scikit-learnclassificationmetricssklearn-pandas
classification accuracy with sklearn in percentage
I tried to calculate the accuracy score with sklearn.
a = accuracy_score(df['colA'], df2['colA'])
I works very well but i would like to have the score in percentage(%)
What kind of modification i can do please?
Solution
Accuracy score is the portion of samples that were correctly classified, out of the total number of samples, so it ranges from 0 to 1.
This can be converted to a percentage by just multiplying it by 100:
a = accuracy_score(df['colA'], df2['colA'])
print("Current accuracy is {}%".format(a*100))
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