Assign BigML anomaly scores to new Google Forms responses and store them in Google Sheets
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 easily update your forms data with that anomaly score.
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 easily update your forms data with that anomaly score.
- When this happens...New Form Response
Triggers when a new form response is received.
- automatically do this...Create Anomaly Score
Calculates the anomaly score of a data instance.
- then do this!Create Multiple Spreadsheet Rows
Create one or more new rows in a specific spreadsheet (with line item support).
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