Creating a Prediction Classifier

a prediction classifier is trained using historical records from a servicely table and then returns predictions ( classification fields ) for input text ( search fields ) a classifier will have one of more classifier contexts which control the behaviour of the classifier in different contexts (eg via ui, email or virtual agent) each classifier is triggered by a client script defining a classifier perform the following steps to create or modify a prediction classifier navigate to intelligent automation → intelligent predictions → classifiers and select new configure the following fields mandatory fields that must be configured name unique name of classifier table which table will the classifier be applied type for prediction classifiers the type will be "classification" search fields the text field used to trigger classifier classification fields the fields on the form / table that will be predicted by the classifier the table below provides a list of all of the parameters on a classifier record true left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type advanced configuration the following section details some of the advanced configuration options for a classifier classifier filters classifier filters allow you to define criteria for improving the relevancy of the classifier results a classifier filter uses information on the current record, such as location, to restrict the training data taken into account by the classifier true left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type modifying classifier results layout true 0left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type an example of the layout syntax is shown below layout \<label>classification \</label> \<section> \<field l2>{{ fields category display }}\</field l2> \<field l2>{{ fields subcategory display }}\</field l2> \</section> \<label>assignment \</label> \<section> \<field>{{ fields assignment group display }}\</field> \</section> 544 other fields true left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type left unhandled content type training a prediction classifer before sofi can be used we need train the models, this is done by navigating to the servicely menu intelligent automation → intelligent predictions → classifiers select the classifier and then click on the train classifier link at the bottom of the form the duration depends on a number of factors and can take between 20 minutes and a few hours the classifier provides a status field indicating the current state allowing you to confirm when training is complete once completed, the training end field will be populated note that during training, the classifier will still make predictions however the results may be inconsistent estimated training duration as a guide, 100,000 may take 20 mins 500,000 may take 2 hours 1,000,000 records may take 4 5 hours