geolip-conduit-experiments / cell_5_output.txt
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Loading Freckles v40 + CIFAR-10...
Precomputing train set...
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Train: 22%|β–ˆβ–ˆβ– | 87/391 [00:01<00:06, 47.03it/s]
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Train: 27%|β–ˆβ–ˆβ–‹ | 107/391 [00:02<00:06, 47.16it/s]
Train: 29%|β–ˆβ–ˆβ–Š | 112/391 [00:02<00:05, 47.15it/s]
Train: 30%|β–ˆβ–ˆβ–‰ | 117/391 [00:02<00:05, 47.14it/s]
Train: 31%|β–ˆβ–ˆβ–ˆ | 122/391 [00:02<00:05, 47.16it/s]
Train: 32%|β–ˆβ–ˆβ–ˆβ– | 127/391 [00:02<00:05, 47.15it/s]
Train: 34%|β–ˆβ–ˆβ–ˆβ– | 132/391 [00:02<00:05, 47.14it/s]
Train: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 137/391 [00:02<00:05, 47.13it/s]
Train: 36%|β–ˆβ–ˆβ–ˆβ–‹ | 142/391 [00:03<00:05, 47.11it/s]
Train: 38%|β–ˆβ–ˆβ–ˆβ–Š | 147/391 [00:03<00:05, 47.12it/s]
Train: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 152/391 [00:03<00:05, 47.13it/s]
Train: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 157/391 [00:03<00:04, 47.12it/s]
Train: 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 162/391 [00:03<00:04, 47.12it/s]
Train: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 167/391 [00:03<00:04, 47.12it/s]
Train: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 172/391 [00:03<00:04, 47.13it/s]
Train: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 177/391 [00:03<00:04, 47.13it/s]
Train: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 182/391 [00:03<00:04, 47.14it/s]
Train: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 187/391 [00:04<00:04, 47.13it/s]
Train: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 192/391 [00:04<00:04, 47.12it/s]
Train: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 197/391 [00:04<00:04, 47.13it/s]
Train: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 202/391 [00:04<00:04, 47.14it/s]
Train: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 207/391 [00:04<00:03, 47.14it/s]
Train: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 212/391 [00:04<00:03, 47.12it/s]
Train: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 217/391 [00:04<00:03, 47.10it/s]
Train: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 222/391 [00:04<00:03, 47.11it/s]
Train: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 227/391 [00:04<00:03, 47.08it/s]
Train: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 232/391 [00:04<00:03, 47.08it/s]
Train: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 237/391 [00:05<00:03, 47.04it/s]
Train: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 242/391 [00:05<00:03, 47.03it/s]
Train: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 247/391 [00:05<00:03, 47.03it/s]
Train: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 252/391 [00:05<00:02, 47.02it/s]
Train: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 257/391 [00:05<00:02, 47.06it/s]
Train: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 262/391 [00:05<00:02, 47.12it/s]
Train: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 267/391 [00:05<00:02, 47.12it/s]
Train: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 272/391 [00:05<00:02, 47.11it/s]
Train: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 277/391 [00:05<00:02, 47.09it/s]
Train: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 282/391 [00:06<00:02, 47.08it/s]
Train: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 287/391 [00:06<00:02, 47.07it/s]
Train: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 292/391 [00:06<00:02, 47.04it/s]
Train: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 297/391 [00:06<00:01, 47.02it/s]
Train: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 302/391 [00:06<00:01, 47.03it/s]
Train: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 307/391 [00:06<00:01, 47.05it/s]
Train: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 312/391 [00:06<00:01, 47.05it/s]
Train: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 317/391 [00:06<00:01, 47.09it/s]
Train: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 322/391 [00:06<00:01, 47.11it/s]
Train: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 327/391 [00:07<00:01, 47.08it/s]
Train: 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 332/391 [00:07<00:01, 47.06it/s]
Train: 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 337/391 [00:07<00:01, 47.14it/s]
Train: 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 342/391 [00:07<00:01, 47.18it/s]
Train: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 347/391 [00:07<00:00, 47.19it/s]
Train: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 352/391 [00:07<00:00, 47.24it/s]
Train: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 357/391 [00:07<00:00, 47.20it/s]
Train: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 362/391 [00:07<00:00, 47.22it/s]
Train: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 367/391 [00:07<00:00, 47.24it/s]
Train: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 372/391 [00:07<00:00, 47.21it/s]
Train: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 377/391 [00:08<00:00, 47.17it/s]
Train: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 382/391 [00:08<00:00, 47.19it/s]
Train: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 391/391 [00:08<00:00, 46.29it/s]
Train: 50000 images
Precomputing test set...
