Autonomous Scoring
Last updated
Last updated
Autonomous scoring works even if there is no baseline. It can work on a single file, i.e., only on v2 log files. Autonomous scoring works based on the following factors:
Autonomous scoring is ideal for scenarios where you only have the v2 log files but it will also work if you have both v1 and v2 logs.
Hence, Autonomous scoring will also work if no v1 log file is provided.
Score reduction is done only on clusters that are unique to v2 logs.
Clusters belonging to v1 logs are ignored for score reduction.
Score reduction is normalized by the total number of unexpected clusters in v2 and v1v2.
Score Reduction is higher at higher sensitivity levels.
Score Reduction is higher for clusters with higher criticality.
By default, autonomous scoring will give a score of 0 (fail) whenever there is a critical error.
To set the Autonomous Scoring algorithm follow the steps below:
Click on "New Application" button to create a new application as shown below:
2. Following application details appears as shown below:
3. In the above form after adding the application details you need to add. To know more on how to add an application click here.
4. After you add the application details, you need to add the services to the application. To know more on how to add an application click here.
5. Next, you get the option to select the type of service you want to add. The options are:
Approval
Verification
Test Verification
Policy
Refer to the image below:
6. To add a log template select Verification or Test Verification type. The following options appear and click "+" Symbol:
7. Select Autonomous Scoring from the drop-down while creating new Log Template as shown below:
