Performance Metrics for Machine Learning Models

Performance Metrics for  Machine Learning Models

There are various metrics that we can use to evaluate the performance of ML algorithms, classification as well as regression algorithms. We must carefully choose the metrics for evaluating ML performance because,

There are various metrics that we can use to evaluate the performance of ML algorithms, classification as well as regression algorithms. We must carefully choose the metrics for evaluating ML performance because,

  • How the performance of ML algorithms is measured and compared will be dependent entirely on the metric we choose.
  • How we weight the importance of various characteristics in the result will be influenced completely by the metric we choose.

The metrics that you choose to evaluate your machine learning model are very important. Choice of metrics influences how the performance of machine learning algorithms is measured and compared.

Contents

1.Performance Metrics for Classification Problems

2.Performance Metrics for Regression Problems

3.Distribution of Errors

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