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    pred_np =['a','b','a','a','a','b','a','a','a','b','a','a']
    gt_np =  ['a','b','a','b','b','a','a','a','b','a','a','a']
    cls=np.asarray(['b','a'])
    evals = Evaluations(pred_np,gt_np,cls)
    print(evals)
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                |Aveg|    |b|     |a|     
precision:      0.5833  0.3333  0.6667 
recall:         0.5833  0.2500  0.7500 
accuracy:       0.5833  0.5833  0.5833 
f1_score:       0.5833  0.2857  0.7059