Filter-based feature selection for mlr3
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Updated
Jul 19, 2024 - R
Filter-based feature selection for mlr3
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Explainable Machine Learning in Survival Analysis
Comprehensive dimensionality reduction and cluster analysis toolset
Tools to Support Relative Importance Analysis
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
Fast approximate Shapley values in R
Perform inference on algorithm-agnostic variable importance
💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
Variable Importance Plots (VIPs)
Code and tutorials for implementing the GlObal And Local Score
📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
🎯🎓 Generalized Targeted Learning Framework
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.
Variable importance through targeted causal inference, with Alan Hubbard
Simulating Supervised Learning Data
Code for Master Thesis
Final Project: Predictive and descriptive analysis, interpretations, and recommendations based on Austin Animal Center data on cats housed at the shelter. The main focus of this analysis is to determine which factors affect a cat's chances of being adopted or returned to their owner.
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