Add a prediction field to a form
Before you learn how to add a prediction field, refer to this page to learn about a Prediction field.
Steps to add a prediction field to a form:
- Edit your app.
- Open the builder of the required form.
- Add the Prediction field to the form. (Refer to this page to learn how to add a field to a form)
If your form doesn't contain at least two prediction supporting field types, you'll be prompted to add more.
- Prediction requires a base field and at least one dependent field: Base field is the one that you want to predict value of. Dependent fields are used by the AI to use to predict the base field's value. Learn more
- Prediction requires at least two fields of the following types to be present in your form: number, decimal, percent, currency, drop down, radio, date, date-time, lookup (single-select), and users
If this is the first Prediction field in your account, the prediction builder's orientation screen will appear. Click the Add Prediction Field button in the Prediction Builder. If it's not your first prediction field, you'll be taken to the next step.
Select the base field, then click Next. This is the field that you want to predict the value of. For example, if you had a real estate business that was looking to predict the price of a house, your base field should be House price, which is the field that stores the price that houses have actually been sold at:
Select at least one Dependent Field, then click Next. The dependent fields are the data points that you believe will influence the data point that you're trying to predict. Continuing with the real estate example above, imagine that you know that the price of a house is influenced by data points such as its distance from the nearest Mass Rapid Transport (MRT) station, the number of convenience stores in its vicinity, and how old the construction is. The fields that store these data points in your form, will be your dependent fields:
- Define the Training Data set, then click Next.
- All Records will be selected by default. This option will make the AI use all existing records in your form for building the predictive model.
- Select Specific records, then define the criteria. This option will make the AI use records that satisfy the criteria for building the predictive model.
Check the details in the Summary tab, then click Next.
Enter a name for the prediction field you're adding, then click Add Field.
Model training status
The training period for the prediction model depends on the volume of training data. You can see the status of model training in Field Properties > Model Details section:
When model training is in progress:
- Once the training's complete, the model's Accuracy will be displayed. You'll also see the Retrain button, which you can use to retrain the predictive model.
