if len(sys.argv) == 5:
print("\n\t\t\t\t>>>>>>>>>> TEST <<<<<<<<<<\n")
parametersTest, Xtest, ytest = createData(sys.argv[4], True)
ypredict = predictLabels(Xtest, tree)
success = 0
if ytest != []:
for i in range(len(ytest)):
if ytest[i] == ypredict[i]:
success += 1
success = float(success * 100) / len(ytest)
print("\nSuccess: " + "%.2f" % success + " %")
print(ytest)
print(ypredict)
evaluation = Eval(ytest, ypredict, labels)
evaluation.computeErrors()
print("TP: " + evaluation.tp)
print("FP: " + evaluation.fp)
print("TN: " + evaluation.tn)
print("FN: " + evaluation.fn)
evaluation.confusionMatrix()
evaluation.ROC_curve()
evaluation.precision_recall_curve()
evaluation.fmeasure(1)
evaluation.DET_curve()
