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European COVID-19 Forecast Hub Evaluation Report for DSMPG-bayes

Latest forecasts

No recent forecasts to show. Click the Forecast tab above to view all past forecasts.

Predictive performance

Skill is shown as absolute error of the point forecast. Weighted interval scores are not calculated as the 23 quantile levels required are not being provided by the model.

Cases

1 week ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

2 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

3 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

4 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

Deaths

1 week ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

2 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

3 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

4 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

Hospitalisations

1 week ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

2 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

3 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

4 weeks ahead horizon

Overall predictive performance

Overall scores are only created for models that were used for forecasts in each of the last 4 weeks, excluding periods during which there were anomalies in the data. At the moment the model does not fulfill that criterion.

Performance over time

The plots below show the data and forecasts with 50% and 90% predictive intervals and, in the panel to the right of the data plots, forecast skill as measured by the Weighted Interval Score. Lower values indicate better predictive performance.

No recent forecasts available targeting the last 10 weeks.

Forecast calibration

The plots below describe the calibration of the model, that is its ability to correctly quantify its uncertainty, across all predicted countries.

Overall coverage

Coverage is the proportion of observations that fall within a given prediction interval. Ideally, a forecast model would achieve 50% coverage of 0.50 (i.e., 50% of observations fall within the 50% prediction interval) and 95% coverage of 0.95 (i.e., 95% of observations fall within the 95% prediction interval), incidcated by the dashed horizontal lines below. Values of coverage greater than these nominal values indicate that the forecasts are underconfident, i.e. prediction intervals tend to be too wide, whereas values of coverage smaller than these nominal values indicate that the ensemble forecasts are overconfident, i.e. prediction intervals tend to be too narrow.

No coverage figures shown as now 50%/95% predictive intervals are available.

PIT histograms

The figures below are PIT histograms for the all past forecasts. These show the proportion of true values within each predictive quantile (width: 0.1). If the forecasts were perfectly calibrated, observations would fall evenly across these equally-spaced quantiles, i.e. the histograms would be flat.

No PIT histogram shown because no predictive quantiles are available.