Struct ModelMetrics 

pub struct ModelMetrics {
    pub true_positives: usize,
    pub true_negatives: usize,
    pub false_positives: usize,
    pub false_negatives: usize,
    pub precision: f64,
    pub recall: f64,
    pub f1_score: f64,
    pub accuracy: f64,
    pub auc: f64,
}

Metrics from model evaluation

Fields

true_positives: usize

True positives

true_negatives: usize

True negatives

false_positives: usize

False positives

false_negatives: usize

False negatives

precision: f64

Precision = TP / (TP + FP)

recall: f64

Recall = TP / (TP + FN)

f1_score: f64

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

accuracy: f64

Accuracy = (TP + TN) / total

auc: f64

Area under ROC curve (approximated)

Implementations

impl ModelMetrics

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

Compute metrics from predictions and ground truth

pub fn average(metrics: &[ModelMetrics]) -> Self

Average metrics from multiple folds

Trait Implementations

impl Clone for ModelMetrics

fn clone(&self) -> ModelMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelMetrics

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

Formats the value using the given formatter.

impl Default for ModelMetrics

fn default() -> ModelMetrics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ModelMetrics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ModelMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.