Test data for the transfer learning module.
Real-world datasets obtained from here.
- Semi real-world dataset.
- The original MNIST and Fashion MNIST datasets are used as the source stream, and the target stream is generated with varying similarities by inverting all pixel values of v% of the classes. We denote these configurations as MNIST v% or Fashion MNIST v%, where v% indicates the dissimilarity between the domains. In addition, we apply a 2 by 2 filter on both MNIST and Fashion MNIST datasets for reasonable performance outputs from the random forest base learners with limited tree models.