Enum OptimalThresholdStrategy 

pub enum OptimalThresholdStrategy {
    MaxF1,
    YoudensJ,
    MaxAccuracy,
    MaxMCC,
    MaxKappa,
    BalancedSensSpec,
    BalancedPrecRecall,
    MinDistanceToOptimal,
    Manual(f64),
}

Strategies for finding optimal threshold

Variants

MaxF1

Maximize F1 score

YoudensJ

Maximize Youden’s J statistic (sensitivity + specificity - 1)

MaxAccuracy

Maximize accuracy

MaxMCC

Maximize Matthews correlation coefficient

MaxKappa

Maximize Cohen’s kappa

BalancedSensSpec

Balance sensitivity and specificity

BalancedPrecRecall

Balance precision and recall

MinDistanceToOptimal

Minimize distance to perfect classifier (0,1) in ROC space

Manual(f64)

Use a specific threshold value

Trait Implementations

impl Clone for OptimalThresholdStrategy

fn clone(&self) -> OptimalThresholdStrategy

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for OptimalThresholdStrategy

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Hash for OptimalThresholdStrategy

fn hash<H: Hasher>(&self, state: &mut H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for OptimalThresholdStrategy

fn eq(&self, other: &OptimalThresholdStrategy) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for OptimalThresholdStrategy

impl Eq for OptimalThresholdStrategy

impl StructuralPartialEq for OptimalThresholdStrategy