A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.
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Updated
Apr 3, 2024 - Python
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permutation-importance
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eXplainable Artificial Intelligence (XAI) Basic Algorithms on Iris Dataset
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Updated
Jan 5, 2024 - Python
End-to-end project to analyze and model concrete compressive strength data then productionize the best model to help civil engineers determine concrete structural integrity
python
flask
data-science
regression
eda
xgboost
pca
pickle
concrete
feature-engineering
hyperparameter-tuning
civil-engineering
permutation-importance
compressive-strength
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Jun 20, 2023 - Python
Klasifikasi Musik Berdasarkan Genre Menggunakan Metode Naive Bayes.
feature-extraction
naive-bayes-classifier
classification
music-classification
mel-frequency-cepstral-coefficients
permutation-importance
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May 25, 2024 - Python
This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".
machine-learning
scikit-learn
machine-learning-algorithms
machinelearning
patents
machine-learning-models
partial-dependence-plot
machinelearning-python
patentsview
machine-learning-interpretability
permutation-importance
kpss
machine-learning-interpretation
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Jul 13, 2022 - Python
Feature importance refers to a measure of how important each feature/variable is in a dataset to the target variable or the model performance. It can be used to understand the relationships between variables and can also be used for feature selection to optimize the performance of machine learning models.
principal-component-analysis
lasso-regression
feature-importance
permutation-importance
spearman-rank-correlation
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Jun 18, 2023 - Python
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