Assign BigML anomaly scores to new Google Forms responses and store them in Google Sheets
When this happensStep 1: New Response in Spreadsheet
Then do thisStep 2: Create Anomaly Score
Then do thisStep 3: Create Spreadsheet Row(s)
If you use Google Forms to survey your customers, you could want to spot those responses that look "anomalous" to you, according to your own definition of what an anomalous response is. Even better, if you label past responses you received as "normal" or "anomalous", you can train a BigML model that is able to automatically spot "anomalous" responses for you. This integration allows you to automatically assign an anomaly score to all new responses you get and update your forms data with that anomaly score.
Note: This Zapier integration does not provide a ready-to-use anomaly detector. You can train one using the BigML Dashboard with your own data.
How this Google Forms-BigML-Google Sheets integration works
- A customer sends in their responses to a Google Form
- Zapier uses BigML to associate an anomaly score to it
- The anomaly score is stored in a Google Sheets spreadsheet
- Google Forms
- Google Sheet