Is there a tree that correctly classifies the training examples, but represents a different function than those found by the preceding algorithms? If so, give it. If not, explain why.
There are 4 missing cases for which there are no examples. Thus there are 24=16 different Boolean functions that classify the examples correctly, of which we have found two! There are 14 other such trees.
Here is one such tree:
if(author = known,
if(length = long, skips, reads),
if(where_read = work,
if(thread = follow_up, skips, reads),
skips))).
which predicts an example with author=unknown, thread=new,
length=short, where_read=home will have classification skips,
where the other trees classifies this as reads.