KaiDMML
How to split FakeNewsNet into the training and testing sets?
Hello, I've read your paper but I don't know how to split your dataset the same way you did in your paper. Could you please provide the training and testing sets separately? Thanks.
@lenhhoxung86 sir you can try splitting the dataset using the following code
from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(new_name,z, test_size=0.2)
This will split the dataset into 80:20 ratio 80% for training and 20% for testing
The problem is that I know how to split the dataset, but I don't know how to achieve the same splitting as they did in their paper. Therefore, it would be not fair when comparing results.
@lenhhoxung86 For our recent experiments, we have used the sample code provided in the sklearn example for splitting the data as train and test set.
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
For most experiments, we have used the random state as 42 and if you use the same random state you will most likely get the same train/test sets. In future versions of dataset, we'll update the train/test sets used for the experiments.
