What a run found

The mean score of every candidate, how many responses each of them scored highest on, whether one fitted model covered those responses or one was fitted per response, and the level the combined prediction reached with the weights it reached it under.

Usage

# S3 method for class 'timesift'
summary(object, ...)

# S3 method for class 'timesift'
print(x, ...)

# S3 method for class 'timesift_summary'
print(x, ...)

Arguments

object

A timesift result.

...

Ignored, so that the methods take the arguments their generics declare.

x

A timesift result, or the table this returns.

Value

A data frame of one row per candidate and one for the ensemble, of class timesift_summary, carrying the mean score, the responses won and how the responses were covered. The weights are in the weights attribute.

Details

Both columns beside the mean are worth reading. A candidate can carry the ensemble without winning a single response, which is what won shows and a mean alone hides; and a joint model and a per-response one reach the same [target, response] matrix by different routes, which is what responses records.

A candidate the run built no representation for, because its learner cannot read the representation it was paired with, is listed with no mean rather than dropped, so the report says what was asked for as well as what ran.