Performance
The Performance dashboard allows you to do an in-depth analysis of changes in model performance over time. If you prefer a video walkthrough, here is our guide explaining how to use the performance dashboard page:
Here, you can find detailed descriptions of various elements on the performance page:
There are three main components to the Performance dashboard:
1. Filters:
You can select which metrics you want to display. Metrics that are not calculated/estimated are not visible under the filter. Selecting metrics to calculate/estimate can be done under model settings.
You can select which performance type you want to be displayed. The options include estimated performance, realized performance, and the comparison plot of realized vs estimated performance.
Choose which metrics to display based on whether there are no alerts, alerts in any or only the last chunk, alerts in performance metric with the main tag, or include all charts regardless of when and if any alerts occurred.
Filter visualizations by the previously specified tags.
2. Visualisations
You can change the order of charts based on the metric name, number, or recency of the alerts.
You can select a specific period of interest which applies to all charts.
To reset a previously set date period, whether using the date range or slider, simply press the "Reset" button.
Similar to selecting a date range, you can choose a specific period of interest by simply moving the date slider.
The charts are interactive, allowing you to hover over them for more details. Red dotted lines indicate the thresholds, while the blue line shows the metric during the reference period. The light blue represents the metric during the analysis period. The lightly shaded area around the estimated results is the metric's confidence band.
You can also zoom in on any part of a chart. Simply press and hold your mouse button, then draw a square over your area of interest. To reset the zoom, just double-click on the chart.
3. Plots
There are two types of plot formats: line and step. A line plot smoothly connects points with straight lines to show trends, while a step plot uses sharp vertical and horizontal lines to show exact changes between points clearly.
Select datasets to zoom in on reference, analysis, or create a separate subplot for both.
Toggle on or off some components on the charts, like alerts, confidence bands, thresholds, and legends.
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