1.1k citations · 1.1k across the 5 of their papers we have counts for
5 papers
Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Martin Binder, Julia Moosbauer, Janek Thomas +1
Both feature selection and hyperparameter tuning are key tasks in machine learning. Hyperparameter tuning is often useful to increase model performance, while feature selection is…
Towards Human Centered AutoML
Florian Pfisterer, Janek Thomas, Bernd Bischl
Building models from data is an integral part of the majority of data science workflows. While data scientists are often forced to spend the majority of the time available for a gi…
Component-Wise Boosting of Targets for Multi-Output Prediction
Quay Au, Daniel Schalk, Giuseppe Casalicchio +3
Multi-output prediction deals with the prediction of several targets of possibly diverse types. One way to address this problem is the so called problem transformation method. This…
mlr Tutorial
Julia Schiffner, Bernd Bischl, Michel Lang +9
This document provides and in-depth introduction to the mlr framework for machine learning experiments in R.
OpenML: networked science in machine learning
Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl +1
Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In thi…