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Machine learning metrics

Helpful and easy-to-understand guides for machine learning metrics.

Loss and cost functions

L1 loss function
L2 loss function
L1 vs L2 loss functions
Loss function vs cost function, what’s the difference?

Cross validation

Using cross_val_score in sklearn
Using cross_validate in sklearn
Difference between cross_val_score and cross_validate


Compare metrics and decide which is best
Which metrics should you use for your models? These articles help answer that question
Stephen AllwrightStephen Allwright
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Understanding metric values
These articles will help you answer the eternal question, is this metric good or not?
Stephen AllwrightStephen Allwright
Easy to use metric calculators
Easy-to-use metric calculators for your quick calculation needs.
Stephen AllwrightStephen Allwright

Check out our handy topic pages

Interpret metric values

Use Snowflake in Python

Feature engineering with Pandas

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