ClassifierPerformance

ClassifierPerformance computes measures of classification performance

They are:

* Precision * Recall * Specificity * Accuracy * F1

The (boolean) "classification task" is defined by two arguments:

1) predict: given a datum, determines whether the value is "in" the retrieved set 2) actual : given a datum, determines whether the value is *actually* "in" the retrieved set

See http://en.wikipedia.org/wiki/Precision_and_recall for more information.

http://en.wikipedia.org/wiki/F1_score

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

Instance Constructors

new ClassifierPerformance(data: F, retrieve: (DATA) ⇒ Boolean, relevant: (DATA) ⇒ Boolean)(implicit functor: Functor[F, DATA, (N, N, N, N), G], agg: Aggregatable[G, (N, N, N, N), (N, N, N, N)], field: Field[N])

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val accuracy: N
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val data: F
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def f1Score: N
def fScore(β: Double = 1d): N
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val fn: N
val fp: N
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val precision: N
val recall: N
val relevant: (DATA) ⇒ Boolean
val retrieve: (DATA) ⇒ Boolean
val scores: G
val specificity: N
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val tn: N
val tp: N
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object ClassifierPerformance | package ml

case class ClassifierPerformance[N, DATA, F, G](data: F, retrieve: (DATA) ⇒ Boolean, relevant: (DATA) ⇒ Boolean)(implicit functor: Functor[F, DATA, (N, N, N, N), G], agg: Aggregatable[G, (N, N, N, N), (N, N, N, N)], field: Field[N]) extends Product with Serializable

Instance Constructors

new ClassifierPerformance(data: F, retrieve: (DATA) ⇒ Boolean, relevant: (DATA) ⇒ Boolean)(implicit functor: Functor[F, DATA, (N, N, N, N), G], agg: Aggregatable[G, (N, N, N, N), (N, N, N, N)], field: Field[N])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val accuracy: N

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val data: F

final def eq(arg0: AnyRef): Boolean

def f1Score: N

def fScore(β: Double = 1d): N

def finalize(): Unit

val fn: N

val fp: N

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val precision: N

val recall: N

val relevant: (DATA) ⇒ Boolean

val retrieve: (DATA) ⇒ Boolean

val scores: G

val specificity: N

final def synchronized[T0](arg0: ⇒ T0): T0

val tn: N

val tp: N

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped