Probabilistic calibration assessment – ensemble model
| Probability bin | Mean predicted probability | Observed failure rate | Bin size (n) | Absolute error |
|---|---|---|---|---|
| 0.0 – 0.1 | 0.05 | 0.04 | 214 | 0.01 |
| 0.1 – 0.2 | 0.15 | 0.14 | 226 | 0.01 |
| 0.2 – 0.3 | 0.25 | 0.27 | 198 | 0.02 |
| 0.3 – 0.4 | 0.35 | 0.36 | 205 | 0.01 |
| 0.4 – 0.5 | 0.45 | 0.47 | 221 | 0.02 |
| 0.5 – 0.6 | 0.55 | 0.53 | 247 | 0.02 |
| 0.6 – 0.7 | 0.65 | 0.66 | 203 | 0.01 |
| 0.7 – 0.8 | 0.75 | 0.77 | 214 | 0.02 |
| 0.8 – 0.9 | 0.85 | 0.86 | 221 | 0.01 |
| 0.9 – 1.0 | 0.95 | 0.94 | 210 | 0.01 |
| Probability bin | Mean predicted probability | Observed failure rate | Bin size (n) | Absolute error |
|---|---|---|---|---|
| 0.0 – 0.1 | 0.05 | 0.04 | 214 | 0.01 |
| 0.1 – 0.2 | 0.15 | 0.14 | 226 | 0.01 |
| 0.2 – 0.3 | 0.25 | 0.27 | 198 | 0.02 |
| 0.3 – 0.4 | 0.35 | 0.36 | 205 | 0.01 |
| 0.4 – 0.5 | 0.45 | 0.47 | 221 | 0.02 |
| 0.5 – 0.6 | 0.55 | 0.53 | 247 | 0.02 |
| 0.6 – 0.7 | 0.65 | 0.66 | 203 | 0.01 |
| 0.7 – 0.8 | 0.75 | 0.77 | 214 | 0.02 |
| 0.8 – 0.9 | 0.85 | 0.86 | 221 | 0.01 |
| 0.9 – 1.0 | 0.95 | 0.94 | 210 | 0.01 |
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