Number of Inputs: 24 Nature of Inputs: Evenly-Distributed, Independent, Range: -1.0 to +1.0 Expected Output: 0 if Sum < 0 1 if Sum > 0 Number of Sets: (50 + 50) * 2 "GA_BestTrain.cpp" Best of Training Accuracy: 97% Corresponding Validation Accuracy: 55% "GA_BestValid.cpp" Best of Validation Accuracy: 66% Using Data from Human Program "Random-gp.cpp" Training Data: "Out1.txt" Validation Data: "Out2.txt"