Struct ConfusionMatrix 

pub struct ConfusionMatrix {
    pub tp: usize,
    pub tn: usize,
    pub fp: usize,
    pub fn: usize,
}

Confusion matrix for binary classification

Fields

tp: usize

True positives (predicted positive, actual positive)

tn: usize

True negatives (predicted negative, actual negative)

fp: usize

False positives (predicted positive, actual negative)

fn: usize

False negatives (predicted negative, actual positive)

Implementations

impl ConfusionMatrix

pub fn from_predictions(predictions: &[bool], ground_truth: &[bool]) -> Self

Create confusion matrix from predictions and ground truth

pub fn total(&self) -> usize

Total number of samples

pub fn accuracy(&self) -> f64

Accuracy = (TP + TN) / total

pub fn precision(&self) -> f64

Precision = TP / (TP + FP)

pub fn recall(&self) -> f64

Recall (sensitivity) = TP / (TP + FN)

pub fn specificity(&self) -> f64

Specificity = TN / (TN + FP)

pub fn f1_score(&self) -> f64

F1 score = 2 * (precision * recall) / (precision + recall)

pub fn to_ascii(&self) -> String

Render as ASCII table

Trait Implementations

impl Clone for ConfusionMatrix

fn clone(&self) -> ConfusionMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConfusionMatrix

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

Formats the value using the given formatter.

impl Default for ConfusionMatrix

fn default() -> ConfusionMatrix

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ConfusionMatrix

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ConfusionMatrix

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.