Abstract: A pre-trained model trained to predict a measure of expected model performance based at least in part on a feature relevance score associated with a text field data type is generated. A specification of a desired target field for machine learning prediction and one or more text fields storing input content is received. A corresponding feature relevance score for each of the one or more text fields storing the input content is calculated. Based on the corresponding calculated feature relevance scores, a corresponding measure of expected model performance for each of the one or more text fields storing the input content is predicted using the pre-trained model. The predicted measures of expected model performance are provided for use in feature selection among the one or more text fields storing the input content for generating a machine learning model to predict the desired target field.