Subjective Randomness Modeling on Human data subjective randomness (pooled)
-7,152.2ELPD-LOOMinkowski typicality
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Minkowski typicalityType=Win, k (free parameters)=62026.06 | -7,152.2 | 0 | 0 | 0.131 | 0.664 | |
| Evidence acc., itemType=Win, k (free parameters)=72026.06 | -7,180.3 | 28.1 | 9.3 | 0.133 | 0.651 | |
| Evidence acc., runType=Win, k (free parameters)=72026.06 | -7,197.8 | 45.5 | 9.4 | 0.136 | 0.635 | |
| Bayesian diag. + balanceType=Win, k (free parameters)=62026.06 | -7,254.3 | 102.1 | 16.9 | 0.145 | 0.587 | |
| Bayesian diagnosticityType=Seed, k (free parameters)=52026.06 | -7,281.9 | 129.7 | 18.8 | 0.149 | 0.563 | |
| Prototype similarityType=Seed, k (free parameters)=42026.06 | -7,365.1 | 212.9 | 18.5 | 0.158 | 0.513 | |
| Window typicalityType=Seed, k (free parameters)=42026.06 | -7,659.3 | 507.1 | 33 | 0.187 | 0.31 | |
| Encoding compressibilityType=Seed, k (free parameters)=42026.06 | -7,661.4 | 509.2 | 31.8 | 0.187 | 0.316 |