I wanna ask about Neural Network.I have a research and programming about Neural Network using Backpropagation algorithm for prediction. My input data using binary form. But, i'm still confuse, because i get some input data from expert. I have separate some data for training and the remaining data i have use to testing. I get accuracy 100% for training and testing. I think 100% for training is possible but 100% for testing it's something weird.Is it possible if the data I get from expert including linear separability?If the data is linear separability, is my neural network fail or my neural network works because the pattern too easy?Thanks..
Why my Neural Network Accuracy is 100%?
neural networks
If the data is linearly separable then yes, it's possible. Take one of these scatter plots which show the blue points and the red points and the line between them. (image stolen from here)If your neural network got the line right, it is possible it can have a 100% accuracy. Remember that a neuron's output (before it goes through an activation function) is a linear combination of its inputs so this is a pattern that a network consisting of a single neuron can learn. But the data you are using is clearly synthetic, it's rather unlikely for real life data to be perfectly linearly separable.