public List<double> realVals; //Y (independent variable) values as read from the input file
#endregion Fields
#region Constructors
public ValidCombination()
{
realVals = new List<double>();
calcVals = new List<RowVal>();
errors = new List<double>();
coeffs = new PolCoeffs();
dependentVars = new Combination();
independentVar = new Variable();
assessment = new Assessment();
}
//Method called to add the assessing factors to the corresponding Assessment variable
private Assessment addFactor(int curCount, Assessment curAssessment, ValidCombination curValidComb, Config curConfig)
{
AssessmentFactor curFactor = new AssessmentFactor();
if (curCount == 0)
{
curFactor.name = "In-sample accuracy";
curFactor.weight = 10.0;
if (curValidComb.averError <= curConfig.limitVals.valueIsZero) //Zero cannot be considered because the (floating-point) double type might provoke errors
{
//Too perfect to continue
curFactor.rating = 10.0;
curAssessment.factors.Add(curFactor);
curAssessment.totWeight = 10.0;
curAssessment.globalRating = 10.0;
return curAssessment;
}
if (curValidComb.averError <= curConfig.fitConfig.globalAver * 0.05)
{
double curMinPercBelow = (double)curValidComb.lowErrorCount / (double)curValidComb.errors.Count;
if (curMinPercBelow >= 0.99) curFactor.rating = 9.0;
else if (curMinPercBelow >= 0.95) curFactor.rating = 8.0;
}
else
{
curFactor.rating = 8.0 * (curConfig.fitConfig.globalAver - curValidComb.averError) / (0.95 * curConfig.fitConfig.globalAver);
}
}
else if (curCount == 1 || curCount == 2)
{
curFactor.name = "Quality of independent variable";
double averRatingVars = curValidComb.independentVar.input.preAnalysis.rating;
if (curCount == 1)
{
curFactor.name = "Quality of dependent variable(s)";
averRatingVars = curValidComb.dependentVars.items.Count == 0 ? 10 : curValidComb.dependentVars.items.Average(x => x.variable.input.preAnalysis.rating);
}
curFactor.weight = 8.0;
if (curValidComb.errors.Count >= curConfig.fitConfig.minNoCases)
{
curFactor.rating = 8.0;
if (curValidComb.errors.Count >= 1.25 * curConfig.fitConfig.minNoCases) curFactor.rating = 10.0;
else if (curValidComb.errors.Count >= 1.1 * curConfig.fitConfig.minNoCases) curFactor.rating = 9.0;
}
curFactor.rating = Math.Round(0.5 * (double)curFactor.rating + 0.5 * averRatingVars, 0);
}
else if (curCount == 3)
{
curFactor.name = "Solution tunability";
curFactor.weight = 6.0;
curFactor.rating = ratingTunability(curValidComb);
}
else if (curCount == 4)
{
curFactor.name = "Complexity of polynomial fit";
curFactor.weight = 5.0;
curFactor.rating = ratingFitComplexity(curValidComb);
}
if (curFactor.rating < 0.0) curFactor.rating = 0.0;
curAssessment.totWeight = curAssessment.totWeight + curFactor.weight;
curAssessment.factors.Add(curFactor);
return curAssessment;
}
