Description Usage Arguments Details Value Author(s) References See Also Examples
A summarization method for an object of the class "ndlCrossvalidate"
.
1 2 3 4 5 |
object |
An object of class |
x |
An object of class |
digits |
the number of significant digits to use when printing. |
... |
further arguments passed to or from other methods. |
Calculates overall descriptive statistics of the crossvalidation of a fitted Naive Discriminatory Reader model and prints a nice summary of the key results.
summary.ndlCrossvalidate
returns an object of the class
"summary.ndlCrossvalidate"
, a list with the following components:
call
The call matched to fit the "ndlCrossvalidate"
object.
formula
The formula specified for the "ndlCrossvalidate"
object.
statistics.summary
The means, minima and maxima of a
range descriptive statistics for the fit and performance of
individual folds; see ndlStatistics
.
crosstable.summary
The means of the crosstabulation of observed and predicted outcomes for the held-out test data.
recall.predicted.summary
The means of the recall values for the individual outcomes predicted with the held-out test data.
precision.predicted.summary
The means of the precision values for the individual outcomes predicted with the held-out test data.
statistics.all
All the values for a range descriptive
statistics for the fit and performance of individual folds on the
held-out test data; see ndlStatistics
.
k
The number of folds.
n.total
The sum frequency of all data points in
data
.
n.train
The sum frequency of data points used for training the individual models (excluding the individual folds).
n.test
The sum frequency of data points in the individual held-out folds used for testing the individual models.
Antti Arppe
Arppe, A. and Baayen, R. H. (in prep.)
ndlCrossvalidate, ndlClassify, ndlStatistics
1 | ## For examples see examples(ndlCrossvalidate).
|
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