/* * ARX: Powerful Data Anonymization * Copyright 2012 - 2017 Fabian Prasser, Florian Kohlmayer and contributors * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.deidentifier.arx.gui.view.impl.utility; import java.util.ArrayList; import java.util.List; import org.deidentifier.arx.aggregates.StatisticsClassification; import org.deidentifier.arx.gui.Controller; import org.deidentifier.arx.gui.model.ModelEvent.ModelPart; import org.deidentifier.arx.gui.resources.Resources; import org.eclipse.swt.widgets.Composite; /** * This view displays a statistics about the performance of logistic regression classifiers * * @author Fabian Prasser */ public class ViewStatisticsLogisticRegressionOutput extends ViewStatisticsLogisticRegression { /** * Creates a new instance. * * @param parent * @param controller */ public ViewStatisticsLogisticRegressionOutput(final Composite parent, final Controller controller) { super(parent, controller, ModelPart.OUTPUT); } @Override protected String[] getColumnHeaders() { return new String[] { Resources.getMessage("ViewStatisticsClassificationInput.3"), //$NON-NLS-1$ Resources.getMessage("ViewStatisticsClassificationInput.9"), //$NON-NLS-1$ Resources.getMessage("ViewStatisticsClassificationInput.1"), //$NON-NLS-1$ Resources.getMessage("ViewStatisticsClassificationInput.13"), //$NON-NLS-1$ Resources.getMessage("ViewStatisticsClassificationInput.7"), //$NON-NLS-1$ Resources.getMessage("ViewStatisticsClassificationInput.12") //$NON-NLS-1$ }; } @Override protected List<Double> getColumnValues(StatisticsClassification result) { List<Double> list = new ArrayList<Double>(); list.add(result.getZeroRAccuracy()); list.add(result.getOriginalAccuracy()); list.add(result.getAccuracy()); if (result.getOriginalAccuracy() - result.getZeroRAccuracy() == 0d) { list.add(result.getAccuracy() / result.getZeroRAccuracy()); } else { list.add((result.getAccuracy() - result.getZeroRAccuracy()) / (result.getOriginalAccuracy() - result.getZeroRAccuracy())); } list.add(result.getAverageError()); list.add(result.getAverageError()-result.getOriginalAverageError()); return list; } }