Single target result of J48 different to Weka

[vutle]

Hi I'm testing a single target using BCC with J48.
The result seems to be different compared to Weka.
E.g. Accuracy is 0.525 in Meka while 0.5 in Weka for cross validation.

Is the method implement different between the two? Shouldn't I get the same answer if it is a single target?

Thanks
Meka
N(test) 40
L 1
Hamming score 0.525
Exact match 0.525
Hamming loss 0.475
ZeroOne loss 0.475
Levenshtein distance 0.475
Label indices [ 0 ]
Accuracy (per label) [ 0.525 ]

---

Weka
Correctly Classified Instances 20 50 %
Incorrectly Classified Instances 20 50 %
Kappa statistic 0.2599
Mean absolute error 0.2036
Root mean squared error 0.4321
Relative absolute error 73.8882 %
Root relative squared error 117.4604 %
Coverage of cases (0.95 level) 55 %
Mean rel. region size (0.95 level) 31 %
Total Number of Instances 40

[jmread]

Meka has different default parameters. For example, by default the dataset is randomized in Meka prior to cross validation, therefore the train/test sets may vary. Maybe that is the issue.