neural network poorly predicts the result for data not included in the training sample

neural mesh based on this https://github.com/encog/encog-javascript

if you learn so

XOR_INPUT = [ [0,0,0],[0,0,1],[0,1,0],[0,1,1],[1,0,0],[1,0,1],[1,1,0]]; //(x*x+x)[1,1,1], XOR_IDEAL = [ [0], [1], [0], [1] , [0] , [1], [1] ];//[1], 

then on question 1 1 1 answer 1

and if you learn so

 XOR_INPUT = [ [0,0,0],[0,0,1],[0,1,0],[0,1,1],[1,0,0],[1,0,1],[1,1,1]]; //(x*x+x)[1,1,0], XOR_IDEAL = [ [0], [1], [0], [1] , [0] , [1], [1] ];//[1], 

on question 1 1 0 answer for some reason 0