mlr

The mlr package requires a deep understanding of both machine learning concepts and R programming, which can be challenging for beginners.

While the package is well-documented in academic papers, practical examples and tutorials are sparse, making it harder to find solutions to specific problems.

mlr can be slow when handling very large datasets due to its memory management and processing overhead in R.

The package primarily focuses on traditional machine learning algorithms and does not integrate well with modern deep learning libraries like TensorFlow or PyTorch.