# 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.