ScoreEvaluation (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

All Known Implementing Classes:

AUPRCEvaluation, AveragePrecisionEvaluation, DCGEvaluation, MaximumF1Evaluation, NDCGEvaluation, PrecisionAtKEvaluation, PRGCEvaluation, ROCEvaluation
```
public interface ScoreEvaluation
```
Compute ranking/scoring based evaluation measures.

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Interface Description

static interface ScoreEvaluation.Adapter
Predicate to test whether an object is a true positive or false positive.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default double`	`evaluate(DBIDs ids, DoubleDBIDList nei)`	Evaluate given a list of positives and a scoring.
`double`	`evaluate(ScoreEvaluation.Adapter adapter)`	Evaluate a given predicate and iterator.
`double`	`expected(int pos, int all)`	Expected score for a random result.

- Method Detail
  - evaluate
```
double evaluate(ScoreEvaluation.Adapter adapter)
```
    Evaluate a given predicate and iterator.
    
    Parameters:
    
    adapter - Input data adapter
    
    Returns:
    
    Score
  - evaluate
```
default double evaluate(DBIDs ids,
                        DoubleDBIDList nei)
```
    Evaluate given a list of positives and a scoring.
    
    Parameters:
    
    ids - Positive IDs, usually a set.
    
    nei - Query Result
    
    Returns:
    
    Score
  - expected
```
double expected(int pos,
                int all)
```
    Expected score for a random result.
    
    Parameters:
    
    pos - Number of positive elements
    
    all - Total number of elements
    
    Returns:
    
    Expected score