How do I configure thresholds?

On the configuration tab, you have the possibility to define your own threshold values for classification. Thresholds allow you to define a minimum probability for the classification of texts. If it is not reached, no classification is performed.

Here, we explain step by step how the configuration function is structured and how you can adjust the threshold values yourself.


1️⃣ Default settings

If no own thresholds have been defined yet, the overview looks as follows:



2️⃣ Activate threshold

By clicking on the Bildschirmfoto_2020-12-29_um_13.43.20.png toggle switch, the thresholds can be activated Bildschirmfoto_2020-12-29_um_13.49.05.png and the information and settings for them can be opened. If thresholds are activated, the numbers in the above panel will change at the same time. The numbers in this panel always refer to the examples that could be classified with the set threshold. This means: If a text can be classified with the minimum probability of the defined threshold, it is included in these statistics.


The statistics are made up of the following components: «Accuracy» indicates the percentage of all uploaded examples that were classified correctly. To the right of this, the number of «correct and incorrect classifications» is displayed. In addition, the number of examples that could not be classified by the defined threshold is shown, as well as the total number of all text examples that are available.


3️⃣ Select threshold

After activating the threshold, a histogram opens below, which represents the existing data. The data basis for the probabilities shown in the visualization are the results from the cross-validation, which are also already used in the report.

The width of the bars corresponds to five percentage points. Using the slider, any threshold can be set. By default, a threshold of 75% is set here for all categories.


The X-axis of the histogram thus corresponds to the percentage points that can be set for the threshold. The number of data examples are displayed on the Y-axis. The examples that can be correctly classified are shown in blue, and the faulty ones in orange. With mouse-over over the bar, the absolute number is displayed.

«Classified» describes the percentage of examples that are assigned a higher probability than the selected threshold, and thus continue to be classified. «Precision» describes the percentage of these classified examples that are also assigned to the correct category.


4️⃣ Apply threshold

On the one hand, the thresholds can be defined across all categories. On the other hand, different thresholds can also be defined for different categories. To do this, simply select the relevant category in the drop-down menu at the top left. With a click on the blue button Bildschirmfoto_2020-12-31_um_08.58.36.png at the bottom left, the thresholds are defined.
Once the thresholds are applied, the overall statistics displayed above will change accordingly. The changes also become valid directly in the chatbot AI intent widget used.
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