visualize\(evaluate\)discrimination$confusion

Threshold confusion summary curves

Description

Threshold confusion summary curves

Usage

visualize.evaluate.confusion(
  results,
  models = NULL,
  outcomes = NULL,
  measures = c("tp", "fp", "tn", "fn"),
  facet.by = c("model", "none"),
  colors = NULL,
  ...
)

Arguments

results

A PolyGeniusEvaluation object.

models

Optional model filter.

outcomes

Optional outcome filter.

measures

Threshold metrics to draw.

facet.by

Faceting mode (“model” or “none”).

colors

Optional named color vector.

Reserved for future extensions.

Value

A ggplot object.

See Also

Other visualize: visualize.evaluate.calibration.curve(), visualize.evaluate.calibration.slope.intercept(), visualize.evaluate.compare.delta.forest(), visualize.evaluate.compare.delta.heatmap(), visualize.evaluate.discrimination.curve(), visualize.evaluate.distribution(), visualize.evaluate.forest(), visualize.evaluate.incremental.delta(), visualize.evaluate.leaderboard(), visualize.evaluate.metric.flags(), visualize.evaluate.metric.heatmap(), visualize.evaluate.pr(), visualize.evaluate.predicted.vs.observed(), visualize.evaluate.residuals(), visualize.evaluate.risk.strata.lift(), visualize.evaluate.risk.strata.profile(), visualize.evaluate.roc(), visualize.evaluate.similarity.heatmap()