Patent ID: 11861462
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method of claim 1, further comprising:
generating a derived data set based on one of the training data set or additional data set, the derived data set including one or more derived columns;
partitioning the derived data set into a feature importance training data set, feature importance validation data set, and corresponding labels data set;
training a predictive model based on the feature importance training data set and the corresponding labels data set;
evaluating the trained predictive model on the feature importance validation data set to generate a first accuracy score;
shuffling rows of one or more columns in the feature importance validation data to generate a manipulated feature importance validation set;
evaluating the trained predictive model on manipulated feature importance validation set to generate a second accuracy score;
generating a feature importance evaluation score is based on a difference between the first accuracy score and the second accuracy score; and
outputting the feature importance evaluation score.