public void CalculateResultForRules(FuzzyTable testData, List <Rule> rules, ConfusionMatrix confusionMatrix, double tolerance = .5)
{
Classificator classificator = new Classificator();
for (int i = 0; i < testData.GetTable().Rows.Count; i++)
{
var predictedResult = classificator.Classify(testData, i, rules);
var predicterPositiveResult = predictedResult[testData.PositiveColumn.Id];
var predicterNegativeResult = predictedResult[testData.NegativeColumn.Id];
var actualPositiveResult = testData.GetPositiveColumn(i);
var actualNegativeResult = testData.GetNegativeColumn(i);
if (Math.Abs(predicterPositiveResult - actualPositiveResult) < tolerance)
{
confusionMatrix.TruePositiveCount++;
}
else
{
confusionMatrix.FalseNegativeCount++;
}
if (Math.Abs(predicterNegativeResult - actualNegativeResult) < tolerance)
{
confusionMatrix.TrueNegativeCount++;
}
else
{
confusionMatrix.FalsePositiveCount++;
}
}
}
private static void DoResearch(Classificator classificator)
{
var data = GetDataLines();
var curveInfos = GetCurvesInfos(data);
var classifiedCurveInfos = curveInfos.Select(curveInfo => new
{
curveInfo,
curveClass = classificator.Classify(curveInfo)
})
.ToArray();
var classesOfCurves = classifiedCurveInfos.GroupBy(info => info.curveInfo.DigitsCountOfFiledOrder)
.OrderBy(g => g.Key)
.Select(g =>
{
var classesInfo = g
.AsEnumerable()
.GroupBy(cci => cci.curveClass.ClassNumber)
.OrderBy(gr => gr.Key)
.Select(gr => new
{
ClassNumber = gr.Key,
Count = gr.Count()
}).ToDictionary(x => x.ClassNumber, x => x.Count);
return(new
{
Dimension = g.Key,
ClassesInfo = classesInfo
});
})
.ToArray();
var classesNumber = classesOfCurves.Max(x => x.ClassesInfo.Count);
var paddingLeft = 8;
Console.Write("Dim".PadLeft(paddingLeft, ' '));
for (var i = 0; i < classesNumber; i++)
{
Console.Write($"#{i + 1}".PadLeft(paddingLeft, ' '));
}
Console.WriteLine();
foreach (var classesOfCurve in classesOfCurves)
{
Console.Write($"{classesOfCurve.Dimension}".PadLeft(paddingLeft, ' '));
for (var i = 0; i < classesNumber; i++)
{
if (classesOfCurve.ClassesInfo.ContainsKey(i + 1))
{
Console.Write($"{classesOfCurve.ClassesInfo[i + 1]}".PadLeft(paddingLeft, ' '));
}
else
{
Console.Write("0".PadLeft(paddingLeft, ' '));
}
}
Console.WriteLine();
}
}