evaluation.py

from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score 
from sklearn.metrics import average_precision_score
from sklearn.metrics import recall_score

def evaluation_scores(y_val, predicted):
    
    print ("Accracy={}".format(accuracy_score(y_val, predicted)))
    print ("F1_macro={}".format(f1_score(y_val, predicted, average='macro')))
    print ("F1_micro={}".format(f1_score(y_val, predicted, average='micro')))
    print ("F1_wted={}".format(f1_score(y_val, predicted, average='weighted')))
    
print('Tfidf')
evaluation_scores(y_val, y_val_predicted_labels_tfidf)