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Could you give me some advice about which function can I plot Optimal Classification Trees?
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We have classification problem with input state of dimension 1,000,000 (very large).
Current Decision Tree using greedy algorithm, it's impossible to get the optimal tree.
But, due to the nature o…
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- [ ] [Release Release 2.0.0 stable · dmlc/xgboost](https://github.com/dmlc/xgboost/releases/tag/v2.0.0)
# Release Release 2.0.0 stable · dmlc/xgboost
## Snippet
We are excited to announce the rele…
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**As you can see the model performs very poorly, so you can do the following to improve accuracy :-**
- `Write a new model from scratch ( XG Boost, Descision Tree, SVM Classification etc.)`
- Tw…
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Collaborative effort of the @neurodata lab, under the directions of @jovo.
### Describe the workflow you want to enable
The current `sklearn.tree` module is designed for batch learning only and …
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**Is your feature request related to a problem? Please describe.**
Honest sampling in forests was first outlined by Breiman et al. 1984 in Classification and Regression Forests, in which it was sug…
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Hi Alex,
Thanks for developing this package!
When using the random forest function the parameter "y" needs to be set to a factor for classification, other wise regression is performed. I was wonde…
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What's a good way to start off coming up with network features that you want to classify on (degree-based, centrality-based, path length-based, etc... there's lots)? Do you just pick a handful that se…
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …