public void UI() {
tw.println(
"-------------------------------------------------- User Independent -------------------------------------------------");
tw.println();
for (int numberTrainingExamples = 2; numberTrainingExamples <= 9; numberTrainingExamples++) {
tw.println(
"------------------------------------------- numberTrainingExamples="
+ numberTrainingExamples
+ " ---------------------------------------");
tw.println();
confusionMatrix = new int[26][26];
usersTrainingRecognitionRate = new double[10];
usersRecognitionRate = new double[10];
for (int user = 1; user <= 5; user++) {
UI(user, numberTrainingExamples);
}
tw.println("numberTrainingExamples=" + numberTrainingExamples + " :");
tw.println();
tw.println(Utils.matrixToString(confusionMatrix));
tw.println(Utils.matrixToStringForLatex(confusionMatrix));
double[] informations = Utils.informations(confusionMatrix);
tw.println();
tw.println("umberTrainingExamples=" + numberTrainingExamples + " :");
tw.println();
for (int user = 0; user < 5; user++)
tw.println(
"Recognition rate for training whith user"
+ (user + 1)
+ " = "
+ usersTrainingRecognitionRate[user]);
tw.println();
for (int user = 0; user < 5; user++)
tw.println("Recognition rate for user" + (user + 1) + " = " + usersRecognitionRate[user]);
tw.println();
tw.println("Goodclass examples = " + informations[0]);
tw.println("Badclass examples = " + informations[1]);
tw.println("total examples = " + informations[2]);
tw.println("Recognition rate = " + informations[3]);
tw.println(
"----------------------------------------------------------------------------------------------------------------");
tw.println();
tw.println();
tw.println();
tw.println(
"================================================================================================================");
tw.println();
}
tw.close();
}
