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Hi all,
I've noticed that there are few FLAML issues centred on reproducibility. That is, if we take the best model which FLAML provides us with (`automl.model`), and retrain and test it on the sam…
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I am experimenting with the Endometrial_POLE dataset with an added "Patients_per_Image" file. This was created according to the instructions in the README file on GitHub, with the scope to use multip…
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## Keyword: detection
### Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
- **Authors:** Authors: Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Ya…
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https://www.kaggle.com/elmadj/detect-credit-card-fraud-using-logistic-regression/notebook
https://www.kaggle.com/theonarh/kernels/notebooks/new?forkParentScriptVersionId=2167747
https://www.data-blo…
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We will initially proceed with our initial decision to split 'Predicted' (#21) from 'Experimental' (#34) Functional impact annotations - and model these as separate VA types. Our rationale was that:…
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## Description
In modeling a binary classification problem, the results do not change with the "metric" parameter.
## Reproducible example
```
import lightgbm as lgb
from sklearn.datasets i…
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Not all problems are equally amenable to deep learning. Make sure that there is a high prior probability that your problem will benefit from deep learning. Some useful rules of thumb:
- Is there "s…
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Clean the dataset
- [x] Eliminate the doublet.
cell type name formatting
- [x] Two columns: one column is original cell type names, the other column is the formatted names.
- [x] These n…
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Hi, I am trying to do some XAI evaluation experiments using classifiers and various Shap explainer algorithms.
I am using a breast_cancer binary classification toy data set in order to verify that t…