def dt_multiple_datasets(test_cases, args):
print "DECISION TREE"
print args
for num_test in test_cases:
if num_test == 1:
decision_tree_ca(load.breast_cancer(), args)
decision_tree_ca(load.car(), args)
elif num_test == 2:
decision_tree_ca(load.segmentation(), args)
decision_tree_ca(load.iris(), args)
decision_tree_ca(load.wine(), args)
elif num_test == 3:
decision_tree_ca(load.bank(), args)
decision_tree_ca(load.lymphography(), args)
def clasifier_comparison(test_cases, args):
print "Comparison of DECISION TREE, RANDOM FOREST"
print args
for num_test in test_cases:
if num_test == 1:
compare(load.breast_cancer(), args)
compare(load.car(), args)
elif num_test == 2:
compare(load.segmentation(), args)
compare(load.iris(), args)
compare(load.wine(), args)
if num_test == 3:
compare(load.bank(), args)
compare(load.lymphography(), args)