DebiAI integrated Algorithms

DebiAI comes with a set of integrated algorithms that you can use right away. If you want to add your own algorithms, check the Custom algorithms documentation.

If you want to check the the code of the integrated algorithms, you can find it here (opens new window).

If you are interested in a specific algorithm, let us know (opens new window).

List of integrated algorithms

• Classification Metric, Calculates the classification error according to the ground truth and the predictions. Useful to evaluate the performance of a classification model. It basically calculates the number of misclassified samples. Finally, the algorithms returns a list of booleans that indicates True if the sample is misclassified and False otherwise.

• Regression Metric, Calculates the regression error according to the ground truth, the predictions and a ceil value. Useful to evaluate the performance of a regression model. It basically calculates the absolute difference between the ground truth and the predictions. Finally, the algorithms returns a list of booleans that indicates True if the error is above the ceil value.