Tag: Calibration

When a camera looking at an object, it is looking at the world similar to how our eyes do. By focusing the light that’s reflected off of objects in the world. In this case, though a small pinhole, the camera focuses the light that’s reflected off to a 3D traffic sign and forms a 2D image...

Despite the plethora of blogs one can find today that talk about fancy machine learning and deep learning models, I could not find many resources that spoke about model calibration and its importance. What I found even more surprising was that model calibration can be critical for some use cases and...

Suppose you have a binary classifier and two observations; the model scores them as 0.6 and 0.99, respectively. Is there a higher chance that the sample with the 0.99 score belongs to the positive class? For some models, this is true, but for others it might not. This blo...

The banking industry has been applying machine learning to enhance loan approval process, default risk assessments, and fraud detection, for example. Making accurate decisions in these areas is important for effective risk management and cost control, which can translate to significant value. Whi...

Suppose you have a binary classifier and two observations; the model scores them as 0.6 and 0.99, respectively. Is there a higher chance that the sample with the 0.99 score belongs to the positive class? For some models, this is true, but for others it might not. This blo...