zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
When you need to understand not just a single predicted value, but also the range of possible outcomes and their likelihood, this tool helps. It takes your existing dataset, similar to what you'd use for a standard prediction model, and outputs a prediction along with a confidence interval, indicating the spread of potential results. This is ideal for data scientists, analysts, or researchers who need to quantify uncertainty in their predictions.
252 stars. Available on PyPI.
Use this if you need to estimate the full distribution of potential outcomes for a given input, not just a single average prediction, especially with complex or high-dimensional data.
Not ideal if you only need a single point prediction and are not concerned with the uncertainty or range of possible values.
Stars
252
Forks
30
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
3
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