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TianBian95 / BiGCN

Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

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cross validation

thinking024 opened this issue · comments

commented

In each iteration, load5foldData is called to get 5 different datasets. Each dataset, consisting of the training set and the testing set, is used to train and test the model.
But those 5 datasets are generated from the same data. Thus, the data in fold0_x_test to test the model may be in fold1_x_train and it's used to train the model again, which means the model could learn from the fold$n$_x_test in each iteration. The whole data is used for training but there is no other separate testing set to evaluate the model, resulting in significantly higher accuracy.