car.data

vhigh,vhigh,2,2,small,low,0
vhigh,vhigh,2,2,small,med,0
vhigh,vhigh,2,2,small,high,0
vhigh,vhigh,2,2,med,low,0
vhigh,vhigh,2,2,med,med,0
vhigh,vhigh,2,2,med,high,0
vhigh,vhigh,2,2,big,low,0
vhigh,vhigh,2,2,big,med,0
vhigh,vhigh,2,2,big,high,0
vhigh,vhigh,2,4,small,low,0
vhigh,vhigh,2,4,small,med,0
vhigh,vhigh,2,4,small,high,0
vhigh,vhigh,2,4,med,low,0
vhigh,vhigh,2,4,med,med,0
vhigh,vhigh,2,4,med,high,0
vhigh,vhigh,2,4,big,low,0
vhigh,vhigh,2,4,big,med,0
vhigh,vhigh,2,4,big,high,0
vhigh,vhigh,2,more,small,low,0
vhigh,vhigh,2,more,small,med,0
vhigh,vhigh,2,more,small,high,0
vhigh,vhigh,2,more,med,low,0
vhigh,vhigh,2,more,med,med,0
vhigh,vhigh,2,more,med,high,0
vhigh,vhigh,2,more,big,low,0
vhigh,vhigh,2,more,big,med,0
vhigh,vhigh,2,more,big,high,0
vhigh,vhigh,3,2,small,low,0
vhigh,vhigh,3,2,small,med,0
vhigh,vhigh,3,2,small,high,0
vhigh,vhigh,3,2,med,low,0
vhigh,vhigh,3,2,med,med,0
vhigh,vhigh,3,2,med,high,0
vhigh,vhigh,3,2,big,low,0
vhigh,vhigh,3,2,big,med,0
vhigh,vhigh,3,2,big,high,0
vhigh,vhigh,3,4,small,low,0
vhigh,vhigh,3,4,small,med,0
vhigh,vhigh,3,4,small,high,0
vhigh,vhigh,3,4,med,low,0
vhigh,vhigh,3,4,med,med,0
vhigh,vhigh,3,4,med,high,0
vhigh,vhigh,3,4,big,low,0
vhigh,vhigh,3,4,big,med,0
vhigh,vhigh,3,4,big,high,0
vhigh,vhigh,3,more,small,low,0
vhigh,vhigh,3,more,small,med,0
vhigh,vhigh,3,more,small,high,0
vhigh,vhigh,3,more,med,low,0
vhigh,vhigh,3,more,med,med,0
vhigh,vhigh,3,more,med,high,0
vhigh,vhigh,3,more,big,low,0
vhigh,vhigh,3,more,big,med,0
vhigh,vhigh,3,more,big,high,0
vhigh,vhigh,4,2,small,low,0
vhigh,vhigh,4,2,small,med,0
vhigh,vhigh,4,2,small,high,0
vhigh,vhigh,4,2,med,low,0
vhigh,vhigh,4,2,med,med,0
vhigh,vhigh,4,2,med,high,0
vhigh,vhigh,4,2,big,low,0
vhigh,vhigh,4,2,big,med,0
vhigh,vhigh,4,2,big,high,0
vhigh,vhigh,4,4,small,low,0
vhigh,vhigh,4,4,small,med,0
vhigh,vhigh,4,4,small,high,0
vhigh,vhigh,4,4,med,low,0
vhigh,vhigh,4,4,med,med,0
vhigh,vhigh,4,4,med,high,0
vhigh,vhigh,4,4,big,low,0
vhigh,vhigh,4,4,big,med,0
vhigh,vhigh,4,4,big,high,0
vhigh,vhigh,4,more,small,low,0
vhigh,vhigh,4,more,small,med,0
vhigh,vhigh,4,more,small,high,0
vhigh,vhigh,4,more,med,low,0
vhigh,vhigh,4,more,med,med,0
vhigh,vhigh,4,more,med,high,0
vhigh,vhigh,4,more,big,low,0
vhigh,vhigh,4,more,big,med,0
vhigh,vhigh,4,more,big,high,0
vhigh,vhigh,5more,2,small,low,0
vhigh,vhigh,5more,2,small,med,0
vhigh,vhigh,5more,2,small,high,0
vhigh,vhigh,5more,2,med,low,0
vhigh,vhigh,5more,2,med,med,0
vhigh,vhigh,5more,2,med,high,0
vhigh,vhigh,5more,2,big,low,0
vhigh,vhigh,5more,2,big,med,0
vhigh,vhigh,5more,2,big,high,0
vhigh,vhigh,5more,4,small,low,0
vhigh,vhigh,5more,4,small,med,0
vhigh,vhigh,5more,4,small,high,0
vhigh,vhigh,5more,4,med,low,0
vhigh,vhigh,5more,4,med,med,0
vhigh,vhigh,5more,4,med,high,0
vhigh,vhigh,5more,4,big,low,0
vhigh,vhigh,5more,4,big,med,0
vhigh,vhigh,5more,4,big,high,0
vhigh,vhigh,5more,more,small,low,0
vhigh,vhigh,5more,more,small,med,0
vhigh,vhigh,5more,more,small,high,0
vhigh,vhigh,5more,more,med,low,0
vhigh,vhigh,5more,more,med,med,0
vhigh,vhigh,5more,more,med,high,0
vhigh,vhigh,5more,more,big,low,0
vhigh,vhigh,5more,more,big,med,0
vhigh,vhigh,5more,more,big,high,0
vhigh,high,2,2,small,low,0
vhigh,high,2,2,small,med,0
vhigh,high,2,2,small,high,0
vhigh,high,2,2,med,low,0
vhigh,high,2,2,med,med,0
vhigh,high,2,2,med,high,0
vhigh,high,2,2,big,low,0
vhigh,high,2,2,big,med,0
vhigh,high,2,2,big,high,0
vhigh,high,2,4,small,low,0
vhigh,high,2,4,small,med,0
vhigh,high,2,4,small,high,0
vhigh,high,2,4,med,low,0
vhigh,high,2,4,med,med,0
vhigh,high,2,4,med,high,0
vhigh,high,2,4,big,low,0
vhigh,high,2,4,big,med,0
vhigh,high,2,4,big,high,0
vhigh,high,2,more,small,low,0
vhigh,high,2,more,small,med,0
vhigh,high,2,more,small,high,0
vhigh,high,2,more,med,low,0
vhigh,high,2,more,med,med,0
vhigh,high,2,more,med,high,0
vhigh,high,2,more,big,low,0
vhigh,high,2,more,big,med,0
vhigh,high,2,more,big,high,0
vhigh,high,3,2,small,low,0
vhigh,high,3,2,small,med,0
vhigh,high,3,2,small,high,0
vhigh,high,3,2,med,low,0
vhigh,high,3,2,med,med,0
vhigh,high,3,2,med,high,0
vhigh,high,3,2,big,low,0
vhigh,high,3,2,big,med,0
vhigh,high,3,2,big,high,0
vhigh,high,3,4,small,low,0
vhigh,high,3,4,small,med,0
vhigh,high,3,4,small,high,0
vhigh,high,3,4,med,low,0
vhigh,high,3,4,med,med,0
vhigh,high,3,4,med,high,0
vhigh,high,3,4,big,low,0
vhigh,high,3,4,big,med,0
vhigh,high,3,4,big,high,0
vhigh,high,3,more,small,low,0
vhigh,high,3,more,small,med,0
vhigh,high,3,more,small,high,0
vhigh,high,3,more,med,low,0
vhigh,high,3,more,med,med,0
vhigh,high,3,more,med,high,0
vhigh,high,3,more,big,low,0
vhigh,high,3,more,big,med,0
vhigh,high,3,more,big,high,0
vhigh,high,4,2,small,low,0
vhigh,high,4,2,small,med,0
vhigh,high,4,2,small,high,0
vhigh,high,4,2,med,low,0
vhigh,high,4,2,med,med,0
vhigh,high,4,2,med,high,0
vhigh,high,4,2,big,low,0
vhigh,high,4,2,big,med,0
vhigh,high,4,2,big,high,0
vhigh,high,4,4,small,low,0
vhigh,high,4,4,small,med,0
vhigh,high,4,4,small,high,0
vhigh,high,4,4,med,low,0
vhigh,high,4,4,med,med,0
vhigh,high,4,4,med,high,0
vhigh,high,4,4,big,low,0
vhigh,high,4,4,big,med,0
vhigh,high,4,4,big,high,0
vhigh,high,4,more,small,low,0
vhigh,high,4,more,small,med,0
vhigh,high,4,more,small,high,0
vhigh,high,4,more,med,low,0
vhigh,high,4,more,med,med,0
vhigh,high,4,more,med,high,0
vhigh,high,4,more,big,low,0
vhigh,high,4,more,big,med,0
vhigh,high,4,more,big,high,0
vhigh,high,5more,2,small,low,0
vhigh,high,5more,2,small,med,0
vhigh,high,5more,2,small,high,0
vhigh,high,5more,2,med,low,0
vhigh,high,5more,2,med,med,0
vhigh,high,5more,2,med,high,0
vhigh,high,5more,2,big,low,0
vhigh,high,5more,2,big,med,0
vhigh,high,5more,2,big,high,0
vhigh,high,5more,4,small,low,0
vhigh,high,5more,4,small,med,0
vhigh,high,5more,4,small,high,0
vhigh,high,5more,4,med,low,0
vhigh,high,5more,4,med,med,0
vhigh,high,5more,4,med,high,0
vhigh,high,5more,4,big,low,0
vhigh,high,5more,4,big,med,0
vhigh,high,5more,4,big,high,0
vhigh,high,5more,more,small,low,0
vhigh,high,5more,more,small,med,0
vhigh,high,5more,more,small,high,0
vhigh,high,5more,more,med,low,0
vhigh,high,5more,more,med,med,0
vhigh,high,5more,more,med,high,0
vhigh,high,5more,more,big,low,0
vhigh,high,5more,more,big,med,0
vhigh,high,5more,more,big,high,0
vhigh,med,2,2,small,low,0
vhigh,med,2,2,small,med,0
vhigh,med,2,2,small,high,0
vhigh,med,2,2,med,low,0
vhigh,med,2,2,med,med,0
vhigh,med,2,2,med,high,0
vhigh,med,2,2,big,low,0
vhigh,med,2,2,big,med,0
vhigh,med,2,2,big,high,0
vhigh,med,2,4,small,low,0
vhigh,med,2,4,small,med,0
vhigh,med,2,4,small,high,1
vhigh,med,2,4,med,low,0
vhigh,med,2,4,med,med,0
vhigh,med,2,4,med,high,1
