Confusion matrix

Concept and definition

Confusion matrix

What is Confusion matrix?

A confusion matrix is a table used in the context of supervised learning in artificial intelligence and machine learning to evaluate the performance of a classification model. This matrix compares the actual labels of the test data with the labels predicted by the model and shows how many data were correctly classified and how many were misclassified.

The confusion matrix generally has four entries, which are: true positives (TP), false positives (FP), true negatives (TN) and false negatives (FN). True positives represent cases where the model correctly predicted the presence of a specific class, false positives represent cases where the model incorrectly predicted the presence of a specific class, true negatives represent cases where the model correctly predicted the absence of a specific class, and false negatives represent cases where the model incorrectly predicted the absence of a specific class.

The confusion matrix is a useful tool for evaluating the performance of a classification model and adjusting its parameters to improve its accuracy. In addition, several evaluation metrics, such as accuracy, recall, F1-score and error rate, can be calculated from the information provided by the confusion matrix.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
How do I know if a customer will pay me?

When it comes to gaining new clients, everything is joy and satisfaction for being able to provide them with our service or sell them our product in the best way possible, and we [...]

Read More »
AI, a new ally for telemarketing

The acquisition of new customers is one of the most important and difficult processes for a company. Traditionally, it has been necessary to resort to [...]

Read More »
How AI is revolutionizing fraud detection in e-commerce

As e-commerce continues to grow at a dizzying pace, fraudsters are also finding new and sophisticated ways to exploit the potential [...]

Read More »
Artificial intelligence applied to the semantic web 

The semantic web or "internet of knowledge" is an extension of the current web. Unlike the latter, the semantic web is based on proportional [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies