[−][src]Struct smartcore::metrics::ClassificationMetrics
Use these metrics to compare classification models.
Implementations
impl ClassificationMetrics
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pub fn accuracy() -> Accuracy
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Accuracy score, see accuracy.
pub fn recall() -> Recall
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Recall, see recall.
pub fn precision() -> Precision
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Precision, see precision.
pub fn f1<T: RealNumber>(beta: T) -> F1<T>
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F1 score, also known as balanced F-score or F-measure, see F1.
pub fn roc_auc_score() -> AUC
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Area Under the Receiver Operating Characteristic Curve (ROC AUC), see AUC.
Auto Trait Implementations
impl RefUnwindSafe for ClassificationMetrics
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impl Send for ClassificationMetrics
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impl Sync for ClassificationMetrics
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impl Unpin for ClassificationMetrics
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impl UnwindSafe for ClassificationMetrics
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,