Predictive Modeling on CPI OECD World Bank (remaining 5%)
0.059Training Time (s)dPCA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| dPCAFactor dimensions (k, r)=(2,2), Computing nodes (s1, s2)=(9,9)2026.01 | 0.059 | 0.435 | 0 | |
| dPCAFactor dimensions (k, r)=(3,1), Computing nodes (s1, s2)=(4,10)2026.01 | 0.062 | 0.439 | 0 | |
| dPCAFactor dimensions (k, r)=(3,3), Computing nodes (s1, s2)=(4,6)2026.01 | 0.067 | 0.465 | 0 | |
| dPCAFactor dimensions (k, r)=(3,2), Computing nodes (s1, s2)=(4,9)2026.01 | 0.07 | 0.46 | 0 | |
| dPCAFactor dimensions (k, r)=(4,4), Computing nodes (s1, s2)=(1,6)2026.01 | 0.105 | 0.476 | 0 | |
| dPCAFactor dimensions (k, r)=(4,3), Computing nodes (s1, s2)=(1,6)2026.01 | 0.11 | 0.471 | 0 | |
| dPCAFactor dimensions (k, r)=(4,3), Computing nodes (s1, s2)=(1,3)2026.01 | 0.123 | 0.46 | 0 | |
| α-PCAFactor dimensions (k, r)=(4,4), Computing nodes (s1, s2)=(1,6)2026.01 | 0.21 | 0.469 | — | |
| α-PCAFactor dimensions (k, r)=(4,3), Computing nodes (s1, s2)=(1,6)2026.01 | 0.213 | 0.467 | — | |
| α-PCAFactor dimensions (k, r)=(3,2), Computing nodes (s1, s2)=(4,9)2026.01 | 0.214 | 0.437 | — | |
| α-PCAFactor dimensions (k, r)=(4,3), Computing nodes (s1, s2)=(1,3)2026.01 | 0.214 | 0.443 | — | |
| α-PCAFactor dimensions (k, r)=(3,3), Computing nodes (s1, s2)=(4,6)2026.01 | 0.216 | 0.458 | — | |
| α-PCAFactor dimensions (k, r)=(2,2), Computing nodes (s1, s2)=(9,9)2026.01 | 0.229 | 0.426 | — | |
| α-PCAFactor dimensions (k, r)=(3,1), Computing nodes (s1, s2)=(4,10)2026.01 | 0.242 | 0.429 | — |