/// <summary>
/// Compute model error for a given data set.
/// </summary>
///
/// <param name="inputs">The input points.</param>
/// <param name="outputs">The output points.</param>
///
/// <returns>The percent of misclassification errors for the data.</returns>
///
public double ComputeError(int[][] inputs, int[] outputs)
{
int errors = 0;
Parallel.For(0, inputs.Length, i =>
{
int expectedOutput = outputs[i];
int actualOutput = Classifier.Compute(inputs[i]);
if (expectedOutput != actualOutput)
{
Interlocked.Increment(ref errors);
}
});
return(errors / (double)inputs.Length);
}