Struct Confusionmatrix

pub struct Confusionmatrix {
    pub true_positive: i32,
    pub true_negative: i32,
    pub false_positive: i32,
    pub false_negative: i32,
}

Defining a struct to represent a confusion matrix for a classifier

Variable - details

Below are the variables used in the user defined rust structure Confusionmatrix.

• true_positive - i32 - This denotes the number of true positives.
• true_negative - i32 - This denotes the number of true negatives.
• false_positive - i32 - This denotes the number of false positives.
• false_negative - i32 - This denotes the number of false negatives.

Fields

true_positive: i32

true_negative: i32

false_positive: i32

false_negative: i32

Implementations

impl Confusionmatrix

Functionalities of the confusion matrix

Methods - details

Below are the functions that are defined as methods for the Confusionmatrix structure.

• total(&self) -> i32 : returns the total number of cases as an i32.
• accuracy(&self) -> f32 : returns accuracy of the classifier as an f32.
• precision(&self) -> f32 : returns precision of the classifier as an f32.
• true_poitive_rate(&self) -> f32 : returns true positive rate of the classifier as an f32.
• false_positive_rate(&self) -> f32 : returns false positive rate of the classifier as an f32.
• misclassification_rate(&self) -> f32 : returns misclassification rate of the classifier as an f32.
• specificity(&self) -> f32 : returns specificity of the classifier as an f32.
• prevalance(&self) -> f32 : returns prevalance of the classifier as an f32.

pub fn total(&self) -> i32

To find total number of predictions

pub fn accuracy(&self) -> f32

To find the accuracy of the model

pub fn precision(&self) -> f32

To find the precision of the model

pub fn true_poitive_rate(&self) -> f32

To find the true positive rate of the model

pub fn false_positive_rate(&self) -> f32

To find the false positive rate of the model

pub fn misclassification_rate(&self) -> f32

To find the misclassification rate of the model

pub fn specificity(&self) -> f32

To find the specificity of the model

pub fn prevalance(&self) -> f32

To find the prevalance of the model