BinaryConfusionMatrix (FSharp.Stats) | FSharp.Stats

FSharp.Stats

BinaryConfusionMatrix Type

Namespace: FSharp.Stats.Testing
Assembly: FSharp.Stats.dll
Base Type: obj
All Interfaces: IEquatable<BinaryConfusionMatrix> , IStructuralEquatable , IComparable<BinaryConfusionMatrix> , IComparable , IStructuralComparable

Confusion matrix for binary classification

Record fields

Record Field	Description
`FN` Full Usage: `FN` Field type: `int`	false negatives: amount of labels incorrectly predicted as negative Field type: `int`
`FP` Full Usage: `FP` Field type: `int`	false positives: amount of labels incorrectly predicted as positive Field type: `int`
`TN` Full Usage: `TN` Field type: `int`	true negatives: amount of labels correctly predicted as negative Field type: `int`
`TP` Full Usage: `TP` Field type: `int`	true positives: amount of labels correctly predicted as positive Field type: `int`

Static members

Static member	Description
`BinaryConfusionMatrix.create (tp, tn, fp, fn)` Full Usage: `BinaryConfusionMatrix.create (tp, tn, fp, fn)` Parameters: tp : `int` tn : `int` fp : `int` fn : `int` Returns: `BinaryConfusionMatrix`	tp : `int` tn : `int` fp : `int` fn : `int` Returns: `BinaryConfusionMatrix`
`BinaryConfusionMatrix.ofPredictions (actual, predictions)` Full Usage: `BinaryConfusionMatrix.ofPredictions (actual, predictions)` Parameters: actual : `bool seq` predictions : `bool seq` Returns: `BinaryConfusionMatrix`	actual : `bool seq` predictions : `bool seq` Returns: `BinaryConfusionMatrix`
`BinaryConfusionMatrix.ofPredictions (positiveLabel, actual, predictions)` Full Usage: `BinaryConfusionMatrix.ofPredictions (positiveLabel, actual, predictions)` Parameters: positiveLabel : `'A` actual : `'A seq` predictions : `'A seq` Returns: `BinaryConfusionMatrix`	positiveLabel : `'A` actual : `'A seq` predictions : `'A seq` Returns: `BinaryConfusionMatrix`
`BinaryConfusionMatrix.thresholdMap (actual, predictions)` Full Usage: `BinaryConfusionMatrix.thresholdMap (actual, predictions)` Parameters: actual : `bool seq` predictions : `float seq` Returns: `(float * BinaryConfusionMatrix) array`	actual : `bool seq` predictions : `float seq` Returns: `(float * BinaryConfusionMatrix) array`
`BinaryConfusionMatrix.thresholdMap (actual, predictions, thresholds)` Full Usage: `BinaryConfusionMatrix.thresholdMap (actual, predictions, thresholds)` Parameters: actual : `bool seq` predictions : `float seq` thresholds : `float seq` Returns: `(float * BinaryConfusionMatrix) array`	actual : `bool seq` predictions : `float seq` thresholds : `float seq` Returns: `(float * BinaryConfusionMatrix) array`