vhigh,med,2,4,big,low,0
vhigh,med,2,4,big,med,1
vhigh,med,2,4,big,high,1
vhigh,med,2,more,small,low,0
vhigh,med,2,more,small,med,0
vhigh,med,2,more,small,high,0
vhigh,med,2,more,med,low,0
vhigh,med,2,more,med,med,0
vhigh,med,2,more,med,high,1
vhigh,med,2,more,big,low,0
vhigh,med,2,more,big,med,1
vhigh,med,2,more,big,high,1
vhigh,med,3,2,small,low,0
vhigh,med,3,2,small,med,0
vhigh,med,3,2,small,high,0
vhigh,med,3,2,med,low,0
vhigh,med,3,2,med,med,0
vhigh,med,3,2,med,high,0
vhigh,med,3,2,big,low,0
vhigh,med,3,2,big,med,0
vhigh,med,3,2,big,high,0
vhigh,med,3,4,small,low,0
vhigh,med,3,4,small,med,0
vhigh,med,3,4,small,high,1
vhigh,med,3,4,med,low,0
vhigh,med,3,4,med,med,0
vhigh,med,3,4,med,high,1
vhigh,med,3,4,big,low,0
vhigh,med,3,4,big,med,1
vhigh,med,3,4,big,high,1
vhigh,med,3,more,small,low,0
vhigh,med,3,more,small,med,0
vhigh,med,3,more,small,high,1
vhigh,med,3,more,med,low,0
vhigh,med,3,more,med,med,1
vhigh,med,3,more,med,high,1
vhigh,med,3,more,big,low,0
vhigh,med,3,more,big,med,1
vhigh,med,3,more,big,high,1
vhigh,med,4,2,small,low,0
vhigh,med,4,2,small,med,0
vhigh,med,4,2,small,high,0
vhigh,med,4,2,med,low,0
vhigh,med,4,2,med,med,0
vhigh,med,4,2,med,high,0
vhigh,med,4,2,big,low,0
vhigh,med,4,2,big,med,0
vhigh,med,4,2,big,high,0
vhigh,med,4,4,small,low,0
vhigh,med,4,4,small,med,0
vhigh,med,4,4,small,high,1
vhigh,med,4,4,med,low,0
vhigh,med,4,4,med,med,1
vhigh,med,4,4,med,high,1
vhigh,med,4,4,big,low,0
vhigh,med,4,4,big,med,1
vhigh,med,4,4,big,high,1
vhigh,med,4,more,small,low,0
vhigh,med,4,more,small,med,0
vhigh,med,4,more,small,high,1
vhigh,med,4,more,med,low,0
vhigh,med,4,more,med,med,1
vhigh,med,4,more,med,high,1
vhigh,med,4,more,big,low,0
vhigh,med,4,more,big,med,1
vhigh,med,4,more,big,high,1
vhigh,med,5more,2,small,low,0
vhigh,med,5more,2,small,med,0
vhigh,med,5more,2,small,high,0
vhigh,med,5more,2,med,low,0
vhigh,med,5more,2,med,med,0
vhigh,med,5more,2,med,high,0
vhigh,med,5more,2,big,low,0
vhigh,med,5more,2,big,med,0
vhigh,med,5more,2,big,high,0
vhigh,med,5more,4,small,low,0
vhigh,med,5more,4,small,med,0
vhigh,med,5more,4,small,high,1
vhigh,med,5more,4,med,low,0
vhigh,med,5more,4,med,med,1
vhigh,med,5more,4,med,high,1
vhigh,med,5more,4,big,low,0
vhigh,med,5more,4,big,med,1
vhigh,med,5more,4,big,high,1
vhigh,med,5more,more,small,low,0
vhigh,med,5more,more,small,med,0
vhigh,med,5more,more,small,high,1
vhigh,med,5more,more,med,low,0
vhigh,med,5more,more,med,med,1
vhigh,med,5more,more,med,high,1
vhigh,med,5more,more,big,low,0
vhigh,med,5more,more,big,med,1
vhigh,med,5more,more,big,high,1
vhigh,low,2,2,small,low,0
vhigh,low,2,2,small,med,0
vhigh,low,2,2,small,high,0
vhigh,low,2,2,med,low,0
vhigh,low,2,2,med,med,0
vhigh,low,2,2,med,high,0
vhigh,low,2,2,big,low,0
vhigh,low,2,2,big,med,0
vhigh,low,2,2,big,high,0
vhigh,low,2,4,small,low,0
vhigh,low,2,4,small,med,0
vhigh,low,2,4,small,high,1
vhigh,low,2,4,med,low,0
vhigh,low,2,4,med,med,0
vhigh,low,2,4,med,high,1
vhigh,low,2,4,big,low,0
vhigh,low,2,4,big,med,1
vhigh,low,2,4,big,high,1
vhigh,low,2,more,small,low,0
vhigh,low,2,more,small,med,0
vhigh,low,2,more,small,high,0
vhigh,low,2,more,med,low,0
vhigh,low,2,more,med,med,0
vhigh,low,2,more,med,high,1
vhigh,low,2,more,big,low,0
vhigh,low,2,more,big,med,1
vhigh,low,2,more,big,high,1
vhigh,low,3,2,small,low,0
vhigh,low,3,2,small,med,0
vhigh,low,3,2,small,high,0
vhigh,low,3,2,med,low,0
vhigh,low,3,2,med,med,0
vhigh,low,3,2,med,high,0
vhigh,low,3,2,big,low,0
vhigh,low,3,2,big,med,0
vhigh,low,3,2,big,high,0
vhigh,low,3,4,small,low,0
vhigh,low,3,4,small,med,0
vhigh,low,3,4,small,high,1
vhigh,low,3,4,med,low,0
vhigh,low,3,4,med,med,0
vhigh,low,3,4,med,high,1
vhigh,low,3,4,big,low,0
vhigh,low,3,4,big,med,1
vhigh,low,3,4,big,high,1
vhigh,low,3,more,small,low,0
vhigh,low,3,more,small,med,0
vhigh,low,3,more,small,high,1
vhigh,low,3,more,med,low,0
vhigh,low,3,more,med,med,1
vhigh,low,3,more,med,high,1
vhigh,low,3,more,big,low,0
vhigh,low,3,more,big,med,1
vhigh,low,3,more,big,high,1
vhigh,low,4,2,small,low,0
vhigh,low,4,2,small,med,0
vhigh,low,4,2,small,high,0
vhigh,low,4,2,med,low,0
vhigh,low,4,2,med,med,0
vhigh,low,4,2,med,high,0
vhigh,low,4,2,big,low,0
vhigh,low,4,2,big,med,0
vhigh,low,4,2,big,high,0
vhigh,low,4,4,small,low,0
vhigh,low,4,4,small,med,0
vhigh,low,4,4,small,high,1
vhigh,low,4,4,med,low,0
vhigh,low,4,4,med,med,1
vhigh,low,4,4,med,high,1
vhigh,low,4,4,big,low,0
vhigh,low,4,4,big,med,1
vhigh,low,4,4,big,high,1
vhigh,low,4,more,small,low,0
vhigh,low,4,more,small,med,0
vhigh,low,4,more,small,high,1
vhigh,low,4,more,med,low,0
vhigh,low,4,more,med,med,1
vhigh,low,4,more,med,high,1
vhigh,low,4,more,big,low,0
vhigh,low,4,more,big,med,1
vhigh,low,4,more,big,high,1
vhigh,low,5more,2,small,low,0
vhigh,low,5more,2,small,med,0
vhigh,low,5more,2,small,high,0
vhigh,low,5more,2,med,low,0
vhigh,low,5more,2,med,med,0
vhigh,low,5more,2,med,high,0
vhigh,low,5more,2,big,low,0
vhigh,low,5more,2,big,med,0
vhigh,low,5more,2,big,high,0
vhigh,low,5more,4,small,low,0
vhigh,low,5more,4,small,med,0
vhigh,low,5more,4,small,high,1
vhigh,low,5more,4,med,low,0
vhigh,low,5more,4,med,med,1
vhigh,low,5more,4,med,high,1
vhigh,low,5more,4,big,low,0
vhigh,low,5more,4,big,med,1
vhigh,low,5more,4,big,high,1
vhigh,low,5more,more,small,low,0
vhigh,low,5more,more,small,med,0
vhigh,low,5more,more,small,high,1
vhigh,low,5more,more,med,low,0
vhigh,low,5more,more,med,med,1
vhigh,low,5more,more,med,high,1
vhigh,low,5more,more,big,low,0
vhigh,low,5more,more,big,med,1
vhigh,low,5more,more,big,high,1
high,vhigh,2,2,small,low,0
high,vhigh,2,2,small,med,0
high,vhigh,2,2,small,high,0
high,vhigh,2,2,med,low,0
high,vhigh,2,2,med,med,0
high,vhigh,2,2,med,high,0
high,vhigh,2,2,big,low,0
high,vhigh,2,2,big,med,0
high,vhigh,2,2,big,high,0
high,vhigh,2,4,small,low,0
high,vhigh,2,4,small,med,0
high,vhigh,2,4,small,high,0
high,vhigh,2,4,med,low,0
high,vhigh,2,4,med,med,0
high,vhigh,2,4,med,high,0
high,vhigh,2,4,big,low,0
high,vhigh,2,4,big,med,0
high,vhigh,2,4,big,high,0
high,vhigh,2,more,small,low,0
high,vhigh,2,more,small,med,0
high,vhigh,2,more,small,high,0
high,vhigh,2,more,med,low,0
high,vhigh,2,more,med,med,0
high,vhigh,2,more,med,high,0
high,vhigh,2,more,big,low,0
high,vhigh,2,more,big,med,0
high,vhigh,2,more,big,high,0
high,vhigh,3,2,small,low,0
high,vhigh,3,2,small,med,0
high,vhigh,3,2,small,high,0
high,vhigh,3,2,med,low,0
high,vhigh,3,2,med,med,0
high,vhigh,3,2,med,high,0
high,vhigh,3,2,big,low,0
high,vhigh,3,2,big,med,0
high,vhigh,3,2,big,high,0
high,vhigh,3,4,small,low,0
high,vhigh,3,4,small,med,0
high,vhigh,3,4,small,high,0
high,vhigh,3,4,med,low,0
high,vhigh,3,4,med,med,0
high,vhigh,3,4,med,high,0
high,vhigh,3,4,big,low,0
high,vhigh,3,4,big,med,0
high,vhigh,3,4,big,high,0
high,vhigh,3,more,small,low,0
high,vhigh,3,more,small,med,0
high,vhigh,3,more,small,high,0
high,vhigh,3,more,med,low,0
high,vhigh,3,more,med,med,0
high,vhigh,3,more,med,high,0
high,vhigh,3,more,big,low,0
high,vhigh,3,more,big,med,0
high,vhigh,3,more,big,high,0
high,vhigh,4,2,small,low,0
high,vhigh,4,2,small,med,0
high,vhigh,4,2,small,high,0
high,vhigh,4,2,med,low,0
high,vhigh,4,2,med,med,0
high,vhigh,4,2,med,high,0
high,vhigh,4,2,big,low,0
high,vhigh,4,2,big,med,0
high,vhigh,4,2,big,high,0
high,vhigh,4,4,small,low,0
high,vhigh,4,4,small,med,0
high,vhigh,4,4,small,high,0
high,vhigh,4,4,med,low,0
high,vhigh,4,4,med,med,0
high,vhigh,4,4,med,high,0
high,vhigh,4,4,big,low,0
high,vhigh,4,4,big,med,0
high,vhigh,4,4,big,high,0
high,vhigh,4,more,small,low,0
high,vhigh,4,more,small,med,0
high,vhigh,4,more,small,high,0
high,vhigh,4,more,med,low,0
high,vhigh,4,more,med,med,0
high,vhigh,4,more,med,high,0
high,vhigh,4,more,big,low,0
high,vhigh,4,more,big,med,0
high,vhigh,4,more,big,high,0
high,vhigh,5more,2,small,low,0
high,vhigh,5more,2,small,med,0
high,vhigh,5more,2,small,high,0
high,vhigh,5more,2,med,low,0
high,vhigh,5more,2,med,med,0
high,vhigh,5more,2,med,high,0
high,vhigh,5more,2,big,low,0
high,vhigh,5more,2,big,med,0
high,vhigh,5more,2,big,high,0
high,vhigh,5more,4,small,low,0
high,vhigh,5more,4,small,med,0
high,vhigh,5more,4,small,high,0
high,vhigh,5more,4,med,low,0
high,vhigh,5more,4,med,med,0
high,vhigh,5more,4,med,high,0
high,vhigh,5more,4,big,low,0
high,vhigh,5more,4,big,med,0
high,vhigh,5more,4,big,high,0
high,vhigh,5more,more,small,low,0
high,vhigh,5more,more,small,med,0
high,vhigh,5more,more,small,high,0
high,vhigh,5more,more,med,low,0
high,vhigh,5more,more,med,med,0
high,vhigh,5more,more,med,high,0
high,vhigh,5more,more,big,low,0
high,vhigh,5more,more,big,med,0
high,vhigh,5more,more,big,high,0
high,high,2,2,small,low,0
high,high,2,2,small,med,0
high,high,2,2,small,high,0
high,high,2,2,med,low,0
high,high,2,2,med,med,0
high,high,2,2,med,high,0
high,high,2,2,big,low,0
high,high,2,2,big,med,0
high,high,2,2,big,high,0
high,high,2,4,small,low,0
high,high,2,4,small,med,0
high,high,2,4,small,high,1
high,high,2,4,med,low,0
high,high,2,4,med,med,0
high,high,2,4,med,high,1
high,high,2,4,big,low,0
high,high,2,4,big,med,1
high,high,2,4,big,high,1
high,high,2,more,small,low,0
high,high,2,more,small,med,0
high,high,2,more,small,high,0
high,high,2,more,med,low,0
high,high,2,more,med,med,0
high,high,2,more,med,high,1
high,high,2,more,big,low,0
high,high,2,more,big,med,1
high,high,2,more,big,high,1
high,high,3,2,small,low,0
high,high,3,2,small,med,0
high,high,3,2,small,high,0
high,high,3,2,med,low,0
high,high,3,2,med,med,0
high,high,3,2,med,high,0
high,high,3,2,big,low,0
high,high,3,2,big,med,0
high,high,3,2,big,high,0
high,high,3,4,small,low,0
high,high,3,4,small,med,0
high,high,3,4,small,high,1
high,high,3,4,med,low,0
high,high,3,4,med,med,0
high,high,3,4,med,high,1
high,high,3,4,big,low,0
high,high,3,4,big,med,1
high,high,3,4,big,high,1
high,high,3,more,small,low,0
high,high,3,more,small,med,0
high,high,3,more,small,high,1
high,high,3,more,med,low,0
high,high,3,more,med,med,1
high,high,3,more,med,high,1
high,high,3,more,big,low,0
high,high,3,more,big,med,1
high,high,3,more,big,high,1
high,high,4,2,small,low,0
high,high,4,2,small,med,0
high,high,4,2,small,high,0
high,high,4,2,med,low,0
high,high,4,2,med,med,0
high,high,4,2,med,high,0
high,high,4,2,big,low,0
high,high,4,2,big,med,0
high,high,4,2,big,high,0
high,high,4,4,small,low,0
high,high,4,4,small,med,0
high,high,4,4,small,high,1
high,high,4,4,med,low,0
high,high,4,4,med,med,1
high,high,4,4,med,high,1
high,high,4,4,big,low,0
high,high,4,4,big,med,1
high,high,4,4,big,high,1
high,high,4,more,small,low,0
high,high,4,more,small,med,0
high,high,4,more,small,high,1
high,high,4,more,med,low,0
high,high,4,more,med,med,1
high,high,4,more,med,high,1
high,high,4,more,big,low,0
high,high,4,more,big,med,1
high,high,4,more,big,high,1
high,high,5more,2,small,low,0
high,high,5more,2,small,med,0
high,high,5more,2,small,high,0
high,high,5more,2,med,low,0
high,high,5more,2,med,med,0
high,high,5more,2,med,high,0
high,high,5more,2,big,low,0
high,high,5more,2,big,med,0
high,high,5more,2,big,high,0
high,high,5more,4,small,low,0
high,high,5more,4,small,med,0
high,high,5more,4,small,high,1
high,high,5more,4,med,low,0
high,high,5more,4,med,med,1
high,high,5more,4,med,high,1
high,high,5more,4,big,low,0
high,high,5more,4,big,med,1
high,high,5more,4,big,high,1
high,high,5more,more,small,low,0
high,high,5more,more,small,med,0
high,high,5more,more,small,high,1
high,high,5more,more,med,low,0
high,high,5more,more,med,med,1
high,high,5more,more,med,high,1
high,high,5more,more,big,low,0
high,high,5more,more,big,med,1
high,high,5more,more,big,high,1
high,med,2,2,small,low,0
high,med,2,2,small,med,0
high,med,2,2,small,high,0
high,med,2,2,med,low,0
high,med,2,2,med,med,0
high,med,2,2,med,high,0
high,med,2,2,big,low,0
high,med,2,2,big,med,0
high,med,2,2,big,high,0
high,med,2,4,small,low,0
high,med,2,4,small,med,0
high,med,2,4,small,high,1
high,med,2,4,med,low,0
high,med,2,4,med,med,0
high,med,2,4,med,high,1
high,med,2,4,big,low,0
high,med,2,4,big,med,1
high,med,2,4,big,high,1
high,med,2,more,small,low,0
high,med,2,more,small,med,0
high,med,2,more,small,high,0
high,med,2,more,med,low,0
high,med,2,more,med,med,0
high,med,2,more,med,high,1
high,med,2,more,big,low,0
high,med,2,more,big,med,1
high,med,2,more,big,high,1
high,med,3,2,small,low,0
high,med,3,2,small,med,0
high,med,3,2,small,high,0
high,med,3,2,med,low,0
high,med,3,2,med,med,0
high,med,3,2,med,high,0
high,med,3,2,big,low,0
high,med,3,2,big,med,0
high,med,3,2,big,high,0
high,med,3,4,small,low,0
high,med,3,4,small,med,0
high,med,3,4,small,high,1
high,med,3,4,med,low,0
high,med,3,4,med,med,0
high,med,3,4,med,high,1
high,med,3,4,big,low,0
high,med,3,4,big,med,1
high,med,3,4,big,high,1
high,med,3,more,small,low,0
high,med,3,more,small,med,0
high,med,3,more,small,high,1
high,med,3,more,med,low,0
high,med,3,more,med,med,1
high,med,3,more,med,high,1
high,med,3,more,big,low,0
high,med,3,more,big,med,1
high,med,3,more,big,high,1
high,med,4,2,small,low,0
high,med,4,2,small,med,0
high,med,4,2,small,high,0
high,med,4,2,med,low,0
high,med,4,2,med,med,0
high,med,4,2,med,high,0
high,med,4,2,big,low,0
high,med,4,2,big,med,0
high,med,4,2,big,high,0
high,med,4,4,small,low,0
high,med,4,4,small,med,0
high,med,4,4,small,high,1
high,med,4,4,med,low,0
high,med,4,4,med,med,1
