Read-only upload replay 0 credits
Cross-Sectional Classification

Hospital Readmission Risk

This page shows the upload form, role mapping, readiness preview, model selection, and cost confirmation recorded for the completed source job.

Demo boundary
Actual job evidence, no upload

The controls below replay the completed job setup and are intentionally disabled.

Upload forms stay visible enough to teach the workflow.
This replay is sourced from saved outputs from completed jobs; real users still sign in before launching their own jobs.
1
Load dataset demo-tabular-classification_source_dataset
2
Map roles Target, features, and service-specific columns
3
Preview readiness Pass
4
Launch saved job 42 seconds replay
Step 1 and 2

Dataset and role mapping before readiness

1200 rows, 12 features, CSV.
Step 3

Preview Data Readiness completed successfully

Pass
Preview readiness
Required roles were mapped and no blocking schema issues were found.
Compare models
Logistic regression, random forest, LightGBM, and CatBoost were compared.
Review outputs
Metrics, plots, feature importance, and report summary are available.
Saved evidence created for review
Data setup Analysis checks Model explanation Reproducibility boundary Methods appendix
Step 4

Training configuration that launched the saved job

Preset
Saved job configuration
Models
4
Reserved
0 credits
CatBoost LightGBM Random Forest Logistic Regression
Validation split
0.2 holdout
Runtime mode
Recorded completed job
Source job
saved job
Open completed job