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Autonomous rollout classification on Dataset E sub-cl. MoG
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99.63
Mean Training Accuracy
KOMET
94.6485
97.13925
99.63
102.12075
Mar 27, 2026
Mean Training Accuracy
Minimum Training Accuracy
Koopman Auto Mean Accuracy
Koopman Auto Minimum Accuracy
Steps Below 90% (Auto)
Retrained Upper Bound Accuracy
Frozen Mean Accuracy
Frozen Steps Below 90%
dCor Mean (Off-Diagonal)
dCor Pairs > 0.5 Count
TE Ratio L1/L2
Updated 19d ago
Evaluation Results
Method
Method
Links
Mean Training Accuracy
Minimum Training Accuracy
Koopman Auto Mean Accuracy
Koopman Auto Minimum Accuracy
Steps Below 90% (Auto)
Retrained Upper Bound Accuracy
Frozen Mean Accuracy
Frozen Steps Below 90%
dCor Mean (Off-Diagonal)
dCor Pairs > 0.5 Count
TE Ratio L1/L2
KOMET
Drift type=sub-cl. MoG...
2026.03
99.63
96.97
99.65
97.98
0
-
-
-
0.572
54
1.22
Retrained (upper bound)
Drift type=sub-cl. MoG...
2026.03
-
-
-
-
-
99.64
-
-
-
-
-
Frozen
Drift type=sub-cl. MoG...
2026.03
-
-
-
-
-
-
33.79
77
-
-
-
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