title | date | output | ||||||||
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ML Results |
2023-07-31 |
|
Machine learning algorithm(s) used: rf and glmnet. Models were trained with 10 different random partitions of the seq_SLURM_gl_rf dataset into training and testing sets using 5-fold cross validation. See config/config.yaml for the full configuration.
Each model training run was given 8 cores for parallelization.