Batch underwriting

Process multiple applications without losing review clarity.

Use the queue to validate a CSV, run batch scoring, and review the outcome as clean decision cards. The hero now introduces the page as an operational workflow instead of a technical experiment.

Single InferenceTest an individual profile

Use the sandbox environment to manually tweak features and explore XAI outputs.

Phase 1

Feature Schema Verification

Ensure the dataset matches the input vectors expected by the model.

GenderMarriedDependentsEducationSelf_EmployedApplicantIncomeCoapplicantIncomeLoanAmountLoan_Amount_TermCredit_HistoryProperty_Area

Ada OkonkwoUrban

Loan: 180
Term: 30 yr
History: Positive

Emeka BelloRural

Loan: 120
Term: 20 yr
History: Limited

Ngozi EzeSemiurban

Loan: 280
Term: 30 yr
History: Positive

Use this template to bypass schema validation errors.

Phase 2

Upload & Execute Pipeline

Trigger the batch prediction logic.

Drop a CSV dataset here

or choose one from your local device

CSV format only | Max payload: 5 MB

Rows Ready0

Pipeline StatusAwaiting payload

Upload dataset to unlock the execution pipeline.

Logs

Run the pipeline to populate inference logs

Processed rows will appear here as summarized output cards. The complete payload with raw probabilities remains available for download to avoid UI blocking.