Encog.Neural.Networks.BasicNetwork.CalculateError C# (CSharp) Method

        public double CalculateError(IMLDataSet data)
        {
            return EncogUtility.CalculateRegressionError(this, data);
        }

 public double EvaluateMPROP(BasicNetwork network, IMLDataSet data)
 {
     var train = new ResilientPropagation(network, data);
     long start = DateTime.Now.Ticks;
     Console.WriteLine(@"Training 20 Iterations with MPROP");
     for (int i = 1; i <= 20; i++)
     {
         train.Iteration();
         Console.WriteLine("Iteration #" + i + " Error:" + train.Error);
     }
     //train.finishTraining();
     long stop = DateTime.Now.Ticks;
     double diff = new TimeSpan(stop - start).Seconds;
     Console.WriteLine("MPROP Result:" + diff + " seconds.");
     Console.WriteLine("Final MPROP error: " + network.CalculateError(data));
     return diff;
 }