high,med,4,4,med,high,1
high,med,4,4,big,low,0
high,med,4,4,big,med,1
high,med,4,4,big,high,1
high,med,4,more,small,low,0
high,med,4,more,small,med,0
high,med,4,more,small,high,1
high,med,4,more,med,low,0
high,med,4,more,med,med,1
high,med,4,more,med,high,1
high,med,4,more,big,low,0
high,med,4,more,big,med,1
high,med,4,more,big,high,1
high,med,5more,2,small,low,0
high,med,5more,2,small,med,0
high,med,5more,2,small,high,0
high,med,5more,2,med,low,0
high,med,5more,2,med,med,0
high,med,5more,2,med,high,0
high,med,5more,2,big,low,0
high,med,5more,2,big,med,0
high,med,5more,2,big,high,0
high,med,5more,4,small,low,0
high,med,5more,4,small,med,0
high,med,5more,4,small,high,1
high,med,5more,4,med,low,0
high,med,5more,4,med,med,1
high,med,5more,4,med,high,1
high,med,5more,4,big,low,0
high,med,5more,4,big,med,1
high,med,5more,4,big,high,1
high,med,5more,more,small,low,0
high,med,5more,more,small,med,0
high,med,5more,more,small,high,1
high,med,5more,more,med,low,0
high,med,5more,more,med,med,1
high,med,5more,more,med,high,1
high,med,5more,more,big,low,0
high,med,5more,more,big,med,1
high,med,5more,more,big,high,1
high,low,2,2,small,low,0
high,low,2,2,small,med,0
high,low,2,2,small,high,0
high,low,2,2,med,low,0
high,low,2,2,med,med,0
high,low,2,2,med,high,0
high,low,2,2,big,low,0
high,low,2,2,big,med,0
high,low,2,2,big,high,0
high,low,2,4,small,low,0
high,low,2,4,small,med,0
high,low,2,4,small,high,1
high,low,2,4,med,low,0
high,low,2,4,med,med,0
high,low,2,4,med,high,1
high,low,2,4,big,low,0
high,low,2,4,big,med,1
high,low,2,4,big,high,1
high,low,2,more,small,low,0
high,low,2,more,small,med,0
high,low,2,more,small,high,0
high,low,2,more,med,low,0
high,low,2,more,med,med,0
high,low,2,more,med,high,1
high,low,2,more,big,low,0
high,low,2,more,big,med,1
high,low,2,more,big,high,1
high,low,3,2,small,low,0
high,low,3,2,small,med,0
high,low,3,2,small,high,0
high,low,3,2,med,low,0
high,low,3,2,med,med,0
high,low,3,2,med,high,0
high,low,3,2,big,low,0
high,low,3,2,big,med,0
high,low,3,2,big,high,0
high,low,3,4,small,low,0
high,low,3,4,small,med,0
high,low,3,4,small,high,1
high,low,3,4,med,low,0
high,low,3,4,med,med,0
high,low,3,4,med,high,1
high,low,3,4,big,low,0
high,low,3,4,big,med,1
high,low,3,4,big,high,1
high,low,3,more,small,low,0
high,low,3,more,small,med,0
high,low,3,more,small,high,1
high,low,3,more,med,low,0
high,low,3,more,med,med,1
high,low,3,more,med,high,1
high,low,3,more,big,low,0
high,low,3,more,big,med,1
high,low,3,more,big,high,1
high,low,4,2,small,low,0
high,low,4,2,small,med,0
high,low,4,2,small,high,0
high,low,4,2,med,low,0
high,low,4,2,med,med,0
high,low,4,2,med,high,0
high,low,4,2,big,low,0
high,low,4,2,big,med,0
high,low,4,2,big,high,0
high,low,4,4,small,low,0
high,low,4,4,small,med,0
high,low,4,4,small,high,1
high,low,4,4,med,low,0
high,low,4,4,med,med,1
high,low,4,4,med,high,1
high,low,4,4,big,low,0
high,low,4,4,big,med,1
high,low,4,4,big,high,1
high,low,4,more,small,low,0
high,low,4,more,small,med,0
high,low,4,more,small,high,1
high,low,4,more,med,low,0
high,low,4,more,med,med,1
high,low,4,more,med,high,1
high,low,4,more,big,low,0
high,low,4,more,big,med,1
high,low,4,more,big,high,1
high,low,5more,2,small,low,0
high,low,5more,2,small,med,0
high,low,5more,2,small,high,0
high,low,5more,2,med,low,0
high,low,5more,2,med,med,0
high,low,5more,2,med,high,0
high,low,5more,2,big,low,0
high,low,5more,2,big,med,0
high,low,5more,2,big,high,0
high,low,5more,4,small,low,0
high,low,5more,4,small,med,0
high,low,5more,4,small,high,1
high,low,5more,4,med,low,0
high,low,5more,4,med,med,1
high,low,5more,4,med,high,1
high,low,5more,4,big,low,0
high,low,5more,4,big,med,1
high,low,5more,4,big,high,1
high,low,5more,more,small,low,0
high,low,5more,more,small,med,0
high,low,5more,more,small,high,1
high,low,5more,more,med,low,0
high,low,5more,more,med,med,1
high,low,5more,more,med,high,1
high,low,5more,more,big,low,0
high,low,5more,more,big,med,1
high,low,5more,more,big,high,1
med,vhigh,2,2,small,low,0
med,vhigh,2,2,small,med,0
med,vhigh,2,2,small,high,0
med,vhigh,2,2,med,low,0
med,vhigh,2,2,med,med,0
med,vhigh,2,2,med,high,0
med,vhigh,2,2,big,low,0
med,vhigh,2,2,big,med,0
med,vhigh,2,2,big,high,0
med,vhigh,2,4,small,low,0
med,vhigh,2,4,small,med,0
med,vhigh,2,4,small,high,1
med,vhigh,2,4,med,low,0
med,vhigh,2,4,med,med,0
med,vhigh,2,4,med,high,1
med,vhigh,2,4,big,low,0
med,vhigh,2,4,big,med,1
med,vhigh,2,4,big,high,1
med,vhigh,2,more,small,low,0
med,vhigh,2,more,small,med,0
med,vhigh,2,more,small,high,0
med,vhigh,2,more,med,low,0
med,vhigh,2,more,med,med,0
med,vhigh,2,more,med,high,1
med,vhigh,2,more,big,low,0
med,vhigh,2,more,big,med,1
med,vhigh,2,more,big,high,1
med,vhigh,3,2,small,low,0
med,vhigh,3,2,small,med,0
med,vhigh,3,2,small,high,0
med,vhigh,3,2,med,low,0
med,vhigh,3,2,med,med,0
med,vhigh,3,2,med,high,0
med,vhigh,3,2,big,low,0
med,vhigh,3,2,big,med,0
med,vhigh,3,2,big,high,0
med,vhigh,3,4,small,low,0
med,vhigh,3,4,small,med,0
med,vhigh,3,4,small,high,1
med,vhigh,3,4,med,low,0
med,vhigh,3,4,med,med,0
med,vhigh,3,4,med,high,1
med,vhigh,3,4,big,low,0
med,vhigh,3,4,big,med,1
med,vhigh,3,4,big,high,1
med,vhigh,3,more,small,low,0
med,vhigh,3,more,small,med,0
med,vhigh,3,more,small,high,1
med,vhigh,3,more,med,low,0
med,vhigh,3,more,med,med,1
med,vhigh,3,more,med,high,1
med,vhigh,3,more,big,low,0
med,vhigh,3,more,big,med,1
med,vhigh,3,more,big,high,1
med,vhigh,4,2,small,low,0
med,vhigh,4,2,small,med,0
med,vhigh,4,2,small,high,0
med,vhigh,4,2,med,low,0
med,vhigh,4,2,med,med,0
med,vhigh,4,2,med,high,0
med,vhigh,4,2,big,low,0
med,vhigh,4,2,big,med,0
med,vhigh,4,2,big,high,0
med,vhigh,4,4,small,low,0
med,vhigh,4,4,small,med,0
med,vhigh,4,4,small,high,1
med,vhigh,4,4,med,low,0
med,vhigh,4,4,med,med,1
med,vhigh,4,4,med,high,1
med,vhigh,4,4,big,low,0
med,vhigh,4,4,big,med,1
med,vhigh,4,4,big,high,1
med,vhigh,4,more,small,low,0
med,vhigh,4,more,small,med,0
med,vhigh,4,more,small,high,1
med,vhigh,4,more,med,low,0
med,vhigh,4,more,med,med,1
med,vhigh,4,more,med,high,1
med,vhigh,4,more,big,low,0
med,vhigh,4,more,big,med,1
med,vhigh,4,more,big,high,1
med,vhigh,5more,2,small,low,0
med,vhigh,5more,2,small,med,0
med,vhigh,5more,2,small,high,0
med,vhigh,5more,2,med,low,0
med,vhigh,5more,2,med,med,0
med,vhigh,5more,2,med,high,0
med,vhigh,5more,2,big,low,0
med,vhigh,5more,2,big,med,0
med,vhigh,5more,2,big,high,0
med,vhigh,5more,4,small,low,0
med,vhigh,5more,4,small,med,0
med,vhigh,5more,4,small,high,1
med,vhigh,5more,4,med,low,0
med,vhigh,5more,4,med,med,1
med,vhigh,5more,4,med,high,1
med,vhigh,5more,4,big,low,0
med,vhigh,5more,4,big,med,1
med,vhigh,5more,4,big,high,1
