Struct BinaryConfusionMatrix

pub struct BinaryConfusionMatrix {
    pub precision: Option<f64>,
    pub false_positives: Option<i64>,
    pub positive_class_threshold: Option<f64>,
    pub accuracy: Option<f64>,
    pub recall: Option<f64>,
    pub f_1_score: Option<f64>,
    pub true_positives: Option<i64>,
    pub false_negatives: Option<i64>,
    pub true_negatives: Option<i64>,
}

Fields

precision: Option<f64>

The fraction of actual positive predictions that had positive actual labels.

false_positives: Option<i64>

Number of false samples predicted as true.

positive_class_threshold: Option<f64>

Threshold value used when computing each of the following metric.

accuracy: Option<f64>

The fraction of predictions given the correct label.

recall: Option<f64>

The fraction of actual positive labels that were given a positive prediction.

f_1_score: Option<f64>

The equally weighted average of recall and precision.

true_positives: Option<i64>

Number of true samples predicted as true.

false_negatives: Option<i64>

Number of false samples predicted as false.

true_negatives: Option<i64>

Number of true samples predicted as false.

Trait Implementations

impl Clone for BinaryConfusionMatrix

fn clone(&self) -> BinaryConfusionMatrix

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BinaryConfusionMatrix

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

Formats the value using the given formatter.

impl Default for BinaryConfusionMatrix

fn default() -> BinaryConfusionMatrix

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for BinaryConfusionMatrix

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for BinaryConfusionMatrix

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

where __S: Serializer,

Serialize this value into the given Serde serializer.