def build_sample_ace_problem_breiman85(N=<NUM_LIT:200>):
x_cubed = numpy.random.standard_normal(N)<EOL>x = scipy.special.cbrt(x_cubed)<EOL>noise = numpy.random.standard_normal(N)<EOL>y = numpy.exp((x ** <NUM_LIT>) + noise)<EOL>return [x], y<EOL>
Sample problem from Breiman 1985.