Dataset Level XAI

Variable Importance

Dashboard options

  • Maximum variables in Variable Importance
  • Display boxplots over Variable Importance
  • Left margin for variables names with values

Connector options

# Size of random subset. For large datasets can speedup calculations.
# Use None to select whole dataset.
arena.set_option('FeatureImportance', 'N', None)
# Number of permutations.
arena.set_option('FeatureImportance', 'B', 10)

Partial Dependence

Dashboard options

  • Left margin for variables values - for categorical variables

Connector options

# Method of selecting points: 'quantile' or 'uniform'
arena.set_option('PartialDependence', 'grid_type', 'quantile')
# Maximum number of points for profile. Final number can
# be lower using 'quantile' method.
arena.set_option('PartialDependence', 'grid_points', 101)
# Size of random subset. For large datasets can speedup calculations.
# Use None to select whole dataset.
arena.set_option('PartialDependence', 'N', 500)

Accumulated Dependence

Dashboard options

  • Left margin for variables values - for categorical variables

Connector options

# Method of selecting points: 'quantile' or 'uniform'
arena.set_option('AccumulatedDependence', 'grid_type', 'quantile')
# Maximum number of points for profile. Final number can
# be lower using 'quantile' method.
arena.set_option('AccumulatedDependence', 'grid_points', 101)
# Size of random subset. For large datasets can speedup calculations.
# Use None to select whole dataset.
arena.set_option('AccumulatedDependence', 'N', 500)
Observation Level XAI Fairness