Predictive Scoring provides Feature Guess functionality.
Treasure Data suggests highly relevant features (predictors) derived from attributes:
The Feature Guess function:
Sends a request to API server
Samples 100,000 values from every attribute in every profile in a master segment
Applies pre-defined set of rules for each attribute
Attributes detected as meaningless are automatically dropped, and pairs of a type (quantitative, categorical, or categorical array) and preprocessing rules (such as, how to fill in missing values, extract day of week from the timestamp) for potentially informative attributes are suggested in the input boxes.
The pre-defined set of guessing rules are based on:
attribute type (number, string, array)
attribute name
cardinality
regular expression
mean
standard deviation
percentile
of the sampled values.