Struct bigml::resource::evaluation::ClassificationPerClassStatistics

pub struct ClassificationPerClassStatistics {
    pub accuracy: f64,
    pub class_name: String,
    pub f_measure: f64,
    pub phi_coefficient: f64,
    pub precision: f64,
    pub recall: f64,
    // some fields omitted
}

The detailed result of an evaluation using specific criteria.

Fields

accuracy: f64

The portion of instances in this class that were correctly classified.

class_name: String

The the of this class.

f_measure: f64

The harmonic mean of precision and recall.

phi_coefficient: f64

See Wikipedia.

precision: f64

The fraction of positives that were true positives. (TP / (TP + FP))

recall: f64

The number of true positives over the number of actual positives in the dataset. (TP / (TP + FN))

Trait Implementations

impl Debug for ClassificationPerClassStatistics

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

Formats the value using the given formatter.

impl Serialize for ClassificationPerClassStatistics

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

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for ClassificationPerClassStatistics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.