. Before we show the calculation for the MCC, let’s first revisit the concept of a confusion matrix. As you can see in the image below, a confusion matrix has four cells created by combining the predicted values against the real values.
Two of those cells represent correct predictions , and the other represents incorrect predictions .The MCC takes values between -1 and 1. A score of 1 indicates perfect agreement. But how does the MCC compare against other popular metrics for imbalanced classes?is another very popular metric for imbalanced class problems. The F1-score is calculated as:
We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.