Confusion Matrix Maker (simple to use)

The confusion matrix is a set of four values which show the performance of classification machine learning models per class. These four values are True Positive, False Positive, True Negative, and False Negative.

This calculator creates the four confusion matrix values from a list of predictions and their corresponding actual values.

confusion matrix example and definition


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References

Confusion matrix Wikipedia

Stephen Allwright

Stephen Allwright

I'm a Data Scientist currently working for Oda, an online grocery retailer, in Oslo, Norway. These posts are my way of sharing some of the tips and tricks I've picked up along the way.
Oslo, Norway