EvaluationResult

Documentation of 'org.neuroph.eval.EvaluationResult' Java class EvaluationResult

```
public class EvaluationResult
extends java.lang.Object
```
Create class that will hold statistics for all evaluated datasets - avgs, mx, min, std, variation Result of the evaluation procedure

Constructors
Constructor and Description
`EvaluationResult()`

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ClassificationMetrics[]`	`getClassificationMetricses()`
`ConfusionMatrix`	`getConfusionMatrix()`
`DataSet`	`getDataSet()`
`double`	`getMeanSquareError()`
`NeuralNetwork`	`getNeuralNetwork()`
`void`	`setConfusionMatrix(ConfusionMatrix confusionMatrix)`
`void`	`setDataSet(DataSet dataSet)`
`void`	`setMeanSquareError(double meanSquareError)`
`void`	`setNeuralNetwork(NeuralNetwork neuralNetwork)`
`java.lang.String`	`toString()`

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

public ConfusionMatrix getConfusionMatrix()

public void setConfusionMatrix(ConfusionMatrix confusionMatrix)

public ClassificationMetrics[] getClassificationMetricses()

public void setMeanSquareError(double meanSquareError)

public void setDataSet(DataSet dataSet)

public NeuralNetwork getNeuralNetwork()

public void setNeuralNetwork(NeuralNetwork neuralNetwork)

Class EvaluationResult