What is a confusion matrix?
It is a table that is used in classification problems to assess where errors in the model were made.
The rows represent the actual classes the outcomes should have been. While the columns represent the predictions we have made. Using this table it is easy to see which predictions are wrong. Continue reading Machine Learning – Confusion Matrix