Description Arguments Value References See Also Examples
Evaluates the recommendation task of an algorithm with a given configuration and based on the given evaluation model.
model |
Object of type |
alg |
The algorithm to be used in the evaluation. Of class |
topN |
Object of class |
topNGen |
Object of class |
positiveThreshold |
Object of class |
alpha |
Object of class |
... |
other attributes specific to the algorithm to be deployed. Refer to |
Returns an object of class evalRecResults
with the precision
, recall
, F1
, nDCG
, RankScore
, true positives(TP)
, false positives(FP)
, true negatives(TN)
, false negatives(FN)
for each of the k-folds defined in the evaluation model and the overall average.
F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors. Recommender Systems Handbook. Springer, 2011. ISBN 978-0-387-85819-7. URL http://www.springerlink.com/content/978-0-387-85819-7.
evalModel-class
, rrecsys
, evalRecResults-class
.
1 2 3 4 5 6 7 8 9 10 11 12 13 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.