Timeline for What is the difference between parametric and non-parametric models?
Current License: CC BY-SA 4.0
9 events
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| Oct 31, 2023 at 19:28 | comment | added | Antonios Sarikas | Apologize, I realized that my second comment does not make sense and I will remove it. Nevertheless, is there any definition of what a parameter, not hyperparameter is in a decision tree? | |
| Oct 31, 2023 at 19:02 | comment | added | prosti | So you would like to say that DT is a parametric model. LOL. | |
| Oct 31, 2023 at 17:01 | comment | added | Antonios Sarikas | I didn't ask about hyperparameters, I asked about "parameters". The distinction between parametric and non-parametric models boils down to whether the number of parameters varies with data. So, in a decision tree what qualifies as a parameter? If we don't have a definition of what is a "parameter" in a decision tree, then statements like "the number of parameters in a decision tree vary/grow with data" are meaningless. The parameters of a decision tree could be the regions of the tree and these indeed can vary with different amount of data. | |
| Oct 31, 2023 at 11:53 | comment | added | prosti | Criterion such as Gini, and max deep are consider as hyper parameters, DT do not have weights and biases in the same way as neural networks or other linear models and DT are considered as non parametric models. | |
| Oct 29, 2023 at 14:30 | comment | added | Antonios Sarikas | What are the parameters of a decision tree? | |
| S Mar 28, 2023 at 10:29 | history | suggested | Jaume Oliver Lafont | CC BY-SA 4.0 |
Completed reference
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| Mar 28, 2023 at 5:49 | review | Suggested edits | |||
| S Mar 28, 2023 at 10:29 | |||||
| S Mar 27, 2023 at 17:53 | review | First answers | |||
| Mar 28, 2023 at 19:36 | |||||
| S Mar 27, 2023 at 17:53 | history | answered | prosti | CC BY-SA 4.0 |