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20162022
most citedPerformance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data

629 citations · 920 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022★ 104 cited

Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview

Florian Karl, Tobias Pielok, Julia Moosbauer +10

Hyperparameter optimization constitutes a large part of typical modern machine learning workflows. This arises from the fact that machine learning methods and corresponding preproc…

cs.LG2016★ 2 cited

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.