Metrics
Learn which metrics to use for a machine learning use case and model. MAPE,RMSE,MAE,MDAPE,precision, recall, and many more metrics explained simply
Which are the best clustering metrics? (explained simply) Paid Members Public
Clustering is a common unsupervised learning approach, but it can be difficult to know which the best evaluation metrics are to measure performance. In this post, I explain why we need to consider different metrics, and which is best to choose.
How to calculate MAPE with zero values (simply explained) Paid Members Public
MAPE (Mean Absolute Percentage Error) is a common regression machine learning metric, but when the actual values are close to 0 it becomes undefined. In this post, I explain why this happens and what to do when it does.
What is a good MAE score? (simply explained) Paid Members Public
MAE (Mean Absolute Error) is a popular metric to use for regression machine learning models, but what is a good score? In this post, I explain what MAE is, what a good value is, and answer some common questions.
How to interpret MAE (simply explained) Paid Members Public
MAE is a common regression machine learning metric, but it can be confusing to know how to interpret the values. In this post, I explain what MAE is, how to interpret the values and walk through an example.
How to interpret MSE (simply explained) Paid Members Public
MSE is a common regression machine learning metric, but it can be confusing to know how to interpret the values. In this post, I explain what MSE is, how to interpret the values and walk through an example.
How to interpret RMSE (simply explained) Paid Members Public
RMSE is a common regression machine learning metric, but it can be confusing to know how to interpret the values. In this post, I explain what RMSE is, how to interpret the values and walk through an example.
How to interpret R Squared (simply explained) Paid Members Public
R Squared is a common regression machine learning metric, but it can be confusing to know how to interpret the values. In this post, I explain what R Squared is, how to interpret the values and walk through an example.
How to interpret AUC score (simply explained) Paid Members Public
AUC score is a common classification machine learning metric, but it can be confusing to know how to interpret the values. In this post, I explain what AUC is, how to interpret the values and walk through an example.