med,vhigh,5more,more,small,low,0
med,vhigh,5more,more,small,med,0
med,vhigh,5more,more,small,high,1
med,vhigh,5more,more,med,low,0
med,vhigh,5more,more,med,med,1
med,vhigh,5more,more,med,high,1
med,vhigh,5more,more,big,low,0
med,vhigh,5more,more,big,med,1
med,vhigh,5more,more,big,high,1
med,high,2,2,small,low,0
med,high,2,2,small,med,0
med,high,2,2,small,high,0
med,high,2,2,med,low,0
med,high,2,2,med,med,0
med,high,2,2,med,high,0
med,high,2,2,big,low,0
med,high,2,2,big,med,0
med,high,2,2,big,high,0
med,high,2,4,small,low,0
med,high,2,4,small,med,0
med,high,2,4,small,high,1
med,high,2,4,med,low,0
med,high,2,4,med,med,0
med,high,2,4,med,high,1
med,high,2,4,big,low,0
med,high,2,4,big,med,1
med,high,2,4,big,high,1
med,high,2,more,small,low,0
med,high,2,more,small,med,0
med,high,2,more,small,high,0
med,high,2,more,med,low,0
med,high,2,more,med,med,0
med,high,2,more,med,high,1
med,high,2,more,big,low,0
med,high,2,more,big,med,1
med,high,2,more,big,high,1
med,high,3,2,small,low,0
med,high,3,2,small,med,0
med,high,3,2,small,high,0
med,high,3,2,med,low,0
med,high,3,2,med,med,0
med,high,3,2,med,high,0
med,high,3,2,big,low,0
med,high,3,2,big,med,0
med,high,3,2,big,high,0
med,high,3,4,small,low,0
med,high,3,4,small,med,0
med,high,3,4,small,high,1
med,high,3,4,med,low,0
med,high,3,4,med,med,0
med,high,3,4,med,high,1
med,high,3,4,big,low,0
med,high,3,4,big,med,1
med,high,3,4,big,high,1
med,high,3,more,small,low,0
med,high,3,more,small,med,0
med,high,3,more,small,high,1
med,high,3,more,med,low,0
med,high,3,more,med,med,1
med,high,3,more,med,high,1
med,high,3,more,big,low,0
med,high,3,more,big,med,1
med,high,3,more,big,high,1
med,high,4,2,small,low,0
med,high,4,2,small,med,0
med,high,4,2,small,high,0
med,high,4,2,med,low,0
med,high,4,2,med,med,0
med,high,4,2,med,high,0
med,high,4,2,big,low,0
med,high,4,2,big,med,0
med,high,4,2,big,high,0
med,high,4,4,small,low,0
med,high,4,4,small,med,0
med,high,4,4,small,high,1
med,high,4,4,med,low,0
med,high,4,4,med,med,1
med,high,4,4,med,high,1
med,high,4,4,big,low,0
med,high,4,4,big,med,1
med,high,4,4,big,high,1
med,high,4,more,small,low,0
med,high,4,more,small,med,0
med,high,4,more,small,high,1
med,high,4,more,med,low,0
med,high,4,more,med,med,1
med,high,4,more,med,high,1
med,high,4,more,big,low,0
med,high,4,more,big,med,1
med,high,4,more,big,high,1
med,high,5more,2,small,low,0
med,high,5more,2,small,med,0
med,high,5more,2,small,high,0
med,high,5more,2,med,low,0
med,high,5more,2,med,med,0
med,high,5more,2,med,high,0
med,high,5more,2,big,low,0
med,high,5more,2,big,med,0
med,high,5more,2,big,high,0
med,high,5more,4,small,low,0
med,high,5more,4,small,med,0
med,high,5more,4,small,high,1
med,high,5more,4,med,low,0
med,high,5more,4,med,med,1
med,high,5more,4,med,high,1
med,high,5more,4,big,low,0
med,high,5more,4,big,med,1
med,high,5more,4,big,high,1
med,high,5more,more,small,low,0
med,high,5more,more,small,med,0
med,high,5more,more,small,high,1
med,high,5more,more,med,low,0
med,high,5more,more,med,med,1
med,high,5more,more,med,high,1
med,high,5more,more,big,low,0
med,high,5more,more,big,med,1
med,high,5more,more,big,high,1
med,med,2,2,small,low,0
med,med,2,2,small,med,0
med,med,2,2,small,high,0
med,med,2,2,med,low,0
med,med,2,2,med,med,0
med,med,2,2,med,high,0
med,med,2,2,big,low,0
med,med,2,2,big,med,0
med,med,2,2,big,high,0
med,med,2,4,small,low,0
med,med,2,4,small,med,1
med,med,2,4,small,high,1
med,med,2,4,med,low,0
med,med,2,4,med,med,1
med,med,2,4,med,high,1
med,med,2,4,big,low,0
med,med,2,4,big,med,1
med,med,2,4,big,high,1
med,med,2,more,small,low,0
med,med,2,more,small,med,0
med,med,2,more,small,high,0
med,med,2,more,med,low,0
med,med,2,more,med,med,1
med,med,2,more,med,high,1
med,med,2,more,big,low,0
med,med,2,more,big,med,1
med,med,2,more,big,high,1
med,med,3,2,small,low,0
med,med,3,2,small,med,0
med,med,3,2,small,high,0
med,med,3,2,med,low,0
med,med,3,2,med,med,0
med,med,3,2,med,high,0
med,med,3,2,big,low,0
med,med,3,2,big,med,0
med,med,3,2,big,high,0
med,med,3,4,small,low,0
med,med,3,4,small,med,1
med,med,3,4,small,high,1
med,med,3,4,med,low,0
med,med,3,4,med,med,1
med,med,3,4,med,high,1
med,med,3,4,big,low,0
med,med,3,4,big,med,1
med,med,3,4,big,high,1
med,med,3,more,small,low,0
med,med,3,more,small,med,1
med,med,3,more,small,high,1
med,med,3,more,med,low,0
med,med,3,more,med,med,1
med,med,3,more,med,high,1
med,med,3,more,big,low,0
med,med,3,more,big,med,1
med,med,3,more,big,high,1
med,med,4,2,small,low,0
med,med,4,2,small,med,0
med,med,4,2,small,high,0
med,med,4,2,med,low,0
med,med,4,2,med,med,0
med,med,4,2,med,high,0
med,med,4,2,big,low,0
med,med,4,2,big,med,0
med,med,4,2,big,high,0
med,med,4,4,small,low,0
med,med,4,4,small,med,1
med,med,4,4,small,high,1
med,med,4,4,med,low,0
med,med,4,4,med,med,1
med,med,4,4,med,high,1
med,med,4,4,big,low,0
med,med,4,4,big,med,1
med,med,4,4,big,high,1
med,med,4,more,small,low,0
med,med,4,more,small,med,1
med,med,4,more,small,high,1
med,med,4,more,med,low,0
med,med,4,more,med,med,1
med,med,4,more,med,high,1
med,med,4,more,big,low,0
med,med,4,more,big,med,1
med,med,4,more,big,high,1
med,med,5more,2,small,low,0
med,med,5more,2,small,med,0
med,med,5more,2,small,high,0
med,med,5more,2,med,low,0
med,med,5more,2,med,med,0
med,med,5more,2,med,high,0
med,med,5more,2,big,low,0
med,med,5more,2,big,med,0
med,med,5more,2,big,high,0
med,med,5more,4,small,low,0
med,med,5more,4,small,med,1
med,med,5more,4,small,high,1
med,med,5more,4,med,low,0
med,med,5more,4,med,med,1
med,med,5more,4,med,high,1
med,med,5more,4,big,low,0
med,med,5more,4,big,med,1
med,med,5more,4,big,high,1
med,med,5more,more,small,low,0
med,med,5more,more,small,med,1
med,med,5more,more,small,high,1
med,med,5more,more,med,low,0
med,med,5more,more,med,med,1
med,med,5more,more,med,high,1
med,med,5more,more,big,low,0
med,med,5more,more,big,med,1
med,med,5more,more,big,high,1
med,low,2,2,small,low,0
med,low,2,2,small,med,0
med,low,2,2,small,high,0
med,low,2,2,med,low,0
med,low,2,2,med,med,0
med,low,2,2,med,high,0
med,low,2,2,big,low,0
med,low,2,2,big,med,0
med,low,2,2,big,high,0
med,low,2,4,small,low,0
med,low,2,4,small,med,1
med,low,2,4,small,high,1
med,low,2,4,med,low,0
med,low,2,4,med,med,1
med,low,2,4,med,high,1
med,low,2,4,big,low,0
med,low,2,4,big,med,1
med,low,2,4,big,high,1
med,low,2,more,small,low,0
med,low,2,more,small,med,0
med,low,2,more,small,high,0
med,low,2,more,med,low,0
med,low,2,more,med,med,1
med,low,2,more,med,high,1
med,low,2,more,big,low,0
med,low,2,more,big,med,1
med,low,2,more,big,high,1
med,low,3,2,small,low,0
med,low,3,2,small,med,0
med,low,3,2,small,high,0
med,low,3,2,med,low,0
