some test (cross validation, repeated sampling...) under the same
- :var results: A list of instances of TestedExample, one for each example in the dataset.
+ :var results: A list of instances of TestedExample, one for each example in the dataset.
:var classifiers: A list of classifiers, one element for each repetition (eg. fold). Each element is a list
of classifiers, one for each learner. This field is used only if storing is enabled by ``storeClassifiers=1``.
:var number_of_iterations: Number of iterations. This can be the number of folds (in cross validation)
- or the number of repetitions of some test.
``TestedExample` `'s attribute ``iteration_number`` should
+ or the number of repetitions of some test. `TestedExample`'s attribute ``iteration_number`` should
be in range ``[0, number_of_iterations-1]``.
:var number_of_learners: Number of learners. Lengths of lists classes and probabilities in each :obj:`TestedExample`
should equal ``number_of_learners``.
random seeds), this is a list of boolean values. Each element corresponds to a classifier and tells whether the
experimental results for that classifier were computed or loaded from the cache.
:var weights: A flag telling whether the results are weighted. If ``False``, weights are still present
``TestedExample s``, but they are all ``1.0``. Clear this flag, if your experimental procedure ran on weighted
+ in `TestedExample`, but they are all ``1.0``. Clear this flag, if your experimental procedure ran on weighted
testing examples but you would like to ignore the weights in statistics.