Reserve the DisjointCNN name for the port, move aeon's results aside

multiverse/experiments/tables.py

@@ -1148,16 +1148,18 @@ def main() -> None:
     Uses every estimator with results in the repository, including the Dummy
     baseline, over the Multiverse-core datasets all of them have results for.
 
-    DisjointCNN is held back. Its results are in the repository but they are
-    around 20 accuracy points below the authors' published numbers on all 23
-    shared datasets, so the run measures aeon's implementation rather than the
-    method, and listing it would read as a claim about the method. Remove it
-    from ``exclude`` once that is resolved.
+    DisjointCNN-Aeon is held back. Those results are around 20 accuracy points
+    below the authors' published numbers on all 23 shared datasets, because
+    aeon's network applies a Permute after the final block and its pooling then
+    reduces the wrong axes, leaving the classifier head one feature instead of
+    64 (aeon issue #3775). They are kept as evidence for that issue rather than
+    deleted, but listing them would read as a claim about the method. The
+    Multiverse port of the same method reports under DisjointCNN.
     """
     from aeon.datasets.tsc_datasets import multiverse_core
 
     datasets = sorted(multiverse_core)
-    estimators = available_estimators(exclude=("DisjointCNN",))
+    estimators = available_estimators(exclude=("DisjointCNN-Aeon",))
     print(f"estimators: {', '.join(estimators)}")
 
     path = leaderboard(

results/multiverse/missing_results.csv

@@ -32,7 +32,7 @@ TDE,STEW,cancelled before completion,,controller report
 TDE,Tiselac,Time limit,,controller report
 TDE,USCActivity,Time limit,,controller report
 TSF,AustraliaRainfall_disc,not recorded,,
-DisjointCNN,EmoPain,ValueError: input collection has too little variation (std <= 1e-07),"Raised by aeon input validation before fit, so it affects any aeon classifier; 2 attempts",DeepLearning/output/DisjointCNN/EmoPain/1476290-1.err
+DisjointCNN-Aeon,EmoPain,ValueError: input collection has too little variation (std <= 1e-07),"Raised by aeon input validation before fit, so it affects any aeon classifier; 2 attempts",DeepLearning/output/DisjointCNN/EmoPain/1476290-1.err
 TimesURL,EmoPain,ValueError: input collection has too little variation (std <= 1e-07),"Inferred, not read from a log: no TimesURL job logs were copied across. aeon raises this before fit for EmoPain, so it stops every aeon classifier, and it is the recorded cause for ConvTran, PatchMTSC and DisjointCNN",
 TS2Vec,EmoPain,"ValueError: input collection has too little variation (std <= 1e-07)","Raised by aeon input validation before fit, so it affects any aeon classifier; 1733 case/channel pairs flagged",DeepLearning/output/TS2Vec/EmoPain
 TS2Vec,AustraliaRainfall_disc,Timed out at 60 hours,"Elapsed 2-12:00:00 against a 2-12:00:00 limit, using about 3 GB, so time rather than memory. The port omitted the authors' MAX_SAMPLES cap on the SVM probe, making the grid search unaffordable on large collections; fixed, and these are rerunnable",DeepLearning/output/TS2Vec/AustraliaRainfall_disc