/// <summary>
/// Initializes a new instance of the <see cref="GeneticSharp.Domain.Selections.SelectionException"/> class.
/// </summary>
/// <param name="selection">The Selection where ocurred the error.</param>
/// <param name="message">The error message.</param>
/// <param name="innerException">The inner exception.</param>
public SelectionException(ISelection selection, string message, Exception innerException)
: base("{0}: {1}".With(selection != null ? selection.GetType().Name : String.Empty, message), innerException)
{
Selection = selection;
}
public int Prediction(Customer customer)
{
double prediction = 0.0;
double cutoffRate = 0.85;
for (int i = 0; i < customer.attributes.Count; i++)
{
prediction += customer.attributes[i] * topSeed.attributes[i];
}
Console.WriteLine("Genetic Algorithms");
Console.WriteLine("population size: " + size);
Console.WriteLine("generations: " + k);
Console.WriteLine("crossover rate: " + crossoverRate);
Console.WriteLine("mutation rate: " + mutationRate);
Console.WriteLine("selection method: " + selection.GetType().Name);
Console.WriteLine("crossover method: " + crossover.GetType().Name);
Console.WriteLine("size of training data: " + trainingData.Count);
Console.WriteLine();
Console.WriteLine("the best fitness value (" + topSeed.fitness + ") belongs to the following seed:");
Console.Write("[");
for (int i = 0; i < topSeed.attributes.Count; i++)
{
if (i < topSeed.attributes.Count - 1)
{
Console.Write(Math.Round(topSeed.attributes[i], 3) + ", ");
}
else
{
Console.Write(Math.Round(topSeed.attributes[i], 3) + "]");
}
}
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("The customer that was input has the following attributes:");
Console.Write("[");
for (int i = 0; i < customer.attributes.Count; i++)
{
if (i < customer.attributes.Count - 1)
{
Console.Write(customer.attributes[i] + ", ");
}
else
{
Console.Write(customer.attributes[i] + "]");
}
}
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("After multiplying the customer with the top seed we receive the following prediction: " + prediction);
if (prediction > cutoffRate)
{
Console.WriteLine("The prediction is greater than the cutoffrate (" + cutoffRate + ")");
Console.WriteLine("We can therefore assume that this customer is pregnant");
return(1);
}
else
{
Console.WriteLine("The prediction is lower than the cutoffrate (" + cutoffRate + ")");
Console.WriteLine("We can therefore assume that this customer is not pregnant");
return(0);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="GeneticSharp.Domain.Selections.SelectionException"/> class.
/// </summary>
/// <param name="selection">The Selection where ocurred the error.</param>
/// <param name="message">The error message.</param>
/// <param name="innerException">The inner exception.</param>
public SelectionException(ISelection selection, string message, Exception innerException)
: base("{0}: {1}".With(selection != null ? selection.GetType().Name : String.Empty, message), innerException)
{
Selection = selection;
}
