Clustering job
Inspect a public read-only replay of the saved-job experience, including setup, results, predictions, and billing.
Public demo mode blocks training, downloads, prediction calls, report generation, and wallet mutations.
Job Status: Completed
From model comparison to monitored use
Complete the required evidence before using this model for prediction.
This diagnostic workflow recommends an approach; it does not claim a supervised production default.
A separately recorded locked test evaluation is required.
Diagnostic workflows do not create a supervised deployment refit.
Calibration and utility evidence has not been recorded.
Evaluation scoring may be available for review, but production prediction is blocked until the approved deployment refit artifact is saved.
After scoring begins, the app will check input compatibility and prediction outputs. Add observed outcomes when available to monitor real-world performance.
View lifecycle evidence sources
model_selection_conformance.jsonsupports selection.deployment_refit_contract.jsonsupports deployment.calibration_utility_evidence.jsonsupports calibration utility.
Can this result be used?
Check what is ready, what needs attention, and whether a reviewer has approved the result.
View checks behind this decision
These checks explain why the result is ready, needs review, or cannot be used yet.
| What was checked | Status | What it means |
|---|---|---|
| No review evidence checks were generated for this job. | ||
Results
Exploratory Data Analysis
Data check summary
Status: Unknown
The data review is complete. Open the technical checks if you need more detail.
What needs attention
- Public demo mode is read-only. It can display saved artifacts but cannot run compute or mutate billing.
- Demo boundary: Use a signed-in workspace to upload data, preview readiness, and launch real training.
View service-specific checks
Service Checks
Checks saved for this Longitudinal workflow.
2. Final Test Performance
| Model | Silhouette Score | Silhouette Score CI | Davies-Bouldin Score | Davies-Bouldin Score CI | Calinski-Harabasz Score | Calinski-Harabasz Score CI | N Clusters | N Noise Points | Selection | Training Time (s) |
|---|---|---|---|---|---|---|---|---|---|---|
| Candidate HDBSCAN Selection evidence required | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | - | N/A |
| KMeans | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | - | N/A |
| Agglomerative | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | - | N/A |
| DBSCAN | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | - | N/A |
SHAP Analysis
Public demo mode shows saved SHAP/explainability artifacts only.
AI Report Not Run Study context added
AI report generatedSaved methods notes
longitudinal_classification job; 0 effective model(s); explainability not_requested
Study Objectives:
Which facilities have similar operational profiles without using a target label?
Generate the report only when you are ready to spend report credits.
Your analysis is complete, but no written report has been created yet. Add the study question and background, check the details, review the cost, then generate both report views.
Generating AI Report
Initializing AI report workflow...
Billing & Credit Usage
Plan guardrails for this job
Training plus any SHAP or AI report charges tied to this job.
Most recent balance after the related payment activity.
Derived from reservation, charge, and refund activity for this job.
Credits are refunded when a job fails or when settlement keeps fewer credits than were debited up front.
Training, SHAP, and AI report charges
Billing Timeline
job:demo-clustering-segmentsWallet activity for this job
| Date | Reference | Change | Reason | Balance After |
|---|---|---|---|---|
| saved job | job:demo-clustering-segments |
-0.00 | Training charge recorded on the source completed job. | 0.00 |
Technical details and audit metadata
Job ID: demo-clustering-segments
Service: Clustering
Created:N/A
Status: Completed Demo Replay
Duration: N/A