AUTOMATED MACHINE LEARNING TOOL FOR EXPLAINING THE EFFECTS OF COMPLEX TEXT ON PREDICTIVE RESULTS

摘要

An apparatus comprising feature engineering and text explanation modules for explaining text from predictive results of an algorithmic model. The feature engineering module creates vectors for string variables, each string variable comprising identified text, each vector created comprising a numeric combination, each numeric combination identifying a variable name and a value having a word or a phrase. The feature engineering module causes a predictive engine to generate predictive results using the algorithmic model, the data set, and the vectors created. The predictive results comprising the string variable or a modified version of the string variable and a confidence score. The text explanation module maps words and phrases from qualified text of the string variable, or modified version, to the numeric combinations of the vectors and determines a probability score for each word and each phrase. The most influential words and phrases are plotted on a chart.