Addressing n<<p biology problems with interpretable random forest results via partial dependence plots. - Construction of an ideal high-density lipoprotein
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Nov 15, 2020
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partial-dependence-plots
Here are 6 public repositories matching this topic...
Partial-dependence plots on supervised-learning models
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Apr 28, 2020 - Jupyter Notebook
Why do employees leave? This project first compares the predictive performance of three different models, then uses the best model to help reveal the top contributing factors.
machine-learning
random-forest
confusion-matrix
logisitic-regression
xgboost-model
shapley-values
one-hot-encoding
permutation-importances
partial-dependence-plots
ordinal-encoding
gini-importance
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May 24, 2022 - Jupyter Notebook
This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techn…
exploratory-data-analysis
regression
internet-of-things
ice
lime
random-forest-regression
xgboost-regression
shap
partial-dependence-plots
lightgbm-regressor
surrogate-trees
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Mar 30, 2021 - Jupyter Notebook
little demo project on how to evaluate and interprete ordinal forests
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Sep 25, 2022 - R
Partial Dependencie Monitor, related to my theseiswork
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Feb 18, 2018 - HTML
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