Univariate analysis
- Compute logistic regression analysis (cross-validated prediction metrics and p-values) ~~~ ./code/univariate_logistic_regression.py ~~~
- Post-processing and data visualization ~~~ ./code/univariate.ipynb ~~~
Machine learning
- To launch one or all machine learning algorithms on various subsets of features (multivariate) ~~~ cd code python3 ml.py ~~~
- The parameters used (ml algorithms, selected features, etc…) have to be defined in
./code/params_ml.yaml
-
The file
./code/requirements.txt
contains versions of the python packages used - Results are exported in
output_path/feature_set/algorithm/
(seeparams_ml.yaml
)
Post-processing
- Table summarizing some of the results. Parallel plot for performances and heatmap of misclassified patients ~~~ code/tables_results_ml_summary.ipynb ~~~