InTowards Data SciencebyDr. Theophano MitsaA Guide to 21 Feature Importance Methods and Packages in Machine Learning (with Code)From the OmniXAI, Shapash, and Dalex interpretability packages to the Boruta, Relief, and Random Forest feature selection algorithmsDec 19, 20234
Emily K MarshXGBoost Feature ImportanceExploring Three Different Feature Importance MethodsJan 31, 20235Jan 31, 20235
InIT’s TinkoffbyAlekseyML in marketing: How models make bank more sensitive to negative feedbackHello, data-driven enthusiasts! 👋 We are Aleksey, a cross-sell data analyst, and Aleksandr, an ML researcher-developer, and we’ve teamed…Oct 30Oct 30
InTowards Data SciencebySamuele MazzantiWhich Features Are Harmful For Your Classification Model?How to calculate the Error Contribution of the features of a classifier, with the goal of understanding and improving the modelSep 12, 202312Sep 12, 202312
InTowards Data SciencebyDr. Theophano MitsaA Guide to 21 Feature Importance Methods and Packages in Machine Learning (with Code)From the OmniXAI, Shapash, and Dalex interpretability packages to the Boruta, Relief, and Random Forest feature selection algorithmsDec 19, 20234
Emily K MarshXGBoost Feature ImportanceExploring Three Different Feature Importance MethodsJan 31, 20235
InIT’s TinkoffbyAlekseyML in marketing: How models make bank more sensitive to negative feedbackHello, data-driven enthusiasts! 👋 We are Aleksey, a cross-sell data analyst, and Aleksandr, an ML researcher-developer, and we’ve teamed…Oct 30
InTowards Data SciencebySamuele MazzantiWhich Features Are Harmful For Your Classification Model?How to calculate the Error Contribution of the features of a classifier, with the goal of understanding and improving the modelSep 12, 202312
Enes GökThe Most Easily Understood DataVisualizations: SHAP LIBRARYDo you know that you can also see the impact of a data point on model prediction?Oct 11
Trade MambaFeature Importance Methods Part 1. Mean Decrease in Impurity Feature ImportanceThis is the feature importance that comes for free for decision trees and ensembles of trees! No additional computation needed :)Oct 21
InTowards Data SciencebySamuele MazzantiYour Features Are Important? It Doesn’t Mean They Are Good“Feature Importance” is not enough. You also need to look at “Error Contribution” if you want to know which features are beneficial for…Aug 21, 202316
