PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

1 March 2017

Papers citing "PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison"

7 / 7 papers shown

Title
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery Oliver Schacht Biwei Huang 91 0 0 16 May 2025
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 79 2 0 06 Nov 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models Ricardo Knauer Mario Koddenbrock Raphael Wallsberger Nicholas M. Brisson Georg N. Duda Deborah Falla David W. Evans Erik Rodner 86 0 0 27 Sep 2024
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 181 0 0 28 Oct 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection Jakob Bach 84 1 0 21 Jul 2023
Is deep learning necessary for simple classification tasks? Joseph D. Romano Trang T. Le Weixuan Fu J. Moore 71 15 0 11 Jun 2020
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 77 1,310 0 29 Jul 2014