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A system for binary and multi-class classification of high-dimensional phenotypic data using ensemble learning. By combining predictions from different classification models, this package attempts to improve performance over individual learners. The pre-processing, training, validation, and testing are performed end-to-end to minimize user input and simplify the process of classification.
Package details |
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Author | Jay Devine [aut, cre, cph], Bened'ikt Hallgrimsson [aut] |
Maintainer | Jay Devine <jay.devine1@ucalgary.ca> |
License | GPL (>= 3) |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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