STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. (arXiv:2206.12002v1 [cs.LG])

Machine learning (ML) offers powerful methods for detecting and modeling
associations often in data with large feature spaces and complex associations.
Many useful tools/packages (e.g. scikit-learn) have been developed to make the
various elements of data handling, processing, modeling, and interpretation
accessible. However, it is not trivial for most investigators to assemble these
elements into a rigorous, replicatable, unbiased, and effective data analysis
pipeline. Automated machine learning (AutoML) seeks to address these issues by
simplifying the process of ML analysis …

algorithm analysis arxiv automated machine learning comparison data data analysis learning lg machine machine learning pipeline