Model

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:

Why not


Explain Prediction:

Each tab shows varying kind of predictions. Depending on the context and requirement, appropriate level of predictions may be made available to the user.

Original Datapoint

See table below

Natural Language

Why ?

Why not ?