A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.
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Dec 24, 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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Jan 5, 2024 - 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
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
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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