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## Objective
Implement the following Classification Models for classification of whether the ***'Type of Location'*** of the AQI data is ***'Industrial Area'*** or ***'Residential, Rural and other A…
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We should be able to provide a wrapper to allow this sklearn-style usage of our regression/classification:
```
import ponyge
reg = ponyge.ScikitLearnGERegressor(optimise_constants=True, generatio…
jmmcd updated
3 years ago
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We aim to re-produce this plot:
http://scikit-learn.org/stable/_images/plot_classifier_comparison_001.png
This should be super simple within an ipython notebook (for example the one on classification…
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For near-state of the art performance on regression and classification, I think we need:
* Gradient descent on constants, i.e. the grammar creates a constant called C0, C1, etc rather than a litera…
jmmcd updated
7 years ago
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We plan to do a new evaluation soon and want to share information about what we have been working on. The new evaluation will be included in a journal paper submission and available through OpenML.
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**Summary !!!**
- **BioModel Name**: Rahman2022 - High throughput antibacterial screening with machine learning.
- **BioModel Tag**: fair AIML, Machine learning model
- **Metadata Comments**…
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Hi @Jianguo99,
I am new to conformal prediction, and I have a multitask, multi-output model that performs both classification and regression for a specific problem. Is it possible to use this kind …
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Hi, thanks for opening the code.
Can I use this model to solve regression problem?
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Hello rawat28,
I have read the Hear-disease-prediction-Using-PSO (https://github.com/rawat28/Hear-disease-prediction-Using-PSO) that you uploaded to Github, and I have a question for you.
It is an…
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While "good" and "bad" are useful classes for training, there's no real reason why we couldn't create additional classifications that are automatically categorized - e.g. "solvent peak" or "only in st…