rmontanana/PBC4cipTest
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Enhance test output

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2024-12-23 18:20:15 +01:00
parent 4e7b5f5c39
commit 68c771b7b0
6 changed files with 54 additions and 64 deletions
Download Patch File Download Diff File Expand all files Collapse all files

31
src/main/java/com/testpbc4/App.java
View File

@@ -19,9 +19,7 @@ public class App {
static String path = "data/";
static String datasetsFile = path + "datasets.txt";
static String outputFile = "results_pbc4.txt";
static boolean debug = true;
static boolean stratify = false;
static boolean normalizeData = false;
static boolean debug = false;
public static void printAndExit(String s) {
System.out.println(s);
@@ -30,10 +28,8 @@ public class App {
private static Instances getInstances(String fileName) {
DataSource source = null;
System.out.println(String.format("Reading file " + path + "%s.arff", fileName));
try {
source = new DataSource(String.format(path + "%s.arff", fileName));
System.out.println("File read.");
return source.getDataSet();
} catch (Exception e) {
printAndExit(
@@ -51,21 +47,12 @@ public class App {
Instances instances;
Instances training = null;
Instances test = null;
long startTime;
// Normalize normalize = new Normalize();
// normalize.setInputFormat(instancesIn);
// if (normalizeData) {
// instances = Filter.useFilter(instancesIn, normalize);
// } else {
instances = instancesIn;
// }
instances.randomize(rand);
if (stratify) {
instances.stratify(numFolds);
}
instances.stratify(numFolds);
for (int i = 0; i < numFolds; i++) {
startTime = System.currentTimeMillis();
long startTime = System.currentTimeMillis();
training = instances.trainCV(numFolds, i);
test = instances.testCV(numFolds, i);
pb4.buildClassifier(training);
@@ -138,26 +125,22 @@ public class App {
double[] complexityStat = new double[2];
int[] seeds = { 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1 };
String dataset;
String debugMsg, stratMsg, normMsg;
ArrayList<Double> timeSpent;
ArrayList<Double> accuracy;
ArrayList<Double> complexity;
debugMsg = debug ? "With debug output" : "";
stratMsg = stratify ? "stratified" : "without stratification";
normMsg = normalizeData ? " with normalization" : " without normalization";
try {
file = new File(datasetsFile);
} catch (Exception e) {
printAndExit(String.format("*** Error trying to read datasets file... (%s)",
e.getMessage()));
}
System.out.println(String.format("%d fold cross validation %s %s %s",
numFolds, stratMsg, debugMsg, normMsg));
System.out.println(String.format("%d fold cross validation stratified", numFolds));
initializeOutput();
sc = new Scanner(file);
while (sc.hasNextLine()) {
dataset = sc.nextLine();
System.out.print(String.format("Processing dataset %-30s [ ", dataset));
if (debug && dataset.equals("balloons")) {
printAndExit("* Check error output. Debug End.");
}
@@ -165,14 +148,13 @@ public class App {
accuracy = new ArrayList<>();
complexity = new ArrayList<>();
for (int seed : seeds) {
System.out.print(String.format("%d ", seed));
// Establece la semilla
gen = new Random(seed);
// Obtiene los datos
instances = getInstances(dataset);
instances.randomize(gen);
instances.setClassIndex(instances.numAttributes() - 1);
System.out.println("Instances:");
System.out.println(instances.toString());
try {
validation(instances, seed, accuracy, timeSpent, complexity);
} catch (Exception e) {
@@ -181,6 +163,7 @@ public class App {
}
}
System.out.println("]");
accuracyStat = meanAndDeviation(accuracy);
timeStat = meanAndDeviation(timeSpent);
complexityStat = meanAndDeviation(complexity);