1.3.7.1.py

#Import Libraries
from sklearn.metrics import recall_score
#----------------------------------------------------


#Calculating Recall Score : (Sensitivity) (TP / float(TP + FN))   1 / 1+2  
# recall_score(y_true, y_pred, labels=None, pos_label=1, average=’binary’, sample_weight=None)

RecallScore = recall_score(y_test, y_pred, average='micro') #it can be : binary,macro,weighted,samples
#print('Recall Score is : ', RecallScore)