Topic: feature-importance Goto Github
Some thing interesting about feature-importance
Some thing interesting about feature-importance
feature-importance,This is a custom library for data processing, visualization and machine learning tools.
User: abdullah-al-masud
Home Page: https://msdlib.readthedocs.io/
feature-importance,In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
User: adiag321
feature-importance,Leave One Feature Out Importance
User: aerdem4
feature-importance,Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.
User: aliamini93
feature-importance,Customer Segmentation Using Unsupervised Machine Learning Algorithms
User: alifrmf
feature-importance,In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
User: archd3sai
feature-importance,Toolbox for analysis of model's quality and model's description. For further details see
User: broundal
Home Page: https://towardsdatascience.com/pytolemaic-package-for-model-quality-analysis-2b7bea751cfd
feature-importance,Solid-state synthesis science analyzer. Thermo, features, ML, and more.
Organization: cedergrouphub
feature-importance,Extract textual information from Amazon products reviews and draw correlations through regression and fluctuation analysis.
User: chunwangpro
feature-importance,Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
User: csinva
Home Page: https://arxiv.org/abs/1905.07631
feature-importance,Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" ๐ง (ICLR 2019)
User: csinva
Home Page: https://arxiv.org/abs/1806.05337
feature-importance,Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" ๐ (ICLR Workshop 2020)
User: csinva
Home Page: https://arxiv.org/abs/2003.01926
feature-importance,Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model
User: davidmasse
feature-importance,This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
User: dominance-analysis
Home Page: https://pypi.org/project/dominance-analysis/
feature-importance,Features selector based on the self selected-algorithm, loss function and validation method
User: duxuhao
Home Page: https://pypi.org/project/MLFeatureSelection/
feature-importance,XAI - An eXplainability toolbox for machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html#commitment-3
feature-importance,In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
User: farrellwahyudi
feature-importance,The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide
Organization: featurehub-ai
feature-importance,Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
User: haghish
feature-importance,Routines and data structures for using isarn-sketches idiomatically in Apache Spark
Organization: isarn
feature-importance,This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human concepts. For more details, please read our NeurIPS 2022 paper: 'Concept Activation Regions: a Generalized Framework for Concept-Based Explanations.
User: jonathancrabbe
feature-importance,This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
User: jonathancrabbe
feature-importance,Counterfactual SHAP: a framework for counterfactual feature importance
Organization: jpmorganchase
feature-importance,Counterfactual Shapley Additive Explanation: Experiments
Organization: jpmorganchase
feature-importance,A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.
User: kingychiu
Home Page: https://target-permutation-importances.readthedocs.io/en/latest/
feature-importance,ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
User: kochlisgit
feature-importance,Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
User: laura-rieger
feature-importance,The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1cymmyp2Bz-nYPKPnJNxtZdlYd7kdKhjd
feature-importance,Official repository of the paper "Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance", M. Carletti, M. Terzi, G. A. Susto.
User: mattiacarletti
Home Page: https://arxiv.org/abs/2007.11117
feature-importance,Awesome papers on Feature Selection
Organization: mlpapers
Home Page: https://mlpapers.org/feature-selection/
feature-importance,Shapley Interactions for Machine Learning
User: mmschlk
Home Page: https://shapiq.readthedocs.io
feature-importance,Feature importance by the permutation method (for fastai V1)
User: nestordemeure
feature-importance,An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
User: nredell
feature-importance,A Julia package for interpretable machine learning with stochastic Shapley values
User: nredell
Home Page: https://nredell.github.io/ShapML.jl/dev/
feature-importance,Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
User: parantapa
feature-importance,Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
User: pegah-ardehkhani
feature-importance,Model interpretability and understanding for PyTorch
Organization: pytorch
Home Page: https://captum.ai
feature-importance,Variance-based Feature Importance in Neural Networks
User: rebelosa
feature-importance,OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
User: rezacsedu
feature-importance,An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
User: riccardospolaor
feature-importance,Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.
User: sharmaroshan
feature-importance,A Rust implementation of fANOVA (functional analysis of variance)
User: sile
feature-importance,Deep Treatment Learning (R)
User: skadieye
feature-importance,Significance tests of feature relevance for a black-box learner
User: statmlben
Home Page: https://dnn-inference.readthedocs.io
feature-importance,๐ฒ๐Experience how to implement Machine Learning for A/B Testing,Create a Split Object, and then Extract the Training and Testing sets๐ฅ
User: storieswithsiva
Home Page: https://www.instagram.com/storieswithsiva
feature-importance,Beta Machine Learning Toolkit
User: sylvaticus
feature-importance,Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
User: teyang-lau
Home Page: https://hdb-resale-prices.vercel.app
feature-importance,Implementation of various feature selection methods using TensorFlow library.
User: tlatkowski
feature-importance,CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static data.
User: unnir
feature-importance,Adding feature_importances_ property to sklearn.cluster.KMeans class
User: yousefgh
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