med,low,3,2,med,med,0
med,low,3,2,med,high,0
med,low,3,2,big,low,0
med,low,3,2,big,med,0
med,low,3,2,big,high,0
med,low,3,4,small,low,0
med,low,3,4,small,med,1
med,low,3,4,small,high,1
med,low,3,4,med,low,0
med,low,3,4,med,med,1
med,low,3,4,med,high,1
med,low,3,4,big,low,0
med,low,3,4,big,med,1
med,low,3,4,big,high,1
med,low,3,more,small,low,0
med,low,3,more,small,med,1
med,low,3,more,small,high,1
med,low,3,more,med,low,0
med,low,3,more,med,med,1
med,low,3,more,med,high,1
med,low,3,more,big,low,0
med,low,3,more,big,med,1
med,low,3,more,big,high,1
med,low,4,2,small,low,0
med,low,4,2,small,med,0
med,low,4,2,small,high,0
med,low,4,2,med,low,0
med,low,4,2,med,med,0
med,low,4,2,med,high,0
med,low,4,2,big,low,0
med,low,4,2,big,med,0
med,low,4,2,big,high,0
med,low,4,4,small,low,0
med,low,4,4,small,med,1
med,low,4,4,small,high,1
med,low,4,4,med,low,0
med,low,4,4,med,med,1
med,low,4,4,med,high,1
med,low,4,4,big,low,0
med,low,4,4,big,med,1
med,low,4,4,big,high,1
med,low,4,more,small,low,0
med,low,4,more,small,med,1
med,low,4,more,small,high,1
med,low,4,more,med,low,0
med,low,4,more,med,med,1
med,low,4,more,med,high,1
med,low,4,more,big,low,0
med,low,4,more,big,med,1
med,low,4,more,big,high,1
med,low,5more,2,small,low,0
med,low,5more,2,small,med,0
med,low,5more,2,small,high,0
med,low,5more,2,med,low,0
med,low,5more,2,med,med,0
med,low,5more,2,med,high,0
med,low,5more,2,big,low,0
med,low,5more,2,big,med,0
med,low,5more,2,big,high,0
med,low,5more,4,small,low,0
med,low,5more,4,small,med,1
med,low,5more,4,small,high,1
med,low,5more,4,med,low,0
med,low,5more,4,med,med,1
med,low,5more,4,med,high,1
med,low,5more,4,big,low,0
med,low,5more,4,big,med,1
med,low,5more,4,big,high,1
med,low,5more,more,small,low,0
med,low,5more,more,small,med,1
med,low,5more,more,small,high,1
med,low,5more,more,med,low,0
med,low,5more,more,med,med,1
med,low,5more,more,med,high,1
med,low,5more,more,big,low,0
med,low,5more,more,big,med,1
med,low,5more,more,big,high,1
low,vhigh,2,2,small,low,0
low,vhigh,2,2,small,med,0
low,vhigh,2,2,small,high,0
low,vhigh,2,2,med,low,0
low,vhigh,2,2,med,med,0
low,vhigh,2,2,med,high,0
low,vhigh,2,2,big,low,0
low,vhigh,2,2,big,med,0
low,vhigh,2,2,big,high,0
low,vhigh,2,4,small,low,0
low,vhigh,2,4,small,med,0
low,vhigh,2,4,small,high,1
low,vhigh,2,4,med,low,0
low,vhigh,2,4,med,med,0
low,vhigh,2,4,med,high,1
low,vhigh,2,4,big,low,0
low,vhigh,2,4,big,med,1
low,vhigh,2,4,big,high,1
low,vhigh,2,more,small,low,0
low,vhigh,2,more,small,med,0
low,vhigh,2,more,small,high,0
low,vhigh,2,more,med,low,0
low,vhigh,2,more,med,med,0
low,vhigh,2,more,med,high,1
low,vhigh,2,more,big,low,0
low,vhigh,2,more,big,med,1
low,vhigh,2,more,big,high,1
low,vhigh,3,2,small,low,0
low,vhigh,3,2,small,med,0
low,vhigh,3,2,small,high,0
low,vhigh,3,2,med,low,0
low,vhigh,3,2,med,med,0
low,vhigh,3,2,med,high,0
low,vhigh,3,2,big,low,0
low,vhigh,3,2,big,med,0
low,vhigh,3,2,big,high,0
low,vhigh,3,4,small,low,0
low,vhigh,3,4,small,med,0
low,vhigh,3,4,small,high,1
low,vhigh,3,4,med,low,0
low,vhigh,3,4,med,med,0
low,vhigh,3,4,med,high,1
low,vhigh,3,4,big,low,0
low,vhigh,3,4,big,med,1
low,vhigh,3,4,big,high,1
low,vhigh,3,more,small,low,0
low,vhigh,3,more,small,med,0
low,vhigh,3,more,small,high,1
low,vhigh,3,more,med,low,0
low,vhigh,3,more,med,med,1
low,vhigh,3,more,med,high,1
low,vhigh,3,more,big,low,0
low,vhigh,3,more,big,med,1
low,vhigh,3,more,big,high,1
low,vhigh,4,2,small,low,0
low,vhigh,4,2,small,med,0
low,vhigh,4,2,small,high,0
low,vhigh,4,2,med,low,0
low,vhigh,4,2,med,med,0
low,vhigh,4,2,med,high,0
low,vhigh,4,2,big,low,0
low,vhigh,4,2,big,med,0
low,vhigh,4,2,big,high,0
low,vhigh,4,4,small,low,0
low,vhigh,4,4,small,med,0
low,vhigh,4,4,small,high,1
low,vhigh,4,4,med,low,0
low,vhigh,4,4,med,med,1
low,vhigh,4,4,med,high,1
low,vhigh,4,4,big,low,0
low,vhigh,4,4,big,med,1
low,vhigh,4,4,big,high,1
low,vhigh,4,more,small,low,0
low,vhigh,4,more,small,med,0
low,vhigh,4,more,small,high,1
low,vhigh,4,more,med,low,0
low,vhigh,4,more,med,med,1
low,vhigh,4,more,med,high,1
low,vhigh,4,more,big,low,0
low,vhigh,4,more,big,med,1
low,vhigh,4,more,big,high,1
low,vhigh,5more,2,small,low,0
low,vhigh,5more,2,small,med,0
low,vhigh,5more,2,small,high,0
low,vhigh,5more,2,med,low,0
low,vhigh,5more,2,med,med,0
low,vhigh,5more,2,med,high,0
low,vhigh,5more,2,big,low,0
low,vhigh,5more,2,big,med,0
low,vhigh,5more,2,big,high,0
low,vhigh,5more,4,small,low,0
low,vhigh,5more,4,small,med,0
low,vhigh,5more,4,small,high,1
low,vhigh,5more,4,med,low,0
low,vhigh,5more,4,med,med,1
low,vhigh,5more,4,med,high,1
low,vhigh,5more,4,big,low,0
low,vhigh,5more,4,big,med,1
low,vhigh,5more,4,big,high,1
low,vhigh,5more,more,small,low,0
low,vhigh,5more,more,small,med,0
low,vhigh,5more,more,small,high,1
low,vhigh,5more,more,med,low,0
low,vhigh,5more,more,med,med,1
low,vhigh,5more,more,med,high,1
low,vhigh,5more,more,big,low,0
low,vhigh,5more,more,big,med,1
low,vhigh,5more,more,big,high,1
low,high,2,2,small,low,0
low,high,2,2,small,med,0
low,high,2,2,small,high,0
low,high,2,2,med,low,0
low,high,2,2,med,med,0
low,high,2,2,med,high,0
low,high,2,2,big,low,0
low,high,2,2,big,med,0
low,high,2,2,big,high,0
low,high,2,4,small,low,0
low,high,2,4,small,med,1
low,high,2,4,small,high,1
low,high,2,4,med,low,0
low,high,2,4,med,med,1
low,high,2,4,med,high,1
low,high,2,4,big,low,0
low,high,2,4,big,med,1
low,high,2,4,big,high,1
low,high,2,more,small,low,0
low,high,2,more,small,med,0
low,high,2,more,small,high,0
low,high,2,more,med,low,0
low,high,2,more,med,med,1
low,high,2,more,med,high,1
low,high,2,more,big,low,0
low,high,2,more,big,med,1
low,high,2,more,big,high,1
low,high,3,2,small,low,0
low,high,3,2,small,med,0
low,high,3,2,small,high,0
low,high,3,2,med,low,0
low,high,3,2,med,med,0
low,high,3,2,med,high,0
low,high,3,2,big,low,0
low,high,3,2,big,med,0
low,high,3,2,big,high,0
low,high,3,4,small,low,0
low,high,3,4,small,med,1
low,high,3,4,small,high,1
low,high,3,4,med,low,0
low,high,3,4,med,med,1
low,high,3,4,med,high,1
low,high,3,4,big,low,0
low,high,3,4,big,med,1
low,high,3,4,big,high,1
low,high,3,more,small,low,0
low,high,3,more,small,med,1
low,high,3,more,small,high,1
low,high,3,more,med,low,0
low,high,3,more,med,med,1
low,high,3,more,med,high,1
low,high,3,more,big,low,0
low,high,3,more,big,med,1
low,high,3,more,big,high,1
low,high,4,2,small,low,0
low,high,4,2,small,med,0
low,high,4,2,small,high,0
low,high,4,2,med,low,0
low,high,4,2,med,med,0
low,high,4,2,med,high,0
low,high,4,2,big,low,0
low,high,4,2,big,med,0
low,high,4,2,big,high,0
low,high,4,4,small,low,0
low,high,4,4,small,med,1
low,high,4,4,small,high,1
low,high,4,4,med,low,0
low,high,4,4,med,med,1
low,high,4,4,med,high,1
low,high,4,4,big,low,0
low,high,4,4,big,med,1
low,high,4,4,big,high,1
low,high,4,more,small,low,0
low,high,4,more,small,med,1
low,high,4,more,small,high,1
low,high,4,more,med,low,0
low,high,4,more,med,med,1
low,high,4,more,med,high,1
low,high,4,more,big,low,0
low,high,4,more,big,med,1
low,high,4,more,big,high,1
low,high,5more,2,small,low,0
low,high,5more,2,small,med,0
low,high,5more,2,small,high,0
low,high,5more,2,med,low,0
low,high,5more,2,med,med,0
low,high,5more,2,med,high,0
low,high,5more,2,big,low,0
low,high,5more,2,big,med,0
low,high,5more,2,big,high,0
low,high,5more,4,small,low,0
low,high,5more,4,small,med,1
low,high,5more,4,small,high,1
low,high,5more,4,med,low,0
low,high,5more,4,med,med,1
low,high,5more,4,med,high,1
low,high,5more,4,big,low,0
low,high,5more,4,big,med,1
low,high,5more,4,big,high,1
low,high,5more,more,small,low,0
low,high,5more,more,small,med,1
low,high,5more,more,small,high,1
low,high,5more,more,med,low,0
low,high,5more,more,med,med,1
low,high,5more,more,med,high,1
low,high,5more,more,big,low,0
low,high,5more,more,big,med,1
low,high,5more,more,big,high,1
low,med,2,2,small,low,0
low,med,2,2,small,med,0
low,med,2,2,small,high,0
low,med,2,2,med,low,0
low,med,2,2,med,med,0
low,med,2,2,med,high,0
low,med,2,2,big,low,0
low,med,2,2,big,med,0
low,med,2,2,big,high,0
low,med,2,4,small,low,0
low,med,2,4,small,med,1
low,med,2,4,small,high,1
low,med,2,4,med,low,0
low,med,2,4,med,med,1
low,med,2,4,med,high,1
low,med,2,4,big,low,0
low,med,2,4,big,med,1
low,med,2,4,big,high,1
low,med,2,more,small,low,0
low,med,2,more,small,med,0
low,med,2,more,small,high,0
low,med,2,more,med,low,0
low,med,2,more,med,med,1
low,med,2,more,med,high,1
low,med,2,more,big,low,0
low,med,2,more,big,med,1
low,med,2,more,big,high,1
low,med,3,2,small,low,0
low,med,3,2,small,med,0
low,med,3,2,small,high,0
low,med,3,2,med,low,0
low,med,3,2,med,med,0
low,med,3,2,med,high,0
low,med,3,2,big,low,0
low,med,3,2,big,med,0
low,med,3,2,big,high,0
low,med,3,4,small,low,0
low,med,3,4,small,med,1
low,med,3,4,small,high,1
low,med,3,4,med,low,0
low,med,3,4,med,med,1
low,med,3,4,med,high,1
low,med,3,4,big,low,0
low,med,3,4,big,med,1
low,med,3,4,big,high,1
low,med,3,more,small,low,0
low,med,3,more,small,med,1
low,med,3,more,small,high,1
low,med,3,more,med,low,0
low,med,3,more,med,med,1
low,med,3,more,med,high,1
low,med,3,more,big,low,0
low,med,3,more,big,med,1
low,med,3,more,big,high,1
low,med,4,2,small,low,0
low,med,4,2,small,med,0
low,med,4,2,small,high,0
low,med,4,2,med,low,0
low,med,4,2,med,med,0
low,med,4,2,med,high,0
low,med,4,2,big,low,0
low,med,4,2,big,med,0
low,med,4,2,big,high,0
low,med,4,4,small,low,0
low,med,4,4,small,med,1
low,med,4,4,small,high,1
low,med,4,4,med,low,0
low,med,4,4,med,med,1
low,med,4,4,med,high,1
low,med,4,4,big,low,0
low,med,4,4,big,med,1
low,med,4,4,big,high,1
low,med,4,more,small,low,0
low,med,4,more,small,med,1
low,med,4,more,small,high,1
low,med,4,more,med,low,0
low,med,4,more,med,med,1
low,med,4,more,med,high,1
low,med,4,more,big,low,0
low,med,4,more,big,med,1
low,med,4,more,big,high,1
low,med,5more,2,small,low,0
low,med,5more,2,small,med,0
low,med,5more,2,small,high,0
low,med,5more,2,med,low,0
low,med,5more,2,med,med,0
low,med,5more,2,med,high,0
low,med,5more,2,big,low,0
low,med,5more,2,big,med,0
low,med,5more,2,big,high,0
low,med,5more,4,small,low,0
low,med,5more,4,small,med,1
low,med,5more,4,small,high,1
low,med,5more,4,med,low,0
low,med,5more,4,med,med,1
low,med,5more,4,med,high,1
low,med,5more,4,big,low,0
low,med,5more,4,big,med,1
low,med,5more,4,big,high,1
low,med,5more,more,small,low,0
low,med,5more,more,small,med,1
low,med,5more,more,small,high,1
low,med,5more,more,med,low,0
low,med,5more,more,med,med,1
low,med,5more,more,med,high,1
low,med,5more,more,big,low,0
low,med,5more,more,big,med,1
low,med,5more,more,big,high,1
low,low,2,2,small,low,0
low,low,2,2,small,med,0
low,low,2,2,small,high,0
low,low,2,2,med,low,0
low,low,2,2,med,med,0
low,low,2,2,med,high,0
low,low,2,2,big,low,0
low,low,2,2,big,med,0
low,low,2,2,big,high,0
low,low,2,4,small,low,0
low,low,2,4,small,med,1
low,low,2,4,small,high,1
low,low,2,4,med,low,0
low,low,2,4,med,med,1
low,low,2,4,med,high,1
low,low,2,4,big,low,0
low,low,2,4,big,med,1
low,low,2,4,big,high,1
low,low,2,more,small,low,0
low,low,2,more,small,med,0
low,low,2,more,small,high,0
low,low,2,more,med,low,0
low,low,2,more,med,med,1
low,low,2,more,med,high,1
low,low,2,more,big,low,0
low,low,2,more,big,med,1
low,low,2,more,big,high,1
low,low,3,2,small,low,0
low,low,3,2,small,med,0
low,low,3,2,small,high,0
low,low,3,2,med,low,0
low,low,3,2,med,med,0
low,low,3,2,med,high,0
low,low,3,2,big,low,0
low,low,3,2,big,med,0
low,low,3,2,big,high,0
low,low,3,4,small,low,0
low,low,3,4,small,med,1
low,low,3,4,small,high,1
low,low,3,4,med,low,0
low,low,3,4,med,med,1
low,low,3,4,med,high,1
low,low,3,4,big,low,0
low,low,3,4,big,med,1
low,low,3,4,big,high,1
low,low,3,more,small,low,0
low,low,3,more,small,med,1
low,low,3,more,small,high,1
low,low,3,more,med,low,0
low,low,3,more,med,med,1
low,low,3,more,med,high,1
low,low,3,more,big,low,0
low,low,3,more,big,med,1
low,low,3,more,big,high,1
low,low,4,2,small,low,0
low,low,4,2,small,med,0
low,low,4,2,small,high,0
low,low,4,2,med,low,0
low,low,4,2,med,med,0
low,low,4,2,med,high,0
low,low,4,2,big,low,0
low,low,4,2,big,med,0
low,low,4,2,big,high,0
low,low,4,4,small,low,0
low,low,4,4,small,med,1
low,low,4,4,small,high,1
low,low,4,4,med,low,0
low,low,4,4,med,med,1
low,low,4,4,med,high,1
low,low,4,4,big,low,0
low,low,4,4,big,med,1
low,low,4,4,big,high,1
low,low,4,more,small,low,0
low,low,4,more,small,med,1
low,low,4,more,small,high,1
low,low,4,more,med,low,0
low,low,4,more,med,med,1
low,low,4,more,med,high,1
low,low,4,more,big,low,0
low,low,4,more,big,med,1
low,low,4,more,big,high,1
low,low,5more,2,small,low,0
low,low,5more,2,small,med,0
low,low,5more,2,small,high,0
low,low,5more,2,med,low,0
low,low,5more,2,med,med,0
low,low,5more,2,med,high,0
low,low,5more,2,big,low,0
low,low,5more,2,big,med,0
low,low,5more,2,big,high,0
low,low,5more,4,small,low,0
low,low,5more,4,small,med,1
low,low,5more,4,small,high,1
low,low,5more,4,med,low,0
low,low,5more,4,med,med,1
low,low,5more,4,med,high,1
low,low,5more,4,big,low,0
low,low,5more,4,big,med,1
low,low,5more,4,big,high,1
low,low,5more,more,small,low,0
low,low,5more,more,small,med,1
low,low,5more,more,small,high,1
low,low,5more,more,med,low,0
low,low,5more,more,med,med,1
low,low,5more,more,med,high,1
low,low,5more,more,big,low,0
low,low,5more,more,big,med,1
low,low,5more,more,big,high,1

classification_cars.py

# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Example code for TensorFlow Wide & Deep Tutorial using tf.estimator API."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import shutil
import sys

import tensorflow as tf

_CSV_COLUMNS = [
    'buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'clazz'
]

_CSV_COLUMN_DEFAULTS = [[''], [''], [''], [''], [''], [''], ['']]

parser = argparse.ArgumentParser()

parser.add_argument(
    '--model_dir', type=str, default='car_eval_data/car_model',
    help='Base directory for the model.')

parser.add_argument(
    '--model_type', type=str, default='wide',
    help="Valid model types: {'wide', 'deep', 'wide_deep'}.")

parser.add_argument(
    '--train_epochs', type=int, default=40, help='Number of training epochs.')

parser.add_argument(
    '--epochs_per_eval', type=int, default=2,
    help='The number of training epochs to run between evaluations.')

parser.add_argument(
    '--batch_size', type=int, default=40, help='Number of examples per batch.')

parser.add_argument(
    '--train_data', type=str, default='car_eval_data/car.data',
    help='Path to the training data.')

parser.add_argument(
    '--test_data', type=str, default='car_eval_data/test.data',
    help='Path to the test data.')

_NUM_EXAMPLES = {
    'train': 1200,
    'validation': 528,
}


def build_model_columns():
    """Builds a set of wide and deep feature columns."""
    # Continuous columns

    buying = tf.feature_column.categorical_column_with_vocabulary_list(
        'buying', ['vhigh', 'high', 'med', 'low'])

    maint = tf.feature_column.categorical_column_with_vocabulary_list(
        'maint', ['vhigh', 'high', 'med', 'low'])

    doors = tf.feature_column.categorical_column_with_vocabulary_list(
        'doors', ['2', '3', '4', '5more'])

    persons = tf.feature_column.categorical_column_with_vocabulary_list(
        'persons', ['2', '4', 'more'])

    lug_boot = tf.feature_column.categorical_column_with_vocabulary_list(
        'lug_boot', ['small', 'med', 'big'])

    safety = tf.feature_column.categorical_column_with_vocabulary_list(
        'safety', ['low', 'med', 'high'])

    # To show an example of hashing:
    # safety = tf.feature_column.categorical_column_with_hash_bucket(
    #     'safety', hash_bucket_size=1000)


    # Wide columns and deep columns.
    base_columns = [
        buying, maint, doors, persons, lug_boot,
        safety,
    ]

    wide_columns = base_columns

    deep_columns = [

    ]

    return wide_columns, deep_columns


def build_estimator(model_dir, model_type):
    """Build an estimator appropriate for the given model type."""
    wide_columns, deep_columns = build_model_columns()
    hidden_units = [100, 75, 50, 25]

    # Create a tf.estimator.RunConfig to ensure the model is run on CPU, which
    # trains faster than GPU for this model.
    run_config = tf.estimator.RunConfig().replace(
        session_config=tf.ConfigProto(device_count={'GPU': 0}))

    if model_type == 'wide':
        return tf.estimator.LinearClassifier(
            model_dir=model_dir,
            feature_columns=wide_columns,
            config=run_config)
    elif model_type == 'deep':
        return tf.estimator.DNNClassifier(
            model_dir=model_dir,
            feature_columns=deep_columns,
            hidden_units=hidden_units,
            config=run_config)
    else:
        return tf.estimator.DNNLinearCombinedClassifier(
            model_dir=model_dir,
            linear_feature_columns=wide_columns,
            dnn_feature_columns=deep_columns,
            dnn_hidden_units=hidden_units,
            config=run_config)


def input_fn(data_file, num_epochs, shuffle, batch_size):
    """Generate an input function for the Estimator."""
    assert tf.gfile.Exists(data_file), (
        '%s not found. Please make sure you have either run data_download.py or '
        'set both arguments --train_data and --test_data.' % data_file)

    def parse_csv(value):
        print('Parsing', data_file)
        columns = tf.decode_csv(value, record_defaults=_CSV_COLUMN_DEFAULTS)
        features = dict(zip(_CSV_COLUMNS, columns))
        labels = features.pop('clazz')
        return features, tf.equal(labels, '1')

    # Extract lines from input files using the Dataset API.
    dataset = tf.data.TextLineDataset(data_file)

    if shuffle:
        dataset = dataset.shuffle(buffer_size=_NUM_EXAMPLES['train'])

    dataset = dataset.map(parse_csv, num_parallel_calls=5)

    # We call repeat after shuffling, rather than before, to prevent separate
    # epochs from blending together.
    dataset = dataset.repeat(num_epochs)
    dataset = dataset.batch(batch_size)

    iterator = dataset.make_one_shot_iterator()
    features, labels = iterator.get_next()
    return features, labels


def predict_fn(data_file, num_epochs, shuffle, batch_size):
    """Generate an input function for the Estimator."""
    assert tf.gfile.Exists(data_file), (
        '%s not found. Please make sure you have either run data_download.py or '
        'set both arguments --train_data and --test_data.' % data_file)

    def parse_csv(value):
        print('Parsing', data_file)
        columns = tf.decode_csv(value, record_defaults=_CSV_COLUMN_DEFAULTS)
        features = dict(zip(_CSV_COLUMNS, columns))
        labels = features.pop('clazz')
        return features

    # Extract lines from input files using the Dataset API.
    dataset = tf.data.TextLineDataset(data_file)

    if shuffle:
        dataset = dataset.shuffle(buffer_size=_NUM_EXAMPLES['train'])

    dataset = dataset.map(parse_csv, num_parallel_calls=5)

    # We call repeat after shuffling, rather than before, to prevent separate
    # epochs from blending together.
    dataset = dataset.repeat(num_epochs)
    dataset = dataset.batch(batch_size)

    iterator = dataset.make_one_shot_iterator()
    features = iterator.get_next()
    return features


def main(unused_argv):
    # Clean up the model directory if present
    shutil.rmtree(FLAGS.model_dir, ignore_errors=True)
    model = build_estimator(FLAGS.model_dir, FLAGS.model_type)

    # Train and evaluate the model every `FLAGS.epochs_per_eval` epochs.
    # for n in range(FLAGS.train_epochs // FLAGS.epochs_per_eval):
    model.train(input_fn=lambda: input_fn(
        FLAGS.train_data, FLAGS.epochs_per_eval, True, FLAGS.batch_size))

        # results = model.evaluate(input_fn=lambda: input_fn(
        #     FLAGS.test_data, 1, False, FLAGS.batch_size))

    predictions = model.predict(input_fn=lambda: predict_fn(
        FLAGS.test_data, 1, False, FLAGS.batch_size))

    for pred_dict, expec in zip(predictions, [1,0,1,0,1,1]):
        template = '\nPrediction is "{}" ({:.1f}%), expected "{}"'

        class_id = pred_dict['class_ids'][0]
        probability = pred_dict['probabilities'][class_id]
        print(template.format(class_id, 100 * probability, expec))


if __name__ == '__main__':
    tf.logging.set_verbosity(tf.logging.INFO)
    FLAGS, unparsed = parser.parse_known_args()
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)

test.data

vhigh,low,5more,more,small,high,1
high,vhigh,2,2,small,low,0
high,vhigh,2,more,small,med,0
high,vhigh,2,more,small,high,0
vhigh,low,5more,4,med,med,1
vhigh,low,5more,4,med,high,1