/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.com
*
* This program is free software: you can redistribute it and/or modify it under the terms of the
* GNU Affero General Public License as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without
* even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License along with this program.
* If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.performance;
import com.rapidminer.tools.Tools;
/**
* The average relative error in a lenient way of calculation: <i>Sum(|label-predicted|/max(|label|,
* |predicted|))/#examples</i>. The relative error of label 0 and prediction 0 is defined as 0.
*
* @author Ingo Mierswa
*/
public class LenientRelativeError extends SimpleCriterion {
private static final long serialVersionUID = -6816726234908353254L;
public LenientRelativeError() {}
public LenientRelativeError(LenientRelativeError sc) {
super(sc);
}
@Override
public double countExample(double label, double predictedLabel) {
double diff = Math.abs(label - predictedLabel);
double absLabel = Math.abs(label);
double absPrediction = Math.abs(predictedLabel);
if (Tools.isZero(diff)) {
return 0.0d;
} else {
return diff / Math.max(absLabel, absPrediction);
}
}
/**
* Indicates whether or not percentage format should be used in the {@link #toString} method.
* The default implementation returns false.
*/
@Override
public boolean formatPercent() {
return true;
}
@Override
public String getName() {
return "relative_error_lenient";
}
@Override
public String getDescription() {
return "Average lenient relative error (average of absolute deviation of the prediction from the actual value divided by maximum of the actual value and the prediction)";
}
}