Gaussian data
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Gaussian data K=6, r=0.9, out-of-sample | Accuracy100 | 8 | |
| Classification | Gaussian data K=6, r=0.5, out-of-sample | Accuracy100 | 8 | |
| Classification | Gaussian data K=6, r=0.1, out-of-sample | Accuracy100 | 8 | |
| Classification | Gaussian data K=3, r=0.9, out-of-sample | Accuracy100 | 8 | |
| Classification | Gaussian data K=3, r=0.5, out-of-sample | Accuracy100 | 8 | |
| Classification | Gaussian data K=3, r=0.1 (out-of-sample) | Accuracy100 | 8 | |
| Parameter estimation | Gaussian data eps=20% (synthetic) | Median MSE(sigma)0.226 | 6 | |
| Parameter estimation | Gaussian data eps=10% (synthetic) | Median MSE(sigma)0.007 | 6 | |
| Parameter estimation | Gaussian data eps=5% (synthetic) | Median MSE(sigma)0 | 6 | |
| Parameter estimation | Gaussian data eps=0% (synthetic) | Median MSE(sigma)0 | 6 | |
| Parameter estimation | Gaussian data eps=1% (synthetic) | Metric- | 0 |
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