DOC Update cross-validation terminology
@@ -86,7 +86,7 @@ The performance measure reported by *k*-fold cross-validation
is then the average of the values computed in the loop.
This approach can be computationally expensive,
but does not waste too much data
-(as it is the case when fixing an arbitrary test set),
+(as is the case when fixing an arbitrary validation set),
which is a major advantage in problems such as inverse inference
where the number of samples is very small.
