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\n", numClasses + 1)); // Predicted Classes Header Row builder.append("<tr>"); // builder.append("<th>"); for (T predicted : classes) { builder.append("<th class=\"predicted-class-header\">"); builder.append(predicted); builder.append("</th>"); } builder.append("<th class=\"predicted-class-header\">Total"); builder.append("</tr>\n"); // Data Rows String firstColumnLabel = String.format( "<tr>", numClasses + 1); for (T actual : classes) { builder.append(firstColumnLabel); firstColumnLabel = "<tr>"; builder.append(String.format("<th class=\"actual-class-header\" >%s", actual)); for (T predicted : classes) { builder.append("<td class=\"count-element\">"); builder.append(getCount(actual, predicted)); builder.append("</td>"); } // Actual Class Totals Column builder.append("<td class=\"count-element\">"); builder.append(getActualTotal(actual)); builder.append("</td>"); builder.append("</tr>\n"); } // Predicted Class Totals Row builder.append("<tr>"); for (T predicted : classes) { builder.append("<td class=\"count-element\">"); builder.append(getPredictedTotal(predicted)); builder.append("</td>"); } builder.append("<td class=\"empty-space\">\n"); builder.append("</tr>\n"); builder.append("</table>\n"); return builder.toString(); } @Override public boolean equals(Object o){ if( !(o instanceof ConfusionMatrix) ) return false; ConfusionMatrix<?> c = (ConfusionMatrix)o; return matrix.equals(c.matrix) && classes.equals(c.classes); } public static void main(String[] args) { ConfusionMatrix<String> confusionMatrix = new ConfusionMatrix<>(Arrays.asList("a", "b", "c")); confusionMatrix.add("a", "a", 88); confusionMatrix.add("a", "b", 10); confusionMatrix.add("b", "a", 14); confusionMatrix.add("b", "b", 40); confusionMatrix.add("b", "c", 6); confusionMatrix.add("c", "a", 18); confusionMatrix.add("c", "b", 10); confusionMatrix.add("c", "c", 12); ConfusionMatrix<String> confusionMatrix2 = new ConfusionMatrix<>(confusionMatrix); confusionMatrix2.add(confusionMatrix); System.out.println(confusionMatrix2.toHTML()); System.out.println(confusionMatrix2.toCSV()); } }

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Java example source code file (ConfusionMatrix.java)

This example Java source code file (ConfusionMatrix.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

actual, class, confusionmatrix, list, map, multiset, override, predicted, serializable, string, stringbuilder, total, total\n, util

The ConfusionMatrix.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    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.deeplearning4j.eval;
import java.io.Serializable;
import java.util.*;

import com.google.common.collect.HashMultiset;
import com.google.common.collect.Multiset;

public class ConfusionMatrix<T extends Comparable implements Serializable {
    private Map<T, Multiset matrix;
    private List<T> classes;

    /**
     * Creates an empty confusion Matrix
     */
    public ConfusionMatrix(List<T> classes) {
        this.matrix = new HashMap<>();
        this.classes = classes;
    }

    public ConfusionMatrix() {}

    /**
     * Creates a new ConfusionMatrix initialized with the contents of another ConfusionMatrix.
     */
    public ConfusionMatrix(ConfusionMatrix<T> other) {
        this(other.getClasses());
        this.add(other);
    }

    /**
     * Increments the entry specified by actual and predicted by one.
     */
    public void add(T actual, T predicted) {
        add(actual, predicted, 1);
    }

    /**
     * Increments the entry specified by actual and predicted by count.
     */
    public void add(T actual, T predicted, int count) {
        if (matrix.containsKey(actual)) {
            matrix.get(actual).add(predicted, count);
        } else {
            Multiset<T> counts = HashMultiset.create();
            counts.add(predicted, count);
            matrix.put(actual, counts);
        }
    }

    /**
     * Adds the entries from another confusion matrix to this one.
     */
    public void add(ConfusionMatrix<T> other) {
        for (T actual : other.matrix.keySet()) {
            Multiset<T> counts = other.matrix.get(actual);
            for (T predicted : counts.elementSet()) {
                int count = counts.count(predicted);
                this.add(actual, predicted, count);
            }
        }
    }

    /**
     * Gives the applyTransformToDestination of all classes in the confusion matrix.
     */
    public List<T> getClasses() {
        return classes;
    }

    /**
     * Gives the count of the number of times the "predicted" class was predicted for the "actual"
     * class.
     */
    public int getCount(T actual, T predicted) {
        if (!matrix.containsKey(actual)) {
            return 0;
        } else {
            return matrix.get(actual).count(predicted);
        }
    }

    /**
     * Computes the total number of times the class was predicted by the classifier.
     */
    public int getPredictedTotal(T predicted) {
        int total = 0;
        for (T actual : classes) {
            total += getCount(actual, predicted);
        }
        return total;
    }

    /**
     * Computes the total number of times the class actually appeared in the data.
     */
    public int getActualTotal(T actual) {
        if (!matrix.containsKey(actual)) {
            return 0;
        } else {
            int total = 0;
            for (T elem : matrix.get(actual).elementSet()) {
                total += matrix.get(actual).count(elem);
            }
            return total;
        }
    }

    @Override
    public String toString() {
        return matrix.toString();
    }

    /**
     * Outputs the ConfusionMatrix as comma-separated values for easy import into spreadsheets
     */
    public String toCSV() {
        StringBuilder builder = new StringBuilder();

        // Header Row
        builder.append(",,Predicted Class,\n");

        // Predicted Classes Header Row
        builder.append(",,");
        for (T predicted : classes) {
            builder.append(String.format("%s,", predicted));
        }
        builder.append("Total\n");

        // Data Rows
        String firstColumnLabel = "Actual Class,";
        for (T actual : classes) {
            builder.append(firstColumnLabel);
            firstColumnLabel = ",";
            builder.append(String.format("%s,", actual));

            for (T predicted : classes) {
                builder.append(getCount(actual, predicted));
                builder.append(",");
            }
            // Actual Class Totals Column
            builder.append(getActualTotal(actual));
            builder.append("\n");
        }

        // Predicted Class Totals Row
        builder.append(",Total,");
        for (T predicted : classes) {
            builder.append(getPredictedTotal(predicted));
            builder.append(",");
        }
        builder.append("\n");

        return builder.toString();
    }

    /**
     * Outputs Confusion Matrix in an HTML table. Cascading Style Sheets (CSS) can control the table's
     * appearance by defining the empty-space, actual-count-header, predicted-class-header, and
     * count-element classes. For example
     *
     * @return html string
     */
    public String toHTML() {
        StringBuilder builder = new StringBuilder();

        int numClasses = classes.size();
        // Header Row
        builder.append("<table>\n");
        builder.append("<tr>
"); builder.append(String.format( "<th class=\"predicted-class-header\" colspan=\"%d\">Predicted Class
Actual ClassTotal


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