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# ================================================================================
# ================================= CORE METRICS =================================
# ================================================================================
===== FINAL SUMMARY =====
Best epoch : 128
Train accuracy : 0.988000
Val accuracy : 0.985333
Train loss : 0.012553
Val loss : 0.014648
Threshold : 0.520000
Test accuracy : 0.988000
Test loss : 0.051786 ===== TRAIN =====
Classification Report| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.991773 | 0.999585 | 0.995664 | 2412.000000 |
| 1 | 0.999065 | 0.981618 | 0.990264 | 1088.000000 |
| accuracy | 0.994000 | 0.994000 | 0.994000 | 3500.000000 |
| macro avg | 0.995419 | 0.990602 | 0.992964 | 3500.000000 |
| weighted avg | 0.994040 | 0.994000 | 0.993985 | 3500.000000 |
| Positive (1) | Negative (0) | |
|---|---|---|
| Positive (1) | 1068 | 1 |
| Negative (0) | 20 | 2411 |
AUC/AUPRC AUC (ROC): 0.999775 AUPRC: 0.999513
===== VALIDATION =====
Classification Report| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.983773 | 0.989796 | 0.986775 | 490.000000 |
| 1 | 0.980545 | 0.969231 | 0.974855 | 260.000000 |
| accuracy | 0.982667 | 0.982667 | 0.982667 | 750.000000 |
| macro avg | 0.982159 | 0.979513 | 0.980815 | 750.000000 |
| weighted avg | 0.982654 | 0.982667 | 0.982643 | 750.000000 |
| Positive (1) | Negative (0) | |
|---|---|---|
| Positive (1) | 252 | 5 |
| Negative (0) | 8 | 485 |
AUC/AUPRC AUC (ROC): 0.994168 AUPRC: 0.975018
===== TEST =====
Classification Report| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.990584 | 0.992453 | 0.991517 | 530.000000 |
| 1 | 0.981735 | 0.977273 | 0.979499 | 220.000000 |
| accuracy | 0.988000 | 0.988000 | 0.988000 | 750.000000 |
| macro avg | 0.986159 | 0.984863 | 0.985508 | 750.000000 |
| weighted avg | 0.987988 | 0.988000 | 0.987992 | 750.000000 |
| Positive (1) | Negative (0) | |
|---|---|---|
| Positive (1) | 215 | 4 |
| Negative (0) | 5 | 526 |
AUC/AUPRC AUC (ROC): 0.998306 AUPRC: 0.996166
Scenario D emits three structured log tables that document ensemble behavior and make the MAIN vs TEMP workflow auditable and reproducible.
Main Log (main_log) —
Iteration-level snapshots of the Primary (MAIN) ensemble state and
evaluation results under the selected metric.
Movement Log (movement_log) —
Deterministic promotion and replacement events between TEMP and MAIN
(what moved, directionality, and why).
Change Log (change_log) —
Per-iteration update diagnostics and structural deltas recorded during
training and selection steps.
These tables are returned in res_D$runs[[1]]$tables.
The previews below are capped for vignette readability.
| serial | iteration | phase | metric_name | metric_value | message | timestamp |
|---|---|---|---|---|---|---|
| 0.0.1 | 1 | main_before | accuracy | 0.9786667 | 2026-03-08 22:57:12 | |
| 0.0.2 | 1 | main_before | accuracy | 0.9840000 | 2026-03-08 22:57:12 | |
| 0.0.1 | 1 | main_after | accuracy | 0.9826667 | 2026-03-08 22:59:31 | |
| 0.0.2 | 1 | main_after | accuracy | 0.9760000 | 2026-03-08 22:59:31 | |
| 0.0.1 | 2 | main_before | accuracy | 0.9826667 | 2026-03-08 22:59:31 | |
| 0.0.2 | 2 | main_before | accuracy | 0.9760000 | 2026-03-08 22:59:31 | |
| 0.0.1 | 2 | main_after | accuracy | 0.9826667 | 2026-03-08 23:01:47 | |
| 0.0.2 | 2 | main_after | accuracy | 0.9760000 | 2026-03-08 23:01:47 |
| serial | iteration | message | timestamp |
|---|---|---|---|
| 0.0.2 | 1 | removed (no replacement) | 2026-03-08 22:59:31 |
| 0.0.2 | 2 | removed (no replacement) | 2026-03-08 23:01:47 |
| serial | iteration | message | timestamp |
|---|---|---|---|
| 0.0.2 | 1 | model removed from main | 2026-03-08 22:59:31 |
| 0.0.2 | 2 | model removed from main | 2026-03-08 23:01:47 |
Note: Tables below are preview-capped for vignette
readability. Full tables remain available in res_D\(runs[[1]]\)tables. Artifact writing
is OFF by default for CRAN-safety.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.