public double ValidateWithMse(double[][] validateInput, double[] validateOutput)
{
var sumSquaredError = 0.0;
for (var i = 0; i < validateInput.Length; i++)
{
var result = Classifier.Classify(validateInput[i]);
var finalResult = result.Max();
for (var j = 0; j < result.Length; j++)
{
if (Math.Abs(result[j] - finalResult) < 0.000001 && Math.Abs(validateOutput[i] - (result.Length - j)) < 0.000001)
{
sumSquaredError += Math.Pow((1 - finalResult), 2);
break;
}
else if (j == result.Length - 1)
{
sumSquaredError += 1;
}
}
}
return(sumSquaredError / validateInput.Length);
}
private int[] GetPredictedValues()
{
var testInput = dataPreparator.GetTestInput();
var testOutput = dataPreparator.GetTestOutput();
var predicted = new int[testOutput.Length];
for (var i = 0; i < testInput.Length; i++)
{
var result = classifier.Classify(testInput[i]);
var maxResult = result.Max();
var indexOfMax = result.IndexOf(maxResult);
for (var j = 0; j < result.Length; j++)
{
if (indexOfMax == j)
{
predicted[i] = result.Length - j - 1;
}
}
}
return(predicted);
}
