MLwrap (version 0.3.0)

table_evaluation_results: Evaluation Results

Description

The table_evaluation_results() function provides access to trained model evaluation metrics, automatically adapting to the type of problem being analyzed. For binary classification problems, it returns a unified table with performance metrics, while for multiclass classification it generates separate tables for training and test data, enabling comparative performance evaluation and detection of potential overfitting.

Usage

table_evaluation_results(analysis_object, show_table = FALSE)

Value

Tibble or list of tibbles (multiclass classification) with evaluation results.

Arguments

analysis_object

Fitted analysis_object with 'fine_tuning()'.

show_table

Boolean. Whether to print the table.

See Also

table_best_hyperparameters

Examples

# Note: For obtaining the evaluation table the user needs to
# complete till fine_tuning( ) function.
# See the full pipeline example under table_best_hyperparameters()
# Final call signature:
# table_evaluation_results(wrap_object)