table_sobol_jansen_results: Sobol-Jansen Results Table

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Sobol-Jansen Results Table

Description

The table_sobol_jansen_results() function processes results from Sobol-Jansen global sensitivity analysis, a variance decomposition-based methodology that quantifies each variable's contribution and their interactions to the total variability of model predictions. This technique is particularly valuable for identifying higher-order effects and complex interactions between variables.

Usage

table_sobol_jansen_results(analysis_object, show_table = FALSE)

Arguments

analysis_object	Fitted analysis_object with 'sensitivity_analysis(methods = "Sobol_Jansen")'.
show_table	Boolean. Whether to show the table.

Value

Tibble or list of tibbles (multiclass classification) with Sobol-Jansen results.

Examples

# Note: For obtaining the table with Sobol_Jansen method results
# the user needs to complete till sensitivity_analysis() function of the
# MLwrap pipeline using the Sobol_Jansen method.
# Sobol_Jansen method only works when all input features are continuous.



wrap_object <- preprocessing(df = sim_data,
                             formula = psych_well ~ depression + emot_intel + resilience,
                             task = "regression")
wrap_object <- build_model(wrap_object, "Random Forest")
wrap_object <- fine_tuning(wrap_object, "Bayesian Optimization")
wrap_object <- sensitivity_analysis(wrap_object, methods = "Sobol_Jansen")

# And then, you can obtain the Sobol_Jansen results table.

table_Sobol <- table_sobol_jansen_results(wrap_object)

MLwrap documentation built on Aug. 8, 2025, 6:43 p.m.