public Algorithms(ITestOutputHelper output)
{
alg01 = new Algorithm01(0.1, 0.8);
var psi = new Dictionary <string, double>();
psi["c1"] = 0.8;
psi["c2"] = 0.6;
alg02 = new Algorithm02(0.1, psi);
this.output = output;
}
static void performAlg02(FuzzyTable table, int indexForParam)
{
Console.WriteLine("performAlg02Exp: " + indexForParam);
int size = 11;
Double[] kriteriaArray = new Double[size];
var psi = new Dictionary <string, double>();
psi["no"] = 0.7;
psi["yes"] = 0.7;
for (int i = 0; i < size; i++)
{
var beta = 0.0 + 0.1 * i;
var dataSize = 0;
for (int j = 0; j < 40; j++)
{
Algorithm02 alg02;
switch (indexForParam)
{
case 0:
psi["no"] = beta;
alg02 = new Algorithm02(0, psi);
break;
case 1:
psi["yes"] = beta;
alg02 = new Algorithm02(0, psi);
break;
default:
alg02 = new Algorithm02(0, psi);
break;
}
alg02.init(table);
var validation02 = new TenCrossValidation();
var matrix02 = validation02.Validate(10, table, alg02);
if (matrix02 != null)
{
var kriteria = (matrix02.Sensitivity() + matrix02.Specificity()) / 2;
kriteriaArray[i] += kriteria;
dataSize++;
}
}
Console.WriteLine(indexForParam + " CURRENT beta: " + (beta) + " :" + kriteriaArray[i] / dataSize);
}
}
