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Confidence Interval using Bootstrap

Source: R/performance_measures.R
Boots_CI.Rd

`Boots_CI()` computes the Confidence Interval (CI) of a performance measure (for instance, accuracy) via bootstrapping.

Usage

Boots_CI(target, pred, index = "acc", nboots, confidence = 95, ...)

Arguments

target

Numeric vector containing the actual values.

pred

Numeric vector containing the predicted values. (The order should be the same than the target's).

index

Performance measure name, in lowercase. (Defaults: "acc").

nboots

Number of bootstrapping replicas.

confidence

Confidence level; for instance, 95% or 99%. (Defaults: 95).

...

Further arguments to be passed to the performance measures functions; notably, multi.class="macro" or multi.class="micro" for the macro or micro performance measures. (Defaults: "macro").

Value

A vector containing the bootstrap estimate of the performance and its CI.

Examples

y <- c(rep("a",30),rep("b",20))
y_pred <- c(rep("a",20),rep("b",30))
# Computing Accuracy with their 95%CI
Boots_CI(target=y, pred=y_pred, index="acc", nboots=1000, confidence=95)
#>          2.5%  97.5% 
#> 0.7989 0.6800 0.9000