Data similarity estimation on Synthetic
1Oracle CLSLogistic Reg.
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Logistic Reg.Setting=Logistic Regression2025.10 | 1 | 1 | 1 | 0 | 0 | 0.156 | |
| Probit ModelSetting=Probit Model2025.10 | 1 | 1 | 1 | 0 | 0 | 0.035 | |
| LDASetting=Linear Discriminant Analysis2025.10 | 1 | 1 | 1 | 0.53 | 0.078 | 0.071 | |
| Mixture Gaus.Setting=Mixture Gaussian2025.10 | 1 | 1 | 1 | 0.791 | 0.973 | 0.99 | |
| Linear Regr.Setting=Linear Regression2025.10 | 1 | 1 | 1 | 0 | 0 | — | |
| Nonlinear Regr.Setting=Nonlinear Regression2025.10 | 1 | 1 | 1 | 0 | 0 | — | |
| 4-Class Class.Setting=4-Class Classification2025.10 | 1 | 1 | 1 | 0 | 0 | 1 |