dplot3_calibration: Draw calibration plot

In egenn/rtemis: Machine Learning and Visualization

Draw calibration plot

Description

Draw calibration plot

Usage

dplot3_calibration(
  true.labels,
  est.prob,
  n.bins = 10,
  bin.method = c("equidistant", "quantile"),
  pos.class.idi = 1,
  xlab = "Mean estimated probability",
  ylab = "Empirical risk",
  mode = "markers+lines",
  ...
)

Arguments

true.labels	Factor or list of factors with true class labels
est.prob	Numeric vector or list of numeric vectors with predicted probabilities
n.bins	Integer: Number of windows to split the data into
bin.method	Character: "quantile" or "equidistant": Method to bin the estimated probabilities.
pos.class.idi	Integer: Index of the positive class
xlab	Character: x-axis label
ylab	Character: y-axis label
mode	Character: Plot mode
...	Additional arguments passed to dplot3_xy

Author(s)

EDG

Examples

## Not run: 
data(segment_logistic, package = "probably")

# Plot the calibration curve of the original predictions
dplot3_calibration(
  true.labels = segment_logistic$Class,
  est.prob = segment_logistic$.pred_poor,
  n.bins = 10,
  pos.class.idi = 2
)

# Plot the calibration curve of the calibrated predictions
dplot3_calibration(
  true.labels = segment_logistic$Class,
  est.prob = calibrate(
    segment_logistic$Class,
    segment_logistic$.pred_poor
  )$fitted.values,
  n.bins = 10,
  pos.class.idi = 2
)

## End(Not run)

egenn/rtemis documentation built on May 4, 2024, 7:40 p.m.