//Function that takes the computed confusion matrices
//and calculates:
//Average Accuracy, Average Accuracy per class, Average Recall per class
public static Double[,] ProcessStatistics(ConfusionMatrix[,] data)
{
Double[,] average = new Double[4, 5];
//For each algorithm
for (int i = 0; i < 4; i++)
{
//For each confusion matrix
for (int j = 0; j < 5; j++)
{
//Calculate
average[i, 0] += data[i, j].Accuracy; //General accuracy
average[i, 1] += data[i, j].PredictedPositives / GetNonZero(data[i, j].ActualPositives + data[i, j].FalsePositives); //Accuracy for class 1
average[i, 2] += data[i, j].PredictedNegatives / GetNonZero(data[i, j].ActualNegatives + data[i, j].FalseNegatives); //Accuracy for class 2
average[i, 3] += data[i, j].TruePositives / GetNonZero(data[i, j].TruePositives + data[i, j].FalseNegatives); //Recall for class 1
average[i, 4] += data[i, j].TrueNegatives / GetNonZero(data[i, j].TrueNegatives + data[i, j].FalsePositives); //Recall fro class 2
}
}
return(average.Apply(x => x / 5));
}