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); } }