double getAccuracy(Classifier classifier, InstanceList instanceList) {
int total = instanceList.size();
int correct = 0;
for (Instance instance : instanceList) {
Classification classification = classifier.classify(instance);
if (classification.bestLabelIsCorrect()) correct++;
}
return (1.0 * correct) / total;
}
/**
* Shows accuracy according to Ben Wellner's definition of accuracy
*
* @param classifier
* @param instanceList
*/
private void showAccuracy(Classifier classifier, InstanceList instanceList) throws IOException {
int total = instanceList.size();
int correct = 0;
HashMap<String, Integer> errorMap = new HashMap<String, Integer>();
FileWriter errorWriter = new FileWriter("arg1Error.log");
for (Instance instance : instanceList) {
Classification classification = classifier.classify(instance);
if (classification.bestLabelIsCorrect()) {
correct++;
} else {
Arg1RankInstance rankInstance = (Arg1RankInstance) instance;
Document doc = rankInstance.getDocument();
Sentence s = doc.getSentence(rankInstance.getArg2Line());
String conn =
s.toString(rankInstance.getConnStart(), rankInstance.getConnEnd()).toLowerCase();
// String category = connAnalyzer.getCategory(conn);
if (errorMap.containsKey(conn)) {
errorMap.put(conn, errorMap.get(conn) + 1);
} else {
errorMap.put(conn, 1);
}
int arg2Line = rankInstance.getArg2Line();
int arg1Line =
rankInstance.getCandidates().get(rankInstance.getTrueArg1Candidate()).first();
int arg1HeadPos =
rankInstance.getCandidates().get(rankInstance.getTrueArg1Candidate()).second();
int predictedCandidateIndex =
Integer.parseInt(classification.getLabeling().getBestLabel().toString());
if (arg1Line == arg2Line) {
errorWriter.write("FileName: " + doc.getFileName() + "\n");
errorWriter.write("Sentential\n");
errorWriter.write("Conn: " + conn + "\n");
errorWriter.write("Arg1Head: " + s.get(arg1HeadPos).word() + "\n");
errorWriter.write(s.toString() + "\n\n");
} else {
errorWriter.write("FileName: " + doc.getFileName() + "\n");
errorWriter.write("Inter-Sentential\n");
errorWriter.write("Arg1 in : " + arg1Line + "\n");
errorWriter.write("Arg2 in : " + arg2Line + "\n");
errorWriter.write("Conn: " + conn + "\n");
errorWriter.write(s.toString() + "\n");
Sentence s1 = doc.getSentence(arg1Line);
errorWriter.write("Arg1Head: " + s1.get(arg1HeadPos) + "\n");
errorWriter.write(s1.toString() + "\n\n");
}
int predictedArg1Line = rankInstance.getCandidates().get(predictedCandidateIndex).first();
int predictedArg1HeadPos =
rankInstance.getCandidates().get(predictedCandidateIndex).second();
Sentence pSentence = doc.getSentence(predictedArg1Line);
errorWriter.write(
"Predicted arg1 sentence: "
+ pSentence.toString()
+ " [Correct: "
+ (predictedArg1Line == arg1Line)
+ "]\n");
errorWriter.write("Predicted head: " + pSentence.get(predictedArg1HeadPos).word() + "\n\n");
}
}
errorWriter.close();
Set<Entry<String, Integer>> entrySet = errorMap.entrySet();
List<Entry<String, Integer>> list = new ArrayList<Entry<String, Integer>>(entrySet);
Collections.sort(
list,
new Comparator<Entry<String, Integer>>() {
@Override
public int compare(Entry<String, Integer> o1, Entry<String, Integer> o2) {
if (o1.getValue() > o2.getValue()) return -1;
else if (o1.getValue() < o2.getValue()) return 1;
return 0;
}
});
for (Entry<String, Integer> item : list) {
System.out.println(item.getKey() + "-" + item.getValue());
}
System.out.println("Total: " + total);
System.out.println("Correct: " + correct);
System.out.println("Accuracy: " + (1.0 * correct) / total);
}
