diff --git a/docs/source/experiments.rst b/docs/source/experiments.rst index 151cb54..de137c0 100644 --- a/docs/source/experiments.rst +++ b/docs/source/experiments.rst @@ -1,7 +1,7 @@ Experiments =========== -To exhibit the effectiveness and practicability of `graphkit-learn` library, we tested it on several benchmark datasets. See `(Kersting et al., 2016) __ for details on these datasets. +To exhibit the effectiveness and practicability of `graphkit-learn` library, we tested it on several benchmark datasets. See `(Kersting et al., 2016) `__ for details on these datasets. A two-layer nested cross-validation (CV) is applied to select and evaluate models, where outer CV randomly splits the dataset into 10 folds with 9 as validation set, and inner CV then randomly splits validation set to 10 folds with 9 as training set. The whole procedure is performed 30 times, and the average performance is computed over these trails. Possible parameters of a graph kernel are also tuned during this procedure.