PinnedJeffrey NäfinTowards Data ScienceDRF: A Random Forest for (almost) everythingWhen Breiman introduced the Random Forest (RF) algorithm in 2001, did he know the tremendous effect it would have? Nowadays RF is a heavily…16 min read·Feb 1, 2022--1--1
Jeffrey NäfinTowards Data ScienceHow to Evaluate Your PredictionsBe mindful of the measure you choose15 min read·May 17, 2024--3--3
Jeffrey NäfinTowards Data ScienceRandom Forests in 2023: Modern Extensions of a Powerful MethodRandom Forests came a long way12 min read·Nov 7, 2023--1--1
Jeffrey NäfinTowards Data ScienceVariable Importance in Random ForestsTraditional Methods and New Developments15 min read·Nov 3, 2023--2--2
Jeffrey NäfCLVTools Version 0.10.0Model your customers like never before4 min read·Oct 26, 2023--1--1
Jeffrey NäfinTowards Data ScienceRandom Forests and Missing ValuesThere is a very Intriguing Practical Fix9 min read·Jun 21, 2023--1--1
Jeffrey NäfinTowards Data ScienceStudying the Gender Wage Gap in the US Using Distributional Random ForestsAn example of a real data analysis with DRF13 min read·Feb 18, 2023--4--4
Jeffrey NäfinTowards Data ScienceInference for Distributional Random ForestsConfidence intervals for a powerful nonparametric method17 min read·Feb 17, 2023--1--1
Jeffrey NäfinTowards Data ScienceDeep Dive into HPLBs for A/B testing using Random ForestAn alternative to p-values in A/B-Testing17 min read·Dec 12, 2022----
Jeffrey NäfinTowards Data ScienceR-NL: Robust Nonlinear ShrinkageHigh-dimensional covariance estimation when tails are heavy10 min read·Nov 2, 2022----