Compute classification and regression performance metrics object
get_performances_metrics_obj.RdThis function computes metrics object for both classification and regression performance
from evaluation objects generated by evaluation_report function. Metrics object
contains the by-parameter and aggregate metrics for PR AUC, ROC AUC, R-squared and other
classification metrics for precision, recall, sensitivity, and specificity. The function
takes as input various evaluation objects including R-squared values (r2_params),
dispersion values (r2_dispersion), PR object (pr_obj), ROC object
(roc_obj), and machine learning performance metrics object (ml_metrics_obj).
The function generates separate data frames for metric values by parameter value and for the
aggregated metric values.
Usage
get_performances_metrics_obj(
r2_params,
r2_agg,
r2_dispersion,
pr_obj,
roc_obj,
ml_metrics_obj
)Arguments
- r2_params
R-squared and RMSE values from model parameters evaluation object.
- r2_agg
R-squared and RMSE values aggregated.
- r2_dispersion
R-squared and RMSE values from dispersion evaluation object.
- pr_obj
PR object generated from evaluation report.
- roc_obj
ROC object generated from evaluation report.
- ml_metrics_obj
Machine learning performance metrics object.