Machine Learning Models with Classification Reports
When to use What?
from sklearn.metrics import classification_report
y_true = [0, 1, 2, 2, 2]
y_pred = [0, 0, 2, 2, 1]
target_names = [‘class 0’, ‘class 1’, ‘class 2’]
print(classification_report(y_true, y_pred, target_names=target_names))
As can be seen, the Classification Report summarizes everything….
About Dr. Alvin Ang
Dr. Alvin Ang earned his Ph.D., Masters and Bachelor degrees from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background He is a scientist, entrepreneur, as well as a personal/business advisor.
- This blog post was originally published at: https://blog.devgenius.io
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