public void scoreModel(DAO.FileDAO fileDAO, NeuralNetwork network)
{
int pogodak = 0;
for (int i = 0; i < fileDAO.XTest.Count; ++i)
{
List <Double> prediction = network.predict(fileDAO.XTest[i]);
double alive = 0;
if (prediction[0] > 0.5)
{
alive = 1;
}
Console.WriteLine("Real result:{0}, Predicted result {1}", fileDAO.YTest[i][0], prediction[0]);
if (alive == fileDAO.YTest[i][0])
{
++pogodak;
}
}
Console.Write("Pogodjeno {0} od {1} ", pogodak, fileDAO.YTest.Count);
Console.Write("Tacnost {0} %", pogodak * 100 / fileDAO.YTest.Count);
Console.ReadLine();
}
/// <summary>
///
/// Metoda koja daje broj pogodjenih predikcija,
/// koja zavisi od algoritma odredjivanja da li je nesto
/// bio ili nije bio pogodak.
///
/// </summary>
/// <param name="fileDAO"></param>
/// <param name="network"></param>
/// <returns></returns>
public int giveMeNumberOfHits(DAO.FileDAO fileDAO, NeuralNetwork network)
{
int hit = 0;
for (int i = 0; i < fileDAO.XTest.Count; ++i)
{
List <Double> prediction = network.predict(fileDAO.XTest[i]);
double live = 0;
if (prediction[0] > 0.5)
{
live = 1;
}
if (fileDAO.YTest[i][0] == live)
{
++hit;
}
Console.WriteLine("Real result:{0}, Predicted result {1}", fileDAO.YTest[i][0], prediction[0]);
}
return(hit);
}
public void giveMeScore(DAO.FileDAO fileDAO, NeuralNetwork network)
{
Prediction prediction = new Prediction();
int brojPogodaka = prediction.giveMeNumberOfHits(fileDAO, network);
writeScore(fileDAO, brojPogodaka);
}
/// <summary>
///
/// Metoda koja daje broj pogodjenih predikcija,
/// koja zavisi od algoritma odredjivanja da li je nesto
/// bio ili nije bio pogodak.
///
/// U ovom zadatku je algoritam preko tp,tn,fp,fn.
///
/// </summary>
/// <param name="fileDAO"></param>
/// <param name="network"></param>
/// <returns></returns>
public void givePredicton(DAO.FileDAO fileDAO, NeuralNetwork network)
{
double TP = 0.0;
double TN = 0.0;
double FP = 0.0;
double FN = 0.0;
for (int i = 0; i < fileDAO.XTest.Count; ++i)
{
List <Double> prediction = network.predict(fileDAO.XTest[i]);
Console.WriteLine("Real result:{0}, Predicted result {1}", fileDAO.YTest[i][0], prediction[0]);
if (prediction[0] > 0.5 && fileDAO.YTest[i][0] == 1)
{
TP += 1.0;
}
if (prediction[0] < 0.5 && fileDAO.YTest[i][0] == 0)
{
TN += 1.0;
}
if (prediction[0] > 0.5 && fileDAO.YTest[i][0] == 0)
{
FP += 1.0;
}
if (prediction[0] < 0.5 && fileDAO.YTest[i][0] == 1)
{
FN += 1.0;
}
}
double precision = TP / (TP + FP);
double recall = TP / (TP + FN);
double FL_score = (precision * recall) / (precision + recall);
Console.WriteLine("precision: " + precision);
Console.WriteLine("recal: " + recall);
Console.WriteLine("FL score: " + FL_score);
Console.ReadLine();
}
/// <summary>
/// Metoda koja sluzi samo za ispis skora
/// </summary>
/// <param name="fileDAO"></param>
/// <param name="brojPogodaka"></param>
private static void writeScore(DAO.FileDAO fileDAO, int brojPogodaka)
{
// Console.Write("Pogodjeno {0} od {1} ", pogodak, fileDAO.YTest.Count);
Console.Write("Score {0} %", brojPogodaka * 100 / fileDAO.YTest.Count);
Console.ReadLine();
}
public void giveMeScore(DAO.FileDAO fileDAO, NeuralNetwork network)
{
Prediction prediction = new Prediction();
prediction.givePredicton(fileDAO, network);
}
