| title | ML Results | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| date | 2023-01-31 | ||||||||
| output |
|
Machine learning algorithm(s) used: glmnet and rf. Models were trained with 10 different random partitions of the otu-large 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.






