ebc_AUC {evabic}

Area under the curve

Description

Compute the Area Under the Curve for a classification.

Usage

ebc_AUC(
  detection_values,
  true,
  all,
  m = length(all),
  direction = c("<", ">", "<=", ">=")
)

ebc_AUC_from_measures(df_measures)

Arguments

detection_values

Values corresponding to elements that are detected. Must be named.

true

Vector of element that are supposed to be detected.

all

Vector of all elements.

m

Total number of elements.

direction

With < (default), detected elements are those which are strictly less than the threshold. Could be change to ">", <= or >=.

df_measures

A dataframe with TPR and FRP columns. E.g. the output of ebc_tidy_by_threshold.

Value

A numeric.

Examples

set.seed(42)
X1 <- rnorm(50)
X2 <- rnorm(50)
X3 <- rnorm(50)
predictors <- paste0("X", 1:3)
df_lm <- data.frame(X1 = X1, X2 = X2, X3 = X3,
                    X4 = X1 + X2 + X3 + rnorm(50, sd = 0.5),
                    X5 = X1 + 3 * X3 + rnorm(50, sd = 0.5),
                    X6 = X2 - 2 * X3 + rnorm(50, sd = 0.5),
                    X7 = X1 - X2 + rnorm(50, sd = 2),
                    Y  = X1 - X2 + 3 * X3 + rnorm(50))
model <- lm(Y ~ ., data = df_lm)
pvalues <- summary(model)$coefficients[-1, 4]
ebc_AUC(pvalues, predictors, m = 7)

df_measures <- ebc_tidy_by_threshold(pvalues, predictors, m = 7)
ebc_AUC_from_measures(df_measures)