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When you use tree-based models, a common approach is to investigate the feature importance induced by the splits of the trees.
* Example: http://scikit-learn.org/stable/auto_examples/ensemble/plot…
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I got an error running "permutation-importances-classifier", “forest” seems to be updated to “_forest” in sklearn. I changed "from sklearn.ensemble.forest import _generate_unsampled_indices" to "from …
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## Summary
In #3234, we've mentioned that the target encoding of categorical features are done in a cross-validation style. That means we randomly partition the training dataset into folds.
Throug…
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We had some trouble with the `nonsense_ensemble` folder not downloading properly and because of the `set -eu` in `download_model_files.sh`, the `models_encrypted` would not be decrypted. Below is a mo…
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There is a recent paper which explains how to do explain_prediction for trees and tree ensembles, which they claim to be better than treeinterpreter-like measures: https://arxiv.org/pdf/1706.06060.pdf…
kmike updated
5 years ago
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**Title**
PyBASC Demo: Creating Bagging Enhanced Functional Parcellations
**Presentor and Affiliation**
Aki Nikolaidis - The Child Mind Institute
**Collaborators**
@anibalsolon
**Github L…
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If the training labels have repeats of label values, then it is increasingly possible that every tree in the ensemble makes the same prediction (even if the input values are different). This could be…
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### Description:
Our current model scores need improvement ```model/model_selection.ipynb```. Here are the current scores:
- Linear Regression: 0.2667
- Lasso Regression: 0.2744
- Decision Tree: 0…
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Could you please explain more about the tree you placed at the end? How to read it, what does it mean, what kind of information to gather from this?
Thank you!
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Dear Matitas,
I am trying to use the keras-uncertainty library but I am getting the following error.
"Exception has occurred: TypeError (note: full exception trace is shown but execution is pau…
Zaf97 updated
3 months ago