83 lines
1.8 KiB
Java
83 lines
1.8 KiB
Java
package Presenter.Evaluation;
|
|
|
|
import Model.Line;
|
|
import Presenter.Algorithms.FastElementSelector;
|
|
import java.util.ArrayList;
|
|
import java.util.LinkedList;
|
|
import java.util.List;
|
|
|
|
/**
|
|
* Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.
|
|
*
|
|
* @Author: Armin Wolf
|
|
* @Email: a_wolf28@uni-muenster.de
|
|
* @Date: 07.09.2017.
|
|
*/
|
|
public class PercentageErrorBasedMeasure {
|
|
|
|
|
|
private ArrayList<Double> percentageError;
|
|
|
|
public PercentageErrorBasedMeasure(final LinkedList<Line> lines, Double m, Double b){
|
|
|
|
ArrayList<Double> sampson = new ArrayList<>();
|
|
|
|
for (Line line : lines) {
|
|
Double e = Math.pow(m * line.getM() - line.getB() + b, 2) / (Math.pow(m, 2) + 1);
|
|
sampson.add(e);
|
|
}
|
|
|
|
percentageError = new ArrayList<>();
|
|
|
|
for (int j=0;j<sampson.size();j++){
|
|
percentageError.add(100 * sampson.get(j) / lines.get(j).getB());
|
|
}
|
|
}
|
|
|
|
/* Percentege Error Approximation Measures */
|
|
//verschiedene Eingaben für einen Alg.
|
|
public Double mape(){
|
|
double error = 0;
|
|
|
|
for (Double d : percentageError) {
|
|
error += Math.abs(d);
|
|
}
|
|
|
|
error /= percentageError.size();
|
|
|
|
return error;
|
|
}
|
|
|
|
public Double mdape(){
|
|
|
|
ArrayList<Double> abs = new ArrayList<>();
|
|
|
|
for (Double d : percentageError){
|
|
abs.add(Math.abs(d));
|
|
}
|
|
|
|
return FastElementSelector.randomizedSelect(abs, abs.size() * 0.5);
|
|
}
|
|
|
|
public Double rmspe(){
|
|
double error = 0;
|
|
|
|
for (Double d : percentageError) {
|
|
error += Math.pow(d, 2);
|
|
}
|
|
|
|
error /= percentageError.size();
|
|
|
|
return Math.sqrt(error);
|
|
}
|
|
|
|
public Double rmdspe(){
|
|
ArrayList squares = new ArrayList();
|
|
for (Double d : percentageError){
|
|
squares.add(Math.pow(d,2));
|
|
}
|
|
|
|
return Math.sqrt(FastElementSelector.randomizedSelect(squares, squares.size() * 0.5));
|
|
}
|
|
}
|