may you clarify about support #15
Description
may you clarify about support
for example
header1 = ["A", "B", "C" , "Y"]
rows1 = [
[1, 1, 0, 0],
[1, 1, 0, 0],
[1, 1, 0, 1],
[0, 1, 0, 1],
[0, 0, 1, 0],
[0, 0, 1, 1],
[0, 0, 1, 1]
]
transactions = TransactionDB(rows1, header1)
cba = CBA()
cba.fit(transactions)
probs1 = cba.clf.predict_probability_all(transactions)
probs2 = cba.predict_probability(transactions)
cba.clf.rules
cba.clf.default_class
cba.clf.default_class_attribute
cba.clf.default_class_support
cba.clf.default_class_confidence
cba.predict_matched_rules(transactions)
q=0
then
cba.clf.rules
[CAR {A=0,B=1} => {Y=1} sup: 0.14 conf: 1.00 len: 3, id: 15, CAR {A=0} => {Y=1} sup: 0.43 conf: 0.75 len: 2, id: 19]
4/7
0.5714285714285714
1/7
0.14285714285714285
len(rows1)
7
cba.clf.default_class_support
0.42857142857142855
cba.clf.default_class
'0'
3/7
0.42857142857142855
so instead of
sup: 0.43
would be expected
4/7
0.5714285714285714
the same story
header1 = ["A", "B", "Y"]
rows1 = [
[1, 1, 0],
[1, 1, 0],
[1, 1, 1],
[0, 0, 0],
[0, 0, 1],
[0, 0, 1]
]
transactions = TransactionDB(rows1, header1)
cba = CBA()
cba.fit(transactions)
cba.clf.rules
cba.clf.default_class
cba.clf.default_class_attribute
cba.clf.default_class_support
cba.clf.default_class_confidence
cba.predict_matched_rules(transactions)
q=0
cba.clf.rules
[CAR {A=0} => {Y=1} sup: 0.33 conf: 0.67 len: 2, id: 1]
cba.clf.default_class_support
0.5
is it should be cba.clf.default_class_support equal sup: 0.33
where
sup: 0.33 is for rule {A=0} => {Y=1}