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### Problem Description
Would be great to make Random Forest Quantile Regressor library compatible with Shap Tree Explainer
https://github.com/zillow/quantile-forest
This shouldn't be difficult to …
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Hi Viewer,
I am performing predictions using both `XGBoost` and `Random Forest` models on a dataset, but I consistently observe that the Random Forest model achieves better `R²` scores and `correla…
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Hi, I have troubles to run a simple code of Random Forest Regressor Multioutput using cuML.
It looks that curfr doesnt support multioutput
```
import cudf
import numpy as np
import pandas as …
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Reference :-
https://towardsdatascience.com/regression-tree-in-python-from-scratch-9b7b64c815e3
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This project involves predicting the duration of NYC taxi trips using various regression models. The notebook includes steps for data exploration, preprocessing, model training, and evaluation.
## …
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**Describe the bug**
the random forest regressor with sklearnex patch produce much larger MSE than the original sklearn random forest regressor.
The example in the document, compares implementat…
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### Describe the issue
We started to add Python type hints to our estimators. However, some existing hints for (Aeon) classes are incorrect, e.g.
https://github.com/aeon-toolkit/aeon/blob/be4af65…
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### Issue Description
I used a random forest model with 50 max_depth and 200 n_estimators. When I tried to use shap.TreeExplainer to get the shap value, my terminal reports this bug. I have 3000 data…
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Selected Classification Algorithms:
- [x] KNN
- [x] Decision Tree
- [x] Random Forest
- [x] XGBoost
- [x] MLP
- [x] LightGBM
Selected Regression Algorithms:
- [x] KNN
- [x] Decision Tree
-…
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Hi,
The Waterfall plot example from git does not work with RandomForestRegressor and throws this error:
`Exception: waterfall_plot requires a scalar base_values of the model output as the first …