I am doing multilabel news classification in python language.The dataset I have has two files. First CSV contains articles at each row. Second CSV contains corresponding labels to each article. Here is the snapshot of label file
Here is the dropbox link....https://www.dropbox.com/s/7huzh41je735oqn/labelset.csv?dl=0
- Is the dataset imbalanced one?
- How do I distribute this dataset properly into training set, validation and test set?
Note: By properly I mean, Can this unbalanced dataset be split into proper proportions in training,validation and testing set?