scores = []
csv_files = ['11-12.csv','12-13.csv','13-14.csv','14-15.csv','15-16.csv']
for test_sea in csv_files:
test_data = []
test_target = []
data = []
target = []
loocv = set(csv_files) - set([test_sea])
sea = Season(test_sea)
for date,home,away,res,bet in sea.matches:
home_standing, home_remain = sea.standing(home,date)
away_standing, away_remain = sea.standing(away,date)
#data.append( [ home_standing, home_remain, c2i[sea.lastGame(home,date)], away_standing, away_remain, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
test_data.append( [ home_standing, c2i[sea.lastGame(home,date)], away_standing, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
feature_names = ['Home standing','Home last game', 'Away standing','Away last game','Point difference']
test_target.append(c2i[res])
for csv in loocv:
sea = Season(csv)
for date,home,away,res, bet in sea.matches:
home_standing, home_remain = sea.standing(home,date)
away_standing, away_remain = sea.standing(away,date)
#data.append( [ home_standing, home_remain, c2i[sea.lastGame(home,date)], away_standing, away_remain, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
data.append( [ home_standing, c2i[sea.lastGame(home,date)], away_standing, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
feature_names = ['Home standing','Home last game', 'Away standing','Away last game','Point difference']
target.append(c2i[res])
clf = tree.DecisionTreeClassifier(max_depth=3)
clf = clf.fit(data,target)
print 'Testing on ',test_sea
scores.append(clf.score(test_data,test_target))
scores = []
csv_files = ['11-12.csv', '12-13.csv', '13-14.csv', '14-15.csv', '15-16.csv']
for test_sea in csv_files:
test_data = []
test_target = []
data = []
target = []
loocv = set(csv_files) - set([test_sea])
sea = Season(test_sea)
for date, home, away, res, bet in sea.matches:
home_standing, home_remain = sea.standing(home, date)
away_standing, away_remain = sea.standing(away, date)
#data.append( [ home_standing, home_remain, c2i[sea.lastGame(home,date)], away_standing, away_remain, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
test_data.append([
home_standing, c2i[sea.lastGame(home, date)], away_standing,
c2i[sea.lastGame(away, date)],
sea.points_on_date(home, date) - sea.points_on_date(away, date)
])
feature_names = [
'Home standing', 'Home last game', 'Away standing',
'Away last game', 'Point difference'
]
test_target.append(c2i[res])
for csv in loocv:
sea = Season(csv)
for date, home, away, res, bet in sea.matches:
home_standing, home_remain = sea.standing(home, date)
away_standing, away_remain = sea.standing(away, date)
#data.append( [ home_standing, home_remain, c2i[sea.lastGame(home,date)], away_standing, away_remain, c2i[sea.lastGame(away,date)], sea.points_on_date(home,date)-sea.points_on_date(away,date) ] )
data.append([