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Test: 8%|β–Š | 6/79 [00:00<00:02, 30.09it/s]
Test: 14%|β–ˆβ– | 11/79 [00:00<00:01, 37.54it/s]
Test: 20%|β–ˆβ–ˆ | 16/79 [00:00<00:01, 41.19it/s]
Test: 27%|β–ˆβ–ˆβ–‹ | 21/79 [00:00<00:01, 43.26it/s]
Test: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 26/79 [00:00<00:01, 44.51it/s]
Test: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 31/79 [00:00<00:01, 45.31it/s]
Test: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 36/79 [00:00<00:00, 45.88it/s]
Test: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/79 [00:00<00:00, 46.23it/s]
Test: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 46/79 [00:01<00:00, 46.49it/s]
Test: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 51/79 [00:01<00:00, 46.62it/s]
Test: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 56/79 [00:01<00:00, 46.74it/s]
Test: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 61/79 [00:01<00:00, 46.81it/s]
Test: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 66/79 [00:01<00:00, 46.82it/s]
Test: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 71/79 [00:01<00:00, 46.89it/s]
Test: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 79/79 [00:01<00:00, 42.76it/s] Test: 10000 images
======================================================================
SPATIAL CONV READOUT β€” All conduit configurations
======================================================================
──────────────────────────────────────────────────────────────────────
Training: Eigenvalues (S) only β€” 4ch
──────────────────────────────────────────────────────────────────────
ep 5 train=9.9% test=10.0%
ep 10 train=9.9% test=10.0%
ep 15 train=13.8% test=15.1%
ep 20 train=16.7% test=15.9%
ep 25 train=19.4% test=19.0%
ep 30 train=20.4% test=20.9%
Eigenvalues (S) only β€” 4ch
Channels: 4, Params: 232,714, Time: 28s
Best test: 20.9%
Class Acc
----------------------
airplane 53.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 4.3%
bird 3.6%
cat 0.3%
deer 3.3%
dog 26.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 51.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 7.1% β–ˆ
ship 8.2% β–ˆ
truck 51.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
──────────────────────────────────────────────────────────────────────
Training: Friction only β€” 4ch
──────────────────────────────────────────────────────────────────────
ep 5 train=30.0% test=31.6%
ep 10 train=38.5% test=38.4%
ep 15 train=42.2% test=42.9%
ep 20 train=43.7% test=43.3%
ep 25 train=45.4% test=45.5%
ep 30 train=45.8% test=45.8%
Friction only β€” 4ch
Channels: 4, Params: 232,714, Time: 28s
Best test: 45.8%
Class Acc
----------------------
airplane 49.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 56.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 25.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 28.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
deer 33.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 40.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 57.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 53.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 59.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 52.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
──────────────────────────────────────────────────────────────────────
Training: Release error only β€” 1ch
──────────────────────────────────────────────────────────────────────
ep 5 train=9.9% test=10.0%
ep 10 train=9.8% test=10.0%
ep 15 train=10.1% test=10.0%
ep 20 train=9.9% test=10.0%
ep 25 train=9.9% test=10.0%
ep 30 train=10.0% test=10.0%
Release error only β€” 1ch
Channels: 1, Params: 230,986, Time: 27s
Best test: 10.0%
Class Acc
----------------------
airplane 0.0%
auto 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 0.0%
cat 0.0%
deer 0.0%
dog 0.0%
frog 0.0%
horse 0.0%
ship 0.0%
truck 0.0%
──────────────────────────────────────────────────────────────────────
Training: Settle only β€” 4ch
──────────────────────────────────────────────────────────────────────
ep 5 train=9.8% test=10.0%
ep 10 train=9.8% test=10.0%
ep 15 train=9.9% test=10.0%
ep 20 train=9.8% test=10.0%
ep 25 train=9.8% test=10.0%
ep 30 train=10.0% test=10.0%
Settle only β€” 4ch
Channels: 4, Params: 232,714, Time: 28s
Best test: 10.0%
Class Acc
----------------------
airplane 0.0%
auto 100.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 0.0%
cat 0.0%
deer 0.0%
dog 0.0%
frog 0.0%
horse 0.0%
ship 0.0%
truck 0.0%
──────────────────────────────────────────────────────────────────────
Training: S + Friction β€” 8ch
──────────────────────────────────────────────────────────────────────
ep 5 train=30.0% test=33.1%
ep 10 train=37.0% test=39.8%
ep 15 train=40.1% test=41.6%
ep 20 train=41.9% test=43.4%
ep 25 train=42.9% test=43.8%
ep 30 train=43.3% test=44.2%
S + Friction β€” 8ch
Channels: 8, Params: 235,018, Time: 29s
Best test: 44.2%
Class Acc
----------------------
airplane 48.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 52.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 29.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 27.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
deer 33.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 35.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 58.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 50.1% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 58.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 49.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
──────────────────────────────────────────────────────────────────────
Training: S + Release error β€” 5ch
──────────────────────────────────────────────────────────────────────
ep 5 train=9.8% test=10.0%
ep 10 train=9.8% test=10.0%
ep 15 train=10.4% test=10.0%
ep 20 train=18.3% test=20.2%
ep 25 train=22.4% test=23.0%
ep 30 train=23.4% test=23.5%
S + Release error β€” 5ch
Channels: 5, Params: 233,290, Time: 29s
Best test: 23.8%
Class Acc
----------------------
airplane 46.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 16.6% β–ˆβ–ˆβ–ˆ
bird 1.5%
cat 0.4%
deer 3.4%
dog 33.5% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 46.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 9.2% β–ˆ
ship 37.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 39.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
──────────────────────────────────────────────────────────────────────
Training: S + Friction + Release β€” 9ch
──────────────────────────────────────────────────────────────────────
ep 5 train=31.0% test=34.0%
ep 10 train=37.0% test=38.8%
ep 15 train=40.4% test=41.4%
ep 20 train=42.6% test=43.2%
ep 25 train=43.6% test=43.7%
ep 30 train=43.9% test=44.1%
S + Friction + Release β€” 9ch
Channels: 9, Params: 235,594, Time: 30s
Best test: 44.2%
Class Acc
----------------------
airplane 48.9% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 52.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 29.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 28.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
deer 32.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 35.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 56.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 49.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 58.6% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 49.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
──────────────────────────────────────────────────────────────────────
Training: FULL CONDUIT β€” 13ch
──────────────────────────────────────────────────────────────────────
ep 5 train=29.7% test=31.5%
ep 10 train=37.1% test=37.7%
ep 15 train=40.6% test=41.3%
ep 20 train=42.4% test=43.1%
ep 25 train=43.6% test=43.7%
ep 30 train=44.3% test=44.5%
FULL CONDUIT β€” 13ch
Channels: 13, Params: 237,898, Time: 31s
Best test: 44.6%
Class Acc
----------------------
airplane 48.4% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
auto 55.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
bird 27.3% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
cat 27.8% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
deer 33.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
dog 36.7% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
frog 57.0% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
horse 51.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
ship 58.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
truck 50.2% β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
======================================================================
SCOREBOARD β€” Spatial Conv Readout
======================================================================
Configuration Channels Params Test Acc
-----------------------------------------------------------------
Chance β€” β€” 10.0%
Release error only β€” 1ch E 230,986 10.0%
Settle only β€” 4ch T 232,714 10.0%
Eigenvalues (S) only β€” 4ch S 232,714 20.9%
S + Release error β€” 5ch SE 233,290 23.8%
S + Friction + Release β€” 9ch SFE 235,594 44.2%
S + Friction β€” 8ch SF 235,018 44.2%
FULL CONDUIT β€” 13ch SFET 237,898 44.6%
Friction only β€” 4ch F 232,714 45.8%
--- REFERENCE (from earlier) ---
Linear probe (friction flat) β€” β€” 24.3%
Linear probe (S flat) β€” β€” 21.0%
Patchwork + calibrated embeds β€” 530K 48.0%
Scatter + conv (raw S) β€” 2.9M 70.5%
CNN condensed (SGD) β€” 730K 74.7%
S-only conv: 20.9%
Best conduit: 45.8% (Friction only β€” 4ch)
Conduit lift: +24.8pp
vs scatter+conv reference: -24.7pp