First, give conclusions that can be used for decision-making
In addition to the Top-1 accuracy rate, the high-risk recall rate, the manual revision rate, the inability to judge whether or not a person is transferred, and whether there is a high turnover after the order. Business should be more concerned about whether the lead time and resolution cycle improve, rather than pursuing a model fraction of the landscape.
What conditions need to be identified before judgement is made?
The same question may have different answers under different business, data and project phases. It is suggested that the following conditions be checked and that the common findings on the web be incorporated into their own projects.
Suggested order of advance
First, we'll be clear about the target and the border.
Freezing of class calibres and taking independent tests from different months.
Validation Key Dependence
Two operational staff members reviewed high-risk and contentious samples to form a baseline answer.
Development of assessable outcomes
Separate measurements of classification, priority, assignment, refusal and information extraction results.
Make sure you decide the next step with the real results.
Gradually moving from manual recognition to low-risk automation and continuous monitoring of drift.
How do you understand it in the actual business?
An enterprise can require a higher threshold for the rate of recall for a major failure, with a second-tier protection of keywords, customer grade, and the rules of certainty for surveillance and alarm. The examples do not represent the performance of a particular customer, and the actual conclusions need to be verified in conjunction with the enterprise’s own business volume, sample, system, and liability boundaries.
The easiest pit to step on.
Only show accuracy on a trained historical sample.
Classification labels overlap over time, but all errors are attributed to the model
Auto-assignment orders are not recorded for transfer and manual correction and cannot be continuously improved
How should we end up receiving and confirming?
Delivery should include data ranges, label calibres, sample distribution, confusion matrix, high-risk recall, low-confidence processing, manual modification and business cycle changes.
When preparing to communicate with suppliers or internal teams, it is recommended that current processes, representative samples, existing systems, planning time and budget levels be brought. First, the unknown items are clearly marked, and then the decision is made to use diagnostics, PoC, fixed-range projects or ongoing research and development, which is usually more reliable than a direct demand for a price and duration without borders.