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Longitudinal Classification

Repeated-Visit Risk Stratification

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-longitudinal-classification_source_dataset
2
Map roles Target, features, and service-specific columns
3
Preview readiness Pass with notes
4
Launch saved job 8 minutes replay
Step 1 and 2

Dataset and role mapping before readiness

2391 rows, 8 features, Parquet.
Step 3

Preview Data Readiness completed successfully

Pass with notes
Map repeated-measure roles
Subject and time columns were confirmed before readiness preview.
Apply runtime guardrails
Heavy mixed-effects models were checked against the interactive runtime budget.
Review repeated-measure outputs
Model metrics, confidence intervals, and guardrail notes 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
GPBoost Classifier Fixed Effects Logistic HCB REEM CatBoost
Validation split
0.2 holdout
Runtime mode
Recorded completed job
Source job
saved job
Open completed job