def getPerformance(classifier, domain, testFiles, means, vars):
correct = 0
weightedDiff = 0
total = 0
for testFile in testFiles:
f = open(testFile, "r")
lines = f.readlines()
f.close()
context = ConvertData.readContext(lines)
blockList = ConvertData.getBlockList(lines, context)
decisions = []
for _ in range(len(blockList)):
shotClass = classification(classifier,context,blockList,domain,decisions,means, vars,shot=True)
correctClass = orange.Value(blockList[-1][-1].shot,domain.class_var)
#shotClass, correctClass = classify(classifier, testFile, domain, decisions, means, vars)
decisions.append(shotClass)
if correctClass == shotClass:
correct += 1
weightedDiff += getDifference(shotClass, correctClass)
total += 1
return float(correct)/ total, float(weightedDiff) / total
