> data $ mallet train-classifier --input languageTraining_DE_EN.mallet --training-portion 0.9
Training portion = 0.9
Unlabeled training sub-portion = 0.0
Validation portion = 0.0
Testing portion = 0.09999999999999998

-------------------- Trial 0  --------------------

Trial 0 Training NaiveBayesTrainer with 34 instances
Trial 0 Training NaiveBayesTrainer finished
Trial 0 Trainer NaiveBayesTrainer training data accuracy = 1.0
Trial 0 Trainer NaiveBayesTrainer Test Data Confusion Matrix
Confusion Matrix, row=true, column=predicted  accuracy=0.75 most-frequent-tag baseline=0.5
 label   0   1  |total
  0 de   1   1  |2
  1 en   .   2  |2

Trial 0 Trainer NaiveBayesTrainer test data precision(de) = 1.0
Trial 0 Trainer NaiveBayesTrainer test data precision(en) = 0.6666666666666666
Trial 0 Trainer NaiveBayesTrainer test data recall(de) = 0.5
Trial 0 Trainer NaiveBayesTrainer test data recall(en) = 1.0
Trial 0 Trainer NaiveBayesTrainer test data F1(de) = 0.6666666666666666
Trial 0 Trainer NaiveBayesTrainer test data F1(en) = 0.8
Trial 0 Trainer NaiveBayesTrainer test data accuracy = 0.75

NaiveBayesTrainer
Summary. train accuracy mean = 1.0 stddev = 0.0 stderr = 0.0
Summary. test accuracy mean = 0.75 stddev = 0.0 stderr = 0.0
Summary. test precision(de) mean = 1.0 stddev = 0.0 stderr = 0.0
Summary. test precision(en) mean = 0.6666666666666666 stddev = 0.0 stderr = 0.0
Summary. test recall(de) mean = 0.5 stddev = 0.0 stderr = 0.0
Summary. test recall(en) mean = 1.0 stddev = 0.0 stderr = 0.0
Summary. test f1(de) mean = 0.6666666666666666 stddev = 0.0 stderr = 0.0
Summary. test f1(en) mean = 0.8 stddev = 0.0 stderr = 0.0