projects:workgroups:patient-level_prediction:best-practice
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projects:workgroups:patient-level_prediction:best-practice [2016/05/04 08:22] jreps [Best practices] |
projects:workgroups:patient-level_prediction:best-practice [2016/05/04 08:23] jreps [Best practices] |
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| **Internal validation** is done only once on the holdout set. The following performance measures should be calculated: | **Internal validation** is done only once on the holdout set. The following performance measures should be calculated: | ||
| - | * Overall performance: Brier score (unscaled/scaled) | + | . Overall performance: Brier score (unscaled/scaled) |
| - | * Discrimination: Area under the ROC curve (AUC) | + | . Discrimination: Area under the ROC curve (AUC) |
| - | * Calibration: Intercept + Gradient of the line fit on the observed vs predicted probabilities | + | . Calibration: Intercept + Gradient of the line fit on the observed vs predicted probabilities |
| We recommend box plots of the predicted probabilities for the outcome vs non-outcome people, the ROC plot and a scatter plot of the observed vs predicted probabilities with the line fit to that data and the line x=y added. | We recommend box plots of the predicted probabilities for the outcome vs non-outcome people, the ROC plot and a scatter plot of the observed vs predicted probabilities with the line fit to that data and the line x=y added. | ||
projects/workgroups/patient-level_prediction/best-practice.txt · Last modified: 2016/05/04 15:43 by prijnbeek
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