<p>No, the model parameters are fixed. The ROC curve only considers varying the classification threshold for the fixed model.</p>

CC BY-SA 4.0
2024-10-15T02:35:38.233Z
2024-10-15T02:35:38.233Z
Sycorax
<p>Is the following correct?</p>
<p>A given ROC curve is for a family of a probabilistic classifiers under
different threshold values. As the threshold value changes, the model
parameters change as well and hence different points on ROC curve represents a family
of classifiers with different mathematical parameters (model parameters) other than threshold parameter.</p>
<p><a href="https://i.sstatic.net/A2syvYa8.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/A2syvYa8.png" alt="enter image description here" /></a></p>

<machine-learning><classification>
Does a given ROC curve represent a family of classifiers with the same form but with different "model parameters" other than threshold parameter?
DSPinfinity
# Does a given ROC curve represent a family of classifiers with the same form but with different "model parameters" other than threshold parameter?

(Asked by: username_0 on 2024-10-15)

Is the following correct?

A given ROC curve is for a family of a probabilistic classifiers under
different threshold values. As the threshold value changes, the model
parameters change as well and hence different points on ROC curve represents a family
of classifiers with different mathematical parameters (model parameters) other than threshold parameter.

[![enter image description here](https://i.sstatic.net/A2syvYa8.png)](https://i.sstatic.net/A2syvYa8.png)

**Tags:** machine-learning, classification


---

## 1 answers

### Answer by username_1 on 2024-10-15. Score: 3

No, the model parameters are fixed. The ROC curve only considers varying the classification threshold for the fixed model.


---

