canvas.Print('{}_my_ROC_curves.pdf['.format(prefix))
cols = (ROOT.kAzure, ROOT.kRed, ROOT.kBlack)
legend = ROOT.TLegend(0.12, 0.15, 0.8, 0.6)
legend.SetHeader('MVA classifiers')
legend.SetBorderSize(0)
legend.SetFillStyle(0)
ROOT.gStyle.SetOptStat(False)
from utils import th1integral, distance
for i, roc in enumerate(rocs):
coln = 0
for cl, hist in roc.iteritems():
# metrics
print '=> {}:: integral: {}, distance: {}'.format(
cl, th1integral(hist), distance(hist, (1, 1)))
hist.SetLineStyle(i + 1)
hist.SetLineColor(cols[coln])
hist.GetXaxis().SetRangeUser(axis_range, 1.05)
hist.GetYaxis().SetRangeUser(axis_range, 1.05)
try:
info = sessions[fnames[i]]
except KeyError:
info = fnames[i]
text = '{} ({})'.format(classifiers[cl], info)
legend.AddEntry(hist, text, 'l')
if i == 0 and coln == 0:
hist.SetTitle('MVA classifier ROC curves')
hist.Draw('e')
else:
hist.Draw('e same')
def test_th1integral(self):
from utils import th1integral
self.assertEqual(th1integral(self.hist1), 1000)
cols = (ROOT.kAzure, ROOT.kRed, ROOT.kBlack)
legend = ROOT.TLegend(0.12, 0.15, 0.8, 0.6)
legend.SetHeader('MVA classifiers')
legend.SetBorderSize(0)
legend.SetFillStyle(0)
ROOT.gStyle.SetOptStat(False)
from utils import th1integral, distance
for i, roc in enumerate(rocs):
coln = 0
for cl, hist in roc.iteritems():
# metrics
print '=> {}:: integral: {}, distance: {}'.format(
cl,
th1integral(hist),
distance(hist, (1, 1))
)
hist.SetLineStyle(i+1)
hist.SetLineColor(cols[coln])
hist.GetXaxis().SetRangeUser(axis_range, 1.05)
hist.GetYaxis().SetRangeUser(axis_range, 1.05)
try:
info = sessions[fnames[i]]
except KeyError:
info = fnames[i]
text = '{} ({})'.format(classifiers[cl], info)
legend.AddEntry(hist, text, 'l')
if i == 0 and coln == 0:
hist.SetTitle('MVA classifier ROC curves')
hist.Draw('e')